Table of Contents

• Integrating Multimodal Geospatiotemporal Data for Societal, Economic, and Environmental (SEE) Analysis of Large Agricultural SystemsOlatunde Akanbi, Jiaqi Li, Vibha Mandayam, Arafath Nihar, Yinghui Wu, Laura S. Bruckman, Jeffrey M. Yarus, Erika I. Barcelos, Roger H. French. 1 [doi]
• Optimized Precision Time Source and Time Synchronization SimulationRui Zhang, Alexander Tu, Wei Dai. 1-2 [doi]
• Liars are More Influential: Effect of Deception in Influence Maximization on Social NetworksMehmet Emin Aktas, Esra Akbas, Ashley Hahn. 1-10 [doi]
• Deciphering the contribution of 3D interactions between cis-regulatory elements and promoters to regulate gene expression using graph neural networksYang Chen 0004, Elissa P. Lei. 1 [doi]
• FedRAL: Cost-Effective Distributed Annotation via Federated Reinforced Active LearningYannis Lazaridis, Anestis Kastellos, Athanasios Psaltis, Petros Daras. 1-8 [doi]
• Data Generation for Photovoltaic Systems: Enhancing Accuracy with the Huld ModelAlì Aghazadeh Ardebili, Andreas Livera, George E. Georghiou, Antonella Longo, Antonio Ficarella. 1-6 [doi]
• Optimizing Rare Disease Patient Matching with Large Language ModelsArmin Berger, Ali Hamza Bashir, David Berghaus, Mowmita, Nazia Afsan, Lorenz Grigull, Lara Fendrich, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Tom Anglim Lagones, Tobias Deußer, Thiago Bell, Max Lübbering, Rafet Sifa. 1-5 [doi]
• Learning with Sparsely Permuted Data: A Robust Bayesian ApproachAbhisek Chakraborty, Saptati Datta. 4-13 [doi]
• A Full-History Network Dataset for BTC Asset Decentralization ProfilingLing Cheng 0002, Qian Shao, Fengzhu Zeng, Feida Zhu 0001. 14-23 [doi]
• Zero-th Order Algorithm for Softmax Attention OptimizationYichuan Deng 0002, Zhihang Li, Sridhar Mahadevan, Zhao Song 0002. 24-33 [doi]
• Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor DataHiroki Hasegawa, Kazuyoshi Yata, Yukihiko Okada, Jun Kunimatsu. 34-43 [doi]
• Faster Sampling Algorithms for Polytopes with Small TreewidthYekun Ke, Xiaoyu Li 0001, Zhao Song 0002, Tianyi Zhou. 44-53 [doi]
• A Planner for Scalable Tensor ProgramsTanvir Ahmed Khan, Leonidas Fegaras. 54-63 [doi]
• Evaluating Blocking Biases in Entity MatchingMohammad Hossein Moslemi, Harini Balamurugan, Mostafa Milani. 64-73 [doi]
• A machine-learning pipeline for merging and georeferencing very large archives of historical aerial photographsEugenio Noda, Luna Yue Huang, Trinetta Chong, Shruti Jain, Andreas Madestam, Anna Tompsett, Hannah Druckenmiller, Solomon Hsiang. 74-83 [doi]
• Luckiness Normalized Maximum Likelihood-based Change Detection for High-dimensional Graphical Models with Missing DataZhongyi Que, Linchuan Xu, Kenji Yamanishi. 84-93 [doi]
• ICL: An Incentivized Collaborative Learning FrameworkXinran Wang, Qi Le, Ahmad Faraz Khan 0001, Jie Ding 0002, Ali Anwar 0001. 94-103 [doi]
• Scalable Sampling for High Utility PatternsLamine Diop, Marc Plantevit. 104-109 [doi]
• RPS: A Generic Reservoir Patterns SamplerLamine Diop, Marc Plantevit, Arnaud Soulet. 110-115 [doi]
• Evaluating Text Summarization Techniques and Factual Consistency with Language ModelsMd. Moinul Islam, Usman Muhammad, Mourad Oussalah. 116-122 [doi]
• An Efficient Single-pass Online Computation of Higher-Order Bivariate StatisticsIlya Stupakov, Anton Kochepasov. 123-129 [doi]
• DyMGCN: Dynamic Multi-Graph Convolution Networks for Spatio-Temporal ForecastingHexiang Liu, Qilong Han, Jingyu Sheng, Dan Lu, Shanshan Sui, Hui Sun. 130-137 [doi]
• Disentangled Conditional Variational Autoencoder for Unsupervised Anomaly DetectionAsif Ahmed Neloy, Maxime Turgeon. 138-143 [doi]
• CRTRE: Causal Rule Generation with Target Trial Emulation FrameworkJunda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Hong Yu, Jiebo Luo 0001. 144-158 [doi]
• Unsupervised Domain Adaptation for Entity Blocking Leveraging Large Language ModelsYaoshu Wang, Mengyi Yan. 159-164 [doi]
• Multimodal Learning on Temporal DataYe Xue, Diego Klabjan, Jean Utke. 165-172 [doi]
• Fairness in Monotone k-submodular Maximization: Algorithms and ApplicationsYanhui Zhu, Samik Basu 0001, Aduri Pavan. 173-178 [doi]
• Efficient Data-parallel Distributed DNN Training for Big Dataset under Heterogeneous GPU ClusterShinyoung Ahn, Sookwang Lee, Hyeonseong Choi, JaeHyun Lee. 179-188 [doi]
• Custom Accessors: Enabling Scalable Data Ingestion, (Re-)Organization, and Analysis on Distributed SystemsVito Giovanni Castellana, Burcu O. Mutlu, Ian Di Dio Lavore, Jesun Firoz, Katherine E. Wolf, Marco Minutoli, John Feo. 189-198 [doi]
• susFL: Federated Learning-based Monitoring for Sustainable, Attack-Resistant Smart FarmsDian Chen 0007, Paul Yang, Dong Sam Ha, Jin-Hee Cho. 199-208 [doi]
• Stochastic Large-scale Machine Learning Algorithms with Distributed Features and ObservationsBiyi Fang, Diego Klabjan, Truong Vo. 209-242 [doi]
• Large-Scale Knowledge Graph Embeddings in Apache SparkBedirhan Gergin, Charalampos Chelmis. 243-251 [doi]
• QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep SurrogateKhondoker Mirazul Mumenin, Dong Dai 0001, Jinzhen Wang, Sheng Di. 252-261 [doi]
• CacheIt: Application-Agnostic Dynamic Caching for Big Data AnalyticsDat Nguyen, Muhammad Rafid, Nathanael Santoso, Khanh Nguyen 0001. 262-271 [doi]
• PerSSD: Persistent, Shared, and Scalable Data with Node-Local Storage for Scientific Workflows in Cloud InfrastructurePaula Olaya, Sophia Wen, Jay F. Lofstead, Michela Taufer. 272-281 [doi]
• Improving Data Science Applications with a Visual Cross-Platform Execution EnvironmentLucas M. Ponce, Dorgival O. Guedes. 282-291 [doi]
• A Study of Data-Path Bugs in PyTorch with a Focus on Memory IssuesRubayet Rahman Rongon, Chen Cao, Xuechen Zhang. 292-301 [doi]
• Scalable Big Spatial Data Processing with SQL Query Compilation and Distributed Morsel-driven ParallelismRahul Sahni, Xiaozheng Zhang 0005, Sudip Chatterjee, Suprio Ray. 302-311 [doi]
• Common Pitfalls with Data Deduplication Parameters and MetricsLuke Schultz, Owen Randall, Paul Lu. 312-321 [doi]
• DBRepo: A Data Repository System for Research Data in DatabasesMartin Weise, Andreas Rauber. 322-331 [doi]
• MPI Allgather Utilizing CXL Shared Memory Pool in Multi-Node Computing SystemsHooYoung Ahn, Seonyoung Kim, Yoo-Mi Park, Woojong Han, Shinyoung Ahn, Tu Tran, Bharath Ramesh 0005, Hari Subramoni, Dhabaleswar K. Panda 0001. 332-337 [doi]
• Key Compression Limits for k-Minimum Value SketchesCharlie Dickens, Eric Bax, Alexander Saydakov. 338-343 [doi]
• Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data ClusteringSe-Min Lim, Esmerald Aliaj, Sang-Woo Jun. 344-351 [doi]
• Optimizing Privacy While Limiting Information Loss in Distributed Data AnonymizationArseme Vadèle Djeufack Nanfack, Gaël Le Mahec, Gilles Dequen. 352-359 [doi]
• An Overview of the Data-Loader Landscape: Comparative Performance AnalysisIason Ofeidis, Diego Kiedanski, Leandros Tassiulas. 360-367 [doi]
• Distributed Data Analysis Workflow System across Multiple Data HubsSiwoon Son, Seong-Hwan Kim, Heesun Won. 368-373 [doi]
• FAIR Digital Objects for the Realization of Globally Aligned Data SpacesNicolas Blumenröhr, Philipp-Joachim Ost, Felix Kraus, Achim Streit. 374-383 [doi]
• ℓ1, 2-Norm and CUR Decomposition based Sparse Online Active Learning for Data Streams with Streaming FeaturesZhong Chen, Yi He, Di Wu, Liudong Zuo, Keren Li, Wenbin Zhang, Zhiqiang Deng. 384-393 [doi]
• Towards True Multi-interest Recommendation: Enhanced Scheme for Balanced Interest TrainingJaeri Lee, Jeongin Yun, U Kang. 394-402 [doi]
• Understanding the Intrinsic Characteristics of Spatial Partitioning in Distributed Spatial JoinZhuohan Xu, Dejun Teng, Zhaohui Peng, Fusheng Wang 0001. 403-412 [doi]
• Personalized Multi-task Training for Recommender SystemLiangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang 0014, Caiming Xiong, Philip S. Yu. 413-422 [doi]
• MIBR: Bridging Domains through Diverse Interests for Cross-Domain Sequential RecommendationChengzhe Zhang, Xu Min, Changsheng Li, Xiaolu Zhang, Weichang Wu, Jun Zhou, Ye Yuan, Guoren Wang. 423-432 [doi]
• Synthesizing Accurate Relational Data under Differential PrivacyAntheas Kapenekakis, Daniele Dell'Aglio, Charles Vesteghem, Laurids Poulsen, Martin Bøgsted, Minos N. Garofalakis, Katja Hose. 433-439 [doi]
• Session-based News Recommendation Using Cohesive PatternsMozhgan Karimi, Len Feremans, Boris Cule, Bart Goethals. 440-447 [doi]
• Causally Informed Factorization MachinesMao Lin Li, K. Selçuk Candan, Maria Luisa Sapino. 448-455 [doi]
• Visual Summary Thought of Large Vision-Language Models for Multimodal RecommendationYuqing Liu 0003, Yu Wang 0158, Yuwei Cao, Lichao Sun 0001, Philip S. Yu. 456-461 [doi]
• Meta-Learning for Debiasing Recommendation using Simulated Uniform DataSibo Lu, Zhen Liu, Xinxin Yang, Yilin Ding, Yibo Gao, Yafan Yuan. 462-467 [doi]
• Leveraging LLMs for Fair Data Labeling and Validation in Crowdsourcing Environments [Vision Paper]Ibrahim Mohamed Serouis, Florence Sèdes. 468-472 [doi]
• *Poonam Sharma, Dildar Ali, Suman Banerjee 0002. 473-478 [doi]
• Visual Lifelog Retrieval through Captioning-Enhanced InterpretationYu-Fei Shih, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen. 479-486 [doi]
• Transferable Sequential Recommendation via Vector Quantized Meta LearningZhenrui Yue, Huimin Zeng 0001, Yang Zhang 0031, Julian J. McAuley, Dong Wang 0002. 487-492 [doi]
• Optimal Scheduling Algorithms for Cost-Effective Bandwidth Reservation in HPNsLiudong Zuo, Pan Lai, Zhong Chen. 493-498 [doi]
• Zero-Shot Relational Learning for Multimodal Knowledge GraphsRui Cai, Shichao Pei, Xiangliang Zhang 0001. 499-508 [doi]
• Parallel Motif-Based Community DetectionTianyi Chen, Charalampos E. Tsourakakis. 509-518 [doi]
• Optimizing Diverse Information Exposure in Social GraphsJonathan Colin, Silviu Maniu. 519-528 [doi]
• AGO-FT: An adaptive guided oversampling based on fast space division and trustworthy sampling space for imbalanced noisy datasetsYi Deng, Min Wu, Yan Ma. 529-538 [doi]
• TensorSearch: Parallel Similarity Search on TensorsBin Dong 0002, Avinash Nayak, Verónica Rodríguez Tribaldos, Kesheng Wu, Jonathan Ajo-Franklin, Qile Zhang, Fan Guo, Suren Byna, Patrick Dobson, Alexander Sim. 539-548 [doi]
• On Modeling Adaptive Index Management as Adversarial SearchGajendra Doniparthi, Tim Otto, Stefan Deßloch. 549-558 [doi]
• DyGCL: Dynamic Graph Contrastive Learning For Event PredictionMuhammed Ifte Khairul Islam, Khaled Mohammed Saifuddin, Tanvir Hossain, Esra Akbas. 559-568 [doi]
• GNN-Based Persistent K-core Community Search in Temporal GraphsZongli Jiang, Yirui Tan, Guoxin Chen, Fangda Guo, Jinli Zhang, Xiaolu Bai. 569-578 [doi]
• Fast Distributed Memory Parallel Algorithms for Finding Connected Components in Large GraphsMaleq Khan, Sharon Boddu. 579-588 [doi]
• Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product GapSrivatsa Mallapragada, Ying Xie, Varsha Rani Chawan, Zeyad Hailat, Yuanbo Wang. 589-598 [doi]
• CanDE: A Lightweight Locality-Sensitive Hashing Add-on for Candidate-Based Distribution EstimationJingfan Meng, Huayi Wang, Kexin Rong 0001, Jun Xu. 599-609 [doi]
• Efficient Point-to-Subspace ANNS in Manhattan and Lp Space by LSH PruningJingfan Meng, Huayi Wang, Jun Xu. 610-619 [doi]
• *Ashirbad Mishra, Shad Kirmani, Kamesh Madduri. 620-629 [doi]
• Retrieving Top-k Hyperedge Triplets: Models and ApplicationsJason Niu, Ilya D. Amburg, Sinan G. Aksoy, Ahmet Erdem Sariyüce. 630-639 [doi]
• Closer through commonality: Enhancing hypergraph contrastive learning with shared groupsDaeyoung Roh, Donghee Han, Daehee Kim, Keejun Han, Mun Yong Yi. 640-649 [doi]
• Shrink: Data Compression by Semantic Extraction and Residuals EncodingGuoyou Sun, Panagiotis Karras, Qi Zhang 0020. 650-659 [doi]
• SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction FrameworkSurendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu 0004, Imran Razzak, Usman Naseem. 660-669 [doi]
• Context-Aware Diffusion-based Sequential RecommendationDi You, Kyumin Lee. 670-679 [doi]
• Automated Polynomial Filter Learning for Graph Neural NetworksWendi Yu, Zhichao Hou, Xiaorui Liu. 680-689 [doi]
• ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential RecommendationXiaofan Zhou, Kyumin Lee. 690-699 [doi]
• Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural NetworkMatthew Fried, Honggang Wang, Hua Fang. 700-708 [doi]
• Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse IndexesJinrui Gou, Yifan Liu, Minghao Shao, Torsten Suel. 709-716 [doi]
• WalkBayes: Robust Node Classification via Bayesian Inference and Random Walks under PerturbationsShuqi He, Jun Song. 717-722 [doi]
• Next Topic Recommendation for Influencers on Social MediaMasafumi Iwanaga, Keishi Tajima, Yoko Yamakata. 723-728 [doi]
• Multiscale Dubuc: A New Similarity Measure for Time SeriesMahsa Khazaei, Azim Ahmadzadeh, Krishna Rukmini Puthucode. 729-734 [doi]
• Efficient counting of balanced (2, k)-bicliques in Signed Bipartite GraphsMekala Kiran, Apurba Das, Suman Banerjee. 735-740 [doi]
• Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language ModelsQuan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang. 741-746 [doi]
• Federated Contrastive Learning of Graph-Level RepresentationsXiang Li, Gagan Agrawal, Rajiv Ramnath, Ruoming Jin. 747-752 [doi]
• Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise FunctionsMd. Mahin, Christoph F. Eick. 753-760 [doi]
• DifStoryGen: Diffusion-Based Storytelling Algorithm with Distributed AttentionAlireza P. Nouri, Mahmud Shahriar Hossain. 761-768 [doi]
• Evaluating Performance Trade-offs of Caching Strategies for AI-Powered Querying SystemsHyunju Oh, Wei Zhang, Christopher D. Rickett, Sreenivas R. Sukumar 0001, Suren Byna. 769-776 [doi]
• Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug RepurposingOlawumi Olasunkanmi, Evan Morris, Yaphet Kebede, Harlin Lee, Stanley C. Ahalt, Alexander Tropsha, Chris Bizon. 777-782 [doi]
• Enhancing Discoverability and Management of Atmospheric Data at Scale: Solutions from the ARM Data CenterChirag Shah, Wade Darnell, Hannah Collier, Harold Shanafield, Michael Giansiracusa, Giri Prakash. 783-792 [doi]
• A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor StreamsAntonios Skevis, George Klioumis, Nikos Giatrakos. 793-798 [doi]
• Monarch: Distributed Butterfly Counting for Large-scale Bipartite GraphYuxin Tang, Mangesh Bendre, Mahashweta Das. 799-804 [doi]
• KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language ModelsZaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li. 805-810 [doi]
• Early Stopping Based on Repeated SignificanceEric Bax, Arundhyoti Sarkar, Alex Shtoff. 811-819 [doi]
• Targeting Negative Flips in Active Learning using Validation SetsRyan Benkert, Mohit Prabhushankar, Ghassan Alregib. 820-829 [doi]
• 2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph PartitioningJustin Carpenter, Edoardo Serra. 830-839 [doi]
• LIVE-ITS: LSH-based Interactive Visualization Explorer for Large-Scale Incomplete Time SeriesHongjie Chen 0003, Aaron D. Beachnau, Panos Thomas, Pranav Maneriker, Josh Kimball, Ryan A. Rossi. 840-849 [doi]
• GAN Stabilization Under Practical Training AssumptionsJoshua DeOliveira, Walter Gerych, Elke A. Rundensteiner. 850-859 [doi]
• SeriesGAN: Time Series Generation via Adversarial and Autoregressive LearningMohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi. 860-869 [doi]
• Enhancing Big Data Analysis: A Recursive Window Segmentation Strategy for Multivariate Longitudinal DataDesmond Fomo, Aki-Hiro Sato. 870-879 [doi]
• Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution SelectionKevin Garcia, Juan M. Perez, Yifeng Gao. 880-889 [doi]
• MAcPNN: Mutual Assisted Learning on Data Streams with Temporal DependenceFederico Giannini, Emanuele Della Valle. 890-899 [doi]
• LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model TrainingShreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy. 900-909 [doi]
• Risk Diversification Strategy with Moving Average Reversion for Automatic Portfolio OptimizationYuki Hayashi, Atsuyoshi Nakamura. 910-917 [doi]
• Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language UnderstandingWenbin Hua, Yufan Wang, Rui Fan 0005, Xinhui Tu, Tingting He. 918-927 [doi]
• OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and DiscoveryMatthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen 0001. 928-937 [doi]
• SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problemsH. M. Mohaimanul Islam, Huynh Quang Nguyen Vo, Paritosh Ramanan. 938-948 [doi]
• FEED: Fairness-Enhanced Meta-Learning for Domain GeneralizationKai Jiang, Chen Zhao, Haoliang Wang, Feng Chen. 949-958 [doi]
• A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie L. Shalin, Amit P. Sheth. 959-968 [doi]
• Stochastic Scale Invariant Power Iteration for KL-divergence Nonnegative Matrix FactorizationCheolmin Kim, Youngseok Kim, Yegna Subramanian Jambunath, Diego Klabjan. 969-977 [doi]
• SPrint: Self-Paced Continual Learning with Adaptive Curriculum and Memory ReplayMin Seon Kim, Ling Liu, Hyuk-Yoon Kwon. 978-987 [doi]
• Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming DataGeorge Klioumis, Nikos Giatrakos. 988-997 [doi]
• DynamicFL: Federated Learning with Dynamic Communication Resource AllocationQi Le, Enmao Diao, Xinran Wang, Ahmad Faraz Khan 0001, Vahid Tarokh, Jie Ding 0002, Ali Anwar 0001. 998-1008 [doi]
• Accurate Coupled Tensor Factorization with Knowledge GraphSeungjoo Lee, Yong-chan Park, U Kang. 1009-1018 [doi]
• Effective Guidance for Model Attention with Simple Yes-no AnnotationsSeongmin Lee 0007, Ali Payani, Duen Horng (Polo) Chau. 1019-1028 [doi]
• Fast Second-order Method for Neural Networks under Small Treewidth SettingXiaoyu Li 0001, Jiangxuan Long, Zhao Song 0002, Tianyi Zhou. 1029-1038 [doi]
• Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error BoundsXiao Li, Jaemoon Lee, Anand Rangarajan 0001, Sanjay Ranka. 1039-1048 [doi]
• A Hybrid Model Based on Graph Convolutional Network and Multi-head Transformer for Joint Multiple Intent Detection and Slot FillingDongsheng Li, Kun Niu, Xiao Chen, Zhihai Wang. 1049-1056 [doi]
• UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph LearningJunhong Lin, Xiaojie Guo 0002, Shuaicheng Zhang, Dawei Zhou 0003, Yada Zhu, Julian Shun. 1057-1066 [doi]
• A Green Learning Approach to Efficient Image DemosaickingMahtab Movahhedrad, Zijing Chen, C. C. Jay Kuo. 1067-1074 [doi]
• Automating Data Science Pipelines with Tensor CompletionShaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh, Mehnaz Tabassum Mahin, Vassilis J. Tsotras, Jia Chen, Evangelos E. Papalexakis. 1075-1084 [doi]
• ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics SystemRahul Pandey, Ziwei Zhu 0001, Hemant Purohit. 1085-1093 [doi]
• Pre-Trained Language Models with Topic Attention for Supervised Document Structure LearningDang-Pham, Tuan M. V. Le. 1094-1103 [doi]
• Improving CLIP for Biomedical Retrieval: A Multi-Margin Contrastive Loss ApproachEjan Shakya, Haritha Prasad Rayakota, Pei-Chi Huang. 1104-1113 [doi]
• Real-Time Finger-Video Analysis for Accurate Identity Verification in Mobile DevicesSulabh Shrestha, Emanuela Marasco, Babek H. Norouzlou. 1114-1123 [doi]
• PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of PartiesJingwei Sun 0002, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen 0001. 1124-1133 [doi]
• MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-LearningHaoliang Wang, Chen Zhao, Feng Chen. 1134-1143 [doi]
• Incomplete Multi-Kernel k-Means Clustering With Fractional-Order EmbeddingDeheng Xu, Yun Li, Yunhao Yuan 0001, Jipeng Qiang, Yi Zhu 0006. 1144-1150 [doi]
• A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and AdjustmentZhengchao Yang, Mithun Ghosh, Anish Saha, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee. 1151-1160 [doi]
• Quality-Aware Experience Exploitation in Model-Based Reinforcement LearningGuang Yang, Jiahe Li, Ziye Geng, Changqing Luo. 1161-1166 [doi]
• A Feedback-based Decision-Making Mechanism for Actor-Critic Deep Reinforcement LearningGuang Yang, Ziye Geng, Jiahe Li, Yanxiao Zhao, Sherif Abdelwahed, Changqing Luo. 1167-1176 [doi]
• Aligning the Representation of Knowledge Graph and Large Language Model for Causal Question AnsweringZefan Zeng, Qing Cheng 0004, Xingchen Hu, Zhong Liu, Jingke Shen, YaHao Zhang. 1177-1186 [doi]
• Tenet: Benchmarking Data Stream Classifiers in Presence of Temporal DependenceGiacomo Ziffer, Federico Giannini, Emanuele Della Valle. 1187-1196 [doi]
• Explingo: Explaining AI Predictions using Large Language ModelsAlexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni. 1197-1208 [doi]
• Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity AnalysisTemitope Adeyeha, Chetraj Pandey, Berkay Aydin. 1209-1214 [doi]
• OrionBench: Benchmarking Time Series Generative Models in the Service of the End-UserSarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni. 1215-1222 [doi]
• Near Real-Time Wildfire Damage Assessment using Aerial Thermal Imagery and Machine LearningSaqib Azim, Mai H. Nguyen, Daniel Crawl, Jessica Block, Rawaf Al Rawaf, Francesca Hart, Mark Campbell, Robert Scott, Ilkay Altintas. 1223-1228 [doi]
• COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series ClassificationOumaima Badi, Maxime Devanne, Ali Ismail-Fawaz, Javidan Abdullayev, Vincent Lemaire 0001, Stefano Berretti, Jonathan Weber, Germain Forestier. 1229-1236 [doi]
• Data Reliability Enhanced Prediction for Recommendation System: A Case Study on Named Entity RecognitionPrianka Banik, Lin Li, Xishuang Dong, Lijun Qian. 1237-1242 [doi]
• Zero-shot LLM-guided Counterfactual Generation: A Case Study on NLP Model EvaluationAmrita Bhattacharjee, Raha Moraffah, Joshua Garland, Huan Liu 0001. 1243-1248 [doi]
• RYAN: A tool for explaining and visually analyzing the evolution of Relaxed Functional DependenciesLoredana Caruccio, Stefano Cirillo, Gianpaolo Iuliano, Giuseppe Polese, Roberto Stanzione. 1249-1254 [doi]
• A Study of Foundation Models for Large-scale Time-series ForecastingHongjie Chen 0003, Ryan A. Rossi, SungChul Kim, Kanak Mahadik, Hoda Eldardiry. 1255-1259 [doi]
• Estimate Causal Effects of Entangled Treatment on Graphs using Disentangled Instrumental VariablesJingyuan Chou, Jiangzhuo Chen, Madhav V. Marathe. 1260-1267 [doi]
• Clustering and Topic Discovery of Multiway Data via Joint-NCMTFBenjamin Cobb, Ricardo Velasquez, Richard W. Vuduc, Haesun Park. 1268-1275 [doi]
• Spatial-temporal Graph Transformer Network for Spatial-temporal ForecastingMinh-Son Dao, Koji Zettsu, Duy-Tang Hoang. 1276-1281 [doi]
• Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series ForecastingAnnunziata D'Aversa, Gianvito Pio, Michelangelo Ceci. 1282-1287 [doi]
• Ternary Logit Distillation via Non-Target Classes DecompositionNinghua Dong, Zhen Liu, Xiang He 0008, Yiran Li. 1288-1293 [doi]
• On Rank Selection for Nonnegative Matrix FactorizationSrinivas Eswar, Koby Hayashi, Benjamin Cobb, Ramakrishnan Kannan, Grey Ballard, Richard W. Vuduc, Haesun Park. 1294-1301 [doi]
• FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher InformationShreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy. 1302-1308 [doi]
• SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated TextWeiqing He, Bojian Hou, Tianqi Shang, Davoud Ataee Tarzanagh, Qi Long, Li Shen 0001. 1309-1314 [doi]
• DataInsight: Big Data Analytics ServicesHelia Hedayati, Saeed Samet. 1315-1320 [doi]
• Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical AnalysisKazuhiro Hiraki, Shinichi Ishihara, Junnosuke Shino. 1321-1326 [doi]
• ACTS: Adaptive Counterfactual Explanations for Time Series Data Using BarycentersPouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi. 1327-1332 [doi]
• Personalized Federated Learning Techniques: Empirical AnalysisAzal Ahmad Khan, Ahmad Faraz Khan 0001, Haider Ali, Ali Anwar 0001. 1333-1339 [doi]
• OL4TeX: Adaptive Online Learning for Text Classification under Distribution ShiftsMin Seon Kim, Ling Liu, Hyuk-Yoon Kwon. 1340-1345 [doi]
• Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area NetworksIsaiah J. King, Benjamin Bowman, H. Howie Huang. 1346-1351 [doi]
• CATS: Contrastive learning for Anomaly detection in Time SeriesJoël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, Raouf Boutaba. 1352-1359 [doi]
• Melanoma Classification using GAN based augmentation and Self-Supervised feature extractionAkanksha Lal, Sadhana Tiwari, Rushil Patra, Sonali Agarwal. 1360-1366 [doi]
• Perturbation-driven data augmentation for time series anomaly detection improvement in predictive maintenanceHyeyoung Lee, Sangkyun Lee, Sungjoon Choi. 1367-1372 [doi]
• Periscope: A Framework for Visualizations of Multiresolution Spatiotemporal Data at ScaleEverett Lewark, Matthew Young, Paahuni Khandelwal, Sangmi Lee Pallickara, Shrideep Pallickara. 1373-1380 [doi]
• A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence RepresentationHao Li, ChunZhi Xie, Zhoulin Cao, Yan-Li Lee 0001, Jia Liu, Zhisheng Gao. 1381-1386 [doi]
• VideoBadminton: A Video Dataset for Badminton Action RecognitionQi Li, Tzu-Chen Chiu, Hsiang-Wei Huang, Min-Te Sun, Wei-Shinn Ku. 1387-1392 [doi]
• Federated Learning under Sample Selection HeterogeneityHuy Mai, Xintao Wu. 1393-1400 [doi]
• A Progressive Meta-Algorithm for Large and Seamless Super Resolution ImagesJayalakshmi Mangalagiri, Aryya Gangopadhyay, David Chapman 0001. 1401-1406 [doi]
• Deep Learning for Koopman Operator Estimation in Idealized Atmospheric DynamicsDavid Millard 0003, Arielle Carr, Stéphane Gaudreault. 1407-1412 [doi]
• Efficient SGD Neural Network Training via Sublinear Activated Neuron IdentificationLianke Qin, Zhao Song 0002, Yuanyuan Yang 0005. 1413-1427 [doi]
• LLM4cast: Repurposed LLM for Viral Disease ForecastingFarah Saeed, Mohammed Aldosari, Ismailcem Budak Arpinar, John A Miller. 1428-1433 [doi]
• Impact of Noise in Large Real-World Datasets on Semi-Supervised Object Detection: A Case Study of Homeless Encampments DetectionBhavyesh Sajja, Seon Ho Kim. 1434-1441 [doi]
• NysAct: A Scalable Preconditioned Gradient Descent using Nyström ApproximationHyunseok Seung, Jaewoo Lee, Hyunsuk Ko. 1442-1449 [doi]
• Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuningJimeng Shi, Azam Shirali, Giri Narasimhan. 1450-1457 [doi]
• Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep LearningMd. Saiful Bari Siddiqui, Md Mohaiminul Islam, Md. Golam Rabiul Alam. 1458-1463 [doi]
• Personalized Federated Learning by Domain-Aware Network Pruning and Re-growthYuto Suzuki, Farnoush Banaei Kashani. 1464-1469 [doi]
• Optimizing Liquid Neural Networks: A comparative study of LTCs and CFCsPranav Deepak Tanna, Siddharth Khare, Sanyam Sanjay Jain, Shivodit Raj Vishnoi, Samay Roy, Jagat Sesh Challa. 1470-1475 [doi]
• EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare PredictionOnur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi. 1476-1483 [doi]
• SkipSNN: Efficiently Classifying Spike Trains with Event-attentionHang Yin, Yao Su 0003, Liping Liu, Thomas Hartvigsen, Xin Dai, Xiangnan Kong. 1484-1491 [doi]
• DistDNAS: Search Efficient Feature Interactions within 2 HoursTunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen 0001. 1492-1499 [doi]
• Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point CloudHong Zhao, Huyunting Huang, Tonglin Zhang, Baijian Justin Yang, Jin Wei-Kocsis, Songlin Fei. 1500-1507 [doi]
• Deep Learning Service for Efficient Data Distribution Aware SortingXiaoke Zhu, Qi Zhang, Wei Zhou, Ling Liu. 1508-1515 [doi]
• Hierarchical Federated Learning with PrivacyVarun Chandrasekaran, Suman Banerjee 0001, Diego Perino, Nicolas Kourtellis. 1516-1525 [doi]
• Calibrating Practical Privacy Risks for Differentially Private Machine LearningYuechun Gu, Keke Chen. 1526-1535 [doi]
• RCDP: A Privacy-Preserving Approach for Synthesizing Realistic Commuting DataXiaoying Liu, Juanjuan Zhao, Xitong Gao, Kejiang Ye. 1536-1545 [doi]
• Factify: An Automated Fact-Checker for Web InformationAdemola Adesokan, Shady Elbassuoni. 1546-1551 [doi]
• DP-TabICL: In-Context Learning with Differentially Private Tabular DataAlycia N. Carey, Karuna Bhaila, Kennedy Edemacu, Xintao Wu. 1552-1557 [doi]
• Reconsider Time Series Analysis for Insider Threat DetectionChia-Cheng Chen, Hsing-Kuo Pao. 1558-1565 [doi]
• SecureSphere: Advancing Security and Robustness in Query Processing over Outsourced DataEray Dogan, Meghdad Mirabi, Carsten Binnig. 1566-1573 [doi]
• Reliable Time Series Counterfactual Explanations Guided by ShapeDBAPeiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi. 1574-1579 [doi]
• Vision Paper: Are Identity Verification Systems Adequately Tailored for Neurodivergent Individuals?Emanuela Marasco, Nora McDonald, Vivian Genaro Motti. 1580-1584 [doi]
• Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based RecommendationsShahnewaz Karim Sakib, Anindya Bijoy Das. 1585-1592 [doi]
• FedGSDW: Enhancing Federated Learning Robustness against Model Poisoning AttackXiujin Shi, Naiwen Sun, Jiawei Gong, Shoujian Yu. 1593-1598 [doi]
• XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature SubstitutionKiana Vu, Phung Lai, Truc Nguyen. 1599-1604 [doi]
• Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic ParityXuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo, Siamak Ghodsi, Klaus Broelemann, Steffen Staab, Gjergji Kasneci. 1605-1614 [doi]
• Empowering Meta-Analysis: Leveraging Large Language Models for Scientific SynthesisJawad Ibn Ahad, Rafeed Mohammad Sultan, Abraham Kaikobad, Fuad Rahman 0001, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman. 1615-1624 [doi]
• Benchmarking Human and Automated Prompting in the Segment Anything ModelJorge Quesada, Zoe Fowler, Mohammad AlOtaibi, Mohit Prabhushankar, Ghassan Alregib. 1625-1634 [doi]
• BanglaDialecto: An End-to-End AI-Powered Regional Speech StandardizationMd. Nazmus Sadat Samin, Jawad Ibn Ahad, Tanjila Ahmed Medha, Fuad Rahman 0001, Mohammad Ruhul Amin, Nabeel Mohammed, Shafin Rahman. 1635-1644 [doi]
• Automatic Prompt Generation and Optimization by Leveraging Large Language Models to Enhance Few-Shot Learning in Biomedical TasksYiwen Shi, Xiaohua Hu. 1645-1654 [doi]
• Resources Construction and LLM Fine-tuning for Education of Computer ScienceBingjiao Wang, Yong Zhang, Qinglei Zeng. 1655-1663 [doi]
• Mitigating Sycophancy in Large Language Models via Direct Preference OptimizationAzal Ahmad Khan, Sayan Alam, Xinran Wang, Ahmad Faraz Khan 0001, Debanga Raj Neog, Ali Anwar 0001. 1664-1671 [doi]
• Prompt Chaining-Assisted Malware Detection: A Hybrid Approach Utilizing Fine-Tuned LLMs and Domain Knowledge-Enriched Cybersecurity Knowledge GraphsNeha Mohan Kumar, Fahmida Tasnim Lisa, Sheikh Rabiul Islam. 1672-1677 [doi]
• StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style TransformationShenyang Liu, Yang Gao, Shaoyan Zhai, Liqiang Wang. 1678-1685 [doi]
• Performance Characterization of Expert Router for Scalable LLM InferenceJosef Pichlmeier, Philipp Ross, André Luckow. 1686-1693 [doi]
• TabularFM: An Open Framework For Tabular Foundational ModelsQuan M. Tran, Suong N. Hoang, Lam M. Nguyen, Dzung T. Phan, Hoang Thanh Lam. 1694-1699 [doi]
• Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image AnalysisPrateek Verma, Minh-Hao Van, Xintao Wu. 1700-1705 [doi]
• LongKey: Keyphrase Extraction for Long DocumentsJeovane Honório Alves, Radu State, Cinthia Obladen de Almendra Freitas, Jean Paul Barddal. 1706-1715 [doi]
• SE(3) Equivariant Neural Network for 3D GraphsSarp Aykent, Tian Xia 0006. 1716-1725 [doi]
• Constructing A Human-Centered Dataset for Second Language Acquisition via Large Language ModelsYunlong Fan, Baixuan Li, Zhiheng Yang, Zhiqiang Gao. 1726-1735 [doi]
• Context-Specific Feature Augmentation for Improving Social Determinants of Health ExtractionLei Gong, Andrey Shor, Aidong Zhang, Kishlay Jha. 1736-1745 [doi]
• Embracing Foundation Models for Advancing Scientific DiscoverySikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang. 1746-1755 [doi]
• Predicting ChatGPT's Ability to Solve Complex Programming ChallengesNguyen Ho, James May, Bao Ngo, Jack Formato, Linh Ngo, Van Long Ho, Hoang Bui. 1756-1764 [doi]
• Is it Fine to Tune? Evaluating SentenceBERT Fine-tuning for Brazilian Portuguese Text Stream ClassificationBruno Yuiti Leão Imai, Cristiano Mesquita Garcia, Marcio Vinicius Rocha, Alessandro Lameiras Koerich, Alceu de Souza Britto Jr., Jean Paul Barddal. 1765-1774 [doi]
• A Scalable Game-theoretic Approach to Urban Evacuation Routing and SchedulingKazi Ashik Islam, Da Qi Chen, Madhav V. Marathe, Henning S. Mortveit, Samarth Swarup, Anil Vullikanti. 1775-1784 [doi]
• DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit SystemsTobias Johannesson, Isak Rubensson, Sina Sheikholeslami, Ahmad Al-Shishtawy, Vladimir Vlassov. 1785-1794 [doi]
• Accurate Stock Movement Prediction via Multi-Scale and Multi-Domain ModelingJinGee Kim, Yong-chan Park, Jaemin Hong, U Kang. 1795-1803 [doi]
• A Confidence-Based Power-Efficient Framework for Sleep Stage Classification on Consumer WearablesHsu-Chao Lai, Po Hsiang Fang, Yi-Ting Wu, Lo Pang-Yun Ting, Kun-Ta Chuang. 1804-1813 [doi]
• SparrowVQE: Visual Question Explanation for Course Content UnderstandingJialu Li, Manish Kumar Thota, Ruslan Gokhman, Radek Holik, Youshan Zhang. 1814-1823 [doi]
• EEG2Text: Open Vocabulary EEG-to-Text Translation with Multi-View TransformerHanwen Liu, Daniel Hajialigol, Benny Antony, Aiguo Han, Xuan Wang 0008. 1824-1833 [doi]
• Efficient Arrhythmia Detection Using Progressive Resolution ShrinkingTavonput Luangphasy, Xinghui Zhao. 1834-1843 [doi]
• Enhancing Cross-Modal Contextual Congruence for Crowdfunding Success using Knowledge-infused LearningTrilok Padhi, Ugur Kursuncu, Yaman Kumar 0001, Valerie L. Shalin, Lane Peterson Fronczek. 1844-1853 [doi]
• [Vision Paper] PRObot: Enhancing Patient-Reported Outcome Measures for Diabetic Retinopathy using Chatbots and Generative AIMaren Pielka, Tobias Schneider, Jan Terheyden, Rafet Sifa. 1854-1859 [doi]
• Deep Computer Vision for Solar Physics Big Data: Opportunities and Challenges [Vision Paper]Bo Shen, Marco Marena, Chenyang Li, Qin Li, Haodi Jiang, Mengnan Du, Jiajun Xu, Haimin Wang. 1860-1864 [doi]
• Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language ModelsPalak Sood, Chengyang He, Divyanshu Gupta, Yue Ning, Ping Wang. 1865-1872 [doi]
• An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron DiffractometryTianle Wang 0001, Jorge Ramirez, Cristina Garcia-Cardona, Thomas Proffen, Shantenu Jha, Sudip K. Seal. 1873-1882 [doi]
• SO(3) Equivariant Framework for Spatial NetworksTian Xia 0006, Sarp Aykent. 1883-1891 [doi]
• LLM Augmentations to support Analytical Reasoning over Multiple DocumentsRaquib Bin Yousuf, Nicholas Defelice, Mandar Sharma, Shengzhe Xu, Naren Ramakrishnan. 1892-1901 [doi]
• EGANKT: Enhancing Graph-Attention Networks for Knowledge Tracing by Predicting Concepts and AbilitiesQiwen Zheng, Shun Mao, Kai Chen, Yuncheng Jiang. 1902-1908 [doi]
• Animal-JEPA: Advancing Animal Behavior Studies Through Joint Embedding Predictive Architecture in Video AnalysisChengjie Zheng, Tewodros Mulugeta Dagnew, Liuyue Yang, Wei Ding, Shiqian Shen, Changning Wang, Ping Chen. 1909-1918 [doi]
• Enhancing Financial Reasoning in Large Language Models: The Role of Gold FactsShoutai Zhu, Ziqiang Yuan, Kaiyuan Wang, Yishu Zhang, Wenqi Wei. 1919-1928 [doi]
• YOLOv10 Computer Vision Performance Measurement for Agricultural Vacuum Seed MetersManuel Blaser, Wesley Porter, Luke Fuhrer, Thirimachos Bourlai. 1929-1936 [doi]
• Reject Inference as a Noisy Label Detection and Counterfactual Correction TaskCharalampos Chelmis, Mahsa Azarshab, Khandker Sadia Rahman, Mehrdad Mirpourian. 1937-1942 [doi]
• Firecast Zigzag Convolutional Network for Wildfire PredictionYuzhou Chen, Joel Chacón Castillo, Huikyo Lee, Yulia R. Gel. 1943-1949 [doi]
• Construction and Application of the SMART Model for Adaptive Industrial Data Collection Based on Knowledge GraphsWendan Cheng, Zhen Zhang, Heng Qian, Qiuyue Wang, Guanqun Su, Lingge Meng. 1950-1955 [doi]
• Prioritizing Potential Wetland Areas via Region-to-Region Knowledge Transfer and Adaptive PropagationYoonhyuk Choi, Reepal Shah, John Sabo, Huan Liu 0001, K. Selçuk Candan. 1956-1963 [doi]
• Global-local Fourier Neural Operator for Accelerating Coronal Magnetic Field ModelYutao Du, Qin Li, Raghav Gnanasambandam, Mengnan Du, Haimin Wang, Bo Shen. 1964-1971 [doi]
• Nuclear Pore Segmentation in 3D FIB-SEM Images with Dynamic Cyclical Data AugmentationChongyu He, Zhiwu Xie, Yinlin Chen, Edward A. Fox. 1972-1977 [doi]
• Educational Digital Twin: Tackling Complexity in Educational Big DataLuwen Huang, Karen E. Willcox. 1978-1985 [doi]
• Multimodal survival prediction using TabTransformer and BioClinicalBERT on MIMIC-IIIBeatrice Insalata, Fabian Schmidt, Vladimir Vlassov. 1986-1992 [doi]
• T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback SystemsRaghu Katikeri, Sai Phaniraja, Sai Pratheek, Rajvi Desai, Amit Vaid, Neelesh K. Shukla, Sandeep Jain. 1993-1998 [doi]
• EVOLVE: Evaluation of Language-to-SQL Validity and Effectiveness - A Detailed Review Framework for Complex Text-to-SQL QueriesRaghu Katikeri, Alok Nook Raj Pepakayala, Lokesh Kuncham, Rachita Barla, Kasula Tarun, Sai Charan, Amit Vaid. 1999-2004 [doi]
• Edge Grading in Trading Cards Using Transfer Learning: Methods, Experiments, and EvaluationLutfun Nahar, Md. Saiful Islam 0003, Mohammad Awrangjeb, Rob Verhoeve. 2005-2012 [doi]
• Improving Multi-Domain Task-Oriented Dialogue System with Offline Reinforcement LearningDharmendra Prajapat, Durga Toshniwal. 2013-2018 [doi]
• Semi-Supervised Multi-Source Sea Ice Classification in Small-Data RegimeSamira Alkaee Taleghan, Morteza Karimzadeh, Andrew P. Barrett, Walter N. Meier, Farnoush Banaei Kashani. 2019-2026 [doi]
• A Data-Driven Approach for Automated Multi-Site Competitive Facility LocationMinghui Tan, Kar Way Tan, Hoong Chuin Lau. 2027-2032 [doi]
• Commercial Space Classification and Prediction with Machine Learning and Multiple Data Sources: A Case Study of MilanJiabin Wei. 2033-2040 [doi]
• SurgBox: Agent-Driven Operating Room Sandbox with Surgery CopilotJinlin Wu, Xusheng Liang, Xuexue Bai, Zhen Chen. 2041-2048 [doi]
• A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of WoodZihao Xu, Peter Nordström, Sina Sheikholeslami, Ahmad Al-Shishtawy, Vladimir Vlassov. 2049-2056 [doi]
• Noise2Inverse for 3D Low-Dose Cone-Beam Computed TomographyAustin Yunker, Jason Luce, John C. Roeske, Rajkumar Kettimuthu, Hyejoo Kang, Sebastien Gros, Alec M. Block. 2057-2064 [doi]
• Uncertainty-Aware Influence Maximization: Enhancing Propagation in Competitive Social Networks with Subjective LogicQi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho. 2065-2071 [doi]
• Machine Learning (ML) Classifier to Assist Metadata CreationHannah Collier, Eric Enright, Sujata Goswami, Chirag Shah, Maggie Davis, Rachael Isphording. 2072-2079 [doi]
• DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming ModelIain J. Cruickshank, Lynnette Hui Xian Ng, Amir Soofi. 2080-2089 [doi]
• Enabling Scalable Mineral Exploration: Self-Supervision and ExplainabilityAngel Daruna, Vasily Zadorozhnyy, Georgina Lukoczki, Han-Pang Chiu. 2090-2099 [doi]
• HLAT: High-quality Large Language Model Pre-trained on AWS TrainiumHaozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang 0003, Jun Huan. 2100-2109 [doi]
• LLM Chain Ensembles for Scalable and Accurate Data AnnotationDavid Farr, Nico Manzonelli, Iain Cruickshank, Kate Starbird, Jevin West. 2110-2118 [doi]
• Experimental Study of In-Context Learning for Text Classification and Its Application to Legal Document Review in Construction Delay DisputesNathaniel Huber-Fliflet, Jianping Zhang 0003, Peter Gronvall, Fusheng Wei, Philip Spinelli. 2119-2125 [doi]
• End-to-End Trip Energy Predictions Developed from Real-World Driving Data using Recurrent Neural NetworksShinhoon Kim, Vishnu Raghupathy, Yongkang Liu, Keisuke Niimi, Takahiro Mochihara. 2126-2135 [doi]
• Active Learning for Practical Misinformation Classification in Social Media: a Case Study on COVID-19Han Kyul Kim, Andy Skumanich. 2136-2141 [doi]
• Optimal Transport for Efficient, Unsupervised Anomaly Detection on Industrial DataAbigail Langbridge, Fearghal O'Donncha, James T. Rayfield, Bradley Eck. 2142-2151 [doi]
• Capturing Infrastructure Interdependencies for Power Outages Prediction During Extreme EventsSangkeun Matthew Lee, Avishek Bose, Narayan Bhusal, Supriya Chinthavali. 2152-2161 [doi]
• Multi-task Recommendation in Marketplace via Knowledge Attentive Graph Convolutional Network with Adaptive Contrastive LearningXiaohan Li 0001, Zezhong Fan, Luyi Ma, Kaushiki Nag, Kannan Achan. 2162-2169 [doi]
• Targeted Detection of Anomalous Merchants on Integrated Payment Platforms via Multifaceted Transaction Representation LearningGuanyu Lu, Xiang Lin, Martin Pavlovski, Xinyu Zhang, Fang Zhou. 2170-2178 [doi]
• ProbSAINT: Probabilistic Tabular Regression for Used Car PricingKiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars Schmidt-Thieme. 2179-2187 [doi]
• WeightedMMoE: Weighted Multi-Gate Mixture-of-Experts for Multi-Source Unsupervised Domain AdaptationSiti Mariyah, Wayne Wobcke. 2188-2196 [doi]
• Monitoring Recombinant Protein Titer in Escherichia Coli Fermentations Using Filtering TechniquesPaul Okafor, Zahed Siddique, Talayeh Razzaghi. 2197-2203 [doi]
• GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item RecommendationsBhavtosh Rath, Pushkar Chennu, David Relyea, Prathyusha Kanmanth Reddy, Amit Pande. 2204-2213 [doi]
• INFA-FinOps for Cloud Data IntegrationAtam Prakash Agrawal, Anant Mittal, Shivangi Srivastava, Michael Brevard, Valentin Moskovich, Mosharaf Chowdhury. 2214-2223 [doi]
• Counter Data Paucity through Adversarial Invariance Encoding: A Case Study on Modeling Battery Thermal RunawayAnika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar. 2224-2233 [doi]
• Data-Prep-Kit: getting your data ready for LLM application developmentDavid Wood, Boris Lublinsky, Alexy Roytman, Shivdeep Singh, Constantin Adam, Abdulhamid Adebayo, Sungeun An, Yuan-Chi Chang, Xuan Hong Dang, Nirmit Desai, Michele Dolfi, Hajar Emami-Gohari, Revital Eres, Takuya Goto, Dhiraj Joshi, Yan Koyfman, Mohammad Nassar, Hima Patel, Paramesvaran Selvam, S. Yousaf Shah, Saptha Surendran, Daiki Tsuzuku, Petros Zerfos, Shahrokh Daijavad. 2234-2243 [doi]
• IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data GenerationLulu Xie, Yancheng Wang, Hong Guan, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang, Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou 0001. 2244-2253 [doi]
• Accurate and Interpretable Radar Quantitative Precipitation Estimation with Symbolic RegressionOlivia Zhang, Brianna Grissom, Julian Pulido, Kenia Munoz-Ordaz, Jonathan He, Mostafa Cham, Haotong Jing, Weikang Qian, Yixin Wen, Jianwu Wang 0001. 2254-2263 [doi]
• SLLIM-Rank: A Multi-Stage Item-to-Item Recommendation Model using Learning-to-RankKamilia Ahmadi, Arjun Gathwala, Jason Osajima, David Hsiao, Puja Das. 2264-2268 [doi]
• An explainable framework based on counterfactual explanations for multi-class financial distress prediction of small and medium enterprisesRenon Ando, Yuji Kawamata, Toshihiko Takeda, Yukihiko Okada. 2269-2274 [doi]
• Detecting Fraud in a Large Anonymized Voter Registration DatasetNahid Anwar, Amit Jain, Edoardo Serra, Chad Houck. 2275-2282 [doi]
• Future Workload and Cloud Resource Usage: Insights from an Interpretable Forecasting ModelAmadou Ba. 2283-2287 [doi]
• Addressing Spend Leakage and Optimization of Cloud CostsUday Chandra Bhookya, Kunal Jethuri, Sanjeeva Rayudu Ravuru, Priyadarshi, Maitreya Natu. 2288-2293 [doi]
• Leveraging Privacy-Enhancing Technology to Better Serve the United States' PublicMakini Chisolm-Straker, Lav R. Varshney. 2294-2296 [doi]
• Enriching Skill Taxonomies through Vector Space ModelsSimone D'Amico, Alessia De Santo, Fabio Mercorio, Mario Mezzanzanica. 2297-2302 [doi]
• Efficient Encodings for Privacy-Preserving Data Storage and TransmissionArghya Kusum Das, M. Oguzhan Külekci, Sharma V. Thankachan. 2303-2306 [doi]
• Harnessing the Power of Graph Neural Networks for Personalized Rail RecommendationsBora Edizel, Sri Haindavi Koppuravuri, Mark Gannaway, Puja Das, Kamilia Ahmadi. 2307-2313 [doi]
• Generating Phishing Attacks and Novel Detection Algorithms in the Era of Large Language ModelsJeffrey Fairbanks, Edoardo Serra. 2314-2319 [doi]
• Data Workbench For Earth and Atmospheric Science Research CommunitySujata Goswami, Kyle Dumas, Wade Darnell, Varsile Tudor Garbulet, Michael Giansiracusa, Giri Prakash. 2320-2325 [doi]
• ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials ScienceMasatoshi Hanai, Ryo Ishikawa, Mitsuaki Kawamura, Masato Ohnishi, Norio Takenaka, Kou Nakamura, Daiju Matsumura, Seiji Fujikawa, Hiroki Sakamoto, Yukinori Ochiai, Tetsuo Okane, Shin-Ichiro Kuroki, Atsuo Yamada, Toyotaro Suzumura, Kenjiro Taura, Yoshio Mita, Naoya Shibata, Yuichi Ikuhara. 2326-2333 [doi]
• Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMsMd. Ahsanul Kabir, Kareem Abdelfatah, Shushan He, Mohammed Korayem, Mohammad Al Hasan. 2334-2339 [doi]
• Empowering Data Mesh with Federated LearningHaoyuan Li, Salman Toor. 2340-2342 [doi]
• Exploring Query Understanding for Amazon Product SearchChen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He 0002. 2343-2348 [doi]
• GPURank: A Cloud GPU Instance Recommendation SystemShravika Mittal, Kanak Mahadik, Ryan A. Rossi, SungChul Kim, Handong Zhao. 2349-2354 [doi]
• Examining the Representation of Youth in the US Policy Documents through the Lens of ResearchMiftahul Jannat Mokarrama, Abdul Rahman Shaikh, Hamed Alhoori. 2355-2359 [doi]
• Practical Experiment of Predicting Cash Flows with LSTM and Double-entry Bookkeeping DataRyoki Motai, Sota Mashiko, Masato Kamebuchi, Sora Watanabe, Ryo Matsumoto, Yukihiko Okada. 2360-2364 [doi]
• Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional EmbeddingsLinsey Pang, Amir Hossein Raffiee, Wei Liu 0007, Keld Lundgaard. 2365-2369 [doi]
• VQ-VGAE: Vector Quantized Variational Graph Auto-Encoder for Unsupervised Anomaly DetectionTarek Seghair, Olfa Besbes, Takoua Abdellatif, Sami Bihiri. 2370-2375 [doi]
• AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMsZhe Wang, Mohammad A. Tayebi. 2376-2383 [doi]
• Vector Quantization with Sorting TransformationHongzhi Wang, Tanveer F. Syeda-Mahmood. 2384-2389 [doi]
• Content-Aware Deep Learning Recommender SystemQixin Wang, Xintao Wu, Kan Yao, Han Li. 2390-2393 [doi]
• Forecasting Migration Patterns and Land Border EncountersRaquib Bin Yousuf, Shengzhe Xu, Patrick Butler, Brian Mayer, Nathan Self, David Mares, Naren Ramakrishnan. 2394-2399 [doi]
• Automating Chapter-Level Classification for Electronic Theses and DissertationsBipasha Banerjee, William A. Ingram, Edward A. Fox. 2400-2409 [doi]
• Exploring Large Language Models for Analyzing Changes in Web Archive Content: A Retrieval-Augmented Generation ApproachJhon G. Botello, Lesley Frew, Jose J. Padilla, Michele C. Weigle. 2410-2418 [doi]
• Model Selection for HERITAGE-AI: Evaluating LLMs for Contextual Data Analysis of Maryland's Domestic Traffic Ads (1824-1864)Rajesh Kumar Gnanasekaran, Lori A. Perine, Mark Conrad, Richard Marciano. 2419-2430 [doi]
• Sifting US Census Records with Computer Vision and Machine LearningGregory N. Jansen. 2431-2439 [doi]
• Training in Computational Archival Science: Do CAS Educational Frameworks meet Professional Expectations?Victoria L. Lemieux, Richard Arias-Hernández. 2440-2448 [doi]
• Ontology-driven knowledge base for digital humanities: Restructuring knowledge organization at the library of the Folkwang University of the ArtsAndrea Linxen, Vera-Maria Schmidt, Harald Klinke, Christian Beecks. 2449-2455 [doi]
• Video Content Summarization with Large Language-Vision ModelsKelley Lynch, Bohan Jiang, Ben Lambright, Kyeongmin Rim, James Pustejovsky. 2456-2463 [doi]
• An Ethical Reflection Aid for Responsible AI in Computational Archival ScienceSara Mannheimer, Jason A. Clark, Scott W. H. Young, Bonnie Sheehey, Natalie Bond, Doralyn Rossmann, Hannah Scates Kettler, Yasmeen Shorish. 2464-2469 [doi]
• Computational Archival Processes & Assessable Sustainability: Challenges and OpportunitiesAurèle Nicolet, Basma Makhlouf Shabou. 2470-2478 [doi]
• Collaborating for Change? Assessing Metadata Inclusivity in Digital Collections with Large Language Models (LLMs)Giulia Osti, Elizabeth Russey Roke. 2479-2488 [doi]
• AI-Ready Data: Knowledge Extraction from Archival Lab NotebooksJoel Pepper, Elizabeth Jones, Xintong Zhao, Jacob Furst 0002, Kyle Langlois, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg. 2489-2495 [doi]
• Historic Black Lives Matter: Recovering Hidden Knowledge in Archives through Interactive Data VisualizationLori A. Perine. 2496-2505 [doi]
• Myanmar Law Cases and Proceedings Retrieval with GraphRAGShoon Lei Phyu, Shuhayel Jaman, Murataly Uchkempirov, Parag Kulkarni. 2506-2513 [doi]
• A Computational Review of the Literature of Computational Archival Science (CAS): Advancing Archival Theory in the Age of the Digital Tsunami and the Vanishing Box ProblemJennifer Proctor, Richard Marciano. 2514-2523 [doi]
• Maturity Assessment of Appraisal Processes in the AI Age: Ongoing Framework and Measuring MethodBasma Makhlouf Shabou. 2524-2532 [doi]
• Can GPT-4 Think Computationally about Digital Archival Tasks? - Part 2William Underwood, Joan Gage. 2533-2542 [doi]
• Can Generative AI Uncover Hidden Patterns in Historical Domestic Traffic Ads Through Data Analysis? A ChatLoS-DTA ExplorationMariia Vetluzhskikh, Rajesh Kumar Gnanasekaran, Richard Marciano. 2543-2548 [doi]
• Beyond Essentials: Nuanced and Diverse Text-to-video RetrievalYuchen Yang. 2549-2557 [doi]
• Next-Generation Phishing: How LLM Agents Empower Cyber AttackersKhalifa Afane, Wenqi Wei, Ying Mao 0001, Junaid Farooq 0001, Juntao Chen. 2558-2567 [doi]
• AI-Driven Genetic Algorithms for Enhanced Numeric Feature Quantization in IoT Device Fingerprinting for Threat DetectionAhmet Aksoy, Sundeep Varma. 2568-2574 [doi]
• Semi-supervised Configuration and Optimization of Anomaly Detection Algorithms on Log DataViktor Beck, Max Landauer, Markus Wurzenberger, Florian Skopik, Andreas Rauber. 2575-2585 [doi]
• No Time to Choose: Leveraging Internet Scans to Determine IoC LifetimesHugo L. J. Bijmans, M. S. C. van Leuken. 2586-2595 [doi]
• Trusted Yet Disguised: Analysing the Subversive Role of LOLBins in Contemporary Cyber ThreatsHrushikesh Chunduri, P. Mohan Anand, Sandeep K. Shukla, P. V. Sai Charan. 2596-2605 [doi]
• DRACO: Production Network Deployment and Evaluation of Deceptive Defense As-a-ServiceMathieu Couillard, Britta Hale. 2606-2615 [doi]
• The Role of Threat Intelligence Sharing Platforms in Companies, Public Authorities, and Universities: Insights from an Exploratory Global SurveyDaniel Fischer 0003, Clemens Sauerwein, Marie Liz Sayin, Dirk Stelzer, Ruth Breu. 2616-2623 [doi]
• Living off the Analyst: Harvesting Features from Yara Rules for Malware DetectionSiddhant Gupta, Fred Lu, Andrew Barlow, Edward Raff, Francis Ferraro, Cynthia Matuszek, Charles Nicholas, James Holt. 2624-2634 [doi]
• Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data ApplicationsAristeidis N. Karras, Leonidas Theodorakopoulos, Christos Karras, Hera Antonopoulou. 2635-2644 [doi]
• Efficient Host Intrusion Detection using Hyperdimensional ComputingYujin Nam, Rachel King, Quinn Burke 0002, Minxuan Zhou, Patrick D. McDaniel, Tajana Rosing. 2645-2652 [doi]
• CIA-EBE: Class Imbalance-Aware Event-Based Embedding for SOC Log ScreeningSamuel Ndichu, Tao Ban, Takeshi Takahashi 0001, Takahiro Kasama. 2653-2662 [doi]
• Applying visual analytics to firearms trafficking trails for the extraction of strategic intelligenceEmmanouil Adamakis, Eirini Sykianaki, George Margetis, Stavroula Ntoa, Constantine Stephanidis. 2663-2671 [doi]
• Adversarial Explanations for Informed Civilian and Environmental ProtectionTheodora Anastasiou, Ioannis Pastellas, Sophia Karagiorgou. 2672-2681 [doi]
• AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial AttacksDimitrios Christos Asimopoulos, Panagiotis I. Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Ioannis D. Moscholios, Jorgen Cani, Georgios Th. Papadopoulos, Evangelos K. Markakis, Panagiotis G. Sarigiannidis. 2682-2689 [doi]
• Enhancing International Security: A Secure Biometric Data Sharing Framework for Effective Cross-Border Crime and Terrorism PreventionGeorgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Dimitrios Drakoulis. 2690-2696 [doi]
• CEASEFIRE: An AI-Powered System for Combating Illicit Firearms TraffickingJorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos. 2697-2705 [doi]
• Extremist discourse on alt-right sub-reddit: An Inferential Network Analysis ApproachRodger Van Der Heijden, Ellen Mans, Tim Jongenelen, Claudia Zucca, Giuseppe Cascavilla. 2706-2713 [doi]
• Multi-agent Simulation for Mass School ShootingsWei Dai 0004, Yash Pratap Singh, Rui Zhang. 2714-2723 [doi]
• Piecewise Computation of Persistent HomologyRohit P. Singh, Nicholas O. Malott, Philip A. Wilsey. 2721-2730 [doi]
• Analyzing Mass School Shootings in the U.S. from 2019 to 2024 with Machine LearningWei Dai, Rui Zhang, Diya Kafle. 2724-2732 [doi]
• Understanding Online Platform Usage of Extremist Groups via Graph AnalyticsTanvir Hossain, Esra Akbas, Anthony E. Lemieux, Virginia Massignan. 2733-2742 [doi]
• Uncovering Illegal Firearm Transactions in Cryptocurrency NetworksAnastasia Kassiani Blitsi, Eleftheria Katsoura, Georgios Stavropoulos, Konstantinos Votis. 2743-2752 [doi]
• Entity Extraction from High-Level Corruption Schemes via Large Language ModelsPanagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis, Iraklis Varlamis, Vasilis Efthymiou, Georgios Th. Papadopoulos. 2753-2761 [doi]
• A Secure and Trustworthy Biometric Data Ecosystem for Cross-border Suspect IdentificationKaterina Kyriakou, Apostolos Apostolaras, Polychronis Velentzas, Georgios Benos, Konstantinos Koutsoukos, Chrysostomos Symvoulidis, Kaitai Liang, Zeshun Shi, Asterios Leonidis, Kyriaki Miniadou, Eleni Veroni, Spyridon Evangelatos, Georgios Th. Papadopoulos, Thanasis Korakis. 2762-2771 [doi]
• Visions of Violence : Threatful Communication in Incel CommunitiesLukas Lundmark, Lisa Kaati, Amendra Shrestha. 2772-2778 [doi]
• Leveraging Large Language Models for Dynamic Scenario Building targeting Enhanced Cyber-threat Detection and Security TrainingCharalampos Marantos, Spyridon Evangelatos, Eleni Veroni, George Lalas, Konstantinos Chasapas, Ioannis T. Christou, Pantelis Lappas. 2779-2788 [doi]
• Vision Paper: Incorporating Domain Knowledge in Information Retrieval Systems to Streamline Incident InvestigationFranck Mignet, Valeriu Daniel Stanciu, Susanne Plank-Konrad. 2789-2793 [doi]
• Encrypted Biometric Search: A Deep Learning Approach to Scalable and Secure Cross-Border Data ExchangeKyriaki Miniadou, Asterios Leonidis, Georgios Th. Papadopoulos, Constantine Stephanidis. 2794-2800 [doi]
• HotelWatch: A Hotel Identification System to Combat Human TraffickingAkanksha Pankaj Joshi, Ira Sharma, Sai Milind Nimkar, Yashvi Sanjaykumar Desai, Mahima Agumbe Suresh. 2801-2810 [doi]
• A Cloud-Based Key Rolling Technique for Alleviating Join Procedure Replay Attacks in LoRaWAN-based Wireless Sensor NetworksDimitra Papatsaroucha, Nikolaos Astyrakakis, Evangelos Pallis, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Evangelos K. Markakis. 2811-2820 [doi]
• Optimizing an LLM Prompt for Accurate Data Extraction from Firearm-Related Listings in Dark Web MarketplacesChaido Porlou, Maria Makrynioti, Anastasios Alexiadis, Georgios Stavropoulos, George Pantelis, Konstantinos Votis, Dimitrios Tzovaras. 2821-2830 [doi]
• Vision Paper: Addressing the Threat of 3D Printing Firearm Files with Data-Driven StrategiesChaido Porlou, Maria Makrynioti, Georgios Stavropoulos, Konstantinos Votis. 2831-2835 [doi]
• Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability AssessmentArtemis Stefanidou, Jorgen Cani, Thomas Papadopoulos, Panagiotis I. Radoglou-Grammatikis, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos. 2836-2845 [doi]
• Benchmarking of Different YOLO Models for CAPTCHAs Detection and ClassificationMikolaj Wysocki, Henryk Gierszal, Piotr Tyczka, George Pantelis, Sophia Karagiorgou. 2846-2854 [doi]
• Demand Modeling for Advanced Air MobilityKamal Acharya 0001, Mehul Lad, Liang Sun, Houbing Song. 2855-2863 [doi]
• Data-Driven Optimization of Taxi Parking Spaces for Strategic Demand AlignmentBekti Widhy Andhana, Irene Erlyn Wina Rachmawan, Prananda Kamaluddin Rafif, Ferrizal Ferrizal. 2864-2869 [doi]
• Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial VehiclesFabian Fingerhut, Elena Tsiporkova, Veselka Boeva. 2870-2879 [doi]
• Smart Corridor+: A Testbed-As-A-Service for Intelligent Transportation ResearchYasir Hassan, Austin Harris 0002, Mina Sartipi. 2880-2887 [doi]
• [Vision Paper] Digital Twin System - From Frameworks to a Comprehensive SystemJuliana Hildebrandt, Dirk Habich, Wolfgang Lehner. 2888-2897 [doi]
• Rethinking Embedding Vectors for Electric Vehicle Charging Stations: An Empirical StudySeyedmehdi Khaleghian, Thanh-Nam Doan, Joe Knox, Mina Sartipi. 2898-2907 [doi]
• Enhancing Forecasting for Advanced Air MobilityMehul Lad, Kamal Acharya 0001, Liang Sun, Houbing Song. 2908-2913 [doi]
• Federated Learning with Knowledge Distillation to Mitigate Catastrophic Forgetting and Data Heterogeneity in IoV SystemsJiayu Wang, Jiechao Gao. 2914-2923 [doi]
• Dynamic Memory Derived Graph learning for Spatio-Temporal Metro Flow PredictionChen Wang, Huawei Wei. 2924-2931 [doi]
• RLEM: Deep Reinforcement Learning Ensemble Method for Aircraft Recovery ProblemDominik Zurek, Marcin Pietron, Szymon Piórkowski, Michal Karwatowski, Kamil Faber. 2932-2938 [doi]
• Leading the Mastodon Herd: Analysing the Traits of Influential Leaders on a Decentralised Social Media PlatformLuke Gassmann, Ryan McConville, Matthew Edwards. 2939-2948 [doi]
• Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion MapsJune Moh Goo. 2949-2957 [doi]
• Discovering Localized Drivers of Unrest Events using Clustering and XGBoostDalton J. Hazelwood, Deepti Joshi, Ashok Samal, Leen-Kiat Soh. 2958-2966 [doi]
• Comparing User Activity on X and MastodonShiori Hironaka, Mitsuo Yoshida 0001, Kazuyuki Shudo. 2967-2972 [doi]
• Public Sentiment on Security CamerasM. Fahad Khalid, Usman Muhammad, R. Saugmann Andersen, Mourad Oussalah 0002. 2973-2982 [doi]
• Revealing Patterns in Artificial Earthquake Misinformation: Detecting Stubborn Conspiracy Adherents through Social Media Analysis in JapanDongwoo Lim, Fujio Toriumi, Mikihito Tanaka. 2983-2988 [doi]
• CoT based Few-Shot Learning of Negative Comments FilteringTakashi Mitadera, Takehito Utsuro. 2989-2998 [doi]
• Emotion Classification of Lyrics through Summarization by Large Language ModelsSho Miyakawa, Takehito Utsuro. 2999-3006 [doi]
• Exploring YouTube's Role in Shaping Political Discourse: A Case Study of the 2024 Tokyo Gubernatorial ElectionHibiki Nakamura. 3007-3016 [doi]
• JSocialFact: a Misinformation dataset from Social Media for Benchmarking LLM SafetyTomoka Nakazato, Masaki Onishi, Hisami Suzuki, Yuya Shibuya. 3017-3025 [doi]
• Polarization Prism: Facilitating Diverse Viewpoint Reflection by Mining Unseen Perspectives in Social Media PolarizationKoki Noda, Tomoki Fukuma, Toshihide Ubukata, Yoshiharu Ichikawa, Kyosuke Kambe, Yu Masubuchi, Fujio Toriumi. 3026-3033 [doi]
• An Analysis of the Relationship between Online Social Capital and Social Media ExperiencesShigenori Ohashi, Noritaka Maeda, Jay Kishigami. 3034-3041 [doi]
• Comparative Evaluation of Network-Based and NLP-based Methods for Detecting Conspiracy Theory Communities on YouTubeKoki Ota, Fujio Toriumi. 3042-3050 [doi]
• Unveiling Real-World Company Hidden Communication Patterns: Comparing Informal Large-Scale Email Network and Formal StructureLeonardo Di Perna, Matteo Bianchi, Matteo Matteucci, Marco Brambilla 0001. 3051-3060 [doi]
• Correcting Systematic Bias in LLM-Generated Dialogues Using Big Five Personality TraitsLorenz Sparrenberg, Tobias Schneider, Tobias Deußer, Markus Koppenborg, Rafet Sifa. 3061-3069 [doi]
• Skepticism and Sentiment Analysis to Understand Consumer Perception of Virtual Influencers in Social Media AdvertisingSmitha Muthya Sudheendra, Maral Abdollahi, Dongyeop Kang, Jisu Huh, Jaideep Srivastava. 3070-3074 [doi]
• Exploring Global Gender Gaps in the Blockchain Domain: Insights from LinkedIn Advertising DataReham Al Tamime, Markus Strohmaier, Ingmar Weber. 3075-3081 [doi]
• Quantifying Collective Emotions: Japan's Societal Trends Through Enhanced Sentiment Index Using POMS2 and SNSKoutarou Tamura, Yukie Sano, Junichi Shiozaki. 3082-3087 [doi]
• Narrative Simplification in Human and AI RetellingYuuri Tanaka, Yasuhiro Hashimoto. 3088-3094 [doi]
• The Bidirectional Relationship between Emotional Change and Physical Movement Activities: An Analysis Using Propensity Score Matching MethodsZeyu Wu, Yuuki Nishiyama, Yuya Shibuya. 3095-3104 [doi]
• Leveraging Race Prediction Algorithms to Enhance Team Composition in Big Data Science TeamsThanathip Chumthong, Kulsawasd Jitkajornwanich, Obada Kraishan, Kerk F. Kee, Akan Narabin. 3105-3113 [doi]
• The Importance of System Engineering Competences and Knowledge for Big Data Science and Research Infrastructure ProjectsYuri Demchenko. 3114-3123 [doi]
• Toward Improved Knowledge Retention: A Template for Describing Data Science ProjectsChristian Haertel, Daniel Staegemann, Matthias Pohl, Christian Daase, Klaus Turowski. 3124-3133 [doi]
• Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project LifecyclesMaike Holtkemper, Christian Beecks. 3134-3142 [doi]
• GenAI Tools to Improve Data Science Project OutcomesAkit Kumar, M. S. Lakshmi Devi, Jeffrey S. Saltz. 3143-3152 [doi]
• Categorization of Data Analytics Projects in Smart ManufacturingMatthias Pohl, Christian Haertel, Daniel Staegemann, Klaus Turowski. 3153-3157 [doi]
• AnVILMEDFORD: Documenting Cloud-Based Analysis Projects Using the MEDFORD Metadata LanguageBenjamin Stubbs, Polina Shpilker, Michael Sayers, Shaun Wallace, Noah M. Daniels, Alva L. Couch. 3158-3162 [doi]
• AI Assisted Workflow for Set-list Preparation with Loops for Live MusiciansSubhrojyoti Roy Chaudhuri. 3163-3167 [doi]
• Decomposing Audio into Timbral Features with Convolutional Neural NetworksNicole Cosme-Clifford. 3168-3173 [doi]
• EME33: A Dataset of Classical Piano Performances Guided by Expressive Markings with Application in Music RenderingTzu-Ching Hung, Jingjing Tang, Kit Armstrong, Yi-Cheng Lin, Yi-Wen Liu. 3174-3180 [doi]
• Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's TreatiseTornike Karchkhadze, Keren Shao, Shlomo Dubnov. 3181-3190 [doi]
• Relationships between Keywords and Strong Beats in Lyrical MusicCallie C. Liao, Duoduo Liao, Ellie L. Zhang. 3191-3199 [doi]
• Ourmuse: Plot-Specific AI Music Generation for Video AdvertisingHyeseong Park, Myung Won Raymond Jung, Sanjarbek Rakhmonov, Sngon Kim. 3200-3203 [doi]
• Musical Scene Detection in Comics: Comparing Perception of Humans and GPT-4Megha Sharma, Muhammad Taimoor Haseeb, Gus Xia, Yoshimasa Tsuruoka. 3204-3207 [doi]
• Synthesising Handwritten Music with GANs: A Comprehensive Evaluation of CycleWGAN, ProGAN, and DCGANElona Shatri, Kalikidhar Reddy Palavala, György Fazekas. 3208-3217 [doi]
• Integrating Machine Learning and Rule-Based Approaches in Symbolic Music GenerationTsubasa Tanaka. 3218-3223 [doi]
• Sparse Sounds: Exploring Low-Dimensionality in Music Generation ModelShu Wang, Shiwei Liu. 3224-3234 [doi]
• Graph Neural Network Guided Music Mashup GenerationXinyang Wu, Andrew Horner. 3235-3241 [doi]
• Diffusion Models for Automatic Music MixingXinyang Wu, Andrew Horner. 3242-3247 [doi]
• MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and LearningAbdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier. 3254-3257 [doi]
• Automated Interpretation of Non-Destructive Evaluation Contour Maps Using Large Language Models for Bridge Condition AssessmentViraj Nishesh Darji, Callie C. Liao, Duoduo Liao. 3258-3263 [doi]
• InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal QueriesSai Surya Gadiraju, Duoduo Liao, Akhila Kudupudi, Santosh Kasula, Charitha Chalasani. 3264-3272 [doi]
• Multimodal Deep Learning for Online Meme ClassificationStephanie Han, Sebastian Leal-Arenas, Eftim Zdravevski, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo. 3273-3276 [doi]
• On the Effectiveness of Text and Image Embeddings in Multimodal Hate Speech DetectionNora Lewis, Charles C. Cavalcante, Zois Boukouvalas, Roberto Corizzo. 3277-3281 [doi]
• Adaptive Signal Analysis for Automated Subsurface Defect Detection Using Impact Echo in Concrete SlabsDeepthi Pavurala, Duoduo Liao, Chaithra Reddy Pasunuru. 3282-3291 [doi]
• A Multimodal Fusion Framework for Bridge Defect Detection with Cross-VerificationRavi Datta Rachuri, Duoduo Liao, Samhita Sarikonda, Datha Vaishnavi Kondur. 3292-3300 [doi]
• Event-Based Multi-Modal Fusion for Online Misinformation Detection in High-Impact EventsJavad Rajabi, Sunday Okechukwu, Ahmad Mousavi, Roberto Corizzo, Charles C. Cavalcante, Zois Boukouvalas. 3301-3308 [doi]
• Random Forest-Supervised Manifold AlignmentJake S. Rhodes, Adam G. Rustad. 3309-3312 [doi]
• Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model ConfidenceNorbert Tihanyi, Tamás Bisztray, Richard A. Dubniczky, Rebeka Tóth, Bertalan Borsos, Bilel Cherif, Ridhi Jain, Lajos Muzsai, Mohamed Amine Ferrag, Ryan Marinelli, Lucas C. Cordeiro, Mérouane Debbah, Vasileios Mavroeidis, Audun Jøsang. 3313-3321 [doi]
• Multimodal Threat Evaluation in Simulated Wargaming EnvironmentsPierre Vanvolsem, Koen Boeckx, Xavier Neyt. 3322-3328 [doi]
• Geospatial Data and Multimodal Fact-Checking for Validating Company DataGabriela Alves Werb, Patrick Felka, Lisa Reichenbach, Susanne Walter, Ece Yalcin-Roder. 3329-3332 [doi]
• Animating the Past: Reconstruct Trilobite via Video GenerationXiaoran Wu, Zien Huang, Chonghan Yu. 3333-3342 [doi]
• Disentangled Prompt Learning for Transferable, Multimodal, Few-Shot Image ClassificationJohn Yang, Alessandro Magnani, Binwei Yang. 3343-3352 [doi]
• Natural Language Querying on NoSQL Databases: Opportunities and Challenges [Vision Paper]Wenlong Zhang, Tian Shi, Ping Wang. 3353-3357 [doi]
• Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) SystemYuan An, Samarth Kolanupaka, Jacob An, Matthew Ma, Unnat Chhatwal, Alex Kalinowski, Michelle Rogers, Brian Smith. 3358-3366 [doi]
• Accelerating Graph Query Languages for Machine Learning and Retrieval Augmented GenerationAlexandria Barghi. 3367-3374 [doi]
• Adaptive Neighborhood Sampling and KAN-Based Edge Features for Enhanced Fraud DetectionSubbareddy Batreddy, Giridhar Pamisetty, Manish Kothuri, Priya Verma, Ch. Sobhan Babu. 3375-3381 [doi]
• MedReg-KG: KnowledgeGraph for Streamlining Medical Device Regulatory ComplianceSubhankar Chattoraj, Karuna Pande Joshi. 3382-3390 [doi]
• Contradictory Ambiguous Revocable Assertion Tracker (CARAT) EncodingJoseph A. Cottam, Patrick Mackey, Sumit Purohit, George Chin. 3391-3400 [doi]
• Leveraging Multi-Agent Systems and Large Language Models for Diabetes Knowledge GraphsDuy H. Ho, Udiptaman Das, Regina Ho, Yugyung Lee. 3401-3410 [doi]
• Knowledge Graph-Based Multi-Agent Path Planning in Dynamic Environments using WAITRTed Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi. 3411-3420 [doi]
• Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and SearchEdward Kim 0006, Manil Shrestha, Richard Foty, Tom DeLay, Vicki Seyfert-Margolis. 3421-3430 [doi]
• Crystalia: Flexible and Efficient Method for Large Dataset Lineage TrackingVladimir Korolev, Anupam Joshi. 3431-3440 [doi]
• Aligning Knowledge Graphs Provided by Humans and Generated by Neural NetworksTangrui Li, Jun Zhou, Hongzheng Wang. 3441-3447 [doi]
• Supply Chain Network Extraction and Entity Classification Leveraging Large Language ModelsTong Liu, Hadi Meidani. 3448-3455 [doi]
• Toward Implementing an Agent-based Distributed Graph Database SystemYuan Ma, Michelle Dea, Lilian Cao, Munehiro Fukuda. 3456-3465 [doi]
• Federated Learning on Knowledge Graph Embeddings via Contrastive AlignmentAntor Mahmud, Renata Dividino. 3466-3474 [doi]
• Semantics-Aware Path Ranking On Information Extracted from Knowledge GraphsZhuocheng Mei, Kara Schatz, Nahed Abu Zaid, Rada Chirkova. 3475-3484 [doi]
• GraphAide: Advanced Graph-Assisted Query and Reasoning SystemSumit Purohit, George Chin, Patrick S. Mackey, Joseph A. Cottam. 3485-3493 [doi]
• Scaling LLM-Based Knowledge Graph Generation: A Case Study of Italian Geopolitical NewsDiego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio, Valerio La Gatta, Marco Postiglione, Vincenzo Moscato. 3494-3497 [doi]
• K-GBS3FCM - KNN Graph-Based Safe Semi-Supervised Fuzzy C-MeansGabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento. 3498-3507 [doi]
• Archigraphs As A Promising Concept For The Development Of Data And Knowledge Storage SystemsArtem A. Sukhobokov, Artem A. Vetoshkin, Alexandra R. Mironova, Anna C. Zenger, Vitaly Baklikov. 3508-3521 [doi]
• INTEGRATE-KG: A Workflow For Unifying Heterogeneous Data Driven by Shared LanguagesNahed Abu Zaid, Kara Schatz, Kimberly Bourne, Darrell Harry, Christine Hendren, Anna-Maria Marshall, Khara Grieger, Jacob Jones, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova. 3522-3531 [doi]
• Scalable SubXPCA with Extended Morphological Profiles Applied to Hyperspectral Image Classification on a Distributed PlatformBogolu Rupa, Atul Negi. 3532-3537 [doi]
• ALF: An Automated Low-code Flexible Framework for Data WorkflowsReet Ghosh, Wamika Jha, Mea Wang, Usman Alim. 3538-3543 [doi]
• Improving Sequential Recommender Systems with Online and In-store User BehaviorLuyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li 0001, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason H. D. Cho, Sushant Kumar, Kannan Achan. 3544-3549 [doi]
• Data Interpretation Driven by Algebra of Time-Dependent OperatorsHuber Nieto-Chaupis. 3550-3555 [doi]
• Optimizing Data Ingestion for Big Data: A Cloud-Based Design Pattern ApproachChiara Rucco, Antonella Longo, Motaz Saad. 3556-3561 [doi]
• FaaS and Furious: abstractions and differential caching for efficient data pre-processingJacopo Tagliabue, Ryan Curtin, Ciro Greco. 3562-3567 [doi]
• Exposing LLM Vulnerabilities: Adversarial Scam Detection and PerformanceChen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu. 3568-3571 [doi]
• The Power of Many: Investigating Defense Mechanisms for Resilient Graph Neural NetworksAbhijeet Dhali, Renata Dividino. 3572-3578 [doi]
• RAGe Against the Machine with BERT for Proactive Cybersecurity PostureBrennan Lodge. 3579-3588 [doi]
• Adversarial Training of Retrieval Augmented Generation to Generate Believable Fake NewsSonali Singh, Akbar Siami Namin. 3589-3598 [doi]
• An Information Reliability Framework for Detecting Misinformation based on Large Language ModelsVenkata Sai Prathyush Turaga, Akbar Siami Namin. 3599-3608 [doi]
• PV-DETR: A Multimodal Fault Detection Model of PV Arrays based on Parallel Block AttentionWanghu Chen, YiHua Luo, Long Li, Jing Li. 3609-3615 [doi]
• PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic SegmentationXiangyu Meng, Tianming Du, Zihao Wang, Shuai Ye, Shuaiyi Tian, Kunyang Teng, Marcin Grzegorzek, Tao Jiang, Hongzan Sun, Chen Li 0022. 3616-3623 [doi]
• Exploring the mechanism of adjustment formula related to Siwu Decoction in the treatment of polycystic ovary syndrome based on network pharmacologyTongxuan Ouyang, Yu Chen, Yan Wang, Ying Xie, Haotian Li, Min Zhao. 3624-3631 [doi]
• An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome MonitoringZihao Wang, Zhengwei Zhai, Tianming Du, Shuai Ye, Tao Jiang, Marcin Grzegorzek, Hongzan Sun, Chen Li. 3632-3639 [doi]
• FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable ConvolutionsJin Yuan, Xiangchen Wu, Changzhong Li, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Chen Li. 3640-3647 [doi]
• Measuring Application Interference With System-Level InstrumentationSoeren Becker 0001, Robin Goegge, Odej Kao. 3648-3653 [doi]
• A Model for Data Processing on Warehouse-Scale ComputersKevin Exton, Maria Read. 3654-3663 [doi]
• Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model BenchmarkingMaurice Günder, Sneha Banerjee, Rafet Sifa, Christian Bauckhage. 3664-3673 [doi]
• Improving I/O-aware Workflow Scheduling via Data Flow Characterization and trade-off AnalysisLuanzheng Guo, Meng Tang, Hyungro Lee, Jesun Firoz, Nathan R. Tallent. 3674-3681 [doi]
• Masked Autoencoders are Parameter-Efficient Federated Continual LearnersYuchen He, Xiangfeng Wang. 3682-3691 [doi]
• FPPL: An Efficient and Non-IID Robust Federated Continual Learning FrameworkYuchen He, Chuyun Shen, Xiangfeng Wang, Bo Jin 0003. 3692-3701 [doi]
• Reasoning Over Streaming System Performance Using Response Surface MethodologyStuart Jamieson, Matthew Forshaw. 3702-3711 [doi]
• A Bloom Filter Hierarchy for Non-key Search in Key-Value StoresWojciech Macyna, Carlos Ordonez 0001. 3712-3719 [doi]
• YOLO based Ocean Eddy Localization with AWS SageMakerSeraj Al Mahmud Mostafa, Jinbo Wang 0002, Benjamin Holt, Jianwu Wang 0001. 3720-3728 [doi]
• Performance of Data Model over Computational Power in CDP PlatformsRahul Mundlamuri, Hassan Siddiqi, Sohail Wadera. 3729-3734 [doi]
• Supporting Opportunistic Data Operations for Data-Intensive Computational ApplicationsMinh Tri Nguyen, Anh Dung Nguyen, Jarno Rantaharju, Touko Puro, Matthias Rheinhardt, Maarit J. Korpi-Lagg, Hong Linh Truong. 3735-3744 [doi]
• The Gather Join: Efficiently Aligning Atmospheric Datasets in Apache SparkOliver Nief, Justus Henneberg, Felix Schuhknecht 0001. 3745-3754 [doi]
• Groundwater Level Prediction: Analyzing the Performance of LSTM and QLSTM ModelAditi Saha, Mohammad Ashiqur Rahman, Fan Wu 0013. 3755-3763 [doi]
• Exploring the Landscape of Distributed Graph Clustering on Leadership SupercomputersNaw Safrin Sattar, Abigail Kapocius, Hao Lu 0001, Mahantesh Halappanavar, Feiyi Wang. 3764-3773 [doi]
• Challenges and Future Directions in Similarity Assessment of Big Data Analytics WorkloadsDominik Scheinert, Alexander Guttenberger, Jonathan Will, Odej Kao. 3774-3779 [doi]
• Comparison of CNN and QCNN Performance in Binary Classification of Breast Cancer Histopathological ImagesTaieba Tasnim, Mohammad Rahman, Fan Wu. 3780-3787 [doi]
• On Energy-aware and Verifiable Benchmarking of Big Data Processing targeting AI PipelinesGeorgios Theodorou, Sophia Karagiorgou, Christos Kotronis. 3788-3798 [doi]
• A Hybrid Approach to Group-By and Aggregation Query ExecutionGaurav Vaghasiya, Shiva Jahangiri. 3799-3808 [doi]
• Interval cracking and its application to databases of complex geometriesMasoumeh Vahedi, Henning Christiansen 0001. 3809-3814 [doi]
• FairLENS: Assessing Fairness in Law Enforcement Speech RecognitionYicheng Wang, Mark Cusick, Mohamed Laila, Kate Puech, Zhengping Ji, Xia Hu, Michael Wilson, Noah Spitzer-Williams, Bryan Wheeler, Yasser Ibrahim. 3815-3824 [doi]
• Experimentally Evaluating the Resource Efficiency of Big Data AutoscalingJonathan Will, Nico Treide, Lauritz Thamsen, Odej Kao. 3825-3830 [doi]
• Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex OptimizationJuyoung Yun. 3831-3837 [doi]
• Coordinating Electric Vehicles: Impacts on Mobility-Service and Electricity MarketsHiroyasu Ando, Nobuhito Kon, Morimitsu Kurino, Isamu Takahara. 3838-3846 [doi]
• vNM Stable Sets and Aumann-Drèze-Shapley Value in Patent Licensing of Cost-Reducing Technologies: Asymptotic Results in General Cournot MarketsToshiyuki Hirai, Naoki Watanabe 0001. 3847-3853 [doi]
• (Vision paper) The effect of cognitive ability on sender behavior in dictator and ultimatum game experimentsTetsuya Kawamura, Kazuhito Ogawa. 3854-3857 [doi]
• Examining the Feasibility of Large Language Models as Survey RespondentsAyato Kitadai, Kazuhito Ogawa, Nariaki Nishino. 3858-3864 [doi]
• Reduction of Traffic Congestion by Using Chaotic Traffic Flow in a Scaled Traffic ModelTakahiro Noguchi, Hiroyasu Ando, Ryunosuke Fukuzaki, Yumi Watahiki, Isamu Takahara. 3865-3870 [doi]
• Indexing Economic Fluctuation Narratives from Keiki Watchers SurveyEriko Shigetsugu, Hiroki Sakaji, Itsuki Noda. 3871-3879 [doi]
• Accounting for Traffic Congestion: Heterogeneous Target Arrival Times, Uncertainty, and Monetary IncentivesYu Takenoya, Ayato Kitadai, Nariaki Nishino. 3880-3888 [doi]
• What Information Hinders or Promotes Subjects' Meaningful Learning in a Bandit Experiment for Weighted Voting?: Mouse Tracking EvidenceNaoki Watanabe 0001. 3889-3897 [doi]
• Leveraging Multimodal Models for Enhanced Neuroimaging Diagnostics in Alzheimer's DiseaseFrancesco Chiumento, Mingming Liu. 3898-3907 [doi]
• Fusing Speech and Language Models for Dementia DetectionTobias Deußer, Abdul Mohsin Siddiqi, Lorenz Sparrenberg, Tobias Adams, Christian Bauckhage, Rafet Sifa. 3908-3914 [doi]
• Strengthening Accuracy of Lung Cancer Diagnosis Through A Novel Multimodal Bayesian Convolutional Neural NetworkSmriti Kumar. 3915-3918 [doi]
• Combining GCN Attention and Frequency Domain Analysis for 3D Human Pose EstimationYue Li, Bo Zhang, Wendong Wang. 3919-3924 [doi]
• A Sample-Mixing Unsupervised Domain Adaptation Framework for Object DetectionTianchi Lin, Bo Zhang, Wendong Wang. 3925-3930 [doi]
• Screening Students for Stress Using Fitbit DataRebecca Lopez, Avantika Shrestha, Kevin Hickey, Xingtong Guo, M. L. Tlachac, Shichao Liu, Elke A. Rundensteiner. 3931-3934 [doi]
• One Model Multiple Insights: CNNs for Medical Image ClassificationA. K. M. Shahariar Azad Rabby, Pratim Saha, Sheikh Abujar, Fuad Rahman 0001. 3935-3941 [doi]
• Slice-Level Label Attention with Global-Guided Attention Regularization for Multi-Label Classification in Knee MRI SequencesJingzhi Yang, Hua Shen, Ziyu Liu, Weilong Wu, Ji Wu, Ming Ni, Huishu Yuan, Xiangling Fu, Miao Li. 3942-3949 [doi]
• A Multi-Scale Collaborative Fusion Network for Joint Organ and Lesion SegmentationMengxue Zhan, Bo Zhang, Zheng Zhang, Wendong Wang, Zhen Cui, Nanfang Xu. 3950-3955 [doi]
• SVP: Enhancing Security and Scalability for Metaverse Blockchain Through Integrating Stake in Voting-based Consensus ProtocolWuyang Li, Hui Li, Qiufan Wu, Han Wang, Weimin Zeng, Yanping Zhang, Xiyu Wang, Ping Lu, Weixiang Huang, Runhuai Huang. 3956-3964 [doi]
• Large Language Models in Data Governance: Multi-source Data Tables MergingLinfeng Li, Hong Chen, Zhijie Qiu, Lei Luo 0004. 3965-3974 [doi]
• Integration of Blockchain Technology in Collaborative Scientific WorkflowsShiyong Lu, Junwen Liu, Yong Zhao 0009, Changxin Bai. 3975-3982 [doi]
• Advanced Deadlock Detection and Resolution in Distributed File Systems Using AI and Daemon ProcessesSushanth S. Manakhari, Ajinkya P. Jadhav, Twinkle Paraye, Anurag Gate. 3983-3991 [doi]
• HL-LSM: A LSM-Tree Combined with Read Hotness and Learned IndexHong Tan, Hui Li, Xiaopeng Wang, Weixiang Huang, Runhuai Huang, Shaowen Deng, Jianping Wu. 3992-3999 [doi]
• Triple-Parity Vertical Array Codes with Optimal Update Bandwidth and Fast Encoding/Decoding PerformanceHaitao Wu, Jingjie Lv, Xian Lian, Hanxu Hou. 4000-4005 [doi]
• A Secure and Privacy-Preserving Framework for Healthcare Data Management Using Deterministic Additive Noise and Differential Privacy in Cloud EnvironmentsYousef Alsaud, Danda B. Rawat. 4006-4012 [doi]
• Big data analytic of US Medicare Claims of healthcare service informatics and billing fraudMaya El-Lanky, Dillon Chrimes. 4013-4022 [doi]
• FPP-Hunter: Expert-Guided Discovery Of Functional Path PatternsDaniel Korn, Jon-Michael Beasley, Kara Schatz, Pei-Yu Hou, Alexander Tropsha, Rada Chirkova. 4023-4032 [doi]
• Privacy-Preserving Big Data Analytics Using Homomorphic Encryption: A Comprehensive Evaluation in Healthcare ApplicationsChandradutt Nareshkumar Patel. 4033-4038 [doi]
• The Soundex Blocking: A Novel Blocking Approach for Record LinkageNidhibahen Shah, Ahmed Soliman 0003, Joyanta Basak, Sartaj Sahni, Kenneth Haase, Anup Mathur, Krista Park, Daniel Weinberg, Jonathan White, Sanguthevar Rajasekaran. 4039-4047 [doi]
• Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrievalAntonela Tommasel, Ira Assent. 4048-4057 [doi]
• More than the Sum of its Parts: Applying Topic Modeling and Explainable AI to Deep Learning in Understanding Problematic Opioid UseTerri Elizabeth Workman, Joel Kupersmith, Ying Yin, Qing Zeng-Treitler. 4058-4067 [doi]
• PCCMerge: a parallel method based on merging partial connected components in large graphsHubert Naacke, Noé Curé, Olivier Curé. 4068-4077 [doi]
• PUSHGNN: A Low-communication Runtime System for GNN Acceleration on Multi-GPUsGuoqing Xiao 0001, Li Xia, Yuedan Chen, Wangdong Yang. 4078-4085 [doi]
• Context-Aware and User Intent-Aware Follow-Up Question Generation (CA-UIA-QG): Mimicking User Behavior in Multi-Turn SettingShujing Dong, Yuan Ling, Shunyan Luo, Shuyi Wang, Yarong Feng, Zongyi Joe Liu, Hongfei Li, Ayush Goyal, Bruce Ferry. 4086-4094 [doi]
• Enhancing User Understanding with Big Data: A Comparative Study of Deep Learning and Statistical Methods for Forecasting Online Page ViewsXiaofei Hu, Le Zheng, Ruomeng Zhang. 4095-4103 [doi]
• A Novel Hybrid Architectures for Overcoming Sparse Data in Subscription Product Recommendation SystemsJinmo Kang, Sanghyeon Lee, Yeonghwan Jeon, Hyuncheol Jo, Byoung-Ki Jeon. 4104-4109 [doi]
• Clustering of Students' Behavior Using the GPT-2 Module Based on the Macroscopic Attention ModelWanghu Chen, Qi Fan, Siqi Zeng, Jing Li. 4110-4118 [doi]
• Automated Synthesis of Distributed Code from Sequential Snippets Using Deep LearningArun Sanjel, Bikram Khanal, Pablo Rivas 0001, Greg Speegle. 4119-4126 [doi]
• Assessing Membership Inference Attacks under Distribution ShiftsYichuan Shi, Olivera Kotevska, Viktor Reshniak, Amir Sadovnik. 4127-4131 [doi]
• Privacy Preserving Federated Learning for Advanced Scientific EcosystemsRick Archibald, Addi Malviya-Thakur, Marshall T. McDonnell, Gregory Cage, Cody Stiner, Lance Drane, M. Paul Laiu, Michael J. Brim, Mathieu Doucet, William T. Heller, Ryan Coffee. 4132-4138 [doi]
• SLWM: A Library for Implementing Complex Training Workflows for surrogates of MPC'sStijn Bellis, Joachim Denil, Ramesh Krishnamurthy, Guillermo A. Pérez 0001. 4139-4144 [doi]
• Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave DetectorsRutuja Gurav, Isaac Kelly, Pooyan Goodarzi, Anamaria Effler, Barry Barish, Evangelos E. Papalexakis, Jonathan W. Richardson. 4145-4152 [doi]
• Discovering Propagating Signals in High-Content Multivariate Time Series via Spatio-Temporal Subsequence ClusteringJan David Hüwel, Georg Stefan Schlake, Kevin Albrechts, Christian Beecks. 4153-4161 [doi]
• A Generalized Outage Prediction Model for Various Types of Extreme Climate Events in TexasJangjae Lee, Sangkeun Matthew Lee, Stephanie German Paal, Supriya Chinthavali. 4162-4166 [doi]
• DISTRI: Development and Integration of Simulation Tools for Resilient InfrastructureImtiaz Mahmud, Pawel Zuk, Cong Wang 0014, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman. 4167-4177 [doi]
• Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing DetectionAmirhossein Nazeri, Denys W. Godwin, Aikaterini Maria Panteleaki, Iraklis Anagnostopoulos, Michael I. Edidem, Ruopu Li, Tong Shu. 4178-4187 [doi]
• A Framework for Compressing Unstructured Scientific Data via SerializationViktor Reshniak, Qian Gong, Rick Archibald, Scott Klasky, Norbert Podhorszki. 4188-4193 [doi]
• AAD-LLM: Adaptive Anomaly Detection Using Large Language ModelsAlicia Russell-Gilbert, Alexander Sommers, Andrew Thompson 0017, Logan Cummins, Sudip Mittal, Shahram Rahimi 0001, Maria Seale, Joseph Jaboure, Thomas Arnold, Joshua Church. 4194-4203 [doi]
• Toward Smart Scheduling in TapisJoe Stubbs, Smruti Padhy, Richard Cardone. 4204-4209 [doi]
• LOCOS: A cosine based local gene expression pattern finding algorithm on time-series dataYoujeong Suk, Jaemin Jeon, Inuk Jung. 4210-4239 [doi]
• Multivariate Data Augmentation for Predictive Maintenance using DiffusionAndrew Thompson 0017, Alexander Sommers, Alicia Russell-Gilbert, Logan Cummins, Sudip Mittal, Shahram Rahimi 0001, Maria Seale, Joseph Jaboure, Thomas Arnold, Joshua Church. 4240-4247 [doi]
• A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith BeneficiationKalpit M. Vadnerkar, Emmanuela Amen Eze, Rinoj Gautam, Daoru Han, Xin Liang 0001, Tong Shu. 4248-4256 [doi]
• Tuning the Interpolation Basis in a Multigrid Decomposition for Local Error ControlNicolas Vidal 0003, Qian Gong, Viktor Reshniak, Rick Archibald, Scott Klasky. 4257-4264 [doi]
• A Decision Support System to Compile Environmental Mitigations from Hydropower Licensing DocumentsHong-Jun Yoon, Tom Ruggles, Huanhuan Zhao, Debjani Singh. 4265-4268 [doi]
• Modeling Lunar Surface Charging Using Physics-Informed Neural NetworksNiloofar Zendehdel, Adib Mosharrof, Katherine Delgado, Daoru Han, Xin Liang 0001, Tong Shu. 4269-4274 [doi]
• Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine LearningWeijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu. 4275-4282 [doi]
• GNN-ARG: A Graph Neural Network-based Framework for Predicting Antibiotic Resistance GenesMohd Manzar Abbas, Amit Ranjan, Supratik Mukhopadhyay, Aixin Hou. 4283-4291 [doi]
• Toward Global Multimodal High-Resolution Land Surface Temperature Forecasting and NowcastingRyan Brown, Andrea Domiter, Puya Vahabi. 4292-4301 [doi]
• Placement of Swarm UAV for Data Collection: A Deep Reinforcement Learning ApproachAswini Ghosh, Nelson Sharma, Rajiv Misra. 4302-4308 [doi]
• MEC- Assisted Task offloading using Meta-Reinforcement Learning for B5G/6G NetworkPriyadarshni, Praveen Kumar, Shivani Tripathi, Akshun Pratap Dubey, Rajiv Misra. 4309-4314 [doi]
• Early Wildfire Detection Using One Class LearningWen Le Hong, Xinghui Zhao. 4315-4319 [doi]
• Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning TechnologiesVaneet Kour, Sudhir Kumar, Rajiv Misra, T. N. Singh. 4320-4326 [doi]
• A Novel Hybrid CNN-Transformer Framework for Spatiotemporal Prediction of O3Sudhir Kumar, Vaneet Kour, Nimisha Jain, Rajiv Misra. 4327-4333 [doi]
• Statistical Modeling of Air Pollutants for Predicting AQI LevelsSudhir Kumar, Sourabh Mehra, Harsh Jha, Vaneet Kour, Rajiv Misra. 4334-4341 [doi]
• Forecast of Wildfire Potential Across California USA Using a TransformerRussell Limber, William W. Hargrove, Forrest M. Hoffman, Jitendra Kumar 0001. 4342-4350 [doi]
• Enhancing Photosynthesis Simulation Performance in ESMs with Machine Learning-Assisted SolversElias C. Massoud, Nathan Collier, Bharat Sharma, Jitendra Kumar 0001, Forrest M. Hoffman. 4351-4356 [doi]
• Assessment of Quantum ML Applicability for Climate Actions: Comparison of the Variational Quantum Classifier and the Quantum Support Vector Classifier with Classical ML ModelsThilanka Munasinghe, Phung Lai, Jennifer Wei, James Hendler, Kimberly A. Cornell. 4357-4366 [doi]
• Knowledge Distillation in Mixture of Experts for Multi-Modal Medical LLMsMohit Nathani, Rajat Soni, Rajiv Mishra. 4367-4373 [doi]
• Hybrid Ensemble Deep Graph Temporal Clustering for Spatiotemporal DataFrancis Ndikum Nji, Omar Faruque, Mostafa Cham, Janeja Vandana, Jianwu Wang 0001. 4374-4383 [doi]
• Building Multi-Agent Copilot towards Autonomous Agricultural Data Management and AnalysisYu Pan 0007, Jianxin Sun 0001, Hongfeng Yu 0001, Joe Luck, Geng Bai, Nipuna Chamara, Yufeng Ge, Tala Awada. 4384-4393 [doi]
• Natural Language Processing for Extracting Rich Disease Data Aligned To Satellite Meteorological DataMahi Pasarkar, Junseob Kim, Eoin O'Gara, Alan Zhang, Malik Magdon-Ismail, Thilanka Munasinghe, Jiaqi Weng, David Qiu, Ethan Cruz, Jennifer C. Wei, Ashan Pathirana. 4394-4401 [doi]
• Enabling Provenance Tracking in Workflow Management SystemsLudovica Sacco, Carolina Sopranzetti, Sandro Fiore. 4402-4409 [doi]
• Comprehensive Evaluation of Deep LTSF Models for Forecasting of Air Quality IndexRajat Soni, Mohit Nathani, Rajiv Mishra. 4410-4419 [doi]
• Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing NetworksShivani Tripathi, Praveen Kumar, Mailram Sai Chaitanya, Nagireddy Sai Tarun Teja, Rajiv Misra, T. N. Singh. 4420-4428 [doi]
• Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced TrackersAnil Verma 0003, Sumit Kumar Singh, Rupesh Kumar Sah, Rajiv Misra, T. N. Singh. 4429-4437 [doi]
• Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural NetworksAnil Verma 0003, Lalit Chandra Routhu, Rishikant Chigrupaatii, Anurag Choubey, Rajiv Misra, T. N. Singh. 4438-4447 [doi]
• Graph Representation Learning for Dengue ForecastingJiaqi Weng, David Qiu, Ethan Cruz, Malik Magdon-Ismail, Thilanka Munasinghe, Jennifer. C. Wei, Ashan Pathirana, Mahi Pasarkar. 4448-4456 [doi]
• Data-Driven Analysis of Climate Change Impacts on Public Health: A Systematic Review and Future DirectionsSahar Yarmohammadtoosky, Ying Xie. 4457-4465 [doi]
• From Spatial to Frequency Domain: Defending Medical Image Classification Against Steganography-Based Adversarial AttacksFarah Aladwan, Raj Mani Shukla, Hossein Abroshan, Shareeful Islam, Ronak Al-Haddad. 4466-4473 [doi]
• Semi-supervised Learning to Defer Algorithm for Lung Disease DiagnosisHaoqing Chen, Bo Jin 0003, Xiangfeng Wang. 4474-4481 [doi]
• Uncovering Alzheimer's Disease Biomarkers through Motif-Based Analysis of Synthetic Functional Brain NetworksCarmela Comito, Annalisa Socievole. 4482-4489 [doi]
• Improving Medical Imaging Model Calibration through Probabilistic EmbeddingBonian Han, Yuktha Priya Masupalli, Xin Xing 0002, Gongbo Liang. 4490-4496 [doi]
• Abdominal Trauma Detection using Hybrid Quantum Machine LearningMd Majedul Islam, Jing Selena He. 4497-4506 [doi]
• Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological ImagesMarco Usai, Andrea Loddo, Lorenzo Putzu, Cecilia Di Ruberto. 4507-4516 [doi]
• Evaluating Lossy and Lossless Compression for DICOM Medical FilesYizhe Yang, Carson D. Sisk, Jon C. Calhoun. 4517-4523 [doi]
• Hex2Sign: Automatic IDS Signature Generation from Hexadecimal Data using LLMsPrasasthy Balasubramanian, Tarek Ali, Mohammad Salmani, Danial Khosh Kholgh, Panos Kostakos 0001. 4524-4532 [doi]
• Online Signature Processing for Biometric User Authentication and IdentificationMohamed Alae-Eddine Eladlani, Larbi Boubchir, Khadidja Benallou. 4533-4539 [doi]
• Deepfake Detection with Wavelet-Integrated Convolutional NetworksSupriyo Sadhya, Xiaojun Qi. 4540-4547 [doi]
• An Efficient Modeling Approach for Nurse Rostering Problem: Use CaseWalid Abdelaidoum, Mohamed A. Madani, Larbi Boubchir, Boubaker Daachi. 4548-4553 [doi]
• Personalized Federated Learning for Gastric Cancer: Adaptive Inference from Large Heterogeneous Piecewise Electronic Health Record Based Biomedical DataHengrui Hu, Anai N. Kothari, Anjishnu Banerjee. 4554-4563 [doi]
• Harnessing the Power of Vocal Signals in COVID-19 Detection Utilizing Machine LearningAleesa Mann, Ajinkya P. Jadhav, Richard Matovu, Vibhuti Gupta. 4564-4570 [doi]
• 1Krishnamoorthy Manohara, Slava Jankin, Jean Bousquet, Paulina Garcia Corral, Jorge Roa, Hannah Béchara, Bernardo Sousa-Pinto. 4571-4578 [doi]
• EHRGPT: Leveraging language models for generating synthetic health recordsGiridhar Pamisetty, Subbareddy Batreddy, Priya Verma, Ch. Sobhan Babu. 4579-4587 [doi]
• Comparative Evaluation of Causal Discovery and Inference Approaches on Arctic Sea Ice Time Series DataOmar Faruque, Xingyan Li, Md. Azim Khan, Homayra Alam, Jianwu Wang 0001. 4588-4597 [doi]
• A LSTM with Dual-stage Attention Method to Predict Amine Emissions for Carbon Dioxide Capture and StorageSai Rajesh Rapelli, Zhiyuan Chen, Wei Lu. 4598-4604 [doi]
• ERATTA: Extreme RAG for enterprise-Table To Answers with Large Language ModelsSohini Roychowdhury, Marko Krema, Anvar Mahammad, Brian Moore, Arijit Mukherjee, Punit Prakashchandra. 4605-4610 [doi]
• Energy Infrastructure Risk Modeling using Quantum and Classical Machine LearningNeelanga Thelasingha, Thilanka Munasinghe. 4611-4620 [doi]
• Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual ExplanationsPegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan. 4621-4626 [doi]
• Examining Trustworthiness of LLM-as-a-Judge Systems in a Clinical Trial Design BenchmarkCorey Curran, Nafis Neehal, Keerthiram Murugesan, Kristin P. Bennett. 4627-4631 [doi]
• Predictive Modeling for Early Alzheimer's Disease Using Natural Language ProcessingAzra Emekci. 4632-4636 [doi]
• Evaluating Fairness of Mask R-CNN for Kidney Infection Detection based on Renal ScintigraphyJiayi Wang, Mingyan Wu, Yuhang Guo, Ha Wu, Zhiyu Wan. 4637-4642 [doi]
• Effective Net Load Forecasting in Solar-Integrated Homes with Battery SystemsStefano Cabiddu, Manuela Sanguinetti, Alessandro De Falco, Giulia Manca, Maurizio Atzori. 4643-4649 [doi]
• PRECEDE: Climate and Energy Forecasts to Support Energy Communities with Deep Learning ModelsFrancesco Dattola, Pasquale Iaquinta, Miriam Iusi, Deborah Federico, Raffaele Greco, Marco Talerico, Valentina Coscarella, Luca Legato, Ivana Pellegrino, Sonia Bergamaschi, Mirko Orsini, Riccardo Martoglia, Andrea Livaldi, Abeer Jelali, Simone Sbreglia, Tommaso Ruga, Ester Zumpano, Luciano Caroprese, Camilla Lops, Sergio Montelpare, Mariano Pierantozzi, Maira Aracne. 4650-4658 [doi]
• On the use of Machine Learning to Discover Novel Donor-Acceptor Pairs For Organic Photovoltaic DevicesKhoukha Khoussa, Patrick Leveque, Larbi Boubchir. 4659-4662 [doi]
• Comparing Artificial Intelligence Techniques for Predicting Energy Consumption and Renewable Energy ProductionBehzad Pirouz, Francesca Guerriero. 4663-4672 [doi]
• Development of a Machine Learning Algorithm to Forecast PV Plant ProductionGiovanni Brusco, Daniele Menniti, Giovanni Schinelli, Nicola Sorrentino. 4673-4678 [doi]
• A study on phenotype prediction using an artificial intelligence-based data augmentation approachJiho Choi, Sung Woo Byun, Najeong Chae, Ji-Hoon Lim, Taehoon Lim, Hye-in Lee, Hwa Seon Shin. 4679-4684 [doi]
• An AI-Driven Architecture for Precision Agriculture: IoT, Machine Learning, and Digital Twin Integration for Sustainable Crop ProtectionGianni Costa, Agostino Forestiero, Antonio Francesco Gentile, Davide Macrì, Riccardo Ortale, Bruno Bernardi, Emanuele Cerruto. 4685-4691 [doi]
• Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine LearningMaurice Günder, Facundo Ramón Ispizua Yamati, Anne-Katrin Mahlein, Christian Bauckhage. 4692-4701 [doi]
• Boosting Agricultural Diagnostics: Cassava Disease Detection with Transfer Learning and Explainable AIDanilo Maurmo, Marco Gagliardi, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo. 4702-4710 [doi]
• Forest fire prevention: Application of mathematical models for the realization of an IoT based monitoring systemCarmelo Scuro, Giuseppe Alì, Pierpaolo Antonio Fusaro, Salvatore Nisticò. 4711-4719 [doi]
• AI Image-based Systems for Enhancing the Cultural Tourism ExperienceFiorella Folino, Maria Francesca Foresta, Danilo Maurmo, Tommaso Ruga, Ester Zumpano, Eugenio Vocaturo. 4720-4726 [doi]
• Foundation Models for Big Data: Enabling AI-Powered Data Insights to Accelerate Business Outcomes and Achieve Sustainable SuccessKranthi Godavarthi, Jayanna Hallur, Sujan Das. 4727-4736 [doi]
• A Comparative Study of Large Language Models for Named Entity Recognition in the Legal DomainTobias Deußer, Cong Zhao, Lorenz Sparrenberg, Daniel Uedelhoven, Armin Berger, Maren Pielka, Lars Hillebrand, Christian Bauckhage, Rafet Sifa. 4737-4742 [doi]
• Comparative Analysis of LLM-Generated Event Timeline Summarization for Legal InvestigationsQiang Mao, Adam Dabrowski, Fusheng Wei, Eric Olson, Robert Neary, Jingchao Yang, Han Qin, Nathaniel Huber-Fliflet. 4743-4750 [doi]
• EuropeanLawAdvisor: an open source search engine for European lawsRaffaele Russo, Diego Russo, Gian Marco Orlando, Antonio Romano, Giuseppe Riccio, Valerio La Gatta, Marco Postiglione, Vincenzo Moscato. 4751-4756 [doi]
• Juris-Informatics: Law for AI and Law of AIKen Satoh, Hideaki Takeda 0001, Randy Goebel, Yoshinobu Kano, Mi-Young Kim, Juliano Rabelo 0001, Masaharu Yoshioka. 4757-4762 [doi]
• Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay DisputesFusheng Wei, Robert Neary, Han Qin, Qiang Mao, Jianping Zhang 0001. 4763-4767 [doi]
• Empirical Evaluation of Ensemble and Single Model Approaches for Multilingual Predictive CodingJingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet, Fusheng Wei, Qiang Mao. 4768-4772 [doi]
• A Hybrid Approach for Privilege Document Review: Rule-Based and Machine LearningJingchao Yang, Adam Dabrowski, Robert Neary, Nathaniel Huber-Fliflet. 4773-4778 [doi]
• Beyond the Bar: Generative AI as a Transformative Component in Legal Document ReviewEugene Yang, Roshanak Omrani, Evan Curtin, Tara Emory, Lenora Gray, Jeremy Pickens, Nathan Reff, Cristin Traylor, Sean Underwood, David D. Lewis, Aron J. Ahmadia. 4779-4788 [doi]
• CBCMS: A Compliance Management System for Cross-Border Data TransferZhixian Zhuang, Xiaodong Lee, Jiuqi Wei, Yufan Fu, Aiyao Zhang. 4789-4798 [doi]
• Leveraging Large Language Models for Institutional Portfolio Management: Persona-Based EnsemblesYoshia Abe, Shuhei Matsuo, Ryoma Kondo, Ryohei Hisano. 4799-4808 [doi]
• Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider TradingAnoop Adusumilli, Sheikh Rabiul Islam, Iman Dehzangi, June Kim. 4809-4818 [doi]
• CUBAN: Leveraging Semantic Comparables to Predict Financial Metrics Using Textual Descriptions of CompaniesSiwoo Bae, David Hyde. 4819-4827 [doi]
• Factual Accuracy Checking by Validating Numerical Data in Financial SummariesAnup Bera, Aditya Goel. 4828-4835 [doi]
• Time Series Based Optimized Recommendation of Promotional RewardsIshani Chakraborty. 4836-4845 [doi]
• Stock Price Prediction Using LLM-Based Sentiment AnalysisQizhao Chen, Hiroaki Kawashima. 4846-4853 [doi]
• Enhancing Trust and Safety in Digital Payments: An LLM-Powered ApproachDevendra Dahiphale, Naveen Madiraju, Justin Lin, Rutvik Karve, Monu Agrawal, Anant Modwal, Ramanan Balakrishnan, Shanay Shah, Govind Kaushal, Priya Mandawat, Prakash Hariramani, Arif Merchant. 4854-4863 [doi]
• Leveraging Large Language Models for Few-Shot KPI Extraction from Financial ReportsTobias Deußer, Cong Zhao, Daniel Uedelhoven, Lorenz Sparrenberg, Lars Hillebrand, Christian Bauckhage, Rafet Sifa. 4864-4868 [doi]
• An Evaluation of Large Language Models in Financial Sentiment AnalysisAlphaeus Dmonte, Eunmi Ko, Marcos Zampieri. 4869-4874 [doi]
• Combining Financial Data and News Articles for Stock Price Movement Prediction Using Large Language ModelsAli Elahi, Fatemeh Taghvaei. 4875-4883 [doi]
• Robot See, Robot Do: Imitation Reward for Noisy Financial EnvironmentsSven Goluza, Tomislav Kovacevic, Stjepan Begusic, Zvonko Kostanjcar. 4884-4891 [doi]
• Large Language Models for Financial Aid in Financial Time-series ForecastingMd. Khairul Islam, Ayush Karmacharya, Timothy Joowon Sue, Judy Fox. 4892-4895 [doi]
• A Multi-Modal Transformer Architecture Combining Sentiment Dynamics, Temporal Market Data, and Macroeconomic Indicators for Sturdy Stock Return ForecastingAbhishek Joshi, Jahnavi Krishna Koda, Alihan Hadimlioglu. 4896-4902 [doi]
• FANAL - Financial Activity News Alerting Language Modeling FrameworkUrjitkumar Patel, Fang-Chun Yeh, Chinmay Gondhalekar, Hari Nalluri. 4903-4912 [doi]
• Opportunities and Challenges of Generative-AI in FinanceAkshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Ganesh Satish Mallya, Nithya Kota, Pranjul Yadav. 4913-4920 [doi]
• Ensuring Security Continuum from Edge to Cloud : Adaptive Security for IoT-based Critical Infrastructures using FL at the EdgeIsmail Ari, Kerem Balkan, Sandeep Pirbhulal, Habtamu Abie. 4921-4929 [doi]
• A Parallel and Asynchronous Approach for Anomaly DetectionZineb Ziani, Nahid Emad, Miwako Tsuji, Mitsuhisa Sato, Ahmed Bouaziz. 4930-4938 [doi]
• Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface InteractionsSita Sirisha Madugula, Blythe Dumerer, Ruben Millan-Solsona, Checa Nualart Marti, Liam Collins, Rama K. Vasudevan, Retterer Scott, Lance Zhang, Spencer Cox, Jennifer Lynn Morrell-Falvey. 4939-4940 [doi]
• Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG dataParas Parani, Umair Mohammad, Fahad Saeed. 4941-4945 [doi]
• A Novel Pipeline for Virus Integration Sites Detection in Tumor Genomes Using Deep LearningLorrayya Williams, Vibhuti Gupta. 4946-4951 [doi]
• Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Single-cell Omics DataSeth Wolfgang, Skyler Ruiter, Marc A. Tunnell, Timothy Triche Jr., Erin Carrier, Zachary J. DeBruine. 4952-4958 [doi]
• A Cloud-Native Approach to Hospital Price Transparency: Leveraging AWS for Scalable Data Processing and PresentationAbdikani Ahmed, Catherine P. Jayapandian. 4959-4968 [doi]
• Training Variational Autoencoders for Population Synthesis in Public Health with Missing DataNathan Blackthorn, Andrew Arash Mahyari, Ashok Srinivasan. 4969-4973 [doi]
• Leveraging Machine Learning, Transformers, and Large-Scale Chemical Data to Predict TGF-β1 Inhibitors for Cardiac Fibrosis TreatmentAiden Chavda. 4974-4980 [doi]
• Interactive Visualization of BioMedical DataMohammad Shafiqul Islam, Rahat Ibn Rafiq, Günter Tusch. 4981-4988 [doi]
• Bias and Generalizability Challenges in Machine Learning Models for LeptospirosisArya Jadhav, Suhila Sawesi, Bushra Rashrash. 4989-4995 [doi]
• Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and CaregiversCharles B. Ziegenbein, Bengie L. Ortiz, Vibhuti Gupta, Sung-Won Choi. 4996-5005 [doi]
• Identifying Probable Neurological Disorders with Explainable Machine Learning TechniquesNeha Khatriya, Tianjie Chen, Md Faisal Kabir 0001, Timothy Brearly. 5006-5013 [doi]
• Using speech characteristics from children's story narratives to detect autistic tendencies through deep learning methodsYen Yu Lai, Arbee L. P. Chen. 5014-5023 [doi]
• Geographical Insights into Suicide Mortality Through Spatial Machine LearningViswadeep Lebakula, Swapna S. Gokhale, Anuj J. Kapadia, Jodie Trafton, Alina Peluso. 5024-5032 [doi]
• Evaluating and Reducing Subgroup Disparity in AI Models Predicting Pediatric COVID-19 Test OutcomesAlexander Libin, Jonah Treitler, Tadas Vasaitis, YiJun Shao. 5033-5042 [doi]
• GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot StudyGiuliano Lorenzoni, Pedro Elkind Velmovitsky, Paulo S. C. Alencar, Donald D. Cowan. 5043-5049 [doi]
• ClinicSum: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor ConversationsSubash Neupane, Himanshu Tripathi, Shaswata Mitra, Sean Bozorgzad, Sudip Mittal 0001, Shahram Rahimi, Amin Amirlatifi. 5050-5059 [doi]
• Explainable RNN Classification of Right Ventricular Dysfunction from Echocardiogram ReportsArun Rajaratanam, Roberto Corizzo, Zois Boukouvalas. 5060-5067 [doi]
• Explainable Vertical Federated Learning for Healthcare: Ensuring Privacy and Optimal AccuracyShahnewaz Karim Sakib, Anindya Bijoy Das. 5068-5077 [doi]
• Deep Learning Models for Diabetic Retinopathy Detection: A Comparative StudyMunmi Thakuria, Yong Zhuang. 5078-5081 [doi]
• Automatic sleep stage classification for sleep apnea patients using an in-home sleep electroencephalography deviceSaki Tsumoto, Jaehoon Seol, Kazumasa Horie, Fusae Kawana, Morie Tominaga, Shigeru Chiba, Hideaki Kondo, Hiroyuki Yoshimine, Masaki Matsubara, Atsuyuki Morishima, Masashi Yanagisawa, Hiroyuki Kitagawa. 5082-5085 [doi]
• Tackling No-show Imbalance problems for Healthcare Appointment datasetsXiaoguang Wang, Xuan Liu. 5086-8095 [doi]
• MPLite: Multi-Aspect Pretraining for Mining Clinical Health RecordsEric Yang, Pengfei Hu, Xiaoxue Han, Yue Ning 0001. 5096-5102 [doi]
• Magnol.Ai - an Internet of Medical Things (IoMT) Platform for Digital Health ResearchHui Zhang, Guangchen Ruan, Roland Hartich, Neel Patel, Ming Zhong, Andrew Kaczorek, Leah Miller, Regan Giesting, Wentao Li, Bo Zhang, Hui Xiao, Reagan Porter, Brian E. Winger, Jian Yang. 5103-5112 [doi]
• Multi-Scale Demographic Analysis of Covid-19 Booster Vaccination Rates Using Graph Neural NetworksHossein Naderi, Ziba Abbasian, Yxia Huang, Taoran Ji. 5113-5119 [doi]
• COVID-19 Mobility Restrictions and Post-Pandemic Work from HomeColin Berry. 5120-5124 [doi]
• From Viewing to Purchasing: the Moderating Effects of Lucky Draw in Live-Streaming CommerceXing-yu Chen, Muran Yu, Shang Gao, Ying Liu, Wei Shang. 5125-5129 [doi]
• Using Patent Data and Language Models to Analyze Company Advantages and Reduce Attorney WorkloadYun-Yun Jhuang, Shun-Wen Hsiao. 5130-5137 [doi]
• Identifying Optimal Window Size Configurations for Big Data Time Series ForecastingDavid L. John, Sebastian Binnewies, Bela Stantic. 5138-5146 [doi]
• The Optimal Pricing Models: Dynamic Pricing Personalization based on Machine LearningKazuhiro Miyatsu. 5147-5153 [doi]
• Zero-shot Demand Forecasting for Products with Limited Sales PeriodsShota Nagai, Ryota Inaba, Rei Oishi, Shuhei Aikawa, Yusuke Mibuchi, Hinata Moriyama, Ken Kobayashi, Kazuhide Nakata. 5154-5160 [doi]
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• Multivariate Wind Speed Forecasting based on Improved TDformerAoran Xu, Xiaoyan Gu, Xingfen Wang, Wei Shang. 5169-5175 [doi]
• Optimization-Based Grid Energy Management System with BESS and EV Charging Load for Peak ShavingShreyas Kulkarni, K. R. Sheetal Kumar, Akhash Vellandurai, Vinoth-Kumar. 5176-5183 [doi]
• Context-aware Data Sampling with Reciprocal Nearest Neighbors for Fraud ClassificationSharath Kumar, Manikandan Ravikiran, Nestor Mariyasagayam. 5184-5191 [doi]
• DKT: A First Look at Dynamic Kernel Tuning for Pedestrian Attribute RecognitionRahul Mishra, Manikandan Ravikiran, Soumen Biswas, Ananth Ganesh. 5192-5200 [doi]
• Optimizing Energy Consumed by Analytics in the CloudCarlos Ordonez 0001, Wojciech Macyna. 5201-5210 [doi]
• Adaptive Ensemble Imputation for Trip Data using Deep Reinforcement Learning (AEI-DRL)Ankit Sharma, Akhash Vellandurai, Thiruvengadam Samon, Vinoth-Kumar, Manikandan Ravikiran. 5211-5219 [doi]
• Modular Deep Reinforcement Learning: Enhancing Flexibility through Agent SplittingChong Tian, Danda B. Rawat. 5220-5224 [doi]
• Optimizing Imputation Accuracy With DRL-Based Sensor-less SchedulingAkhash Vellandurai, Ankit Sharma, Thiruvengadam Samon, Vinoth-Kumar, Kingshuk Banerjee. 5225-5232 [doi]
• Assessing Predictive Models for Energy Consumption Across Varied Software EnvironmentsTong Zhang, Sarwat Islam Dipanzan, Leila Tahmooresnejad, Naser Ezzati Jivan. 5233-5242 [doi]
• Understanding the Evolution in Tourist Behavior Patterns through Context-Aware Spatio-Temporal k-MeansAlberto Belussi, Anna Dalla Vecchia, Mauro Gambini, Sara Migliorini, Elisa Quintarelli. 5243-5252 [doi]
• Decoding Narratives: Towards a Classification Analysis for Stereotypical Patterns in Italian News HeadlinesMatteo Berta, Salvatore Greco, Giuseppe Tipaldo, Tania Cerquitelli. 5253-5262 [doi]
• Empowering University-level Help Desk for International Applicants with AI ChatbotsZahra Karimi, Giuseppe Gallipoli, Luca Cagliero, Francesca Chicco, Carola Rosa, Alessandra Sechi. 5263-5270 [doi]
• Quantifying the Relevance of Youth Research Cited in the US Policy DocumentsMiftahul Jannat Mokarrama, Hamed Alhoori. 5271-5280 [doi]
• A Beam-Search Based Method to Select Classification and Imputation Methods for Fair and Accurate Data AnalysisDodavah Mowoh, Zhiyuan Chen. 5281-5288 [doi]
• Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social BiasesYuya Jeremy Ong, Jay Gala, Sungeun An, Robert J. Moore, Divyesh Jadav. 5289-5297 [doi]
• Methods for Addressing the Societal Challenges of Malicious Narratives in Social Media Using AI/ML Analysis: a Case Study of Hate SpeechAndy Skumanich, Han Kyul Kim. 5298-5306 [doi]
• Guiding Urban Inclusivity: opening the public space in cities for womenGenoveva Vargas-Solar, Ana-Sagrario Castillo-Camporro. 5307-5314 [doi]
• Gen-AI for User Safety: A SurveyAkshar Prabhu Desai, Tejasvi Ravi, Mohammad Luqman, Mohit Sharma, Nithya Kota, Pranjul Yadav. 5315-5324 [doi]
• TRUExT: Trustworthiness Regressor Unified Explainable ToolCatherine Donner, Gopichandh Danala, Wolfgang Jentner, David S. Ebert. 5325-5334 [doi]
• Can a Large Language Model Learn Matrix Functions In Context?Paimon Goulart, Evangelos E. Papalexakis. 5335-5341 [doi]
• Evaluation and Comparison of Open-Source LLMs Using Natural Language Generation Quality MetricsDzenan Hamzic, Markus Wurzenberger, Florian Skopik, Max Landauer, Andreas Rauber. 5342-5351 [doi]
• Utilizing Large Language Models to Synthesize Product Desirability DatasetsJohn D. Hastings, Sherri Weitl Harms, Joseph Doty, Zachary J. Myers, Warren Thompson. 5352-5360 [doi]
• Revitalizing Language Processing with Intelligent Syntax Repair and Boolean Tensor CompletionAnagha Narasimha Joshi. 5361-5368 [doi]
• Generating Descriptive Explanations of Machine Learning Models Using LLMAndrew Pang, Hyeju Jang, Shiaofen Fang. 5369-5374 [doi]
• An Agentic AI-based Multi-Agent Framework for Recommender SystemsIvens Da Silva Portugal, Paulo S. C. Alencar, Donald D. Cowan. 5375-5382 [doi]
• Are Existing Large Language Models Robust Against Jailbreak Attacks?Baha Rababah, Shang Tommy Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora. 5383-5391 [doi]
• SoK: Prompt Hacking of Large Language ModelsBaha Rababah, Shang Tommy Wu, Matthew Kwiatkowski, Carson K. Leung, Cuneyt Gurcan Akcora. 5392-5401 [doi]
• Code LLMs: A Taxonomy-based SurveyNishat Raihan, Christian D. Newman, Marcos Zampieri. 5402-5411 [doi]
• Single-pass Hierarchical Text Classification with Large Language ModelsFabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Amir Hossein Payberah, Vladimir Vlassov. 5412-5421 [doi]
• Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov LogicMonika Shah, Somdeb Sarkhel, Deepak Venugopal. 5422-5431 [doi]
• ActionFusion: Framework of Large Action Model EnablementRichard Shan, Tony Shan. 5432-5441 [doi]
• CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive FeedbackEn-Qi Tseng, Pei-Cing Huang, Chan Hsu, Peng-Yi Wu, Chan-Tung Ku, Yihuang Kang. 5442-5449 [doi]
• CoT-Tree: An Efficient Prompting Strategy for Large Language Model Classification ReasoningYajing Wang, Jiazhen Hu, Zongwei Luo. 5450-5458 [doi]
• Conflict-RAG: Understanding Evolving Conflicts Using Large Language ModelsJacob Wood, Deepti Joshi. 5459-5467 [doi]
• SHR: Enhancing Event Argument Extraction Ability of Large language Models with Simple-Hard RefiningJinghan Wu, Chunhong Zhang, Zheng Hu 0001, Jibin Yu. 5468-5475 [doi]
• Digital Twins: Case Study of Energy Metaverse and Edge-Cloud IntegrationAlì Aghazadeh Ardebili, Angelo Martella, Cristian Martella, Antonella Longo, Antonio Ficarella. 5476-5485 [doi]
• Smart City Digital Twin Platform Architecture for Mobility and Transport Decision Support SystemsPierfrancesco Bellini, Enrico Collini, Marco Fanfani, Luciano Alessandro Ipsaro Palesi, Paolo Nesi. 5486-5495 [doi]
• European data spaces for urban digital twins: user-and implementation-driven recommendationsCristian Martella, Angelo Martella, Antonella Longo. 5496-5505 [doi]
• Exploring the interplay between DataSpaces and Large Language ModelsSalvatore Distefano, Yordanos Nebiyou Yifru. 5506-5515 [doi]
• Addressing data scarcity in local photovoltaic datasets: a GAN-based workflowFederico Izzi, Cristian Martella, Antonella Longo. 5516-5525 [doi]
• A UAV-Based Digital Twin Framework for Real-Time Monitoring and Risk Assessment of Floating Roof Storage TanksSubhransu Sourav Priyadarshan, Saverio Iacono, Gianni Viardo Vercelli. 5526-5531 [doi]
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• TinyML for Cybersecurity: Deploying Optimized Deep Learning Models for On-Device Threat Detection on Resource-Constrained DevicesSonali Arcot, Mohammad Masum, Mohammad Shahidul Kader, Agnik Saha, Mohammed Chowdhury. 5542-5550 [doi]
• The Evaluation of Extracted Features for Detecting Eclipse Attacks on Ethereum Network LayersDhanasak Bhumichai, Ryan G. Benton. 5551-5560 [doi]
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• AWEB to Bridge Cybersecurity Attack Patterns and WeaknessesAhnaf Farhan, Moqsadur Rahman, Monika Akbar, Mahmud Shahriar Hossain. 5567-5576 [doi]
• Blockchain-Enhanced Framework for Secure Third-Party Vendor Risk Management and Vigilant Security ControlsDeepti Gupta, Lavanya Elluri, Avi Jain, Shafika Showkat Moni, Ömer Aslan. 5577-5584 [doi]
• Front-running Attack Detection in Blockchain using Conditional Packing Generative AIShagufta Henna, Mohamed Amjath. 5585-5591 [doi]
• Investigating Data Protection Mechanisms for EEG Biometric AuthenticationCristopher Hernandez, Mohammad Husain. 5592-5601 [doi]
• Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven CybersecurityVikram Kulothungan. 5602-5609 [doi]
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• IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber DefenseDamodar Panigrahi, Shaswata Mitra, Subash Neupane, Sudip Mittal, Benjamin A. Blakely. 5630-5639 [doi]
• BlinkPass: A Means of Securely Accessing Social NetworksPrasuna Pulivendula, Goutham Reddy Alavalapati, Raveendra Babu Ponnuru, Vanga Odelu. 5640-5645 [doi]
• Enhancing Fraud Detection in Enterprise Resource Planning Systems through Federated Learning: A Comparative StudyJonas Schnepf, Caroline Dieterich, Ozan Öztürk, Robin Hirt, Bernd Scheuermann. 5646-5655 [doi]
• Towards Building Generalizable Models for Malware DetectionJihoon Shin, Emilia Rivas, Daniel Lucio, Aritran Piplai, Lavanya Elluri. 5656-5663 [doi]
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• Clustering MBTI Personalities With Graph Filters And Self Organizing Maps Over PineconeGeorgios Drakopoulos, Phivos Mylonas. 5674-5681 [doi]
• Analyzing Deep Learning Techniques in Natural Scene Image ClassificationAthanasios Kanavos 0001, Orestis Papadimitriou, Khalil Al-Hussaeni, Ioannis Karamitsos, Manolis Maragoudakis. 5682-5691 [doi]
• Exploring Network Dynamics: Community Detection and Influencer Analysis in Multidimensional Social NetworksAndreas Kanavos, Gerasimos Vonitsanos, Ioannis Karamitsos, Khalil Al-Hussaeni. 5692-5701 [doi]
• Generalized compression and compressive search of large datasetsMorgan E. Prior, Thomas J. Howard III, Emily Light, Najib Ishaq, Noah M. Daniels. 5702-5710 [doi]
• Automated Exploratory ClusteringGeorg Stefan Schlake, Max Pernklau, Christian Beecks. 5711-5720 [doi]
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• Can Causal DAGs Generate Data-based Explanations of Black-box Models?Arman Ashkari, El Kindi Rezig. 5739-5744 [doi]
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• Leveraging Structured and Unstructured Data for Tabular Data CleaningPavitra Mehra, El Kindi Rezig. 5765-5768 [doi]
• Integrating Flow and Structure in Diagrams for Data ScienceEnea Vincenzo Napolitano, Elio Masciari, Carlos Ordonez 0001. 5769-5774 [doi]
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• Graph Neural Networks for Precision-Guaranteed Compression of Large-scale DataKamiar Khayambashi, Negin Alemazkoor. 5794-5803 [doi]
• At Risk Population Estimates for Belarus, Poland and Slovakia with Machine LearningViswadeep Lebakula, Clinton Stipek, Daniel Adams, Justin Epting, Marie Urban. 5804-5811 [doi]
• Forecasting Unseen Points of Interest Visits Using Context and Proximity PriorsZiyao Li, Shang-Ling Hsu, Cyrus Shahabi. 5812-5818 [doi]
• Pre-trained Transformer Uncovers Meaningful Patterns in Human Mobility DataAlameen Najjar. 5819-5828 [doi]
• Short Paper: Predictive Trajectory Stream IndexingNam Phung, Abdul-Samad, Eleazar Leal, Le Gruenwald. 5829-5832 [doi]
• Data Lakehouse for Time Series Data: A Systematic Literature ReviewMatthias Pohl, Nathira Dharindri Wijemanne, Daniel Staegemann, Christian Haertel, Christian Daase, Dirk Dreschel, Damanpreet Singh Walia, Arne Osterthun, Joshua Reibert, Klaus Turowski. 5833-5842 [doi]
• Large Language Model Empowered Spatio-Visual Queries for Extended Reality EnvironmentsMohammadmasoud Shabanijou, Vidit Sharma, Suprio Ray, Rongxing Lu, Pulei Xiong. 5843-5846 [doi]
• Empirically Categorizing the Built Environment in Relation to HeightClinton Stipek, Justin Epting, Daniel Adams, Viswadeep Lebakula, Taylor Hauser, Robert Stewart, Christa Brelsford, Allan Ross. 5847-5856 [doi]
• Exceptions with Priorities by Ethical Values for Logic Programming in Natural LanguageKeisuke Nakamura, Narumi Naya, Tatsuyoshi Ando. 5867-5871 [doi]
• When an Old Telecommunication Law Meets Generative AI: the Manifesto to Unbundle AIAleksandra Pawlicka, Marek Pawlicki, Dagmara Jaroszewska-Choras, Damian Puchalski, Rafal Kozik, Michal Choras. 5872-5875 [doi]
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• Creating, Sustaining, and Evaluating Personalized Digital Health SystemsScott M. Sittig, M. Sriram Iyengar, Jose F. Florez-Arango, Beenish M. Chaudhry. 5884-5890 [doi]
• Steering a Standard Arab Language Processing Model Towards Accurate Saudi Dialect Sentiment Analysis Using Generative AISulaiman Aftan, Yu Zhuang, Ahmad O. Aseeri, Habib Shah. 5891-5900 [doi]
• Time Series Forecasting with GCN-LSTM Based Unified Model for Product Demand PredictionMelike Yildiz Aktas, Taoran Ji, Chang-Tien Lu. 5901-5906 [doi]
• Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power EdgeShamil Al-Ameen, Bharath Sudharsan, Tejus Vijayakumar, Tomasz Szydlo, Tejal Shah, Rajiv Ranjan 0001. 5907-5916 [doi]
• Adaptive Hierarchical GHSOM with Federated Learning for Context-Aware Anomaly Detection in IoT NetworksLulwah Alkulaib. 5917-5925 [doi]
• Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic LogicFatimah Alotaibi, Adithya Kulkarni, Dawei Zhou. 5926-5935 [doi]
• Multilingual Student Performance Prediction Using Llama 3Buddhi Ayesha, Umashanger Thayasivam, Uthayasanker Thayasivam. 5936-5945 [doi]
• Non-Uniform Parameter-Wise Model MergingAlbert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky. 5946-5954 [doi]
• Latent Cluster Discovery in a Collection of Low Count Non-Gaussian Time Series in Economics DomainIshani Chakraborty, Genie Rubaiyat. 5955-5964 [doi]
• Can Deep Learning Do Everything in AI? An Exploration of Simple Examples in Image SegmentationLi Chen. 5965-5971 [doi]
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• MALAGA - MultidimensionAL Big DAta Analytics over Massive Graph DAtaAlfredo Cuzzocrea, Mojtaba Hajian, Abderraouf Hafsaoui. 5991-6000 [doi]
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• CART-OD: Optimizing Object Detection Models via Correlation-Aware PredictionUtsab Khakurel, Danda B. Rawat, Adrienne Raglin, Anjon Basak. 6037-6046 [doi]
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• Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big DataXian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta 0001. 6058-6067 [doi]
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• An Advanced Liver Disease Detection Tool with a Stacking-Ensemble-based Machine Learning ApproachMd. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, Alfredo Cuzzocrea, Mst. Shapna Akter. 6123-6131 [doi]
• NeuroBooster: A Robust Classifier for the Discovery of Neuropeptide Sequences based on Meta-learning ApproachMd. Shazzad Hossain Shaon, Md. Fahim Sultan, Tasmin Karim, Md. Shoaib Hossain Alshan, Alfredo Cuzzocrea, Mst. Shapna Akter. 6132-6141 [doi]
• Multi-task Learning with Pre-trained Language Models for Mental Illness ScreeningAvantika Shrestha, ML Tlachac, Ricardo Flores, Kevin Hickey, Elke A. Rundensteiner. 6142-6150 [doi]
• AttentionXML VS LLMs: An Empirical Evaluation of Extreme Multi-Label Classification TechniquesBhargav Solanki, Natalia Ostapuk, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux. 6151-6160 [doi]
• Spatio-temporal Causal Learning for Streamflow ForecastingShu Wan 0002, Reepal Shah, Qi Deng, John Sabo, Huan Liu 0001, K. Selçuk Candan. 6161-6170 [doi]
• FLAME Diffuser: Wildfire Image Synthesis using Mask Guided DiffusionHao Wang, Sayed Pedram Haeri Boroujeni, Xiwen Chen, Ashish Bastola, Huayu Li, Wenhui Zhu, Abolfazl Razi. 6171-6179 [doi]
• Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph LearningLijing Zhu, Donghyun Jeon, Wenbo Sun, Li Yang, Chloe Yixin Xie, Shuteng Niu. 6180-6189 [doi]
• Detecting Fake News Spreaders on Social Media Using Posts Content Versus Profile InformationIfeoma Adaji, Linda O. Okpanachi. 6190-6198 [doi]
• How Much You Can Get at the Cost of Your PrivacyUmar Albalawi. 6199-6205 [doi]
• Network Fragility: Dual Graph Insights into Link and Node Removal Using Effective ResistanceCarmela Comito, Annalisa Socievole. 6206-6213 [doi]
• An Innovative Big Data Framework for Supporting Multidimensional Risk Analysis and Prediction over Digital TwinsAlfredo Cuzzocrea, Ismail Benlaredj. 6214-6222 [doi]
• Privacy-Preserving Identity and Access Management in Multiple Cloud Environments: Models, Issues, and SolutionsAlfredo Cuzzocrea, Islam Belmerabet. 6223-6229 [doi]
• GAN-based Anomaly Detection for Urban SensingKyle DeMedeiros, Marwan F. Abdelatti, Abdeltawab M. Hendawi. 6230-6239 [doi]
• A Systematic Literature Review of Decentralized Applications in Web3: Identifying Challenges and Opportunities for Blockchain DevelopersMd. Jobair Hossain Faruk, Pratusha Raya, Md Kamrul Siam, Jerry Q. Cheng, Hossain Shahriar, Alfredo Cuzzocrea, Pablo García Bringas. 6240-6249 [doi]
• Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial AttacksMd. Zarif Hossain, Ahmed Imteaj. 6250-6259 [doi]
• ConvNLP: Image-based AI Text DetectionSuriya Prakash Jambunathan, Ashwath Shankarnarayan, Parijat Dube. 6260-6268 [doi]
• Toxic language based echo chambers on the Incels.net community: A network analysis approachMathieu Janssen, Giuseppe Cascavilla, Claudia Zucca, Alfredo Cuzzocrea. 6269-6278 [doi]
• DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground MinesMizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong. 6279-6288 [doi]
• Differentially Private Synthetic Data Generation Using Context-Aware GANsAnantaa Kotal, Anupam Joshi. 6289-6297 [doi]
• Privacy-Preserving Publishing with Generative Adversarial Network (GAN) for Supporting Contact Tracing of Infectious DiseasesAnifat M. Olawoyin, Carson K. Leung, Hoang Hai Nguyen, Alfredo Cuzzocrea. 6298-6307 [doi]
• Implementation of Point-Based Scoring Model for Fraud DetectionSue Lhymn. 6308-6312 [doi]
• Partially training, isolating and unlearning, mitigating backdoor attackYong Li, Han Gao, Hao Chen, Yiming Wang, Chun Yu. 6313-6319 [doi]
• ConfliLPC: Logits and Parameter Calibration for Political Conflict Analysis in Continual LearningXiaodi Li, Niamat Zawad, Patrick T. Brandt, Javier Osorio, Vito D'Orazio, Latifur Khan. 6320-6329 [doi]
• Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine LearningDan Chia-Tien Lo, Yong Shi 0002, Hossain Shahriar, Bobin Deng, Xinyue Zhang 0001, Mei-Lan Chen. 6330-6335 [doi]
• Automated Knowledge Framework for IoT Cybersecurity ComplianceIkechukwu Oranekwu, Lavanya Elluri, Gunjan Batra. 6336-6345 [doi]
• A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart FarmingLopamudra Praharaj, Deepti Gupta, Maanak Gupta. 6346-6355 [doi]
• EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source CodeShahriyar Zaman Ridoy, Md. Shazzad Hossain Shaon, Alfredo Cuzzocrea, Mst. Shapna Akter. 6356-6364 [doi]
• Cross-Platform Hate Speech Detection with Weakly Supervised Causal DisentanglementParas Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu 0001. 6365-6373 [doi]
• Explanation-based Adversarial Detection with Noise ReductionJuntao Su, Zhou Yang 0002, Zexin Ren, Fang Jin. 6374-6378 [doi]
• Private Synthetic Data Generation for Mixed Type DatasetsIrene Tenison, Ashley Chen, Navpreet Singh, Omar Dahleh, Eliott Zemour, Lalana Kagal. 6379-6386 [doi]
• Problematic Tokens: Tokenizer Bias in Large Language ModelsJin Yang, Zhiqiang Wang, YanBin Lin, Zunduo Zhao. 6387-6393 [doi]
• LDA model for privacy access based on trajectories and POIsMin Zhu, Huijun Dai, Xiaoling Gui, Yi Huang. 6394-6402 [doi]
• Link Ontology Analytics: Representing COVID-19 Data as Network LinksAbhilash C. B., Manjunath K. V, Animesh Chaturvedi 0001, Kavi Mahesh. 6403-6410 [doi]
• Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare ApplicationsAnkita Agarwal, Tanvi Banerjee, William L. Romine, Mia Cajita. 6411-6419 [doi]
• Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative OperationsYasmine Mustafa, Mohamed Elmahallawy, Tie Luo 0001. 6420-6429 [doi]
• Tackling Data Sparsity and Combinatorial Challenges in Rare Disease Matching with Medical Informed Machine LearningArmin Berger, Tom Anglim Lagones, Lorenz Grigull, Lara Fendrich, Thiago Bell, Henriette Högl, Gundula Ernst, Ralf Schmidt, David Bascom, Rafet Sifa, Max Lübbering. 6430-6438 [doi]
• Mobility Scooter Riding Behavior Stability Analysis Based on Multimodal Contrastive LearningJustin Chung, Chenrui Zhang, Tingting Chen. 6439-6445 [doi]
• Scaling Siamese Neural Network for Cross-Domain Few Shot Learning in Medical ImagingJinan Fiaidhi, Sabah Mohammed. 6446-6451 [doi]
• Big Data Decision-Making and Racial Disparities: A Case Study Among COVID-19 Inpatient VisitsAtefehsadat Haghighathoseini, Janusz Wojtusiak, Nirup M. Menon, Hua Min, Cara Frankenfeld, Timothy Leslie. 6452-6459 [doi]
• BERT-Based Semantic Relations Extraction from Large-scale Medical DatasetsAya Hammami, Sana Ben Abdallah Ben Lamine, Hajer Baazaoui. 6460-6468 [doi]
• MECG-E: Mamba-based ECG Enhancer for Baseline Wander RemovalKuo-Hsuan Hung, Kuan-Chen Wang, Kai-Chun Liu, Wei-Lun Chen, Xugang Lu, Yu Tsao 0001, Chii-Wann Lin. 6469-6475 [doi]
• MediRAG: Secure Question Answering for Healthcare DataEmily Jiang, Alice Chen, Irene Tenison, Lalana Kagal. 6476-6485 [doi]
• Semantic Question Answering: Deep Learning and NoSQL Solution for the Medical DomainKoussay Khelil, Ghada Besbes, Hajer Baazaoui Zghal. 6486-6493 [doi]
• Sustainability of Energy Saving in Healthcare IoT DevicesManoj Kumar 0009, Chaitali Choudhary, May ElBarachi. 6494-6501 [doi]
• Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing AssistantsYen-Ku Liu, Yun-Cheng Tsai. 6502-6509 [doi]
• Assessing Empathy in Large Language Models with Real-World Physician-Patient InteractionsMan Luo, Christopher J. Warren, Lu Cheng, Haidar M. Abdul-Muhsin, Imon Banerjee. 6510-6519 [doi]
• Dynamic Insights: Well-being Activity Infused Fine-Tuning of Large Language ModelsHamza Haruna Mohammed, Gabriel Kiss, J. Artur Serrano, Frank Lindseth. 6520-6527 [doi]
• Explainable Multi-Label Classification Framework for Behavioral Health Based on Domain ConceptsFrancis Nweke, Abm. Adnan Azmee, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan. 6528-6537 [doi]
• THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic LearningSurendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem. 6538-6546 [doi]
• Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge GraphSultan Turhan, Mustafa Berk Bacaksiz. 6547-6555 [doi]
• Enhancing Healthcare Services through User-Centered Data Collection and AnalysisOzlem Zungor, Yigit Uludag, Ozan Celikel, Ozgun Pinarer. 6556-6563 [doi]
• Inferring Relationships between Tabular Data and Topics using LLM for a Dataset Search TaskYukihisa Fujita, Teruaki Hayashi, Masahiro Kuwahara. 6564-6573 [doi]
• Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language ModelsTeruaki Hayashi, Hiroki Sakaji, Jiayi Dai, Randy Goebel. 6574-6583 [doi]
• Hotspots of Eviction: Guiding Dual-Track Policy Intervention with Spatial AnalysisWooyong Jung, Maryam Tabar, Dongwon Lee 0001. 6584-6593 [doi]
• ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language ModelsSeiya Kawano, Hirofumi Nonaka, Koichiro Yoshino. 6594-6603 [doi]
• Metadata-less Dataset Recommendation Leveraging Dataset Embeddings by Pre-trained Tabular Language ModelsKosuke Manabe, Yukihisa Fujita, Masahiro Kuwahara, Teruaki Hayashi. 6604-6613 [doi]
• Evaluating Company-specific Biases in Financial Sentiment Analysis using Large Language ModelsKei Nakagawa, Masanori Hirano 0001, Yugo Fujimoto. 6614-6623 [doi]
• Knowledge Management for Automobile Failure Analysis Using Graph RAGYuta Ojima, Hiroki Sakaji, Tadashi Nakamura, Hiroaki Sakata, Kazuya Seki, Yuu Teshigawara, Masami Yamashita, Kazuhiro Aoyama. 6624-6631 [doi]
• Impact of Buyer Strategy and Market Size on Data Marketplace Dynamics: A Network-Based Simulation StudyJun Sashihara, Teruaki Hayashi. 6632-6641 [doi]
• Refined and Segmented Price Sentiment Indices from Survey CommentsMasahiro Suzuki, Hiroki Sakaji. 6642-6650 [doi]
• Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and AnalysisTakehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi. 6651-6660 [doi]
• Enhancing Financial Domain Adaptation of Language Models via Model AugmentationKota Tanabe, Masanori Hirano, Kazuki Matoya, Kentaro Imajo, Hiroki Sakaji, Itsuki Noda. 6661-6669 [doi]
• Copula-based Approaches for Anomaly Detection: a Case-study in Financial ForensicsVanessa Tenconi, Damian Andrew Tamburri, Giovanni Ennio Quattrocchi, Corrado Pellegrino, Giuseppe Cascavilla, Willem-Jan van den Heuvel. 6670-6679 [doi]
• ForumPFN: Online Forum Post Fusion Network for Volatility Index Movement PredictionKentaro Ueda, Hirohiko Suwa, Eiichi Umehara, Yuki Ogawa, Tatsuo Yamashita, Kota Tsubouchi, Keiichi Yasumoto. 6680-6689 [doi]
• Understanding User Interactions and Community Formation on Data Competition PlatformKenta Yamamoto, Teruaki Hayashi. 6690-6696 [doi]
• OpenResume: Advancing Career Trajectory Modeling with Anonymized and Synthetic Resume DatasetsMichiharu Yamashita, Thanh Tran 0005, Dongwon Lee 0001. 6697-6706 [doi]
• LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility PredictionShamil Al-Ameen, Bharath Sudharsan, Roua Al-Taie, Tejal Shah, Rajiv Ranjan 0001. 6707-6716 [doi]
• CORSAIR: A Framework for Human Mobility Prediction through Visit Characterization and Spatial Behavior ModelingLicia Amichi, Gautam Malviya Thakur, Carter Christopher. 6717-6726 [doi]
• Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site SelectionLuca Silvano Carocci, Qiwei Han. 6727-6736 [doi]
• Fostering sustainable walkability in remote areas: integrating territorial data sources and AI-based simulation techniquesRoberto Garrone, Katsuhiro Nishinari, Stefania Bandini. 6737-6742 [doi]
• Does Station-Town Space Design Change Pedestrians' Mobility in Urban Area?Sae Kondo, Shinpei Nomura, Yi Sun, Kaira Sekiguchi, Yukio Ohsawa. 6743-6749 [doi]
• Structure Estimation of Financial Networks and Its Correlation with Mobility DataNaijia Liu, Kaira Sekiguchi, Yoshiyuki Nakata, Toshiaki Sugie, Takaaki Yoshino, Yukio Ohsawa. 6750-6756 [doi]
• Word Archipelagoes for Explaining Contextual Shifts in Sequential Actions and EventsYukio Ohsawa. 6757-6764 [doi]
• Improving Energy Consumption Forecasting with Contextual Awareness: A Hybrid Deep Learning PerspectiveSundas Sarwar, Diletta Chiaro, Edoardo Prezioso, Sara Amitrano, Salvatore Cuomo, Francesco Piccialli. 6765-6774 [doi]
• Exploring Tourism Value Using Boundary Objects and EdgesRiko Tsubaki, Kaira Sekiguchi, Yukio Ohsawa. 6775-6783 [doi]
• On Vessel Schedule Delay and Its Recoveries in Liner Services Using AIS DataEisuke Watanabe, Sukanya Samanta, Kenta Kowatari, Ryuichi Shibasaki. 6784-6794 [doi]
• Enhancing Data-Driven Predictive Modeling of Pedestrian Crowd Flow with Spatial Priors - Case Studies with Post-Event Crowd Data on a University CampusVivian Wen Hui Wong. 6795-6804 [doi]
• Identification of factors that induce recreational cycling using a route generation modelHiro Yoshida, Kaira Sekiguchi, Yukio Ohsawa. 6805-6814 [doi]
• Agentic Large Language Models for Generating Large-Scale Urban Daily Activity PatternsYurong Zhang, Kunyi Zhang, Yanbo Pang, Yoshihide Sekimoto. 6815-6822 [doi]
• Mobility Patterns of Trailers Around International Container Terminals: A Case Study in Sendai Port, JapanHuixuan Zheng, Chenbo Zhao, Yoshiki Ogawa, Ryuichi Shibasaki, Naoya Fujiwara. 6823-6833 [doi]
• A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal DataZiheng Liu, Yanbo Pang, Yoshihide Sekimoto. 6834-6841 [doi]
• FRTP: Federating Route Search Records to Enhance Long-term Traffic PredictionHangli Ge, Xiaojie Yang, Itsuki Matsunaga, Dizhi Huang, Noboru Koshizuka. 6842-6849 [doi]
• Empowering Citizens through Structured Data: Enhancing Public Service information Delivery in Disaster ResponseNaho Kitano, Jiro Kokuryo, Noboru Koshizuka, Hideyuki Yasui, Kazuhiko Kitayama. 6850-6856 [doi]
• LLM as a Tool for Trust-Creating Communication in the Data MarketplaceSon Yeon Hyuk, Kaira Sekiguchi, Yukio Ohsawa. 6857-6866 [doi]
• DSPOL: A High-Level Language for Defining Data Policies in Data SpacesShunya Taniguchi, Shin Nakajima, Takashi Michikata, Hirotsugu Seike, Noboru Koshizuka. 6867-6876 [doi]
• Interacting Evolution of Modeling and Data Exchange : A Case for Predicting Chemical-Protein Interactive VisualizationJianshi Wang, Yukio Ohsawa. 6877-6883 [doi]
• TreeCNN and NILMTK Unite: Illuminating Energy Efficiency in Real-World ScenariosSabiha Afroz, Buvana Ramanan, Manzoor Khan, Ali R. Butt. 6884-6893 [doi]
• Stock Movement Prediction Using Mamba And Ensemble LearningHalil Ibrahim Akgün, Ahmet Murat Özbayoglu. 6894-6903 [doi]
• Domain Knowledge-Driven Multi-Label Behavioral Health Identification from Police ReportAbm. Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan. 6904-6913 [doi]
• Multi-layered Clustering for Context-aware Monitoring of District Heating NetworkVeselka Boeva, Shahrooz Abghari, Vishnu Manasa Devagiri, Jens Brage. 6914-6923 [doi]
• Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model ApproachRecep Firat Cekinel, Pinar Karagoz. 6924-6932 [doi]
• Twitter Sentiment Analysis, 2-Way Classification: Offensive or Not-Offensive?Mestan Firat Çeliktug. 6933-6943 [doi]
• Power of Sentence Transformers in Record LinkageMestan Firat Çeliktug, Murat Kantarcioglu. 6944-6955 [doi]
• Server-Heartbeat-Based Task Failure Prediction: An Industrial Case StudyMestan Firat Çeliktug, Huseyin Gomleksizoglu. 6956-6966 [doi]
• Vedalytics: Concepts as Knowledge from Rules of the Ancient Indian ScripturesAnimesh Chaturvedi, Vivekraj V. K, Pratik Pakhale, Karthik Avinash. 6967-6976 [doi]
• Improving the Text Convolution Mechanism with Large Language Model for Review-Based RecommendationYoonhyuk Choi, Fahim Tasneema Azad. 6977-6981 [doi]
• Efficient Selective Pre-Training for Imbalanced Fine-Tuning Data in Transfer LearningShaif Chowdhury, Sadia Nasrin Tisha, Mushfika Rahman, Greg Hamerly. 6982-6991 [doi]
• A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter AcquisitionFrancesco Di Cursi, Chiara Boldrini, Andrea Passarella, Marco Conti. 6992-7001 [doi]
• AI Generated Speech Detection Using CNNMeriç Demirörs, Toygar Akgün, Ahmet Murat Özbayoglu. 7002-7010 [doi]
• Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity MethodSoheila Farokhi, Haozhe Chen, Kevin R. Moon, Hamid Karimi. 7011-7020 [doi]
• Unsupervised Parameter-free Outlier Detection using HDBSCAN* Outlier ProfilesKushankur Ghosh, Murilo Coelho Naldi, Jörg Sander 0001, Euijin Choo. 7021-7030 [doi]
• Community Detection Using An Improved Label Propagation AlgorithmPeilin Guo, Qian Tang, Jiaqi Guo. 7031-7040 [doi]
• Fool 'Em All - Fool-X: A Powerful & Fast Method for Generating Effective Adversarial ImagesSamer Y. Khamaiseh, Mathew Mancino, Deirdre Jost, Abdullah S. Al-Alaj, Derek Bagagem, Edoardo Serra. 7041-7075 [doi]
• SentimentGPT: Leveraging GPT for Advancing Sentiment AnalysisKiana Kheiri, Hamid Karimi. 7051-7060 [doi]
• A Comparative Analysis on Leveraging K-Nearest Neighbours for Accurate Stock Price ForecastingFatih Kihtir, Kasim Oztoprak. 7061-7067 [doi]
• Enhancing Smart Grid Efficiency through AI TechnologiesSelen Kayan Kiliç, Kaan Özdemir, Uraz Yavanoglu, Suat Özdemir. 7068-7074 [doi]
• When IoT Meet LLMs: Applications and ChallengesIbrahim Kök, Orhan Demirci, Suat Özdemir. 7075-7084 [doi]
• Federated Learning on Recommender SystemsKetan Malempati, Pruthvi Raj Kotigari, Kandukuri Sai Teja, Magdalini Eirinaki. 7085-7094 [doi]
• A Graph-Based Representation of Wastewater MapsIkram El Miqdadi, Fatima Abouzid, Salem Benferhat, Nanée Chahinian, Carole Delenne. 7095-7103 [doi]
• Enhancing Synthetic Data Generation for Class Imbalance and Privacy PreservationWeijie Niu, Alberto Huertas Celdrán, Jingjing Li, Burkhard Stiller. 7104-7109 [doi]
• The Impact of Weather Conditions on Renewable Energy Production: A Machine Learning ApproachRecep ÖZbay, Merve Çelebi, Uraz Yavanoglu. 7110-7115 [doi]
• A Comparative Study on Key Generation in Wireless Sensor NetworksAhmet Oztoprak, Reza Hassanpour, Aysegul Ozkan, Kasim Oztoprak. 7116-7121 [doi]
• Moral Frameworks and Sentiment in Tweets: A Comparative Study of Public Opinion on the Israeli-Palestine ConflictYulu Qiu, Yutong Ye, Xupin Zhang, Jiebo Luo 0001. 7122-7130 [doi]
• Semantics Preserving Emoji Recommendation with Large Language ModelsZhongyi Qiu, Kangyi Qiu, Hanjia Lyu, Wei Xiong 0008, Jiebo Luo 0001. 7131-7140 [doi]
• FPSRec: Football Players Scouting Recommendation System based on Generative AIAntonio Maria Rinaldi, Antonio Romano, Cristiano Russo, Cristian Tommasino. 7141-7150 [doi]
• Unmasking Public Perception: A Mixed-Methods Exploration of Social Media Discourse on U.S. Illegal ImmigrationSalim Sazzed, Sharif Ullah. 7151-7160 [doi]
• The Melancholic Muse: Analyzing Listeners' Emotional Resonance with Sad MusicSalim Sazzed. 7161-7170 [doi]
• Comprehensive Evaluation of Transformer Models for Complex Information Detection in Unstructured DocumentsDivya Singh, Atsumi Terayama. 7171-7176 [doi]
• A Unified Language Model Approach for the Semantic Interpretation of Traffic SignsSasha Strelnikoff, Neha Pullabhotla, JieJun Xu, Alireza Esna Ashari. 7177-7182 [doi]
• GraphHash: Topic-Aware Influence Maximization Using HashQian Tang, Peilin Guo, Jiaqi Guo. 7183-7192 [doi]
• In the Eyes of the Bystander: Are the Stances on Different Conflicts Correlated?Yiyao Tao, Hengyu Zhang, Babli Dey, Selenge Tulga, Hanjia Lyu, Jiebo Luo 0001. 7193-7201 [doi]
• Federated Orchestration Framework for Integrated Core and Edge Network Security: Combining P4-ShieldNet and SAFE-CASTYusuf Kursat Tuncel, Kasim Oztoprak. 7202-7207 [doi]
• AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0Özlem Turgut, Ibrahim Kök, Suat Özdemir. 7208-7217 [doi]
• Text Summary Generation based on Data Augmentation and Contrastive LearningJenq-Haur Wang, Jie-An Zhuang. 7218-7224 [doi]
• Solving Vehicle Routing Problem With Time Windows Based on Chaotic Adaptive Discrete Particle Swarm Optimization AlgorithmWenhong Wei, Yu Ma, Ani Dong, Qingxia Li. 7225-7231 [doi]
• Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language ModelsPatrick Y. Wu, Jonathan Nagler, Joshua A. Tucker, Solomon Messing. 7232-7241 [doi]
• Recommendation model based on knowledge graphs and semantic alignmentZhiyue Xiong, Hankiz Yilahun, Askar Hamdulla. 7242-7251 [doi]
• BERT-MLTKE: A Multi-task Deep Learning Framework for Keyphrase Extraction in Social MediaDingming Xue, Yang Ding, Kaira Sekiguchi, Yukio Ohsawa. 7252-7261 [doi]
• A Dual-Approach Framework for Enhancing Network Traffic Analysis (DAFENTA): Leveraging NumeroLogic LLM Embeddings and Transformer Models for Intrusion DetectionNing Yu 0004, Liam Davies, Wei Zhong. 7262-7271 [doi]
• LLM-based Hierarchical Label Annotation for Foodborne Illness Detection on Social MediaDongyu Zhang, Ruofan Hu 0001, Dandan Tao, Hao Feng, Elke A. Rundensteiner. 7272-7281 [doi]
• Enhancing Network Traffic Classification with Large Language ModelsHonghe Zhou, Xin Huang, Lin Deng 0001. 7282-7291 [doi]
• Deep Learning and Machine Learning Models for Scalable Credit Card Default Prediction on Big DataAnne Chen, Yulu Qiu. 7292-7296 [doi]
• Data-Driven Physics Informed Neural Network of Submarine Hull Shapes for Active Sonar EvasionHannah Cho. 7297-7301 [doi]
• Ship Detection from Optical Remote Sensing ImagesMerve Demir. 7302-7307 [doi]
• A Physics Informed Convolutional Neural Network for Simulating Carbon Nanotube Wires in Infinite Spatial Dimensions and Arbitrary FrequencySelma Emekci. 7308-7312 [doi]
• Integrating MedCLIP and Cross-Modal Fusion for Automatic Radiology Report GenerationQianhao Han, Junyi Liu, Zengchang Qin, Zheng Zheng. 7313-7317 [doi]
• How Effective is AI-Powered Social Media Analysis: Mining Reddit Conversations on Emergency RoomsNathan He, Victor Tang, Huanmei Wu. 7318-7322 [doi]
• EfficientViT for Video Action RecognitionDerek Jin, Shengyou Zeng. 7323-7326 [doi]
• Application of Carbon Footprint Clustering by Machine Learning Aids Carbon Emission Reduction in Thrifty Food Plan OptimizationDerek Jin, Liyuan Liang. 7327-7331 [doi]
• Towards Robust mmWave-based Human Activity Recognition using Large Simulated Dataset for Model PretrainingVinay Joshi, Shengkai Xu, Qiming Cao, Yi Zhu, Pu Wang, Hongfei Xue. 7332-7337 [doi]
• TQL: Towards Type-Driven Data DiscoveryAndrew Y. Kang, Sainyam Galhotra. 7338-7343 [doi]
• Gender Inequality in Vehicle Safety: Insights from Logistic Regression and Random Forest AnalysisJonathan Li. 7344-7348 [doi]
• AI Framework to Forecast Medication Usage with ICD-9/10 CodeJonathan Li. 7349-7353 [doi]
• The Rhythm of the Mind: Exploring the Link Between Music Preferences and Mental Health Through Machine LearningAndrew T. Lian, Yong Chen. 7354-7358 [doi]
• FRISTS: High-Performing Interpretable Medical PredictionSophia Lin, Xinyu Dong, Fusheng Wang 0001. 7359-7363 [doi]
• High-Resolution Poverty Mapping with Foundation Models: A Cost-effective Approach from Street Views to Satellite ImagesWilliam Lu, Zhili Li, Yiqun Xie. 7364-7368 [doi]
• Low Field MRI Deep Learning Framework for Non-Hospitalizing Early Detection and Characterization of Alzheimer's Disease PathologyAarav Minocha, Seungyong Yang, Jainish H. Patel, Ivan Ma. 7369-7373 [doi]
• Remote Fault Detection of Anemometers Using Machine Learning on Simulated Wake ModelsAidan Norris, Hussein Abdeltawab. 7374-7379 [doi]
• HILITE: Human-in-the-loop Interactive Tool for Image EditingArya Pasumarthi, Armaan Sharma, Jainish H. Patel, Ayush Bheemaiah, Subhadra Vadlamannati, Seth Chang, Sophia Li, Eshaan Barkataki, Yutong Zhang, Diyi Yang, Graham Neubig, Simran Khanuja. 7380-7385 [doi]
• Enhancing Fairness in Medical Image Classification: A Comparative Study of Convolutional Neural Networks and Adversarial LearningGauri Kshettry, Twisha Patel. 7386-7390 [doi]
• Combined Correlational Network for Identifying Behavioral Health Cases from First Responder ReportMason Pederson, Abm. Adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei, Dominic Thomas, Monica Nandan. 7391-7396 [doi]
• Leveraging Machine Learning for Autonomous Ultrasonic Mitigation of Harmful Algal Blooms Along the Pacific CoastVarun Rao, Sajeev Magesh. 7397-7401 [doi]
• Quantum Kernel Based Transient Stability Assessment of Power Systems and Its Implementation in NISQ EnvironmentTrisha Sabadra, Sijia Yu, Yifan Zhou. 7402-7406 [doi]
• Identifying Rapidly Evolving Genes in Coral Species to Better Understand Coral BleachingAdrita Samanta, Lenore Cowen. 7407-7411 [doi]
• Algorithmic Lending Bias: Evaluating the Fairness of Historical Redlining in Loan ApprovalsKuber Sarwal, Sheikh Rabiul Islam. 7412-7416 [doi]
• Analyzing Spatiotemporal Trends and Anomalies in Power Outage Data Across the United StatesRuhaan Singh. 7417-7421 [doi]
• Comparing Inexact String Matching Methods for Large Scale Entity MatchingDavis Spradling, Erik Saule. 7422-7427 [doi]
• Improving Automated Feature Selection in Cancer Genomics Using Reinforcement LearningHannah Z. Wang, Wei Zhang. 7428-7432 [doi]
• Scoring with Large Language Models: A Study on Measuring Empathy of Responses in DialoguesHenry J. Xie, Jinghan Zhang, Xinhao Zhang 0001, Kunpeng Liu 0001. 7433-7437 [doi]
• GRASP: Municipal Budget AI Chatbots for Enhancing Civic EngagementJerry Xu, Justin Wang, Joley Leung, Jasmine Gu. 7438-7442 [doi]
• Biometric Authentication via Electrocardiogram TracesNaomi Argaw, Diwas Pandey, Scott Wallace. 7443-7447 [doi]
• TransBug: Transformer-Assisted Bug Detection and Diagnosis in Deep Neural NetworksAbdul Haq Ayantayo, Johnson Chen, Muhammad Anas Raza, Mohammad Wardat. 7448-7453 [doi]
• Predicting Cardiac Complications of Myocardial Infarction Patients Using Machine LearningShriyansh Baidya, Vibhuti Gupta. 7454-7462 [doi]
• Improving Gamma Imaging in Proton Therapy by Sanitizing Compton Camera Simulated Patient Data using Neural Networks through the BRIDE PipelineMichael O. Chen, Julian Hodge, Peter L. Jin, Ella Protz, Elizabeth Wong, Ruth Obe, Ehsan Shakeri, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Vijay R. Sharma, Sina Mossahebi, Lei Ren, Stephen W. Peterson, Jerimy C. Polf. 7463-7470 [doi]
• Fly-ABAC: Attribute Based Access Control for the Navigation of Unmanned Aerial VehiclesWynter Japp, Victoria Lee, Sai Avinash Vagicherla, Carlos E. Rubio-Medrano. 7471-7476 [doi]
• Data-Driven Modeling of Wind Farm Power and Revenue GenerationIvan Karp, Chris Qin. 7477-7484 [doi]
• Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question AnsweringAryan Keluskar, Amrita Bhattacharjee, Huan Liu. 7485-7490 [doi]
• RAGFix: Enhancing LLM Code Repair Using RAG and Stack Overflow PostsElijah Mansur, Johnson Chen, Muhammad Anas Raza, Mohammad Wardat. 7491-7496 [doi]
• Data-Driven Initial Guess Selection for Numerical Weather Prediction SolversDavid Millard 0003, Arielle Carr, Stéphane Gaudreault. 7497-7505 [doi]
• Utilizing Large Language Models (LLMs) in Data Analysis Pipeline for Digital Phenotyping: Description, Prediction, and VisualizationDerek Nissen, Tianyang Yu, Reyva Babtista, Yi Shang. 7513-7520 [doi]
• A Comparative Analysis between AI Generated Code and Human Written Code: A Preliminary StudyAbhi Patel, Kazi Zakia Sultana, Bharath K. Samanthula. 7521-7529 [doi]
• Importance Sampling to Learn Vasopressor Dosage to Optimize Patient Mortality in an Interpretable MannerAnshul Rastogi, Dongjin Song Mentor. 7530-7539 [doi]
• Ecosystem-Based Wildfire Risk Prediction with Machine LearningEric Alexander Schmitt, Evan Zaremba, Neha Ananthavaram, Li Liu, Mario Giraldo, Xunfei Jiang. 7540-7545 [doi]
• Energy Prediction for Automobile Air Conditioning SystemsAdel Tazhibi, Nathan Dong, Kavyalata Kothari, Taehyung Wang. 7546-7554 [doi]
• Visual Identification of Oysters Using Machine LearningJoshua Essandoh, Michael Straus, Nikolai Vukov, Yuanwei Jin, Enyue Lu. 7555-7562 [doi]
• OSDA-ST: Advancing Open Set Domain Adaptation Through Selective Thresholding in Remote SensingAndy Wang, Rahul Gomes, Papia F. Rozario. 7563-7570 [doi]
• Hardware Generation on Trigonometric FunctionsPaul Wong, Dania Susanne Mosuli, Xuechen Zhang, Xiaokun Yang. 7571-7576 [doi]
• Towards More Robust and Scalable Deep Learning Systems for Medical Image AnalysisAkshaj Yenumala, Xinyue Zhang, Dan Lo. 7577-7585 [doi]
• A Study of PyTorch Bug Patterns and Memory-Related ChallengesBrian Yu, Rubayet Rahman Rongon, Chen Cao, Xuechen Zhang. 7586-7591 [doi]
• Privacy-Preserving Federated InterpretabilityAzra Abtahi, Amin Aminifar, Amir Aminifar. 7592-7601 [doi]
• Enhancing Federated Learning for Confidential Sensor Data Aggregation in IoMT EnvironmentsDagmawit Tadesse Aga, Madhuri Siddula. 7602-7611 [doi]
• MedTimeSplit: Continual dataset partitioning to mimic real-world settings for federated learning on Non-IID medical image dataErikson Júlio De Aguiar, Agma J. M. Traina, Sumi Helal. 7612-7621 [doi]
• Client Specific Dynamic Aggregation for Non-IID Federated LearningVincenzo Altomare, Dipanwita Thakur, Antonella Guzzo, Francesco Piccialli. 7622-7631 [doi]
• Optimizing Legal Information Access: Federated Search and RAG for Secure AI-Powered Legal SolutionsFlora Amato, Egidia Cirillo, Mattia Fonisto, Alberto Moccardi. 7632-7639 [doi]
• Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated LearningUjjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta 0001, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas. 7640-7647 [doi]
• Discovering Communities With Clustered Federated LearningMickaël Bettinelli, Alexandre Benoit, Kévin Grandjean. 7648-7657 [doi]
• Survival Model Optimization via Federated Learning: A Study Combining Simulations and ExperimentsFrancesco Casadei, Luciana Carota, Gianluca Asti, Saverio D'amico, Davide Piscia, Santiago Zazo, Patricia A. Apellániz, Juan Parras, Claudia Sala, Cesare Rollo, Nono S. C. Merleau, Piero Fariselli, Matteo Giovanni Della Porta, Tiziana Sanavia, Federico Álvarez García, Gastone C. Castellani, Enrico Giampieri. 7658-7667 [doi]
• Ensuring Trustworthiness in Decentralized Systems through Federated Distillation and Feature MixingChristos Chatzikonstantinou, Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras. 7668-7676 [doi]
• Federated Learning Meets Blockchain: A Kafka-ML Integration for reliable model training using data streamsAntonio Jesús Chaves, Cristian Martín 0002, Kwang Soon Kim, Adnan Shahid, Manuel Díaz. 7677-7686 [doi]
• Training Fair Models in Federated Learning without Data Privacy InfringementXin Che, Jingdi Hu, Zirui Zhou, Yong Zhang, Lingyang Chu. 7687-7696 [doi]
• Decentralized Federated Learning: Model Update Tracking Under Imperfect Information SharingVishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak. 7697-7706 [doi]
• ACFed: Communication-Efficient & Class-Balancing Federated Learning with Adaptive Consensus Dropout & Model QuantizationShaif Chowdhury, Aaron Carney, Greg Hamerly, Greg Speegle. 7707-7716 [doi]
• Insurance Anti-fraud based on FL-WOE Encoding for Vertical Federated LearningWenyou Du, Haihang Wang, Jiaming Shen, Guanglei Meng, He Li, Wei Zhou. 7717-7724 [doi]
• A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and ProspectsBoyu Fan, Siyang Jiang, Xiang Su, Sasu Tarkoma, Pan Hui 0001. 7725-7734 [doi]
• LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning ApproachEmmen Farooq, Andrea Borghesi. 7735-7744 [doi]
• Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID DataChao Feng, Alberto Huertas Celdrán, Zien Zeng, Zi Ye, Jan von der Assen, Gérôme Bovet, Burkhard Stiller. 7745-7754 [doi]
• Federated Objective: Assessing Client Truthfulness in Federated LearningMarco Garofalo, Alessio Catalfamo, Mario Colosi, Massimo Villari. 7755-7763 [doi]
• Tackling Data Heterogeneity in Federated Learning through Global Density EstimationSagnik Ghosh, Avinash Kushwaha, Dinesh Singh 0001. 7764-7773 [doi]
• FLeNS: Federated Learning with Enhanced Nesterov-Newton SketchSunny Gupta, Mohit Jindal, Pankhi Kashyap, Pranav Jeevan, Amit Sethi. 7774-7783 [doi]
• Evaluating Federated Dino's performance on the segmentation task across diverse domainsMarko Harasic, Dennis Lehmann, Adrian Paschke. 7784-7789 [doi]
• Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced DataMaximilian Andreas Hoefler, Tatsiana Mazouka, Karsten Mueller, Wojciech Samek. 7790-7799 [doi]
• Federated Multi-task Learning in Distributed NetworksLingzhou Hong, Alfredo García 0001. 7800-7809 [doi]
• Toward Efficient Homomorphic Encryption-Based Federated Learning: A Magnitude-Sensitivity ApproachRen-Yi Huang, G. Dumindu Samaraweera, J. Morris Chang. 7810-7821 [doi]
• Efficient Federated Unlearning with Adaptive Differential Privacy PreservationYu Jiang, Xindi Tong, Ziyao Liu, Huanyi Ye, Chee-Wei Tan 0001, Kwok-Yan Lam. 7822-7831 [doi]
• Overcoming Data Imbalance in Federated Learning with Calibration WeightingNathaniel Kang, Yugyeong Lim, Jongho Im. 7832-7841 [doi]
• Federated Focal Modulated UNet for Cardiovascular Image SegmentationMohammad Asjad, Abdul Qayyum, Moona Mazher, Usman Naseem, Tariq Mahmood Khan, Steven A. Niederer, Imran Razzak. 7842-7848 [doi]
• Privacy-Preserving Federated Learning for Science: Challenges and Research DirectionsKibaek Kim, Krishnan Raghavan, Olivera Kotevska, Matthieu Dorier, Ravi Madduri, Minseok Ryu, Todd S. Munson, Robert Ross, Thomas Flynn, Ai Kagawa, Byung-Jun Yoon, Christian Engelmann, Farzad Yousefian. 7849-7853 [doi]
• Collaborative and Federated Black-box Optimization: A Bayesian Optimization PerspectiveRaed Al Kontar. 7854-7859 [doi]
• Ti-skol: A Modular Federated Learning Framework Supporting Security Countermeasure CompositionDivi De Lacour, Marc Lacoste, Mario Südholt, Jacques Traoré. 7860-7869 [doi]
• Ensuring Trustworthiness in Decentralized Systems through Federated Distillation and Feature MixingChristos Chatzikonstantinou, Athanasios Psaltis, Charalampos Z. Patrikakis, Petros Daras. 7870-7878 [doi]
• Collaboratively Learning Federated Models from Noisy Decentralized DataHaoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed. 7879-7888 [doi]
• LIFE: Leader-driven Hierarchical & Inclusive Federated LearningWenhao Li, Christos Anagnostopoulos, Shameem Puthiya Parambath, Kevin Bryson. 7889-7898 [doi]
• Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality MatchingTan Li, Yanming Gong, Hai Liu, Zhen Chen, Linqi Song. 7899-7908 [doi]
• FedISMH: Federated Learning Via Inference Similarity for Model HeterogeneousYongdong Li, Li e Wang, ZhiGang Sun, Xianxian Li, Hengtong Chang, Jinke Xu, Caiyi Lin. 7909-7918 [doi]
• Fuzzy Federated Multi-Label Feature Selection: Reinforcement Learning and Ant Colony OptimizationAfsaneh Mahanipour, Hana Khamfroush. 7919-7928 [doi]
• Data Efficient Transformers for Wearable Sensor Analysis in Centralized and Federated EnvironmentsJamie McQuire, Paul Watson 0001, Nick Wright, Hugo Hiden, Michael Catt. 7929-7938 [doi]
• Dynamic Topology Optimization for Efficient and Decentralised Federated LearningDanilo Menegatti, Alessandro Giuseppi, Cecilia Poli, Antonio Pietrabissa. 7939-7945 [doi]
• Federated Learning Governance using Eclipse Dataspace Components ConnectorsAngela Mitrovska, Marcel Fernandez Rosas, Pooyan Safari, Behnam Shariati, Johannes Karl Fischer, Ronald Freund. 7946-7954 [doi]
• FedUNRAN: On-device Federated Unlearning via Random LabelsAlessio Mora, Luca Dominici, Paolo Bellavista. 7955-7960 [doi]
• FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated LearningBrianna Mueller, W. Nick Street, Stephen Baek, Qihang Lin, Jingyi Yang, Yankun Huang. 7961-7970 [doi]
• A Defense Mechanism Against LOKI Attacks in Federated Learning for Enhancing Big Data Privacy in Mobile SystemsFaria Nawshin, Devrim Unal, Ponnuthurai N. Suganthan. 7971-7980 [doi]
• FedBlock: A Blockchain Approach to Federated Learning against Backdoor AttacksDuong H. Nguyen, Phi L. Nguyen, Truong T. Nguyen, Hieu H. Pham 0001, Duc A. Tran. 7981-7990 [doi]
• ELFS: Entropy-based Loss Function Selection for Global Model Accuracy in Federated LearningSungHwan Park, Sangho Park, Sunwoo Na, Yeseul Chang, Jaewoo Lee. 7991-7997 [doi]
• Data infrastructure for integrating clinical data in the large-scale international ORCHESTRA cohort: from data import to federated analysisMiroslav Puskaric, Hammam Abu Attieh, Fabian Prasser, Roy Gusinow, Chiara Dellacasa, Elisa Rossi, Juan Mata Naranjo, Lorenzo Maria Canziani, Anna Górska, Jan Hasenauer. 7998-8004 [doi]
• LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence ApproximationLjubomir Rokvic, Panayiotis Danassis, Sai Praneeth Karimireddy, Boi Faltings. 8005-8014 [doi]
• Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated LearningGuangyu Sun, Umar Khalid, Matías Mendieta, Pu Wang, Chen Chen 0001. 8015-8024 [doi]
• Dynamic Model Selection for Asynchronous Federated Learning in IoBT ScenariosEarl Tankard, Desta Haileselassie Hagos, Danda B. Rawat. 8025-8034 [doi]
• Federated Privacy-Preserving Visualization: A Vision PaperYe Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun. 8035-8041 [doi]
• DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation ModelsVasileios Tsouvalas, Yuki M. Asano, Aaqib Saeed. 8042-8051 [doi]
• Revisiting System-Heterogeneous Federated Learning through Dynamic Model SearchDixi Yao. 8052-8061 [doi]
• DHFM-FLM: A Dynamic Hierarchical Federated Learning Mechanism for Financial Models under Client Resource HeterogeneityKangning Yin, Zhen Ding, Shaoqi Hou, Xinhui Ji, Guangqiang Yin, Zhiguo Wang. 8062-8069 [doi]
• Federated Kolmogorov-Arnold Networks for Health Data Analysis: A Study Using ECG SignalSileshi Nibret Zeleke, Mario A. Bochicchio. 8070-8077 [doi]
• Federated Recommendation via Hybrid Retrieval Augmented GenerationHuimin Zeng 0001, Zhenrui Yue, Qian Jiang, Dong Wang. 8078-8087 [doi]
• Drift Detection and Adaptation for Federated Learning in IoT with Adaptive Device ManagementShuang Zhou, Shashank Shekhar 0001, Ajay Chhokra, Abhishek Dubey, Aniruddha Gokhale. 8088-8097 [doi]
• Defending Against Inference and Backdoor Attacks in Vertical Federated Learning via Mutual Information RegularizationTianyuan Zou, Yang Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang. 8098-8107 [doi]
• One-Shot Clustering for Federated LearningMaciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo. 8108-8117 [doi]
• Integrating categorical and continuous data in a cluster-then-classify methodology for predicting undergraduate student successJohn Fields, Kevin Chovanec, Praveen Madiraju. 8118-8126 [doi]
• Enhancing Predictive Fairness in Deep Knowledge Tracing with Sequence Inverted Data AugmentationHan Kyul Kim, Stephen Lu. 8127-8135 [doi]
• ODKT-IAC: Integrating Continual and Adaptive Learning for Personalized Path RecommendationsHuu-Trong Le, Tien Van Tran, Thu Nguyen. 8136-8144 [doi]
• Personalized Learning Path Recommendations: Fusing Knowledge Graph Embedding, Sequence Mining, and Collaborative FilteringHuy Ngo, Khanh Vo, Thu Nguyen. 8145-8153 [doi]
• SteLLA: A Structured Grading System Using LLMs with RAGHefei Qiu, Brian White, Ashley Ding, Reinaldo Costa, Ali Hachem, Wei Ding, Ping Chen. 8154-8163 [doi]
• SSRepL-ADHD: Adaptive Complex Representation Learning Framework for ADHD Detection from Visual Attention TasksAbdul Rehman, Ilona Heldal, Jerry Chun-Wei Lin. 8164-8172 [doi]
• Using AI Cognitive Diagnosis Embedded in a Game-Based Learning EnvironmentLin-Jung Wu. 8173-8178 [doi]
• FedCali: Mitigating Overgeneralization for Anomaly Detection in Distributed Sensor EnvironmentsPi-Wei Chen, Jerry Chun-Wei Lin, Rafal Cupek, Chao-Chun Chen. 8179-8187 [doi]
• Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart FactoriesBozena Malysiak-Mrozek, Dominik Romanów, Piotr Grzesik, Pawel Benecki, Alexandre Niyomugaba, Theodore Habimana, Daniel Kostrzewa, Krzysztof Tokarz, Che-Lun Hung, Dariusz Mrozek. 8188-8197 [doi]
• Smartwatch-Based Human Staff Activity Classification: A Use-Case Study in Internal Logistics Systems Utilizing AGVsOlena Pavliuk, Myroslav Mishchuk. 8198-8207 [doi]
• Time Series Causal Discovery Using a Hybrid MethodSaima Absar, Lu Zhang 0021. 8208-8210 [doi]
• Global and Local Structure Learning for Sparse Tensor CompletionDawon Ahn, Evangelos E. Papalexakis. 8211-8213 [doi]
• Data-Aided Intrusion Detection Systems: Leveraging AI, Blockchain and Digital Twin TechnologyOhood Alharbi, Riaz Ahmed Shaikh 0001, Rameez Asif. 8214-8215 [doi]
• A Methodology for Analysing Code Anomalies in Open-Source Software Using Big Data AnalyticsJimmy Campbell. 8216-8218 [doi]
• User Privacy in Skeleton-based Motion DataThomas Carr 0001, Depeng Xu 0001. 8219-8221 [doi]
• Responsible AI for Government Program Evaluation and Performance AuditsDaniel F. Fonner, Frank P. Coyle. 8222-8224 [doi]
• Leveraging Big Data Technologies for Practical Radio Frequency Fingerprinting ApplicationsStefan Kunze, Wolfgang Dorner. 8225-8226 [doi]
• Knowledge Transfer Predictive Models for Power Outage Caused by Various Types of Extreme Weather EventsJangjae Lee, Stephanie German Paal. 8227-8229 [doi]
• Forensic Intelligence Derived from Crime Scene Evidence Using Text EmbeddingsVinicius Lima, Umit Karabiyik. 8230-8232 [doi]
• Optimizing Deployment of Homomorphic Encryption and SQL using Reinforcement LearningRyan Marinelli, Åvald Åslaugson Sommervoll, Laszlo Tibor Erdodi. 8233-8234 [doi]
• Domain-Aware LLM Routing During GenerationJosef Pichlmeier, Philipp Ross, André Luckow. 8235-8237 [doi]
• Towards a Supporting Framework for Neuro-Developmental Disorder: Considering Artificial Intelligence, Serious Games and Eye TrackingAbdul Rehman, Ilona Heldal, Diana L. Stilwell, Jerry Chun-Wei Lin. 8238-8240 [doi]
• Enhanced Deepfake Detection Leveraging Multi-Resolution Wavelet Convolutional NetworksSupriyo Sadhya, Xiaojun Qi. 8241-8243 [doi]
• Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain GeneralizationHaoliang Wang, Chen Zhao, Feng Chen. 8244-8246 [doi]
• Enhancing Customer Behavior Prediction and InterpretabilityDanny Y. C. Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin. 8247-8249 [doi]
• Towards Trustworthy Graph Neural Networks and Their Applications in Recommender SystemsLongfeng Wu. 8250-8252 [doi]
• Accounting for Cancer Patients with Severe Outcomes: An Anomaly Detection PerspectiveYang Yan, Christopher Lominska, Gregory N. Gan, Hao Gao, Zhong Chen. 8253-8255 [doi]
• TIFG: Text-Informed Feature Generation with Large Language ModelsXinhao Zhang, Kunpeng Liu. 8256-8258 [doi]
• Thought Space Explorer: Navigating and Expanding Thought Space for Large Language Model ReasoningJinghan Zhang, Kunpeng Liu. 8259-8251 [doi]
• DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground MinesMizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong. 8262-8271 [doi]
• Recursive Queries: Twenty-Five Years After SQL: 1999Marta J. Burzanska, Piotr Wisniewski 0001, Krzysztof Stencel. 8272-8279 [doi]
• About Granular Rough Computing: Concept-Dependent Granulation Powered by Map ReduceRadoslaw Cybulski. 8280-8285 [doi]
• RFMI-based Customer Segmentation with K-meansWensheng Gan, Pinlyu Zhou, Shicheng Wan, Jiyuan Zeng, Zhenlian Qi. 8286-8295 [doi]
• A Federated Mining Framework for Complete Erasable ItemsetsTzung-Pei Hong, Meng-Jui Kuo, Chun-Hao Chen, Katherine Shu-Min Li. 8296-8300 [doi]
• On Text Granularity and Metric Frameworks for Large Language Model Content DetectionLinh Le, Dung Tran. 8301-8308 [doi]
• EduMAS: A Novel LLM-Powered Multi-Agent Framework for Educational SupportQiaomu Li, Ying Xie, Sumit Chakravarty, Dabae Lee. 8309-8316 [doi]
• Decoding the Granular Puzzle of Macromolecules: Efficient 3D Protein Structure Alignment in the Age of Big Data with Apache SparkBozena Malysiak-Mrozek, Paulina Pawlowicz, Vaidy S. Sunderam, Che-Lun Hung, Andrzej Kwiecien, Dariusz Mrozek. 8317-8324 [doi]
• An incremental approach for the detection of legend text in digital mapsArthur Marzinkowski, Salem Benferhat, Anastasia Paparrizou, Cédric Piette. 8325-8332 [doi]
• Textual Out-of-Distribution Data Detection Based on Granular DictionaryTinghui Ouyang, Toshiyuki Amagasa. 8333-8340 [doi]
• Premenstrual Syndrome Detection Based on Granular Computing and AI in Home EnvironmentLukasz Sosnowski, Iwona Szymusik. 8341-8350 [doi]
• Toward the Implementation of the DPC Code Classification System in Hospital Information SystemsShusaku Tsumoto, Tomohiro Kimura, Shoji Hirano. 8351-8356 [doi]
• Toward the Implementation of the DPC Code Classification System in Hospital Information SystemsShusaku Tsumoto, Tomohiro Kimura, Shoji Hirano. 8357-8362 [doi]
• A Utility-Mining-Driven Active Learning Approach for Analyzing Clickstream SequencesDanny Y. C. Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin. 8363-8369 [doi]
• Estimating the Puzzlingness of Chess PuzzlesSebastian Björkqvist. 8370-8376 [doi]
• Predicting Chess Puzzle Difficulty with TransformersSzymon Milosz, Pawel Kapusta. 8377-8384 [doi]
• Pairwise Learning to Rank for Chess Puzzle Difficulty PredictionAndry Rafaralahy. 8385-8389 [doi]
• Moves Based Prediction of Chess Puzzle Difficulty with Convolutional Neural NetworksDymitr Ruta, Ming Liu, Ling Cen. 8390-8395 [doi]
• Estimating Chess Puzzle Difficulty Without Past Game Records Using a Human Problem-Solving Inspired Neural Network ArchitectureAnan Schütt, Tobias Huber, Elisabeth André. 8396-8402 [doi]
• Do Data Scientists Dream About Their Skills' Assessment? - Transforming a Competition Platform Into an Assessment PlatformDominik Slezak, Andrzej Janusz, Maciej Swiechowski, Agnieszka Chadzynska-Krasowska, Jacek Kaminski. 8403-8414 [doi]
• The bread emoji Team's Submission to the IEEE BigData 2024 Cup: Predicting Chess Puzzle Difficulty ChallengeTyler Woodruff, Oleg Filatov, Marco Cognetta. 8415-8422 [doi]
• IEEE Big Data Cup 2024 Report: Predicting Chess Puzzle Difficulty at KnowledgePit.aiJan Zysko, Maciej Swiechowski, Sebastian Stawicki, Katarzyna Jagiela, Andrzej Janusz, Dominik Slezak. 8423-8429 [doi]
• ORDDC'2024: State of the art Solutions for Optimized Road Damage DetectionDeeksha Arya, Hiroshi Omata, Hiroya Maeda, Yoshihide Sekimoto. 8430-8438 [doi]
• Optimizing Road Damage Detection with YOLOv10: A Resource-Efficient Approach Utilizing Augmentation, Data Sampling, and Hyperparameter TuningAshkan Behzadian, Tanner Wambui Muturi, Neema Jakisa Owor, Yaw Adu-Gyamfi. 8439-8446 [doi]
• A Set of Effective Strategies for Optimized Road Damage DetectionYinglong Du, Xu Zhao 0003, Bailin He, Bingke Zhu, Shuaihua Zhao, Guibo Zhu, Jinqiao Wang. 8447-8452 [doi]
• Optimized Road Damage Detection Using Enhanced Deep Learning Architectures for Improved Inference Speed and AccuracyJaemin Jeong, Ji-Ho Cho, Jeong-Gun Lee. 8453-8459 [doi]
• Optimizing YOLO Architectures for Optimal Road Damage Detection and Classification: A Comparative Study from YOLOv7 to YOLOv10Vung Pham, Lan Dong Thi Ngoc, Duy-Linh Bui. 8460-8468 [doi]
• Exploring Real-Time Model Augmentation and Pretraining for Optimized Road Damage DetectionRahul Vishwakarma. 8469-8478 [doi]
• Road Damage Detection with Models Learning from Each OtherFangjun Wang, Jianing Wei, Nan Zhang, Yasuto Watanabe, Shunichi Watanabe, Genta Suzuki, Zhiming Tan. 8479-8484 [doi]
• Towards Real-world Deployment of Deep Learning Solutions for Global Road Damage Detection and ClassificationJooyoung Yoo, Reem Emad Shtaiwi, Mohammad Yasin, Dweep Trivedi, Abdullah Alfarrarjeh, Amani Abu Jabal, Seon Ho Kim. 8485-8494 [doi]
• Exploring The Capabilities of Single-Stage Instance Segmentation Models for Building ExtractionMasato Tamura, Pierre Huyn, Rahul Vishwakarma. 8495-8501 [doi]
• Cross-City Building Instance Segmentation: From More Data to Diffusion-AugmentationYi Jie Wong, Yin-Loon Khor, Mau-Luen Tham, Ban-Hoe Kwan, Anissa Mokraoui, Yoong Choon Chang. 8502-8511 [doi]
• Structured Intention Generation with Multimodal Graph Transformers: The MMIntent-LLM FrameworkBochuan Song, Xiaoxuan Fan, Quanye Jia, Rui Xin, Zhi Zhang. 8512-8519 [doi]
• Large Model Fine-tuning for Suicide Risk Detection Using Iterative Dual-LLM Few-Shot Learning with Adaptive Prompt Refinement for Dataset ExpansionJingyun Bi, Wenxi Zhu, Jingyun He, Xinshen Zhang, Chong Xian. 8520-8526 [doi]
• Finetuning Large Language Models for Suicide Risk Level Assessment on Social MediaLei Cao, ZiHan Wei, Zhexuan Wei, Xixian Chen. 8527-8531 [doi]
• Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social MediaJun Li, Yifei Yan, Ziyan Zhang, Xiangmeng Wang, Hong Va Leong, Nancy Xiaonan Yu, Qing Li. 8532-8540 [doi]
• Suicide Risk Assessment on Social Media with Semi-Supervised LearningMax Lovitt, Haotian Ma, Song Wang, Yifan Peng. 8541-8549 [doi]
• Leveraging Large Language Models for Suicide Detection on Social Media with Limited LabelsVy Nguyen, Chau Pham. 8550-8559 [doi]
• Text Classification with Limited Training Data: Suicide Risk Detection on Social MediaStefan Pasch, Jannic Cutura. 8560-8565 [doi]
• Evaluating Transformer Models for Suicide Risk Detection on Social MediaJakub Pokrywka, Jeremi Kaczmarek, Edward Jacek Gorzelanczyk. 8566-8573 [doi]
• Mental Level Prediction using Long Sentence Discriminators and Language Generation ModelsMasahiro Suzuki. 8574-8580 [doi]
• Enhancing Suicide Risk Detection with a Multisource Data Filtering and Fusion Optimization Framework (MDF-FOF)Shouwen Zheng, Taiqi Zhou, Yingzhi Tao, Junru Chen, Ruofei Wang, Siyuan Liu. 8581-8590 [doi]
• Idempotence-Constrained Representation Learning: Balancing Sensitive Information Elimination and Feature RobustnessXiaoxuan Fan, Bochuan Song, Sai Zhang, Pengfei Zhang, Yuxue Yang. 8591-8597 [doi]
• Enhancing Early Diagnosis of Autism Spectrum Disorder Using Multimodal Data and Explainable AI ModelsYeganeh Abdollahinejad, Md Faisal Kabir 0001. 8598-8600 [doi]
• Macroscopic Emission Modeling of Urban Traffic Using Probe Vehicle Data: A Machine Learning ApproachMohammed Adlouni, Ling Jin, Xiaodan Xu, C. Anna Spurlock, Alina Lazar, Kaveh Farokhi Sadabadi, Mahyar Amirgholy, Mona Asudegi. 8601-8603 [doi]
• Hypergraph of Text: a Mathematical Structure for Organizing and Analyzing Big Text DataDean E. Alvarez, ChengXiang Zhai. 8605-8607 [doi]
• Federated Learning for Medical Applications - A Study on Performance and Bias with Logistic Regression on Small DatasetsKirthika Ashokkumar, Sakina Rahman, Palak Agarwal, Mahima Agumbe Suresh. 8608-8610 [doi]
• Identifying Outliers in AI-based Image CompressionRizwan A. Ashraf, Luanzheng Guo, Hyungro Lee, Nathan R. Tallent. 8611-8613 [doi]
• Mitigating Visual Limitations of Research PapersIbrahim Al Azher, Hamed Alhoori. 8614-8616 [doi]
• A Large Language Model-based Fake News Detection Framework with RAG Fact-CheckingYangxiao Bai, Kaiqun Fu. 8617-8619 [doi]
• Making History ReadableBipasha Banerjee, Jennifer Goyne, William A. Ingram. 8620-8622 [doi]
• Advanced machine learning in neuroimaging studies via federated learningSunitha Basodi, Javier Tomas Romero, Sandeep Panta, Dylan Martin, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun. 8623-8624 [doi]
• Enhancing Contextual Understanding in Knowledge Graphs: Integration of Quantum Natural Language Processing with Neo4j LLM Knowledge GraphSuman Bharti, Dan Chia-Tien Lo, Yong Shi 0002. 8628-8630 [doi]
• Fake Face Detection Using Deep Neural NetworkJanusz Bobulski, Mariusz Kubanek. 8631-8632 [doi]
• Support Vector Machine for Predicting Student Dropout Under Different Normalization MethodsGehan Boteju, Leon Tang, Michael Scott Brown. 8633-8636 [doi]
• Music Copyright Infringement Detection via Heterogeneous Attention NetworkSukbeom Chang, Hyeonsu Seong, Joo Hee Oh. 8637-8639 [doi]
• An Empirical Study on the Power Consumption of LLMs with Different GPU PlatformsZhen Chen, Weiran Lin, Xinyu Xie, Yaodong Hu, Chao Li, Qiaojuan Tong, Yinjun Wu, Shuangshou Li. 8640-8642 [doi]
• Tensor Decision Trees For High-Resolution Imaging DataZhihao Chen, Hengrui Luo, Suprateek Kundu, Marina Vannucci. 8644-8646 [doi]
• Moral Instruction Fine Tuning for Aligning LMs with Multiple Ethical PrinciplesJongchan Choi, Mingyu Kim, Sungju Lee. 8647-8649 [doi]
• Comparative Study of ML Techniques for Misinformation Detection in War ReportingEmily Ebalo, Faryaneh Poursardar. 8650-8652 [doi]
• Data-Driven Anomaly Detection in Smart-Railways through Self-Adaptation, Process Mining, and Digital TwinsFrancesco Flammini. 8653-8657 [doi]
• Introducing the Converse k-clustering ProblemByron J. Gao. 8658-8660 [doi]
• An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health DataSoheil Hashtarkhani, Shelley White-Means, Sam Li, Rezaur Rashid, Fekede Kumsa, Cindy Lemon, Lluvia Chipman, Jill Dapremont, Brianna White, Arash Shaban-Nejad. 8661-8664 [doi]
• Performance Evaluation of Multi-Contrast Dixon MRI and CT for Abdominal Fat and Muscle Segmentation Using a UNet CNNAndrew Heller, Andrew Liu, Lin-Ching Chang, Gregg Cohen, Elizabeth C. Jones, Li-yueh Hsu. 8665-8667 [doi]
• Advancing Risk and Quality Assurance: A RAG Chatbot for Improved Regulatory ComplianceLars Hillebrand, Armin Berger, Daniel Uedelhoven, David Berghaus, Ulrich Warning, Tim Dilmaghani Khameneh, Bernd Kliem, Thomas Schmid, Rüdiger Loitz, Rafet Sifa. 8668-8670 [doi]
• Knowledge Injection of Structural CyberSecurity Concept into Large Language ModelsTung-Jui Hsieh, Yun-Cheng Yao, Shun-Wen Hsiao. 8671-8673 [doi]
• EVRACE: Enhanced Visual Retrieval and Analysis for Large-Scale E-Bike Charging Curve ExplorationSaisai Hu, Ji Zhang, Zhao Li, Donghui Ding, Dong Liu, Zhijun Pan, Jiale Dong. 8674-8676 [doi]
• Agentic AI for Improving Precision in Identifying Contributions to Sustainable Development GoalsWilliam A. Ingram, Bipasha Banerjee, Edward A. Fox. 8677-8679 [doi]
• Big Data-Driven Computational Aptamer Design Framework via Parallel Monte Carlo Tree SearchJinglin Jian, Zhiheng Jiao, Zihan Li, Jin Chen. 8680-8684 [doi]
• Communication-Efficient Distributed LLM Training with Adaptive Traffic ControlHaoying Jin. 8685-8687 [doi]
• Leveraging Data-Driven Innovation and Digital Technologies for Sustainable Transformation in Urban Disaster Risk ManagementSaebom Jin. 8688-8690 [doi]
• EMG-TransNN-MHA: A Transformer-Based Model for Enhanced Motor Intent Recognition in Assistive RoboticsJoel Aikkarakudiyil Joby, Pascal Sikorski, Tipu Sultan, Hadi Ali Akbarpour, Flavio Esposito, Madi Babaiasl. 8691-8693 [doi]
• Machine Learning-Based Correlation Analysis of Fuel Consumption and Automobile Air Conditioning System UsageLaila Miles Kaddoura, Alexis Fernandez, Erin Brown, Neha Ananthavaram, Taehyung Wang. 8694-8696 [doi]
• Real-Time Prediction of Residents' ADL using Asynchronous Multivariables Time-series SignalsHomin Kang, Cheolhwan Lee, Soon-Ju Kang. 8697-8699 [doi]
• Effective and Lightweight Surface Defect Detection via Enhanced Deep Learning ModelsKenny Pierrot Kayanzari, Hongzhou Li, Ji Zhang. 8700-8702 [doi]
• Adaptive Benchmarking for Data System using LLMsMohamed Khalefa. 8703 [doi]
• Enhancing Out-Of-Vocabulary Word Representations with Large Language ModelsMingyu Kim, Sungju Lee, Jongchan Choi. 8704-8706 [doi]
• Leveraging BERT and Network-Based Attention Analysis for Identifying Treatment Milestones in EHRsMinsu Kim, Sol Kim, Byung Park. 8707-8709 [doi]
• Embedding-based Entity Expansion for Data Augmentation in Materials ScienceSuHo Kim. 8710-8712 [doi]
• Materials-aware Entity Augmentation for Continued Pre-training in Materials ScienceSangyun Kim. 8713-8715 [doi]
• A Study on Barrier-Free Entrance Object Detection Using Deep Learning in Street View ImageryHyejin Kim, Seula Park, Jiyoung Kim. 8716-8718 [doi]
• 3-D land use index: Vertical land use analysis based on multi-dimensional geospatial data cubeJiyoung Kim, Hyojoong Kim. 8719-8721 [doi]
• Transportation Card Data Analysis for Ride-Hailing Demand Estimation in Urban AreaDongju Kim, Euiseok Hwang, Jae Hyuk Choi, Hyunsup Kim. 8722-8724 [doi]
• Corporate Governance, Tunneling, and their Predictive Power for CSR and Market Performance: A Machine Learning ApproachHyunsu Kim, Sanghee Kim, Yubin Ham, Hyeseo Yoon, JooHee Oh, Seontae Kim. 8725-8727 [doi]
• Similarity-based Filtering for Defending Against Malicious Clients in Federated LearningYunseong Kim, Seunghyun Yoon. 8728-8730 [doi]
• Leveraging Graph Clustering for Differentially Private Graph Neural NetworksSager Kudrick, Renata Dividino. 8731-8733 [doi]
• Log Sculptor: Making Logs Great AgainAditya Kulkarni, Prathit Mehta, Ravi Kumar Singh, Mayank Mishra, Shruti Kunde, Rekha Singhal, Manoj Nambiar 0001. 8734-8736 [doi]
• Energy-efficient Federated Learning with Dynamic Model Size AllocationM. S. Chaitanya Kumar, Sai Satya Narayana J, Yunkai Bao, Xin Wang, Steve Drew 0001. 8737-8741 [doi]
• Development of KARI-MT-InSAR Tool for Highly-Efficient Surface Deformation Monitoring Using Large-Scale SAR DataSeung Jae Lee 0002, Sung Ho Chae. 8742-8744 [doi]
• Enhancing EV Charging Demand Forecasting for Highway Rest Area Stations: Integrating Day Type, Traffic Volume, and Weather ConditionsYeaeun Lee, Byeongchang Kim, Dongju Kim, Euiseok Hwang, Jaehyuk Choi, Hyunsup Kim. 8745-8747 [doi]
• Forecasting Nutrient Flows using Terrain Elevation-aware Spatial-Temporal Graph Neural NetworksJiaqi Li, Yinghui Wu, Alexandar Harding Bradley, Olatunde Akanbi, Erika I. Barcelos, Laura S. Bruckman, Roger H. French. 8748-8750 [doi]
• Data Imbalance Solutions Using Pseudo-Cluster and Two-Step Classification MethodsGawon Lim. 8751-8753 [doi]
• Firefighting: Applying Deep Learning Algorithms for Real-time Fire DetectionAaron Linder, Debzani Deb. 8754-8756 [doi]
• A novel framework for join order selection based on reinforcement and representation learningChang Liu, Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli. 8757-8761 [doi]
• Cross-Modality Validation of Abdominal Fat and Muscle Segmentation: A Comparative Study of Dixon MR and CT ImagingAndrew Liu, Andrew Heller, Gregg Cohen, Elizabeth C. Jones, Li-yueh Hsu. 8762-8764 [doi]
• Exploring the Semantic Representations of Text in Subspaces of Latent Space: A Case Study on ColorYung-Fu Lo, Shun-Wen Hsiao. 8765-8767 [doi]
• Downscaling Precipitation with Bias-informed Conditional Diffusion ModelRan Lyu, Linhan Wang, Yanshen Sun, Hedanqiu Bai, Chang-Tien Lu. 8768-8770 [doi]
• DISH4U A Crowd Source App for Guiding Users Towards Healthy FoodTuomas Määttä, Eetu Holmi, Mehrdad Rostami, Mourad Oussalah 0002. 8771-8773 [doi]
• Causal Tracing to Identify Hacking Knowledge in Large Language ModelsRyan Marinelli. 8774-8776 [doi]
• Revealing Universities' Atmosphere from Visitor Interests Using Search Queries and GPS LogsKaoru Miyanaga, Soto Anno, Kota Tsubouchi, Masamichi Shimosaka. 8777 [doi]
• Mining Satellite Imagery for Offshore Wind EnergyCristian Noriega Monsalve, Aparna S. Varde. 8778-8780 [doi]
• A Knowledge Graph Framework for Organizing Heterogeneous Datasets for Utilization in Classical and Quantum Computing: Current Challenges and Future DirectionsThilanka Munasinghe, Kimberly A. Cornell, Jennifer. C. Wei, George Berg, James A. Hendler. 8781-8785 [doi]
• Integrating Demand Hotspots and Adjusted Spatial Indexing for Urban Taxi Demand PredictionRestu Nugroho, Irene Erlyn Wina Rachmawan, Prananda Kamaluddin Rafif, Ferrizal. 8786-8789 [doi]
• Fine-Tuning Large Language Models for Compliance ChecksThiago Bell, David Leonhard, Ali Hamza Bashir, Tim Dilmaghani Khameneh, Mohamed Khaled, Ulrich Warning, Rüdiger Loitz, Sandra Halscheidt, Jana Birr, Armin Berger, Rafet Sifa, David Berghaus. 8790-8792 [doi]
• A New Perspective for the Study of "Five Thousand Years of Chinese History ": Visual Analysis of Single Text and Time Series TextYiting Pan. 8793-8797 [doi]
• Pruned Graph Neural Networks for Efficient Edge Classification and Fast InferenceHenry Paschke, James Gaboriault-Whitcomb, Carson Zoccole, Alina Lazar. 8798-8800 [doi]
• Insights About Causality Detection in Financial Text - Towards an Informed ApproachMaren Pielka, Rafet Sifa. 8801-8804 [doi]
• Emerging Trends in LLM BenchmarkingAkshar Prabhu Desai, Ritu Prajapati, Tejasvi Ravi, Mohammad Luqman, Pranjul Yadav. 8805-8807 [doi]
• Zero-Shot Learning for Code Explanation Using LLMAnika Tasnim Preoty, Matti Niemisto, Mourad Oussalah. 8808-8810 [doi]
• ASPIRE: A Multi-Agent Framework for Execution-Free Code Analysis and RepairBuvaneswari A. Ramanan, Manzoor A. Khan, Abhinav Rao. 8811-8813 [doi]
• AI-Ready Multimodal Data Pipeline to Enrich Cancer CareRezaur Rashid, Soheil Hashtarkhani, Fekede Asefa Kumsa, Lokesh K. Chinthala, Brianna M. White, Janet A ZinK, Christopher L. Brett, Robert L. Davis, David L. Schwartz, Arash Shaban-Nejad. 8814-8818 [doi]
• DISCERN for Generalizable Robotic ContextsSwagnik Roychoudhury, Aparna S. Varde. 8819-8821 [doi]
• Trust-centric Big Data Ecosystem: An Ethical Framework in Autonomous DrivingJimin Ryu, Yong-Ik Yoon 0001. 8822-8824 [doi]
• Toward Automatically Improving Metadata Quality of Electronic Theses and Dissertations at ScaleLamia Salsabil, Jian Wu 0006, William A. Ingram, Edward A. Fox. 8825-8827 [doi]
• Spatial Big Data Infrastructure for the Japanese Hyper-spectral Imager SUIte (HISUI) based on World Grid Square StatisticsAki-Hiro Sato. 8828-8830 [doi]
• A Deep Dive into Vector Stores: Classifying the Backbone of Retrieval-Augmented GenerationRichard Shan. 8831-8833 [doi]
• Ethernet-Based Memory Expansion with Cache-coherent Architecture for Disaggregated Memory SystemsSong-Woo Sok, Young-Woo Kim, Hyuk-Je Kwon, Jinmee Kim, Hag-Young Kim, Kang-ho Kim, Seung-Jun Cha. 8834-8836 [doi]
• Event-driven Rerouting Framework for Agent Behavior in Urban Traffic SimulationHyewon Song, Moonyoung Chung. 8837-8839 [doi]
• Exploring an Embodied Conversation Agent to Act as an Empathetic Doctor for use in TelehealthWilliam Starling, Kolitha Warnakulasooriya, Aviv Segev. 8840-8842 [doi]
• Automated Estimation of Left Myocardial Strain from Cine CTA: A Comparison with Cine MRIAn-Yu Sun, Li-yueh Hsu, Lin-Ching Chang, W. Patricia Bandettini, Marcus Y. Chen. 8843-8845 [doi]
• Deploy-Efficient and Fast Network Probing with Time-Series Foundation ModelsRasman Mubtasim Swargo, Md. Arifuzzaman. 8846-8848 [doi]
• Power Outage Forecasting for System Resiliency during Extreme Weather EventsAnika Tabassum, SangKeun Lee 0001, Narayan Bhusal, Supriya Chinthavali. 8849-8851 [doi]
• Classifying Upper Extremity Motor Function Using Deep Learning and Third-Person Video DataTan Tran, Lin-Ching Chang, Peter S. Lum. 8852-8854 [doi]
• Table Structure Recognition via Encoder/Decoder Vision TransformersDaniel Uedelhoven, Max Lübbering, Christian Bauckhage, Rafet Sifa. 8855-8858 [doi]
• Paediatric Pneumonia chest X-ray image classification with association to Lung cancer disease using ResNet50 Deep Learning ModelDaniel F. O. Onah, Hamde Risak Warsame. 8859-8861 [doi]
• OncoPrint++: An Enhanced OncoPrint Beyond Data Visualization for Clinical Bioinformatics and GenomicsShiquan Wu, Kwangbom Choi, Paul Jung, Jifeng Qian, Paul Hiser, Melih Acar, Edith Szafer Glusman, Leo Wang-Kit Cheung. 8862-8864 [doi]
• Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a NecessityAviv Yehezkel, Eldad Ohayon, Eyal Elyashiv. 8865-8867 [doi]
• Improving Neural Networks Dropout Using An Enhanced Weights ScalingAviv Yehezkel. 8868-8870 [doi]
• Smartphone Usage Data Cleaning Using LLM-Based ProcessingMehdi Zaeifi, Beiyu Lin. 8871-8873 [doi]
• LiveDataLab: A Cloud-based Open Lab for Integrating Big Data Research, Education, and ApplicationsChengXiang Zhai. 8874-8878 [doi]
• MycorrhiSEE: a High-Resolution Image Dataset for Deep Learning Based Quantification of Arbuscular Mycorrhizal FungiShufan Zhang, Thirimachos Bourlai, Jonathan Arnold. 8879-8881 [doi]
• From Graph Paths to Natural Language: Enhancing LLM Reasoning for Multi-choice Question-Answering TasksHongzhi Zhang, M. Omair Shafiq. 8882-8884 [doi]