Table of Contents

• Character-based Outfit Generation with Vision-augmented Style Extraction via LLMsNajmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai, Ramin Giahi, Luyi Ma, Nima Farrokhsiar, Jianpeng Xu, Evren Körpeoglu, Kannan Achan. 1-7 [doi]
• The Data Systems Grammar: Self-designing Systems for the era of AIStratos Idreos. 1 [doi]
• Graph-Based Approach for European Law ClassificationRaffaele Russo, Giuliano Di Giuseppe, Alessandro Vanacore, Valerio La Gatta, Antonino Ferraro, Antonio Galli, Marco Postiglione, Vincenzo Moscato. 1-9 [doi]
• Towards organizational change: a framework for evaluating trends and approaches in Gender Equality PlansGreta Temporin, Alessandra Colombelli. 1-8 [doi]
• A Supervised Autoencoder for Human Activity Recognition with Inertial SensorsJaehyuk An, Younghoon Kwon, Yoon-Sik Cho. 1-5 [doi]
• Predictive Precision: LSTM-Based Analytics for Real-time Stock Market VisualizationVijayalakshmi Saravanan, Acharya Pramod, Laxman Poudel, Praveen Paramasivam. 1-6 [doi]
• An Interactive Framework of Balancing Evaluation Cost and Prediction Accuracy for Knowledge TracingWeili Sun, Boyu Gao 0003, Jiahao Chen 0006, Shuyan Huang, Weiqi Luo 0002. 1-8 [doi]
• Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge GraphsFatimah Alotaibi, Dawei Zhou. 1-5 [doi]
• Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental ChallengesVipin Kumar 0001. 2 [doi]
• GPU Acceleration for Data Processing and AnalyticsQiong Luo 0001. 3 [doi]
• Have your data and share it too: Private data analytics at scaleGarofalakis Minos. 4 [doi]
• Big-Data Algorithms That Are Not Machine LearningJeffery Ullman. 5 [doi]
• Solving Tensor Low Cycle Rank ApproximationYichuan Deng 0002, Yeqi Gao, Zhao Song 0002. 6-16 [doi]
• Subspace Interpolation and Indexing on Stiefel and Grassmann Manifolds as a Lightweight Inference EngineWenqing Hu, Tiefeng Jiang, Birendra Kathariya, Vikram Abrol, Jiali Zhang, Zhu Li. 17-26 [doi]
• Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal ApproachWen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou. 27-36 [doi]
• CoMABO: Covariance Matrix Adaptation for Bayesian OptimizationHsiang-Yu Ku, Che-Rung Lee. 37-45 [doi]
• Dynamic Mining Interval to Improve Blockchain ThroughputHou-Wan Long, Xiongfei Zhao, Yain-Whar Si. 46-55 [doi]
• Online Adaptive Mahalanobis Distance EstimationLianke Qin, Aravind Reddy, Zhao Song 0002. 56-65 [doi]
• Efficiently Mining Frequent Representative Motifs in Large Collections of Time SeriesStijn J. Rotman, Boris Cule, Len Feremans. 66-75 [doi]
• Compact Boundary Matrix from a Polytopal Complex for Computing Persistent HomologyRohit P. Singh, Philip A. Wilsey. 76-85 [doi]
• Time-varying QoS Estimation via Non-negative Latent Factorization of Tensors with Extended Linear BiasesXiuqin Xu, Mingwei Lin, Wenqiang Li, Jianpeng Zhang, Hao Wu. 86-95 [doi]
• Big Data Management System Architectures: From Opportunities to Challenges [Vision]Radhika Joshi, Calvin Thomas Dani, Shiva Jahangiri. 96-101 [doi]
• Ocean Data Quality Assessment through Outlier Detection-enhanced Active LearningNa Li, Yiyang Qi, Ruyue Xin, Zhiming Zhao. 102-107 [doi]
• Verifying Relational Explanations: A Probabilistic ApproachAbisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal. 108-115 [doi]
• Vision Paper: Hyperspectral Analysis of Finger Skin Reflectance for Resilient Biometric SystemsEmanuela Marasco. 116-120 [doi]
• KF K-means: A High Performance K-means Implementation using Kernel FusionKaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen. 121-127 [doi]
• Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network TrainingLianke Qin, Saayan Mitra, Zhao Song 0002, Yuanyuan Yang 0005, Tianyi Zhou 0002. 128-133 [doi]
• Quality Ranking for Synthetically Generated ImagesAli Sekmen, Bahadir Bilgin, Guy Sereff. 134-138 [doi]
• HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised TrainingNawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott Shearer, Dhabaleswar K. Panda 0001. 139-148 [doi]
• Computing Group-By and Aggregates on Massively Parallel SystemsChengcheng Mou, Minh Pham, Benjamin Hsu, Yicheng Tu. 149-158 [doi]
• User-guided Page Merging for Memory Deduplication in Serverless SystemsWei Qiu, Marcin Copik, Yun Wang, Alexandru Calotoiu, Torsten Hoefler. 159-169 [doi]
• PieRank: Embedded Large-Scale Sparse Matrix ProcessingMichelle S. Zhou. 170-181 [doi]
• Predicting Dynamic Memory Requirements for Scientific Workflow TasksJonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao. 182-189 [doi]
• Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper)Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque. 190-195 [doi]
• Towards Open World Event Processing: A Paradigm and Research Agenda for Event Processing for the Internet of Multimedia Things (Vision Paper)Edward Curry. 196-200 [doi]
• ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and ProcessingEduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas. 201-206 [doi]
• Co-Tuning of Cloud Infrastructure and Distributed Data Processing PlatformsIsuru Dharmadasa, Faheem Ullah. 207-214 [doi]
• On Overcoming HPC Challenges of Trillion-Scale Real-World Graph DatasetsMohsen Koohi Esfahani, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, Sebastiano Vigna. 215-220 [doi]
• Distributed Quantum Learning with co-Management in a Multi-tenant Quantum SystemAnthony D'Onofrio Jr., Amir Hossain, Lesther Santana, Naseem Machlovi, Samuel Stein, Jinwei Liu, Ang Li, Ying Mao. 221-228 [doi]
• Scientific Error-bounded Lossy Compression with Super-resolution Neural NetworksJinyang Liu, Sheng Di, Sian Jin, Kai Zhao 0008, Xin Liang 0001, Zizhong Chen, Franck Cappello. 229-236 [doi]
• Sailfish: A Dependency-Aware and Resource Efficient Scheduling for Low Latency in CloudsJinwei Liu, Yingjie Lao, Ying Mao, Rajkumar Buyya. 237-246 [doi]
• Performance of Null Handling in Array DatabasesDimitar Misev, Mikhail Rodionychev, Peter Baumann 0001. 247-254 [doi]
• Accelerating Multilingual Applications with In-memory Array SharingMasanobu Nozawa, Satoshi Imamura, Kenji Kono. 255-262 [doi]
• gSPICE: Model-Based Event Shedding in Complex Event ProcessingAhmad Slo, Sukanya Bhowmik, Kurt Rothermel. 263-270 [doi]
• Forgetting User Preference in Recommendation Systems with Label-FlippingManal A. Alshehri, Xiangliang Zhang 0001. 271-281 [doi]
• On-Street Parking Prediction: A Comparative StudyStefano Fiorini, Michele Ciavotta, Carlo Liberto, Gaetano Valenti. 282-291 [doi]
• Detecting Semantic Errors in Tables using Textual EvidenceMinh Pham 0004, Craig A. Knoblock, Muhao Chen. 292-303 [doi]
• TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural NetworkShen Wang 0005, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu. 304-314 [doi]
• Large-scale User Preference Tracking via Asynchronous and Asymmetric Updating at TwitterGa Wu, Shivam Khare, Li Zhou, Yael Brumer, Jun-Ping Ng, Ruowei Wang. 315-324 [doi]
• Multiloss-Based Optimization for Time Series Data AugmentationOmar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi. 325-330 [doi]
• Efficient Missing Value Imputation by Maximum Distance LikelihoodSavong Bou, Toshiyuki Amagasa, Hiroyuki Kitagawa, Salman Ahmed Shaikh, Akiyoshi Matono. 331-338 [doi]
• Self-configured Entity Resolution with pyJedAIVasilis Efthymiou, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis 0001, Dimitris Skoutas, Yannis Velegrakis, Alexandros Zeakis. 339-343 [doi]
• A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire PredictionParveen Kaur, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Chung-Horng Lung, Marzia Zaman, Abdul Mutakabbir. 344-351 [doi]
• Leveraging Uncertainty Quantification for Reducing Data for Recommender SystemsXi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu. 352-359 [doi]
• Multi-layer Caching and Parallel Streaming for Large Scale Cloud Optimized Point Cloud Data Visualization using WebGPUPravin Poudel, Will Usher 0001, Steve Petruzza. 360-365 [doi]
• An Analysis of Combined Data Augmentation in Time Series Prediction Tasks Using Discrete Wavelet Multilevel DecompositionYuewen Shen, Xinhao Yang, Jiayu Zhao, Ze Li. 366-371 [doi]
• Fine-Grained Urban Population Distribution Estimation Using Image Super-Resolution Model with Rich Auxiliary InformationNaoto Takeda, Akihiro Kobayashi, Yudai Yamazaki, Daisuke Kamisaka. 372-376 [doi]
• Dual-Path Side Information Fusion for Sequential RecommendationYu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li. 377-382 [doi]
• A Scalable Approach to Aligning Natural Language and Knowledge Graph Representations: Batched Information Guided Optimal TransportAlexander Kalinowski, Deepayan Datta, Yuan An. 383-392 [doi]
• Group-Aware Interest Disentangled Dual-Training for Personalized RecommendationXiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li 0001, Mingdai Yang, Chen Wang, Philip S. Yu. 393-402 [doi]
• Cross-Domain Fake News Detection Based on Coarse-Fine Grained Environments Reflecting Public ExpectationGuoJun Liu, Yuefeng Ma, Xun Liang. 403-412 [doi]
• Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 DiscussionsAshwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, Kristina Lerman. 413-422 [doi]
• Discovery and Matching Numerical Attributes in Data LakesPattara Sukprasert, Gromit Yeuk-Yin Chan, Ryan A. Rossi, Fan Du, Eunyee Koh. 423-432 [doi]
• MERMAID: A Dataset and Framework for Multimodal Meme Semantic UnderstandingShaun Toh, Adriel Kuek, Wen Haw Chong, Roy Ka-Wei Lee. 433-442 [doi]
• Sketching Multidimensional Time Series for Fast Discord MiningChin-Chia Michael Yeh, Yan Zheng 0001, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, JunPeng Wang, Liang Wang 0047, Wei Zhang 0189, Jeff M. Phillips, Eamonn J. Keogh. 443-452 [doi]
• Multi-State Brain Network DiscoveryHang Yin, Yao Su 0003, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong. 453-462 [doi]
• Social Event Detection with Reinforced Deep Heterogeneous Graph Attention NetworkYongsheng Yu, Jia Wu, Jian Yang. 463-472 [doi]
• ID-MixGCL: Identity Mixup for Graph Contrastive LearningGehang Zhang, Bowen Yu 0002, Jiangxia Cao, Xinghua Zhang 0001, Jiawei Sheng, Chuan Zhou 0001, Tingwen Liu. 473-482 [doi]
• Dual-Teacher Knowledge Distillation for Strict Cold-Start RecommendationWeizhi Zhang, Liangwei Yang, Yuwei Cao, Ke Xu, Yuanjie Zhu, Philip S. Yu. 483-492 [doi]
• SuperBlocking: An Efficient Blocking Technique for Record LinkageJoyanta Basak, Sartaj Sahni, Sanguthevar Rajasekaran. 498-503 [doi]
• Chain-Based Outlier Detection for Complex Data ScenariosHuiwen Dong, Qing-Guo Wang, Wei Ding. 504-509 [doi]
• Mining Large-Scale Knowledge Graphs for Chemical Reaction FingerprintsBlake B. Gaines, Minghu Song, Jinbo Bi. 510-515 [doi]
• Constructing Knowledge Graph from Cyber Threat Intelligence Using Large Language ModelJiehui Liu, Jieyu Zhan. 516-521 [doi]
• Maximum Flow on Highly Dynamic GraphsJuntong Luo, Scott Sallinen, Matei Ripeanu. 522-529 [doi]
• Increase Merge Efficiency in LSM Trees Through Coordinated Partitioning of Sorted RunsQizhong Mao, Vagelis Hristidis. 530-535 [doi]
• PSQS: Parallel Semantic Querying Service for Self-describing File FormatsChenxu Niu, Wei Zhang, Suren Byna, Yong Chen 0001. 536-541 [doi]
• Efficient Estimation of Local Causal Effects in Graphs via Neighborhood PoolingRyan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed. 542-547 [doi]
• Integrating Noisy Knowledge into Language Representations for E-Commerce ApplicationsKaran Samel, Jun Ma, Zhengyang Wang, Tong Zhao, Irfan Essa. 548-553 [doi]
• CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural NetworksHaozhe Tian, Haibo Hu 0001, Qingqing Ye 0001. 554-561 [doi]
• k-bitruss-Attributed Weighted Community Search on Attributed Weighted Bipartite GraphsZuxuan Zhang, Hongxi Li, Kai Huang, Yuncheng Jiang. 562-567 [doi]
• An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data StreamsAarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal. 568-577 [doi]
• NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level EmotionAdemola Adesokan, Sanjay Madria. 578-587 [doi]
• mTADS: Multivariate Time Series Anomaly Detection Benchmark SuitesDavid Baumgartner, Helge Langseth, Heri Ramampiaro, Kenth Engø-Monsen. 588-597 [doi]
• Improving Knowledge Distillation for Federated Learning on Non-IID DataZongyi Chen, Sanchuan Guo, Liyan Shen, Xi Zhang, Zhuonan Chang. 598-607 [doi]
• Difforecast: Image Generation Based Highway Traffic Forecasting with Diffusion ModelPengnan Chi, Xiaoliang Ma. 608-615 [doi]
• WellFactor: Patient Profiling using Integrative Embedding of Healthcare DataDongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park. 616-625 [doi]
• Density-Based Prototypical Contrastive Learning on Visual RepresentationsYueh-Lin Chung, Hsing-Kuo Pao. 626-635 [doi]
• Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence ClassificationZhongfen Deng, Seunghyun Yoon 0002, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu 0002, Wenting Zhao 0006, Tao Zhang, Yibo Wang, Philip S. Yu. 636-645 [doi]
• Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-EncoderTomojit Ghosh, Michael Kirby. 646-655 [doi]
• Interactive Visualization for Smart Power Grid Efficiency and Outage ExplorationDongyun Han, Isaac Cho. 656-661 [doi]
• Striking a Balance in Fairness for Dynamic Systems Through Reinforcement LearningYaowei Hu 0001, Jacob Lear, Lu Zhang. 662-671 [doi]
• Adaptive Shrinkage Denoising and Sequential State Extraction Model for Vibration Event RecognitionWanchang Jiang, Yuxin Jiang. 672-679 [doi]
• Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated LearningYuhui Jiang, Xingjian Lu, Wei Mao, Ying Li 0001. 680-689 [doi]
• Towards cost-effective and resource-aware aggregation at Edge for Federated LearningAhmad Faraz Khan 0001, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng 0001, Ali Raza Butt, Ali Anwar 0001. 690-699 [doi]
• Spatial-Temporal Dynamic Graph Diffusion Convolutional Network for Traffic Flow ForecastingYang Li, Yaying Zhang. 700-709 [doi]
• RSP-gcForest: A Distributed Deep Forest via Random Sample PartitionMark Junjie Li, Wenzhu Cai, Yigang Lin, Sunjie Huang, Joshua Zhexue Huang, Patrick Xiaogang Peng. 710-717 [doi]
• CELS: Counterfactual Explanations for Time Series Data via Learned Saliency MapsPeiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi. 718-727 [doi]
• SEED: An Effective Model for Highly-Skewed Streamflow Time Series Data ForecastingYanhong Li, Jack Xu, David C. Anastasiu. 728-737 [doi]
• Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial ImagesLing-Feng Liao, Deeksha Arya, Yoshihide Sekimoto. 738-747 [doi]
• Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential EquationsSeonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi 0002, Noseong Park. 748-757 [doi]
• Semi-supervised 3D Video Information Retrieval with Deep Neural Network and Bi-directional Dynamic-time Warping AlgorithmYintai Ma, Diego Klabjan. 758-767 [doi]
• Scalable Homology Classification through Decomposed Euler Characteristic CurvesNicholas O. Malott, Philip A. Wilsey. 768-777 [doi]
• Heterogeneous Domain Adaptation with Positive and Unlabeled DataJunki Mori, Ryo Furukawa 0003, Isamu Teranishi, Jun Sakuma. 778-787 [doi]
• Generalized Causal Tree for Uplift ModelingPreetam Nandy, Xiufan Yu, Wanjun Liu, Ye Tu, Kinjal Basu 0001, Shaunak Chatterjee. 788-798 [doi]
• Multi-view Deep Markov Models for Time Series Anomaly DetectionPhuong Nguyen, Hiep Tran, Tuan M. V. Le. 799-808 [doi]
• A novel training mechanism for health indicator construction and remaining useful lifetime (RUL) predictionHanbyeol Park, Dohee Kim, Minseop Kim, Mingyu Park, Hyerim Bae, Yunkyung Park. 809-818 [doi]
• Hybrid Loss for Hierarchical Multi-label Classification NetworkWenting Qi, Charalampos Chelmis. 819-828 [doi]
• OrthoNets: Orthogonal Channel Attention NetworksHadi Salman, Caleb Parks, Matthew Swan, John Gauch. 829-837 [doi]
• SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerceKaran Samel, Houyu Zhang, Jun Ma 0029, Haoming Jiang, Qing-ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi. 838-846 [doi]
• Interpretable Sock Puppet AttributionChun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee. 847-856 [doi]
• Multi-Instance Bias Suppression for Enhanced Generalization in Breast Cancer Diagnosis : Harnessing Histopathological Big Data InsightsSyed Attique Shah, Xiaoyang Zeng, Awais Ahmed, Shaheed Parvez, Rui Xi, Mengshu Hou. 857-864 [doi]
• ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network ApproachKonstantinos Sotiropoulos, Lingxiao Zhao, Pierre Jinghong Liang, Leman Akoglu. 865-874 [doi]
• Leveraging Large Language Models for Structure Learning in Prompted Weak SupervisionJinyan Su, Peilin Yu, Jieyu Zhang, Stephen H. Bach. 875-884 [doi]
• ABF-FNN: A new fuzzy neural network for predicting coal mine gas concentration hazardYiMin Sun, Xiaobo Zhang, Zhehao Zhang, Yunyang Wu, Haihao Tang, Haonan Luo. 885-894 [doi]
• RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact PredictionYanshen Sun, Kaiqun Fu, Chang-Tien Lu. 895-904 [doi]
• Scalable Volume Visualization for Big Scientific Data Modeled by Functional ApproximationJianxin Sun, David Lenz, Hongfeng Yu 0001, Tom Peterka. 905-914 [doi]
• Unvisited Out-Of-Town POI Recommendation with Simultaneous Learning of Multiple RegionsRikuto Tsubouchi, Takahiro Hara, Kei Yonekawa, Shuichiro Haruta. 915-924 [doi]
• Flexible Communication for Optimal Distributed Learning over Unpredictable NetworksSahil Tyagi, Martin Swany. 925-935 [doi]
• IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action RecognitionQingtian Wang, Shuze Shi, Jiabin He, Jianlin Peng, Tingxi Liu, Renliang Weng. 936-945 [doi]
• A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in Item CategorizationTianqi Wang, Lei Chen, Jing Gao. 946-955 [doi]
• GNN-Ensemble: Towards Random Decision Graph Neural NetworksWenqi Wei, Mu Qiao, Divyesh Jadav. 956-965 [doi]
• *Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou 0001. 966-975 [doi]
• Ultra-wide Band Positioning with Signal Interference based on Two-Stream Residual NetworkXueming Xu, Ruirui Zhao, Jichao Li, Jianbin Sun. 976-985 [doi]
• Tripletformer for Probabilistic Interpolation of Irregularly sampled Time SeriesVijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme. 986-995 [doi]
• Traffic Demand Prediction Based on Multi-dimensional Graph Convolutional NetworkPeiying Zeng, Liying Jiang, Yongxuan Lai, Fan Yang 0010. 996-1004 [doi]
• Document-Level Event Argument Extraction Based on Bidirectional Span DetectionYong Zhang, Feng Xiong, Kai Zhang, Jiaxian Wang. 1005-1011 [doi]
• Enhancing Representation Learning with Label Association for Multi-Label Text ClassificationWang Zhang, Xin Wang, Yuhong Wu, Xingpeng Zhang, Huayi Zhan. 1012-1021 [doi]
• Label Freedom: Stable Diffusion for Remote Sensing Image Semantic Segmentation Data GenerationChenbo Zhao, Yoshiki Ogawa, Shenglong Chen, Zhehui Yang, Yoshihide Sekimoto. 1022-1030 [doi]
• CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow ForecastingYong Zhuang, David L. Small, Patrick D. Flynn, Wahid Palash, Shafiqul Islam, Ping Chen 0001, Wei Ding 0003. 1031-1038 [doi]
• OLR-WA: Online Weighted Average Linear Regression in Multivariate Data StreamsMohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor Sheng, Ishfaq Ahmad. 1039-1046 [doi]
• Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and OpportunitiesLeman Akoglu, Jaemin Yoo. 1047-1051 [doi]
• M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal DataGrigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier. 1052-1058 [doi]
• Learning with Variational Objectives on MeasuresVivien Cabannes. 1059-1063 [doi]
• Improve interpretability of Information Bottlenecks for Attribution with Layer-wise Relevance PropagationXiongren Chen, Jiuyong Li, Jixue Liu, Stefan Peters, Lin Liu 0003, Thuc Duy Le, Anthony Walsh. 1064-1069 [doi]
• Toward Efficient and Incremental Spectral Clustering via Parametric Spectral ClusteringJo-Chun Chen, Hung-Hsuan Chen. 1070-1075 [doi]
• Hypergraph Neural Networks for Time-series ForecastingHongjie Chen, Ryan A. Rossi, Kanak Mahadik, SungChul Kim, Hoda Eldardiry. 1076-1080 [doi]
• Federated Learning for Sparse Principal Component AnalysisSin Cheng Ciou, Pin-Jui Chen, Elvin Y. Tseng, Yuh-Jye Lee. 1081-1086 [doi]
• JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value ExtractionZhongfen Deng, Hao Peng, Tao Zhang, Shuaiqi Liu 0002, Wenting Zhao 0006, Yibo Wang, Philip S. Yu. 1087-1094 [doi]
• Drift-aware Anomaly Detection for Non-stationary Time SeriesYang Gao 0001, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen. 1095-1100 [doi]
• Autoencoders and Generative Adversarial Networks for Imbalanced Sequence ClassificationStephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan. 1101-1108 [doi]
• Cohesive Attention-Based Explanations for Sequences and Explainability in Presence of Event TypesStephanie Ger, Yegna Subramanian Jambunath, Diego Klabjan, Jean Utke. 1109-1116 [doi]
• LogGPT: Log Anomaly Detection via GPTXiao Han 0008, Shuhan Yuan, Mohamed Trabelsi. 1117-1122 [doi]
• Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning ApproachQisheng He, Ming Dong. 1123-1128 [doi]
• Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based ApproachQisheng He, Weisong Shi, Ming Dong 0001. 1129-1134 [doi]
• Causal Associations between Temporal EventsNguyen Ho, Trinh Cong Le, Van Long Ho, Nguyen Tuong Huynh, Linh Ngo. 1135-1142 [doi]
• Quantitatively Evaluating the Validity of Contrastive Generators for RecourseIan Howell, Eleanor Quint, Hongfeng Yu 0001. 1143-1150 [doi]
• Contrastive Multi-view Learning for Graph Stucture LearningKai Huang, Dengzhe Liang, He Wang, Yuncheng Jiang. 1151-1156 [doi]
• Deep Learning for Spatiotemporal Big Data: Opportunities and Challenges [Vision Paper]Zhe Jiang. 1157-1161 [doi]
• Temporal Knowledge Graph Question Answering Models Enhanced with GATWenjuan Jiang, Yi Guo, Jiaojiao Fu. 1162-1167 [doi]
• RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensingAaditi Kapre, Shruti Kunde, Sparsh Mittal, Rekha Singhal. 1168-1173 [doi]
• Label Hierarchy Alignment for Improved Hierarchical Text ClassificationAshish Kumar, Durga Toshniwal. 1174-1179 [doi]
• CTT: Causally Informed Tensor Train DecompositionMao Lin Li, K. Selçuk Candan, Maria Luisa Sapino. 1180-1187 [doi]
• Feature Acquisition Using Monte Carlo Tree SearchSungsoo Lim, Diego Klabjan, Mark Shapiro. 1188-1193 [doi]
• VHGN: Cooperative Multiagent Reinforcement Learning with Historical Information GraphJiahao Liu, Jiale Xu, Haijia Bao, Ya Li. 1194-1199 [doi]
• A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic MatchingHaoyang Ma, Hongyu Guo. 1200-1205 [doi]
• A Robust Classifier under Missing-Not-at-Random Sample Selection BiasHuy Mai, Wen Huang, Wei Du 0009, Xintao Wu. 1206-1213 [doi]
• CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature FusionMd Abu Marjan, Toshiyuki Amagasa. 1214-1221 [doi]
• DISCERN: Leveraging Knowledge Distillation to Generate High Resolution Soil Moisture Estimation from Coarse Satellite DataAbdul Matin, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara. 1222-1229 [doi]
• Optimal sampling for Moving Object Trajectory Tracking in Smart Transportation Systems: A Transformer-based ApproachUsman Shuaibu Musa, Yifan Guo, Cheng Qian, Wei Yu 0002. 1230-1235 [doi]
• Prompting Large Language Models for Topic ModelingHan Wang, Nirmalendu Prakash, Nguyen-Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee. 1236-1241 [doi]
• Ego-Network Transformer for Subsequence Classification in Time Series DataChin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng 0001, Vivian Lai, JunPeng Wang, Zhongfang Zhuang, Liang Wang 0047, Wei Zhang 0189, Eamonn J. Keogh. 1242-1247 [doi]
• Detecting and Classifying Changes in Traffic Rules using Induction Loop DataAziza Zhanabatyrova, Clayton Frederick Souza Leite, Yu Xiao 0001. 1248-1255 [doi]
• Humor Level Recognition Based on Prompt Learning and Contrastive LearningShaoWu Zhang, Xijun Cui, Tongyue Zhang, Hongfei Lin, Liang Yang. 1256-1261 [doi]
• Spatial-Temporal Flow Holistic Interaction Graph Convolution Network for Bidirectional Traffic Flow ForecastingCanyang Zhang, Qi Zheng, Yaying Zhang. 1262-1268 [doi]
• FOCAL: A Cost-Aware Video Dataset for Active LearningKiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan Alregib, Enrique Corona, Kunjan Singh, Mostafa Parchami. 1269-1278 [doi]
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• The Performance of Machine and Deep Learning Algorithms in Detecting Fake ReviewsBharkavi Sachithanandam, Akbar Siami Namin, Faranak Abri. 2499-2507 [doi]
• Exploiting Large Language Models (LLMs) through Deception Techniques and Persuasion PrinciplesSonali Singh, Faranak Abri, Akbar Siami Namin. 2508-2517 [doi]
• An iterative sinogram metal artifact reducdion based on UNetZichong An, Xuemei Zhu, Xiangling Fu, Junqi Ma, Chenyi Guo, Zheng Zhang. 2518-2522 [doi]
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• Proposal of an AI based approach for Urban Traffic Prediction from Mobility DataMariaelena Berlotti, Sarah Di Grande, Salvatore Cavalieri, Vincenza Torrisi, Giuseppe Inturri. 2570-2577 [doi]
• Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario GenerationMichele Carbonera, Michele Ciavotta, Enza Messina. 2578-2587 [doi]
• Charting the Course of Ship Track Prediction: A Novel Approach for Maritime Traffic Analysis and Enhanced Situational AwarenessLubna Eljabu, Mohammad Etemad, Stan Matwin. 2588-2597 [doi]
• ChattSpeed: Toward a New Dataset for Single Camera Visual Speed Estimation for Urban TestbedsYasir Hassan, Mina Sartipi. 2598-2605 [doi]
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• MixPCD: a novel method of constructing driving cycle for electric bus with sparse dataXingxing Wang, Peilin Ye, Yelin Deng, Yinnan Yuan, Yu Zhu, Hongjun Ni. 2639-2647 [doi]
• Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-LearningGabriel Jonas Aguiar, Alberto Cano 0001. 2648-2657 [doi]
• AutoClass: AutoML for Data Stream ClassificationMaroua Bahri, Nikolaos Georgantas. 2658-2666 [doi]
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• Online Closed Episode Mining with Root-Order DecompositionHinano Sako, Yoshitaka Yamamoto. 2683-2689 [doi]
• Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated ModelsElena Tsiporkova, Michiel De Vis, Sarah Klein, Anna Hristoskova, Veselka Boeva. 2690-2699 [doi]
• Trustworthy Medical Operational AI: Marrying AI and Regulatory RequirementsFabian Berns, Georg Zimmermann, Christian Borgelt, Niclas Heilig, Jan Kirchhoff, Florian Stumpe. 2700-2704 [doi]
• Leveraging Deep Learning to Improve COVID-19 Forecasting Using Wastewater Viral LoadMehrdad Fazli, Heman Shakeri. 2705-2713 [doi]
• Leveraging Big Data from Smart Thermostats: A Vision to Evaluate Heatwave Impacts on Sleep Health in the Elderly [Vision Paper]Jasleen Kaur, Vivek Chauhan, Arlene Oetomo, Kang Wang, Plinio P. Morita. 2714-2718 [doi]
• Hyperparameter Tuning of a Deep Learning EEG-based Neural Network for the Diagnosis of ADHDJavier Sanchis, Miguel A. Teruel, Juan Trujillo 0001. 2719-2725 [doi]
• Method for creating privacy-preserving information using Probabilistic Latent Semantic AnalysisYuki Sugawara, Eiichi Sakurai, Yoichi Motomura, Yukihiko Okada, Kai Tanabe, Akiko Tsukao, Shinya Kuno. 2726-2734 [doi]
• Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsHangyu Tu, Lifeng Han, Goran Nenadic. 2735-2744 [doi]
• Developing and Evaluating a Model-Based Metric for Legal Question Answering SystemsDilan Bakir, Beytullah Yildiz, Mehmet S. Aktas. 2745-2754 [doi]
• Exploring the Performance Impacts of Training Predictive Models with Inclusive Email ThreadsChris Clark, Han Qin, Nathaniel Huber-Fliflet, Adam Dabrowski, Jianping Zhang. 2755-2760 [doi]
• Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural Network for Technology-Assisted ReviewCharles Courchaine, Tasnova Tabassum, Corey Wade, Ricky J. Sethi. 2761-2766 [doi]
• Towards Open-Set Contract Clause RecognitionAngelo Impedovo, Giuseppe Rizzo 0001, Antonio Di Mauro. 2767-2776 [doi]
• Empirical Study of LLM Fine-Tuning for Text Classification in Legal Document ReviewFusheng Wei, Robert Keeling, Nathaniel Huber-Fliflet, Jianping Zhang, Adam Dabrowski, Jingchao Yang, Qiang Mao, Han Qin. 2786-2792 [doi]
• An Empirical Analysis of Text Segmentation for BERT Classification in Extended DocumentsJingchao Yang, Fusheng Wei, Nathaniel Huber-Fliflet, Adam Dabrowski, Qiang Mao, Han Qin. 2793-2797 [doi]
• BBVA AI Factory at FinCausal 2023: a RoBERTa Fine-tuned Model for Causal DetectionAlberto Algarra, David Muelas. 2798-2801 [doi]
• Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual ReportsDilshod Azizov, Jiyong Li, Hilal AlQuabeh, Shangsong Liang. 2802-2804 [doi]
• Identifying going concern issues in auditor opinions: link to bankruptcy eventsKonstantinos Bougiatiotis, Elias Zavitsanos, Georgios Paliouras. 2805-2813 [doi]
• Uncovering Inconsistencies and Contradictions in Financial Reports using Large Language ModelsTobias Deußer, David Leonhard, Lars Hillebrand, Armin Berger, Mohamed Khaled, Sarah Heiden, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa. 2814-2822 [doi]
• Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and ToolJannik Fischbach, Max Adam, Victor Dzhagatspanyan, Daniel Méndez 0001, Julian Frattini, Oleksandr Kosenkov, Parisa Elahidoost. 2823-2830 [doi]
• Humans vs. ChatGPT: Evaluating Annotation Methods for Financial CorporaJamshed Kaikaus, Haoen Li, Robert J. Brunner. 2831-2838 [doi]
• Advancements in Financial Document Structure Extraction: Insights from Five Years of FinTOC (2019-2023)Juyeon Kang, Mauli Mehulkumar Patel, Anushka Agrawal, Simhadri Sevitha, R. Srinivasa, Sandra Bellato, M. Anand Kumar, Ngawang Dempa Tsang, Mo El-Haj. 2839-2844 [doi]
• Impact Analysis of Social Events on Industries through Narrative Causal SearchRyotaro Kobayashi, Yuri Murayama, Kiyoshi Izumi. 2845-2854 [doi]
• The Financial Document Causality Detection Shared Task (FinCausal 2023)Antonio Moreno-Sandoval, Jordi Porta Zamorano, Blanca Carbajo-Coronado, Doaa Samy, Dominique Mariko, Mahmoud El-Haj. 2855-2860 [doi]
• Topic-Sentiment Analysis of Central Bank Press Conferences: BOJ Case StudyKazuhiro Seki, Masahiko Shibamoto, Takashi Kamihigashi. 2861-2865 [doi]
• Investigating Large Language Models for Financial Causality Detection in Multilingual SetupNeelesh K. Shukla, Raghu Katikeri, Msp Raja, Gowtham Sivam, Shlok Yadav, Amit Vaid, Shreenivas Prabhakararao. 2866-2871 [doi]
• Generative AI Approach to Distributed Summarization of Financial NarrativesNeelesh K. Shukla, Raghu Katikeri, Msp Raja, Gowtham Sivam, Shlok Yadav, Amit Vaid, Shreenivas Prabhakararao. 2872-2876 [doi]
• Summarizing Financial Reports with Positional Language ModelNatalia Vanetik, Elizaveta Podkaminer, Marina Litvak. 2877-2883 [doi]
• Meticulously Analyzing ESG Disclosure: A Data-Driven ApproachTik Yu Yim, Yuxuan Zhang, Wenting Tan, Tak Wah Lam, Siu-Ming Yiu. 2884-2889 [doi]
• The Financial Narrative Summarisation Shared Task (FNS 2023)Elias Zavitsanos, Aris Kosmopoulos, George Giannakopoulos, Marina Litvak, Blanca Carbajo-Coronado, Antonio Moreno-Sandoval, Mo El-Haj. 2890-2896 [doi]
• IoT-Reg: A Comprehensive Knowledge Graph for Real-Time IoT Data Privacy ComplianceKelvin Uzoma Echenim, Karuna Pande Joshi. 2897-2906 [doi]
• Characterizing Evolutionary Trends in Temporal Knowledge Graphs with Linear Temporal LogicValeria Fionda, Giuseppe Pirrò. 2907-2909 [doi]
• Leveraging Knowledge Graphs for Matching Heterogeneous Entities and ExplanationSahar Ghassabi, Behshid Behkamal, Mostafa Milani. 2910-2919 [doi]
• STROOBnet Optimization via GPU-Accelerated Proximal Recurrence StrategiesTed Holmberg, Mahdi Abdelguerfi, Elias Ioup. 2920-2929 [doi]
• GCN-based Explainable Recommendation using a Knowledge Graph and a Language ModelJeongbin Lee, Kunyoung Kim, Mye M. Sohn, Jongmo Kim. 2930-2936 [doi]
• Ontology-Based Generation of Data Platform AssetsVincenzo De Leo, Gianni Fenu, David Greco, Nicolo Bidotti, Paolo Platter, Enrico Motta, Andrea Giovanni Nuzzolese, Francesco Osborne, Diego Reforgiato Recupero. 2937-2941 [doi]
• Knowledge Graphs for Competency-Based EducationAndrea Linxen, Florian Endel, Simone Opel, Christian Beecks. 2942-2945 [doi]
• Force-directed graph embedding with hops distanceHamidreza Lotfalizadeh, Mohammad Al Hasan. 2946-2953 [doi]
• Knowledge Graphs in Spatial-Temporal Cluster Evolution AnalysisIvens Portugal, Paulo S. C. Alencar, Donald D. Cowan. 2954-2957 [doi]
• Supporting Practical URI Mappings in Virtual Knowledge Graph-based Relational Data IntegrationShogo Sato, Tadashi Masuda, Toshiyuki Amagasa. 2958-2964 [doi]
• BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge GraphsKara Schatz, Pei-Yu Hou, Alexey V. Gulyuk, Yaroslava G. Yingling, Rada Chirkova. 2965-2974 [doi]
• Knowledge Prompt for Whisper: An ASR Entity Correction Approach with Knowledge BaseMin Zhang, Xiaosong Qiao, Yanqing Zhao, Chang Su 0001, Yinglu Li, Yuang Li, Ming Zhu, Mengyao Piao, Song Peng, Shimin Tao, Hao Yang 0006, Yanfei Jiang. 2975-2979 [doi]
• CERBERE: Cybersecurity Exercise for Red and Blue team Entertainment, REproducibilityPierre-Victor Besson, Romain Brisse, Helene Orsini, Natan Talon, Jean-François Lalande, Frédéric Majorczyk, Alexandre Sanchez, Valérie Viet Triem Tong. 2980-2988 [doi]
• Hide My Payload: An Empirical Study of Antimalware Evasion ToolsHannes Holm, Erik Hyllienmark. 2989-2998 [doi]
• Automated Cyber Threat Intelligence Generation on Multi-Host Network IncidentsCristoffer Leite, Jerry den Hartog, Daniel Ricardo Dos Santos, Elisa Costante. 2999-3008 [doi]
• AMINet: An Industrial Honeynet for AMI SystemsAlexios Lekidis, George Daniil, Panagiotis Mavrommatis, Konstantinos Lampropoulos 0001, Odysseas G. Koufopavlou. 3009-3016 [doi]
• Evaluating Representativeness in PDF Malware Datasets: A Comparative Study and a New DatasetRan Liu, Robert J. Joyce, Cynthia Matuszek, Charles Nicholas. 3017-3024 [doi]
• ICS Honeypot Interactions: A Latitudinal StudyFrancesco Lupia, Marco Lucchese, Massimo Merro, Nicola Zannone. 3025-3034 [doi]
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• AGIR: Automating Cyber Threat Intelligence Reporting with Natural Language GenerationFilippo Perrina, Francesco Marchiori, Mauro Conti, Nino Vincenzo Verde. 3053-3062 [doi]
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• Evaluate and Compare Machine Learning Models for Temperature Forecasting of Meteorological Data in HohhotRuyuan Han, Lei Yu. 3340-3349 [doi]
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• Estimating Water Storage from ImagesAjmal Shahbaz, Syed Younas, Lyndon Smith, Chad Staddon. 3375-3379 [doi]
• Time Series Transformer for Long Term Rainfall Forecasting Towards Water Distribution Management in Smart CitiesAswini Ghosh. 3380-3386 [doi]
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• SRNI-CAR: A Comprehensive Dataset for Analyzing the Chinese Automotive MarketRuixin Ding, Bowei Chen 0001, James M. Wilson 0002, Zhi Yan 0001, Yufei Huang. 3405-3412 [doi]
• Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other MethodsKrzysztof Drachal. 3413-3421 [doi]
• DWT-TimesNet: An Improved Model for Wheat Price Long-Time Series ForecastingMingwei Lei, Xingfen Wang. 3431-3438 [doi]
• Dynamic Price Personalization: Predicting the Optimum Price to Maximize RevenueKazuhiro Miyatsu. 3439-3444 [doi]
• GDP Nowcasting Based on Daily Electricity Data and Financial Market DataWei Shang, Xun Zhang, Rui Tao, Xiuzhenzi Wang, Lili Zhang. 3445-3452 [doi]
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• Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future WorkJiho Choi, Sung-Woo Byun 0001, Taehoon Lim, Hye-in Lee, Hwa Seon Shin, Geon Woo Kim, Jin-Kyung Kwon, Byoung-Cheorl Kang. 3458-3463 [doi]
• Synergizing Measurement Science and Artificial Intelligence in Smart AgricultureFrancesco Lamonaca, Domenico Luca Carnì. 3464-3469 [doi]
• Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial VehicleDan Chia-Tien Lo, Bobin Deng, Yong Shi 0002. 3470-3478 [doi]
• From Satellites to Fields: Machine Learning Applications for Prediction of Corn Production Using NDVI, Precipitation and Land Surface Temperature for Large Producer CountriesSaniya Nangia, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba. 3479-3488 [doi]
• Transforming Agriculture with Intelligent Data Management and InsightsYu Pan, Jianxin Sun, Hongfeng Yu 0001, Geng Bai, Yufeng Ge, Joe Luck, Tala Awada. 3489-3498 [doi]
• Crop Loss Estimation in Maize Agriculture: A Deep Learning PerspectiveGeeta Rani, Vijaypal Singh Dhaka, Eugenio Vocaturo, Ester Zumpano. 3499-3502 [doi]
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• Precision Grazing: when Agriculture, Livestock and Technology uniteOscar Tamburis, Mario Magliulo, Adriano Tramontano, Giulio Perillo, Arriel Benis, Serena Calabrò. 3510-3515 [doi]
• A low-cost IoT-based Smart Farming System For Crop Recommendation and Resource ManagementDaniel Timko, Adityan Elangovan, Aruna Elangovan, Mike Sharko, Ali Ahmadinia. 3516-3523 [doi]
• Tracking and Predicting Productions in Agricultural Processes: Applications and ExperiencesPatrizia Vizza, Giuseppe Timpano, Francesco Vescio, Gianmichele Caligiuri, Fulvia Michela Caligiuri, Pasquale Lambardi, Pierangelo Veltri, Pietro H. Guzzi, Giuseppe Tradigo. 3524-3529 [doi]
• AI-Driven Agriculture: Opportunities and ChallengesEugenio Vocaturo, Geeta Rani, Vijaypal Singh Dhaka, Ester Zumpano. 3530-3537 [doi]
• Integrating Climate Variable Data in Machine Learning Models for Predictive Analytics of Tomato Yields in CaliforniaTianze Zhu, Junyi Wu, Tingyi Tan, Shuheng Wang, Thilanka Munasinghe, Heidi Tubbs, Assaf Anyamba. 3538-3546 [doi]
• Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging ThreatsFrancesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè. 3547-3555 [doi]
• One to Rule them All: A Study on Requirement Management Tools for the Development of Modern AI-based SoftwareAbdul-Rasheed Ottun, Mehrdad Asadi, Michell Boerger, Nikolay Tcholtchev, João Gonçalves, Dusan Borovcanin, Bartlomiej Siniarsk, Huber Flores. 3556-3565 [doi]
• A Max-Min Security Game for Coordinated Backdoor Attacks on Federated LearningOmar Abdel Wahab 0001, Anderson Avila. 3566-3573 [doi]
• A Novel Approach to Parallel Anomaly Detection: Application in CybersecurityZiani Zineb, Nahid Emad, Bouaziz Ahmed. 3574-3583 [doi]
• Defending Federated Learning Against Model Poisoning AttacksIbraheem Aloran, Saeed Samet. 3584-3589 [doi]
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• A Cascade CNN Model based on Adaptive Learning Rate Thresholding for Reliable Face RecognitionImen Labiadh, Larbi Boubchir, Hassene Seddik. 3608-3613 [doi]
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• A Novel Ensemble-Based Framework for Feature Identification and Classification of COVID-19 Electronic Health Record DataAsmita Mahajan, Durga Toshniwal. 3711-3720 [doi]
• Forecasting COVID-19 Hotspots in Florida Public Schools: A Machine Learning ApproachMingming Peng, Askal Ayalew Ali, Hongmei Chi. 3721-3730 [doi]
• Enhancing Vocal-Based Laryngeal Cancer Screening with Additional Patient Information and Voice Signal EmbeddingJaemin Song, Yong Oh Lee, Seho Park, Youn Kyu Lee, Hansang Park, Hyun-Bum Kim. 3731-3735 [doi]
• Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluationsRamya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda. 3736-3742 [doi]
• Energy-Aware Query Processing: A Case Study on Join ReorderingLadjel Bellatreche, Fouad Djellali, Wojciech Macyna, Carlos Ordonez 0001. 3743-3752 [doi]
• A Methodology and a Toolbox to Explore Dataset related to the Environmental Impact of HTTP RequestsChristophe Cérin, Mathilde Jay, Laurent Lefèvre, Denis Trystram. 3753-3762 [doi]
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• Natural Language Processing to Understand Human Activities Impacted by Hydroelectric Energy ProjectsKeshava Pallavi Gone, Yan Chen, Michael Smit. 3770-3778 [doi]
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• Explainable Long-Term Forecasting of Air PollutionAbdul Mutakabbir, Samuel A. Ajila. 3794-3802 [doi]
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• Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting RegressionScott E. Brown, David Harman, Cleon Anderson, Matthew Dwyer 0004. 3840-3846 [doi]
• Thoughts on Edge Sensing and ProcessingJoseph Michael Barton. 3847-3852 [doi]
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• Performance evaluation of 3D point cloud matching with short-range dense 2D rangJu Wang, Ahmed F. Mohammed, Grant Patterson. 3874-3879 [doi]
• Enhancing Edge Intelligence with Highly Discriminant LNT FeaturesXinyu Wang, Vinod K. Mishra, C. C. Jay Kuo. 3880-3887 [doi]
• Navigating the Future Data-Driven Automation Tools: State-of-the-Art and Research Roadmap for Digital Twins of Energy SystemsAlì Aghazadeh Ardebili, Antonella Longo, Antonio Ficarella. 3888-3897 [doi]
• A Big Data Platform for the Management of Local Energy Communities DataSonia Bergamaschi, Luca Gagliardelli. 3898-3903 [doi]
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• Enhanced Segmentation of PV Arrays in Infrared Images using an Improved SegFormer ApproachWanghu Chen, Shengfang Jin, YiHua Luo, Jing Li. 3914-3920 [doi]
• An Integrated ML-Ops Framework for Automating AI-based Photovoltaic ForecastingSymeon Chorozoglou, Elissaios Sarmas, Vangelis Marinakis. 3921-3928 [doi]
• Embedding Climate Dynamics and Prediction with Deep Learning for Wind Power Forecasting: Short-Term to Long-Term PerspectiveHana Kim, Yong Oh Lee, Changsoo Ok, Dongkyun Kim, Seungyup Baek. 3929-3935 [doi]
• A Power Quality Event Classifier Based on Convolutional Neural NetworkFrancesco Lamonaca, Domenico Luca Carnì. 3936-3941 [doi]
• A Deep Learning Approach for Climate Parameter Estimations and Renewable Energy SourcesCamilla Lops, Mariano Pierantozzi, Luciano Caroprese, Sergio Montelpare. 3942-3951 [doi]
• Physics Fundamentals of an Internet of Nanomedicine ThingsHuber Nieto-Chaupis. 3952-3955 [doi]
• Kirchhoff's Voltage Law at Neural Synapse From Electric Currents Based at NeurotransmitersHuber Nieto-Chaupis. 3956-3960 [doi]
• A focused review of ANN-based models for Predicting Absorption Maxima (λmax) of DyesGeeta Rani, Neeraj Tomar, Vijaypal Singh Dhaka, Praveen K. Surolia, Eugenio Vocaturo, Ester Zumpano. 3961-3964 [doi]
• Windfarm Forced Oscillation Detection Using Hyperdimensional ComputingShyam Yathirajam, Arash Peighambari, Ruben Roberts, Hamed Nademi, Sreedevi Gutta, Justin Morris, Ali Ahmadinia. 3965-3972 [doi]
• Supply-Demand Analysis of Urban Amenities Based on Walking AccessibilityKaloyan Karamitov, Dessislava Petrova-Antonova, Emil Popov Hristov, Milena Borukova. 3973-3979 [doi]
• CkanFAIR: a digital tool for assessing the FAIR principlesMatteo Lia, Davide Damiano Colella. 3980-3984 [doi]
• Identifying key factors in designing data spaces for Urban Digital Twin Platforms: a data driven approachCristian Martella, Angelo Martella, Amro Issam Hamed Attia Ramadan. 3985-3994 [doi]
• Cases Vs Deaths: Which Indicators To Assess The Effectiveness Of Non-Pharmaceutical Interventions During Covid-19 Pandemic?Divya Pragna Mulla, Mario A. Bochicchio, Antonella Longo. 3995-4001 [doi]
• Advancing Resilience in Green Energy Systems: Comprehensive Review of AI-based Data-driven Solutions for Security and SafetyAmro Issam Hamed Attia Ramadan, Alì Aghazadeh Ardebili, Antonella Longo, Antonio Ficarella. 4002-4010 [doi]
• Digital Twin supporting Blockchain in construction supply chain: from bio-based materials to energy efficiency and L.C.A.Angelica Rocco. 4011-4016 [doi]
• Digital Twin Space: The Integration of Digital Twins and Data SpacesAlessandra Somma, Alessandra De Benedictis, Marco Zappatore, Cristian Martella, Angelo Martella, Antonella Longo. 4017-4025 [doi]
• Generating large-scale human flow datasets from measured pedestrian movement data and simulationMei Takeda, Masaki Onishi. 4026-4030 [doi]
• Vision Paper: Uncovering Illegal Firearm Transactions in Cryptocurrency NetworksAnastasia Kassiani Blitsi, Georgios Stavropoulos, Konstantinos Votis. 4031-4035 [doi]
• Visual Data Engineering for Conflict and Terrorism PredictionAntonella Calò, Matteo Lia, Marco Zappatore, Antonella Longo. 4036-4045 [doi]
• Harvesting Large Textual and Multimedia Data to Detect Illegal Activities on Dark Web MarketplacesGeorgia Chatzimarkaki, Sophia Karagiorgou, Mariza Konidi, Dimitrios Alexandrou, Thanassis D. Bouras, Spyridon Evangelatos. 4046-4055 [doi]
• The Nexus Between Big Data Analytics and the Proliferation of Fake News as a Precursor to Online and Offline Criminal ActivitiesSpyridon Evangelatos, Thanasis Papadakis, Nikolaos Gousetis, Christos Nikolopoulos, Petrina Troulitaki, Nikos Dimakopoulos, George Bravos, Michael V. Lo Giudice, Ali Shadma Yazdi, Alberto Aziani. 4056-4064 [doi]
• General Risk Index : A Measure for Predicting Violent Behavior Through Written CommunicationLisa Kaati, Amendra Shrestha, Nazar Akrami. 4065-4070 [doi]
• Self-supervised visual learning for analyzing firearms trafficking activities on the WebSotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos. 4071-4080 [doi]
• Visual inspection for illicit items in X-ray images using Deep LearningIoannis Mademlis, Georgios Batsis, Adamantia Anna Rebolledo Chrysochoou, Georgios Th. Papadopoulos. 4081-4089 [doi]
• Unveiling Conversational Patterns: Intent Classification and Clustering in Reddit's Firearm Trade CommunityMaria Makrynioti, Chaido Porlou, Anastasios Alexiadis, Georgios Stavropoulos, Konstantinos Votis, Dimitrios Tzovaras. 4090-4099 [doi]
• Investigating Visual Analytics against Terrorist Financing in Dark Web MarketplacesKyriaki Miniadou, Eirini Kyriakou, Spyridon Tzagkarakis, Asterios Leonidis, Georgios Th. Papadopoulos, Constantine Stephanidis. 4100-4109 [doi]
• Cybersecurity in Public Space: Leveraging CNN and LSTM for Proactive Multivariate Time Series ClassificationAimen Ahmed Al Odaini, Francesco Zola, Lander Segurola-Gil, Amaia Gil-Lertxundi, Carmen D'Andrea. 4110-4118 [doi]
• GINN: Towards Gender InclusioNeural NetworkMatteo Berta, Bartolomeo Vacchetti, Tania Cerquitelli. 4119-4126 [doi]
• Mitigating Representation Bias in Data Transformations: A Constraint-based Optimization ApproachBarbara Catania, Giovanna Guerrini, Ziad Janpih. 4127-4136 [doi]
• Exploring factors influencing the adoption of in-home respite services: A data science approachStephen Cc Cheng, Clio Yuen Man Cheng, Dah-Ming Chiu, Alice Ming Lin Chong, Vivian Weiqun Lou. 4137-4146 [doi]
• Detecting anomalous suppliers in electronic procurement systems using GAANEduardo Cruz, Natalia Ramirez, Emanuel Parra, Daniel Ochoa 0001. 4147-4155 [doi]
• A Perspective on Data Categorization with Regard to Equity, Diversity, and Inclusion in Data ScienceCécile Favre, Marie Vialaret. 4156-4165 [doi]
• Intentional Youth Development Activities and Peer Effects in a Gang Prevention ProgramHaoran Jia, Haoyu Li, Xinyue Li, Xiaoxian Shen, Yichen Wang, Zichun Liao, Andrea L. Bertozzi, P. Jeffrey Brantingham, Jona Lelmi. 4166-4175 [doi]
• Developing a Large-Scale Language Model to Unveil and Alleviate Gender and Age Biases in Australian Job AdsRuochen Mao, Liming Tan, Rezza Moieni. 4176-4185 [doi]
• Assessing relative contribution of Environmental, Behavioural and Social factors on Life Satisfaction via mobile app dataGregor Milligan, John Harvey, Liz Dowthwaite, Elvira Perez Vallejos, Georgiana Nica-Avram, James Goulding. 4186-4194 [doi]
• Recommendation fairness and where to find it: An empirical study on fairness of user recommender systemsAntonela Tommasel, Ira Assent. 4195-4204 [doi]
• Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial IntelligenceTejas Venkateswaran, Sheikh Rabiul Islam, Md Golam Moula Mehedi Hasan, Mohiuddin Ahmed. 4205-4212 [doi]
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• *Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao. 4432-4441 [doi]
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• Empowering Cover Crop Decision Support with Visualization and Provenance EnhancementSujan Shrestha, Jianxin Sun, Katja Koehler-Cole, Andrea Basche, Hongfeng Yu 0001. 4548-4556 [doi]
• A comprehensive study of food prices and food fraud in the European UnionFilip Trajkovikj, Ana Todorovska, Dimitar Peshevski, Lina Nakova, Milena Trajanoska, Jovana Dobreva, Riste Stojanov, Dimitar Trajanov. 4557-4566 [doi]
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• Speeding Up Unsupervised Learning Through Early StoppingAndris Docaj, Yu Zhuang. 4597-4605 [doi]
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• Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine LearningGerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas. 4618-4625 [doi]
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• A Classification Approach to Detect Social Support in Online Health CommunitiesHai Nguyen, Thanaa M. Ghanem. 4891-4899 [doi]
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• Extending Healthy Life Expectancy: Frailty Detection Model Using Smart Meter and Machine LearningKijun Kim, Noboru Koshizuka. 4931-4939 [doi]
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• Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning TechniquesManoj Purohit, Praveen Madiraju. 4954-4962 [doi]
• Is one label all you need? Single positive multi-label training in medical image analysisHelen Schneider, priya Priya, David Biesner, Rebecca Kador, Yannik C. Layer, Maike Theis, Sebastian Nowak 0003, Alois M. Sprinkart, Ulrike I. Attenberger, Rafet Sifa. 4963-4972 [doi]
• Real-Time Heart Rate Monitoring via Wi-Fi SignalHasan Ali Solgun, Alp Ozcan, Ozgun Pinarer. 4973-4978 [doi]
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• Comparison of Machine Learning Classifiers on Integrated Transcriptomic DataIrene Testa, Giuseppe Prencipe, Corrado Priami, Alina Sîrbu. 4987-4996 [doi]
• Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare InnovationMohan Timilsina, Saeed Alsamhi, Rafiqul Haque, Conor Judge, Edward Curry. 4997-5006 [doi]
• Leveraging Graph Databases for Enhanced Healthcare Data Management: A Performance Comparison StudySultan N. Turhan. 5007-5013 [doi]
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• NetSat: Network Saturation Adversarial AttackKatarzyna Filus, Joanna Domanska. 5038-5047 [doi]
• Reliability Analysis of M2M Cyclic Data Transfer based on ad-hoc Wireless P2P LinkPiotr Gaj, Ireneusz Smolka, Jacek Stój. 5048-5056 [doi]
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• A Fuzzy Optimized Route Selection Framework for Autonomous Vehicles using V-NDNAnu Kaushik, Rasmeet S. Bali, Gautam Srivastava 0001. 5064-5069 [doi]
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• Testing Quality of Service of communication system for AGV fleet with Software-Defined NetworkKarol Marszalek, Adam Domanski, Rafal Cupek, Marek Drewniak. 5078-5086 [doi]
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• Convergent wireless real-time communicaiton using EtherCAT and OPC UA for AGV application with big data sets acquisitionJacek Stój, Piotr Gaj. 5127-5133 [doi]
• UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime DatasetMelike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu. 5134-5139 [doi]
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• IDMU: Impact Driven Machine UnlearningShubhi Asthana, Bing Zhang, Ruchi Mahindru, Indervir Singh Banipal, Pawan Chowdhary. 5146-5155 [doi]
• Choosing the Right Time to Learn Evolving Data StreamsAlessio Bernardo, Emanuele Della Valle, Albert Bifet. 5156-5165 [doi]
• Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints DataVincent Bolta, Marwan Hassani. 5166-5175 [doi]
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• Fine-tuned generative LLM oversampling can improve performance over traditional techniques on multiclass imbalanced text classificationNicolas Antonio Cloutier, Nathalie Japkowicz. 5181-5186 [doi]
• Effective and Efficient Big OLAP Data Cube Compression in Mobile Cloud Environments: The IQTS AlgorithmAlfredo Cuzzocrea, Mojtaba Hajian. 5187-5196 [doi]
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• DeepScreen: Boosting Depression Screening Performance with an Auxiliary TaskRicardo Flores, Avantika Shrestha, Elke A. Rundensteiner. 5213-5222 [doi]
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• Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter AlignmentMatt Gorbett, Hossein Shirazi, Indrakshi Ray. 5233-5242 [doi]
• Neurosymbolic Knowledge DistillationHimel Das Gupta, Victor S. Sheng. 5243-5249 [doi]
• UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness DetectionRuofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, Elke A. Rundensteiner. 5250-5259 [doi]
• Diverse Data Expansion with Semi-Supervised k-Determinantal Point ProcessesSimon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep. 5260-5265 [doi]
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• Multi-Item Continuous Influence MaximizationJianjun Luo, Ryan A. Rossi, Xiangnan Kong, Yanhua Li. 5282-5291 [doi]
• Student success analysis for minority students in higher educationShamiha Binta Manir, Priya Deshpande. 5292-5298 [doi]
• Modular Deep Learning for Big Data: Motivation, Challenges, and ApproachesSamiyuru Menik, Lakshmish Ramaswamy. 5299-5304 [doi]
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• Hierarchical Uncertainty Aggregation and Emphasis Loss for Active Learning in Object DetectionTai Nguyen 0007, Khoa Nguyen, Thanh Nguyen, Tri Nguyen, Anh Nguyen, Karrman Kim. 5311-5320 [doi]
• Improved Tactical Decision Making and Control Architecture for Autonomous Truck in SUMO Using Reinforcement LearningDeepthi Pathare, Leo Laine, Morteza Haghir Chehreghani. 5321-5329 [doi]
• Speech-Based Detection of In-Car Escalating Arguments to Prevent Distracted DrivingFrancesco Pistolesi, Michele Baldassini, Beatrice Lazzerini. 5330-5337 [doi]
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• Online Hierarchical Multi-label ClassificationWenting Qi, Charalampos Chelmis. 5346-5355 [doi]
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• ENCODE: Ensemble Contextual Bandits in Big Data Settings - A Case Study in E-Commerce Dynamic PricingSrividhya Sethuraman, Uma Maheswari G, Siddhesh Thombre, Sunny Kumar, Vikash Patel, Sharadha Ramanan. 5372-5381 [doi]
• Correlation and Unintended Biases on Univariate and Multivariate Decision TreesMattia Setzu, Salvatore Ruggieri. 5382-5391 [doi]
• Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data StreamsIan Whitehouse, Rodrigo Yepez-Lopez, Roberto Corizzo. 5392-5397 [doi]
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• *Tomohiro Kimura, Shusaku Tsumoto, Shoji Hirano. 6057-6062 [doi]
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• Enhancing Digital Learning: A Usability Evaluation of the Canvas LMS at the University of North Texas A Pilot Study at the University of North TexasShabbab Algamdi, Stephanie Ludi. 6101-6103 [doi]
• Brain Stroke Prediction Using Machine Learning TechniquesIbrahim Almubark. 6104-6108 [doi]
• Towards Large Language Model Organization: A Case Study on Abstractive SummarizationKrisztián Boros, Masafumi Oyamada. 6109-6112 [doi]
• Assessing Regional Disparities in Human Development and Multidimensional Poverty: A Satellite Imagery and Machine Learning ApproachSukbeom Chang, Youeel Sadek Kamal Abdelnour, Ivis María Companioni Cardoso, Jeongho Kim, Seon-Tae Kim, Joo Hee Oh. 6113-6115 [doi]
• Master-ASL: Sign Language Learning and Assessment SystemSanjusha Cheemakurthi, Min Chen. 6116-6118 [doi]
• An Augmentation-agnostic Semantic Preserving Technique for Data GenerationJang-Ho Choi, Moonyoung Chung, Jiyong Kim. 6119-6121 [doi]
• Text mining using clinical terms in electronic records of annual falls of patients in home community careDillon Chrimes, Emile Keruzore. 6122-6124 [doi]
• Big data usability text mining of publicly available YouTube electronic health record (EHR) tutorialsDillon Chrimes, Ivan Tang. 6125-6127 [doi]
• Comparison of MIMIC-III and MIMIC-IV for big data analytics of health informaticsDillon Chrimes, Chanhee Kim. 6128-6130 [doi]
• Explainable Deep Learning for Smart Grid Stability DetectionGiovanni Ciaramella, Fabio Martinelli, Francesco Mercaldo, Antonella Santone. 6131-6137 [doi]
• Exploring Power Outage Prediction Using Weather and Socioeconomic Data in the Southeastern Part of the United StatesEthan Cruz, Thilanka Munasinghe. 6138-6142 [doi]
• Investigating Data Reusability in Density Functional Theory StudiesRob Fleur, Addy Ireland, Xintong Zhao, Scott McClellan, Eric Paltoo, Tianyu Su, Channyung Lee, Yuan An, Xiaohua Hu 0001, Elif Ertekin, Jane Greenberg. 6143-6144 [doi]
• Exploring AndroidManifest.xml for Automated Android Apps ClassificationElena Flondor. 6145-6147 [doi]
• Introducing the Partial Clustering ProblemByron J. Gao. 6148-6151 [doi]
• Multi-View Latent DiffusionGiuseppe Di Giacomo, Giulio Franzese, Tania Cerquitelli, Carla-Fabiana Chiasserini, Pietro Michiardi. 6152-6154 [doi]
• Enhanced Arrhythmia Classification through Feature Engineering and Hierarchical ModelingFahad Hakami, Lin-Ching Chang. 6155-6158 [doi]
• Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic ForecastingSeunghoon Han, Sungsoo Kim, Sungsu Lim. 6159-6161 [doi]
• Image Data Augmentation and Detection Study for Pothole Detection AlgorithmJisoo Hong, Youngjin Jung, Kang Sung Woo. 6162-6164 [doi]
• Complex Networks Exploration With TrianglesShahadat Hossain, Raheem Mir, Emam Hossain. 6165-6168 [doi]
• Design and Implementation of Blockchain Data Analysis PlatformMiyoung Jang, Dong-Myung Sul, Jongho Won, Ji-Yong Kim. 6169-6171 [doi]
• Voice of Employee: Impact of Online Reviews on Company and Job Seeker Matching PerformanceHaeun Jang, Sanghee Kim, Jongseok Jeon, JooHee Oh. 6172-6174 [doi]
• Pineapple Quality Classification in a Multimodal Audio-Visual DatasetYi-Lu Jiang, Wen-Chang Chang, Chih-Yi Chiu. 6175-6177 [doi]
• Combining Wavelet and MFCC Features for Emotion Recognition in ConversationGeuna Jo, Hyuk Lim, Seunghyun Yoon 0001. 6178-6179 [doi]
• Ammunition Management in the AI Era: Towards CBM+ and Shelf-life AnalysisYoungjin Jung, Jisoo Hong, Solip Kim, Kang Sung Woo. 6180-6182 [doi]
• Interpreting and understanding the image using deep learning and imprecise information from the monitoring systemMariusz Kubanek, Janusz Bobulski, Lukasz Karbowiak. 6183-6185 [doi]
• Fast Graph Learning for Traffic PredictionSungsoo Kim, Moonyoung Chung. 6186-6188 [doi]
• A computational method of identifying false positives in the variant callingSunHee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee. 6189-6191 [doi]
• Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic PredictionJeongseon Kim, Sungsoo Kim, Sungsu Lim. 6192-6194 [doi]
• Bi-Directional Face Tracking for Precise Facial De-identification in Video DataSuha Kim, Hyuk Lim, Seunghyun Yoon 0001. 6195-6197 [doi]
• Detecting Greenwashing in Sustainability Disclosures: A Prediction Model for KOSPI 200 Enterprises using ESG-BERTSeonu Kim, Yoel Shin, Seongwoo Park, Semakula Joel, Seon-Tae Kim, Joo Hee Oh. 6198-6200 [doi]
• A Data-Driven Approach to Predict Social Impact of Rural Tourism: Insights from UNWTO's Video CampaignsKamuna Kipa, Nigel Kari Totona, Eunbi Cho, Jeongho Kim, Seon-Tae Kim, Joo Hee Oh. 6201-6203 [doi]
• Optimization of Public Bus Route in a Smart City Utilizing Real-time Human Location Data AnalysisRyosuke Kobayashi, Nobuo Shigeta, Nobuyuki Saji, Rie Shigetomi Yamaguchi. 6204-6206 [doi]
• Temporal Aspects of Cyber Threat IntelligenceAngel Kodituwakku, Clark Xu, Daniel Rogers, David K. Ahn, Errin W. Fulp. 6207-6211 [doi]
• Graph Neural Networks for Entity MatchingEvgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, Paolo Scotton. 6212-6214 [doi]
• Energy BigData platform for residential heat informationTai-Yeon Ku, Wan-Ki Park, Hoon Choi. 6215-6217 [doi]
• Utilizing text mining and GIS analysis on the vulnerable disaster type of the elderly living aloneJinhyeok Lee, Hyunjung Kim. 6218-6220 [doi]
• Threat Hunting in Internet of Things Networks with Bio-Inspired ModelsJia Mei Grace Lim, Olakunle Olayinka. 6221-6223 [doi]
• Feature Importances for Predicting Future Performance of Professional Soccer PlayerGawon Lim. 6224-6226 [doi]
• Big Data and Data Visualization ChallengesManoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert. 6227-6229 [doi]
• Comparison of SQL, NoSQL, and NewSQL Database TechnologiesManoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert. 6230-6232 [doi]
• IoT-based Big Data Storage Systems ChallengesManoj Muniswamaiah, Tilak Agerwala, Charles C. Tappert. 6233-6235 [doi]
• Mitigating Annotation Artifacts in Physical Commonsense Reasoning BenchmarkWing-Lam Mok, Sungho Kim. 6236-6238 [doi]
• Learning for Spatio-temporal and Relational DataKihyuk Nam, Taewhi Lee, Sung-Soo Kim, Insik Shin. 6239-6241 [doi]
• Privacy-preserving Approximate Query Processing with Differentially Private Generative ModelsJiwon Ock, Taewhi Lee, Seongmin Kim. 6242-6244 [doi]
• Evaluating Speech Emotion Recognition through the lens of CNN & LSTM Deep Learning ModelsDaniel F. O. Onah, Asia Ibrahim. 6245-6247 [doi]
• AI Composite Sensor using BigData for Energy Management SystemWan-Ki Park, Tai-Yeon Ku. 6248-6250 [doi]
• Pangolin: Incast Avoidance in Large Datacenter NetworksSae Hyong Park, Namseok Ko. 6251-6253 [doi]
• Dividing and Merging for Imbalanced Long-Tail DatasetsMinseo Park, Hyuk Lim, Seunghyun Yoon 0001. 6254-6256 [doi]
• Predicting Patent Transfer in the Manufacturing Industry: A Machine Learning Model for Patent Analytics Using BERTHyeonmin Park, Jeongho Kim, Eunbi Cho, Joo Hee Oh. 6257-6259 [doi]
• Compulsive Bingers or Faithful Fans: Binge-watching behaviour analysis using viewing data and Twitter discourse for 'The Traitors US'Joanne Parkes, Andrew Smith, Steve Benford, Michael Evans, Lianne Kerlin. 6260-6262 [doi]
• AI in Archival Holdings and Digital History: Interrelational, Dialogical and Cooperative Interdisciplinary PartnershipsPepita Raventós Pajares, Meritxell Simon Martin, Josep Ballber Botey, Celio Hernández-Tornero, Roberto García González, Glòria Jové Monclús. 6263-6264 [doi]
• A Study on Watching Support of Werewolf Game Using Log Data Analyzed with Machine LearningRyo Saito, Keita Ushida, Tatsuya Arakawa. 6265-6267 [doi]
• Towards Automated ClusteringGeorg Stefan Schlake, Christian Beecks. 6268-6270 [doi]
• Towards Retention Analysis in NFT-based Blockchain GamesRafet Sifa, Fabian Hadiji. 6271-6274 [doi]
• A Comparative Analysis of Data Augmentation Approaches for Improved Minority Behavior Detection in Digital GamesRafet Sifa, Edwin Yang. 6275-6278 [doi]
• The Effect of Tweets on the Traded Volume of Crypto-CoinsAakhya Singh, Chirag Bhatia, Sohom Ghosh. 6279-6282 [doi]
• Towards a Memory-Adaptive Hybrid Hash Join DesignGiulliano Silva Zanotti Siviero, Shiva Jahangiri. 6283-6285 [doi]
• Recurrent Traffic Demand Generation using Urban Traffic Simulation with Cell-based Behavior Model and Real Traffic DataHyewon Song, Moonyoung Chung. 6286-6288 [doi]
• Development of AI-based Intrusion Detection System with Real-Time Flow Feature ExtractionGiwon Sur, Hyejin Kim, Seunghyun Yoon 0001, Hyuk Lim. 6289-6291 [doi]
• Functional Arm Movement Classification in Stroke Survivors Using Deep Learning with Accelerometry DataTan Tran, Lin-Ching Chang, Peter S. Lum. 6292-6294 [doi]
• How Wildfire Wreaked Havoc in California: Impact of evacuation on residents?Vasuda Trehan. 6295-6297 [doi]
• AI-Powered Archives: Revolutionizing Information Access for the FutureVasuda Trehan. 6298-6300 [doi]
• Classification of Cognitive-Aesthetic Responses Using Machine Learning and EEG DataEdward Trudeau, Lin-Ching Chang, Yoshio Nakamura, Mohamad Koubeissi, Julio Bermudez. 6301-6304 [doi]
• Proactive Resource Management to Optimize Distributed Workflow ExecutionsJoel Witzke, Florian Schintke, Ansgar Lößer, Björn Scheuermann 0001. 6305-6307 [doi]
• Why is the User Interface a Dark Pattern?: Explainable Auto-Detection and its AnalysisYuki Yada, Tsuneo Matsumoto, Fuyuko Kido, Hayato Yamana. 6308-6310 [doi]
• Comprehensive cough data analysis on CODA TBJyoti Yadav, Aparna S. Varde, Lei Xie 0006. 6311-6313 [doi]
• Data mining of electronic structure of proteins and quantum evolutionMasanori Yamanaka. 6314-6316 [doi]
• An Alternative Illustration to Generalize Sprague-Grundy TheoremDongho Yang, Sangwhan Cha. 6317-6319 [doi]
• When LLM Meets Material Science: An Investigation on MOF Synthesis LabelingXintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Rob Fleur, Yuan An, Xiaohua Hu 0001, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Jane Greenberg. 6320-6321 [doi]