Table of Contents

• Speaker Identification based on MFSC voice feature extraction using TransformerLiao Bao, Yi Zuo. 1-7 [doi]
• VAM: Value Propensity Score For User Acquisition Marketing CampaignSayantan Chattopadhyay, Chandrai Kayal, Satyen Abrol. 8-15 [doi]
• Applying Machine Learning in Personality-based Persuasion MarketingEvripides Christodoulou, Andreas Gregoriades. 16-23 [doi]
• Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender SystemsTomofumi Hara, Yuki Sumiya, Kazuhide Nakata. 24-30 [doi]
• Operating Range Estimation for Price OptimizationShunnosuke Ikeda, Naoki Nishimura, Shunji Umetani. 31-36 [doi]
• A lightweight and unsupervised approach for identifying risk events in news articlesMaryam Shahsavari, Omar Khadeer Hussain, Morteza Saberi, Pankaj Sharma. 37-43 [doi]
• FP-WDDQN: An improved deep reinforcement learning algorithm for adaptive traffic signal controlXiao Zhang, Xiaolong Xu 0002. 44-51 [doi]
• SSK-DNN: Semantic and Sentiment Knowledge for Incremental Text Sentiment ClassificationJawad Khan, Niaz Ahmad, Chanyeok Choi, Saif Ullah, Gyurin Kim, Youngmoon Lee. 52-59 [doi]
• Defending Network IDS against Adversarial Examples with Continual LearningJedrzej Kozal, Justyna Zwolinska, Marek Klonowski, Michal Wozniak 0001. 60-69 [doi]
• Combining Self-labeling with Selective SamplingJedrzej Kozal, Michal Wozniak. 70-79 [doi]
• A fast incremental spectral clustering algorithm with cosine similarityRan Li, Guangliang Chen. 80-88 [doi]
• Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task LearningJingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng. 89-98 [doi]
• Multimodal Deep Learning with Boosted Trees for Edge InferencePenny Chong, Laura Wynter, Bharathi Chaudhury. 99-108 [doi]
• Multi-modal Chinese Fake News DetectionWenxi Huang, Zhangyi Zhao, Xiaojun Chen 0006, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger. 109-117 [doi]
• EL-VIT: Probing Vision Transformer with Interactive VisualizationHong Zhou, Rui Zhang, Peifeng Lai, Chaoran Guo, Yong Wang, Zhida Sun, Junjie Li. 118-127 [doi]
• Enhancing Sequential Next-Item Prediction through Modelling Non-Item PagesElisabeth Fischer, Daniel Schlör, Albin Zehe, Andreas Hotho. 128-136 [doi]
• Expert Recommendation Method for Fault Maintenance Based On Industrial Manufacturing KnowledgeJiacheng Fu, Jin Tian, Jiacheng Xu, Zhijun Fang. 137-146 [doi]
• Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform DataS. M. F. Sani, Seyed Abbas Hosseini, Hamid R. Rabiee. 147-156 [doi]
• Temporally Dynamic Session-Keyword Aware Sequential Recommendation SystemHariram Veeramani, Surendrabikram Thapa, Usman Naseem. 157-164 [doi]
• User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation SystemsChengshan Yan, Shanshan Feng, Jian Cao 0001, Yan Yao, Huaxiang Zhang 0001. 165-174 [doi]
• BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fuel ConsumptionYan Yao, Shanshan Feng, Hanwen Hu, Shenglin Xu, Shiyou Qian, Bin Qu, Diankun Zhai. 175-180 [doi]
• SGD with Partial Hessian for Deep Recommendation System OptimizationGorkem Yencak, Emre Sefer. 181-187 [doi]
• An Element-Wise Weights Aggregation Method for Federated LearningYi Hu, Hanchi Ren, Chen Hu, Jingjing Deng 0001, Xianghua Xie. 188-196 [doi]
• An Exploration of Large Language Models for Verification of News HeadlinesYifan Li, ChengXiang Zhai. 197-206 [doi]
• SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning TrainingMeghdad Mirabi, René Klaus Nikiel, Carsten Binnig. 207-216 [doi]
• A Joint Permute-and-Flip and Its Enhancement for Large-Scale Genomic Statistical AnalysisAkito Yamamoto, Tetsuo Shibuya. 217-226 [doi]
• Match and Retrieval: Legal Similar Case Retrieval via Graph Matching NetworkShang Gao, Yanling Li, Fengpei Ge, Min Lin, Haiqing Yu, Sukun Wang, Zhongyi Miao. 227-234 [doi]
• Challenges of Profiling Offenders for Recidivism RiskM. Luqman Jamil, Sebastião Pais, Nuno Pombo, João Cordeiro, Pedro Neves. 235-244 [doi]
• Racial Skew in Fine-Tuned Legal AI Language ModelsVincent Quirante Malic, Anamika Kumari, Xiaozhong Liu. 245-252 [doi]
• The Need for Practical Legal and Ethical Guidelines for Explainable AI-based Network Intrusion Detection SystemsAleksandra Pawlicka, Marek Pawlicki, Rafal Kozik, Michal Choras. 253-261 [doi]
• FairLabel: Correcting Bias in LabelsSrinivasan H. Sengamedu, Hien Pham. 262-271 [doi]
• A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed BanditsRéda Alami, Mohammed Mahfoud, Mastane Achab. 272-280 [doi]
• A Label Distribution for Few-shot In-domain Out-of-Scope DetectionXinyi Cai, Pei-wei Tsai, Jiao Tian, Kai Zhang, Jinjun Chen. 281-287 [doi]
• Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutationsYi Li, Xiaomin Xiong, Xiaohua Liu, Lin Chen, Bo Lin, Bo Xu. 288-293 [doi]
• Learning and Adapting Diverse Representations for Cross-domain Few-shot LearningGe Liu, Zhongqiang Zhang, Fuhan Cai, Duo Liu, Xiangzhong Fang. 294-303 [doi]
• Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based ApproachXiaohua Liu, Yi Li, Xiaomin Xiong, Yihan Wu, Mengke Xu, Lin Chen, Bo Lin, Bo Xu, Guoxiang Liu. 304-310 [doi]
• Pyramid Feature Iterative Fusion: A Cross-Scale Fusion Algorithm for Enhanced Analysis of H&E Images in HER2-Positive Breast CancerXiaomin Xiong, Yuqi Zhang, Lihua Gu, Yi Li, Bo Lin, Dajiang Lei, Guoyin Wang 0001, Bo Xu. 311-317 [doi]
• An Approach for Data Publishing with Sensitive Attribute SynthesisZhihui Wang, Yun Zhu, Xinyuan Mi. 318-322 [doi]
• Data Intrusion Tolerance Model based on Game Theory for Energy InternetZhanwang Zhu, Yiming Yuan, Song Deng. 323-328 [doi]
• Deep Attention Q-Network for Personalized Treatment RecommendationSimin Ma, Junghwan Lee, Nicoleta Serban, Shihao Yang. 329-337 [doi]
• Leveraging Implicit Knowledge in Recommender Systems for Maternal HealthNegar Maleki, Balaji Padmanabhan, Kaushik Dutta. 338-347 [doi]
• Population Graph Cross-Network Node Classification for Autism Detection Across Sample GroupsAnna Stephens, Francisco Santos, Pang-Ning Tan, Abdol-Hossein Esfahanian. 348-355 [doi]
• Dual trustworthy mechanism for illness classification with multi-modality dataQing Wang, Jia Zhu, Changfan Pan, Jianyang Shi, Chaojun Meng, Hanghui Guo. 356-362 [doi]
• ICA model estimation using a mixed learning rule based on genetic algorithms and neural networksDoru Constantin, Costel Balcau, Doru Anastasiu Popescu. 363-370 [doi]
• Enhancing Interpretability in AI-Generated Image Detection with Genetic ProgrammingMingqian Lin, Lin Shang 0001, Xiaoying Gao. 371-378 [doi]
• Generating assessment tests using image-based itemsDoru Anastasiu Popescu, Doru Constantin, Nicolae Bold. 379-385 [doi]
• Evolutionary Multi-model Federated Learning on Malicious and Heterogeneous DataChikai Shang, Fangqing Gu, Jiaqi Jiang. 386-395 [doi]
• Information extraction of Chinese medical electronic records via evolutionary neural architecture searchTian Zhang, Nan Li, Yuee Zhou, Wei Cai, Lianbo Ma. 396-405 [doi]
• A hybrid-Lp-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution AlgorithmTinghui Chen, Shuai Li. 406-411 [doi]
• A contactless automated dynamic monitoring method for organoid morphology on the time axisXun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu. 412-417 [doi]
• Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding RepresentationDongxu Li, Bowei Zhao, Xiaorui Su, Guodong Li, Yue Yang, Pengwei Hu, Lun Hu. 418-423 [doi]
• An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis ModelJinli Li, Chengxuan Zhou, Ye Yuan 0014. 424-428 [doi]
• Online Change Point Detection in Open Feature SpacesYixiang Tang, Yi He. 429-434 [doi]
• ESOA Algorithm Based on learning rate optimization in Convolutional neural networksPeiyang Wei, Xiaoyu Shi, Jiesan Zhou. 435-439 [doi]
• E-swish Regularized Nonnegative Latent Factorization of Tensors for Dynamic Network Link PredictionHao Wu, Yan Xia, Chengxuan Zhou. 440-444 [doi]
• A3C: A novel attention-based 3D-CNN model for accurately identifying clinical lung lesionsPeishu Wu, Haipeng Xu, Meilin Liu, Han Li, Hongfu Zeng, Huihua Hu, Nianyin Zeng. 445-450 [doi]
• An Adaptive Alternating-direction-method-based Nonnegative Latent Factor ModelYurong Zhong, Weiling Li, Zhigang Liu, Xin Luo 0001. 451-455 [doi]
• The Strength of Influence Ties in Stock Networks: Empirical Analysis for Portfolio SelectionThiago Ambiel, Douglas Castilho, André C. P. L. F. de Carvalho. 456-464 [doi]
• A Cash Flow Based Framework for Asset-Liability Management with Deep Reinforcement LearningZhizuo Chen. 465-474 [doi]
• Locally Differentially Private Embedding Models in Distributed Fraud Prevention SystemsIker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton. 475-484 [doi]
• Predicting Value-at-Risk with Risk-aware Mutual Attention MechanismChien-Shuo Wu, Shiou-Chi Li, Jen-Wei Huang. 485-489 [doi]
• CrsKGC-RSAN: Conflict Resolution Strategy for Knowledge Graph CompletionJie Chen, Xin Zhang, Wuyang Zhang, Siyu Tan, Shu Zhao. 490-498 [doi]
• KOSA: KO Enhanced Salary Analytics based on Knowledge Graph and LLM CapabilitiesFei Huang, Yi Deng, Chen Zhang, Menghao Guo, Kai Zhan, Shanxin Sun, Jinling Jiang, Zeyi Sun, Xindong Wu 0001. 499-505 [doi]
• Graph Neural Networks with Non-Recursive Message PassingQiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang. 506-514 [doi]
• ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to GraphsYucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming 0001, JunZhou Huang. 515-520 [doi]
• How to Use Language Expert to Assist Inference for Visual Commonsense ReasoningZijie Song, Wenbo Hu 0001, Hao Ye, Richang Hong. 521-527 [doi]
• Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative FilteringYijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen 0062, Zhiqing Li, Lijia Chen, Feiran Huang. 528-532 [doi]
• An Interpretable Distance Measure for Multivariate Non-Stationary Physiological SignalsSylvain W. Combettes, Charles Truong, Laurent Oudre. 533-539 [doi]
• Automatic Component Identification Based on Time Series Classification for Intelligent DevicesMingsen Du, Yanxuan Wei, Yupeng Hu, Xiangwei Zheng, Cun Ji. 540-549 [doi]
• Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly ScoresFiete Lüer, Tobias Weber, Maxim Dolgich, Christian Böhm 0001. 550-559 [doi]
• Towards graph-based forecasting with attention for real-world restaurant salesHenrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper. 560-569 [doi]
• Time Series Anomaly Detection using Diffusion-based ModelsIoana Pintilie, Andrei Manolache, Florin Brad. 570-578 [doi]
• Infinite forecast combinations based on Dirichlet processYinuo Ren, Feng Li 0028, Yanfei Kang, Jue Wang. 579-587 [doi]
• Enhancing Asynchronous Time Series Forecasting with Contrastive Relational InferenceYan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou 0011. 588-592 [doi]
• Outlier Elimination and Reliability Assessment for Peak and Declining Time Series DatasetsJungeun Yoon, Aekyeung Moon, Seung Woo Son 0001. 593-600 [doi]
• Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence RegularizationGuanyu Zhang, Feng Li, Yanfei Kang. 601-607 [doi]
• Clustering High-dimensional Toxicogenomics Data with Rare SignalsGuojing Cong, Scott Auerbach. 608-614 [doi]
• Context Normalization Layer with ApplicationsBilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra. 615-624 [doi]
• Benchmarking Deep Clustering Algorithms With ClustPyCollin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm 0001. 625-632 [doi]
• Levels of disability in the older population of England: An unsupervised and self-supervised learning approachMarjan Qazvini. 633-641 [doi]
• An Account Selection Model for Identifying Valuable zkSync UsersTao Chen, Feiyang Shi, Jidong Chen. 642-648 [doi]
• Multi-triplet Feature Augmentation for Ponzi Scheme Detection in EthereumChengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan. 649-655 [doi]
• Tokenomic Model of Friend.Tech Social Platform: A Data-driven AnalysisKai Liu, Minghao Yu, Yang Jin, Yue Wang, Jiaqi Yan, Xiao Fan Liu. 656-662 [doi]
• Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending PlatformsQian'ang Mao, Sheng Wan, Daning Hu, Jiaqi Yan, Jin Hu, Xuan Yang. 663-670 [doi]
• FCToken: A Flexible Framework for Blockchain-Based Compliance TokenizationHao Tan, Shuangzhou Yan, Xin Zou, Guanghuan Xie, Hongxin Zhang, Zhuo Li. 671-681 [doi]
• E2VQ: Enabling Expressive, Efficient, and Verifiable Queries over Blockchain DatabasesZexin Wang, Qiang Wang 0005, Zi Jiao, Zhifan Huang, Changsheng Zhang 0001, Fucai Zhou, Che Bian. 682-690 [doi]
• Unlocking Decentralized Lending Protocols: Semantic Unification and Risk Spillover AssessmentTianze Zhang, Haolin Ren, Qian'ang Mao, Cong Ma, Shuxi Liang, Daning Hu, Xiao Fan Liu. 691-697 [doi]
• Attribute-Based Searchable Encryption Scheme in Smart Healthcare BlockchainChen Yan, LuPing Wang, Hongjie Wu, Fuyuan Hu, Jing Chen, Weizhong Lu. 698-705 [doi]
• Blockchain-Based System for Vaccine TraceabilityXining Zhuji, Jiehua Wang, Weiping Ding 0001, Weixiang Wu. 706-715 [doi]
• From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor DetectionJulita Bielaniewicz, Przemyslaw Kazienko. 716-725 [doi]
• Towards Model-Based Data Acquisition for Subjective Multi-Task NLP ProblemsKamil Kanclerz, Julita Bielaniewicz, Marcin Gruza, Jan Kocon, Stanislaw Wozniak, Przemyslaw Kazienko. 726-735 [doi]
• BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on TwitterHasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria. 736-743 [doi]
• Deep Emotions Across Languages: A Novel Approach for Sentiment Propagation in Multilingual WordNetsJan Kocon. 744-749 [doi]
• Non-Fungible Tokens: What Makes Them Valuable?Zheng Leitter, Erik Cambria. 750-756 [doi]
• Modeling Uncertainty in Personalized Emotion Prediction with Normalizing FlowsPiotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba. 757-766 [doi]
• Sentiment Analysis of Primary Historical SourcesAndrea Nanetti, John Pavlopoulos, Erik Cambria. 767-772 [doi]
• FinXABSA: Explainable Finance through Aspect-Based Sentiment AnalysisKeane Ong, Wihan van der Heever, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo. 773-782 [doi]
• Video Sentiment Analysis for Child SafetyYee Sen Tan, Nicole Anne Teo Huiying, Ezekiel En Zhe Ghe, Jolie Zhi Yi Fong, Zhaoxia Wang 0001. 783-790 [doi]
• Knowledge Graph enhanced Aspect-Based Sentiment Analysis Incorporating External KnowledgeAutumn Teo, Zhaoxia Wang 0001, Haibo Pen, Budhitama Subagdja, Seng-Beng Ho, Boon Kiat Quek. 791-798 [doi]
• From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment AnalysisStanislaw Wozniak, Jan Kocon. 799-808 [doi]
• Emotion Recognition in Social Network Texts Based on A Multilingual ArchitectureJiajun Zou, Yexuan Zhang, Jinshuai Yang, Sixing Wu, Minghu Jiang, Yongfeng Huang 0001. 809-815 [doi]
• ViGEO: an Assessment of Vision GNNs in Earth ObservationLuca Colomba, Paolo Garza. 816-822 [doi]
• Using UAV-Based Multispectral Imagery, Data-Driven Models, and Spatial Cross-Validation for Corn Grain Yield PredictionPatrick Killeen, Iluju Kiringa, Tet Hin Yeap, Paula Branco. 823-831 [doi]
• Towards A Foundation Model For Trajectory IntelligenceAlameen Najjar. 832-835 [doi]
• Where You Are Is What You Do: On Inferring Offline Activities From Location DataAlameen Najjar, Kyle Mede. 836-843 [doi]
• BLRGCN: A dynamic traffic flow prediction model based on spatiotemporal graph convolutional networkQiuhao Shi, Xiaolong Xu, Xuanyan Liu. 844-851 [doi]
• Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual InfluenceJie Wang, Dan Li, Zibin Zheng, See-Kiong Ng. 852-859 [doi]
• An IoT-based Approach to Expert Recommendation in Community Question Answering for Disaster RecoveryDavide Macrì, Antonio Francesco Gentile, Pietro Sabatino. 860-867 [doi]
• Andragogy Meets ChatGPT in Lifelong Learning: Exploring Opportunities and ChallengesRenata Tomaszewska. 868-874 [doi]
• RIXA - Explaining Artificial Intelligence in Natural LanguageMaximilian Becker, Vishwesh Vishwesh, Pascal Birnstill, Finn Schwall, Sihan Wu, Jürgen Beyerer. 875-884 [doi]
• Explainable Artificial Intelligence for Interpretable Data MinimizationMaximilian Becker, Emrah Toprak, Jürgen Beyerer. 885-893 [doi]
• Recall and Selectivity Normalized in Class Labels as a Classification Performance MetricRobert Burduk. 894-902 [doi]
• Explainable Ensemble Machine Learning for Wheat Grain IdentificationMalgorzata Charytanowicz. 903-911 [doi]
• Human-Centered Evaluation of XAI MethodsKaram Dawoud, Wojciech Samek, Peter Eisert, Sebastian Lapuschkin, Sebastian Bosse. 912-921 [doi]
• A Rule-based Evaluation Method of Local Explainers for Predictive Process MonitoringGhada El-Khawaga, Mervat Abu-Elkheir, Manfred Reichert. 922-930 [doi]
• SATTree: A SHAP-Augmented Threshold Tree for Clustering ExplanationLige Gan, Bo Liu, Andrew Meng, Feng Zhang, Guangzhi Qu. 931-938 [doi]
• Debugging Malware Classification Models Based on Event Logs with Explainable AIJoon-Young Gwak, Priti Prabhakar Wakodikar, Meng Wang, Guanhua Yan, Xiaokui Shu, Scott D. Stoller, Ping Yang 0002. 939-948 [doi]
• Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports DataDan Hudson, Ruud J. R. Den Hartigh, L. Rens A. Meerhoff, Martin Atzmueller. 949-957 [doi]
• The Issue of Baselines in Explainability MethodsGeorge Ioannou, Andreas Stafylopatis. 958-965 [doi]
• Fast & Efficient Learning of Bayesian Networks from Data: Knowledge Discovery and CausalitySein Minn, Shunkai Fu. 966-975 [doi]
• Counterfactual Explanation for Regression via Disentanglement in Latent SpaceXuan Zhao, Klaus Broelemann, Gjergji Kasneci. 976-984 [doi]
• Cross-Modal Attention Network for Sign Language TranslationLiqing Gao, Liang Wan, Wei Feng. 985-994 [doi]
• Video Instance Segmentation Using Graph Matching TransformerZheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin. 995-1004 [doi]
• FedNAT: Byzantine-robust Federated Learning through Activation-based Attention TransferMengxin Wang, Liming Fang, Kuiqi Chen. 1005-1012 [doi]
• Asymmetric Polysemous Reasoning for Image-Text MatchingHongping Zhang, Ming Yang. 1013-1022 [doi]
• Efficient Distributed Core Graph DecompositionWenqian Zhang, Zhengyi Yang, Dong Wen, Xiaoyang Wang. 1023-1031 [doi]
• A Federated Multi-Modal Learning Framework Powered by Distributed Ledgers for Cyber-safe and Efficient UAV Delivery SystemsChengzu Dong, Jingwen Zhou, Aiting Yao, Zhiyu Xu, Frank Jiang 0001, Shiping Chen 0001, Xiao Liu 0004. 1032-1039 [doi]
• Blockchain-based Reputation Management Scheme for the Internet of VehiclesShijie Li, Xiaowu Liu, Wenshuo Ma, Kan Yu, Yangyang Liu. 1040-1049 [doi]
• Can machine learning algorithms predict publication outcomes? A case study of COVID-19 preprintsSai Dileep Koneru, Xin Wei, Jian Wu 0006, Sarah Rajtmajer. 1050-1057 [doi]
• Citation Style Classification: a Comparison of Machine Learning ApproachesArtyom Kopan, Anna N. Smirnova, Ilya Shchuckin, Vladislav Makeev, George A. Chernishev. 1058-1064 [doi]
• Hard Anomaly Detection: An Adversarial Data Augmentation SolutionTeng Hu, Cheng Wang, Qing Yang 0016, Xue Chen. 1065-1075 [doi]
• Self-supervision meets kernel graph neural models: From architecture to augmentationsJiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang. 1076-1083 [doi]
• E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node AttributesTu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth. 1084-1091 [doi]
• Dynamic Relation-Attentive Graph Neural Networks for Fraud DetectionHeehyeon Kim, Jinhyeok Choi, Joyce Jiyoung Whang. 1092-1096 [doi]
• On Graph Representation based Re-Identification - A Proof of ConceptSimon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller. 1097-1104 [doi]
• DropMix: Better Graph Contrastive Learning with Harder Negative SamplesYueqi Ma, Minjie Chen, Xiang Li. 1105-1112 [doi]
• Exploiting Local Information with Subgraph Embedding for Graph Neural NetworksHyung-Jun Moon, Sung-Bae Cho. 1113-1120 [doi]
• Exhaustive Evaluation of Dynamic Link PredictionFarimah Poursafaei, Reihaneh Rabbany. 1121-1130 [doi]
• Continuous-Time Temporal Graph Learning on Provenance GraphsJakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt. 1131-1140 [doi]
• Influence Propagation for Linear Threshold Model with Graph Neural NetworksFrancisco Santos, Anna Stephens, Pang-Ning Tan, Abdol-Hossein Esfahanian. 1141-1148 [doi]
• Study of Topology Bias in GNN-based Knowledge Graphs AlgorithmsAnil Surisetty, Aakarsh Malhotra, Deepak Chaurasiya, Sudipta Modak, Siddharth Yerramsetty, Alok Singh, Liyana Sahir, Esam Abdel-Raheem. 1149-1156 [doi]
• Aligning Contrastive Clusters for Cross-Network Node ClassificationLinyao Yang, Hongyang Chen, Xiao Wang. 1157-1161 [doi]
• Hyperbolic Node Structural Role EmbeddingLili Wang, Chenghan Huang, Weicheng Ma, Zhongyang Li, Soroush Vosoughi. 1162-1169 [doi]
• Clustering with Entropy-based Recombination for Training GCNs on Large GraphsShangwei Wu, Yingtong Xiong, Hui Liang, Chuliang Weng. 1170-1177 [doi]
• SubAnom: Efficient Subgraph Anomaly Detection Framework over Dynamic GraphsChi Zhang, Wenkai Xiang, Xingzhi Guo, Baojian Zhou, Deqing Yang. 1178-1185 [doi]
• SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction DetectionLijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal, Qing Tian, Shuteng Niu. 1186-1193 [doi]
• LogGC: Novel Approach for Graph-based Log Anomaly DetectionStefan Andonov, Gjorgji Madjarov. 1194-1202 [doi]
• Exploring Large Language Models for Low-Resource IT Information ExtractionBhavya, Paulina Toro Isaza, Yu Deng 0004, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai. 1203-1212 [doi]
• A Roadmap towards Intelligent Operations for Reliable Cloud Computing SystemsYintong Huo, Cheryl Lee, Jinyang Liu, Tianyi Yang, Michael R. Lyu. 1213-1220 [doi]
• Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical TargetsYoucef Remil, Anes Bendimerad, Mathieu Chambard, Romain Mathonat, Marc Plantevit, Mehdi Kaytoue. 1221-1230 [doi]
• Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause AnalysisThorsten Wittkopp, Alexander Acker, Odej Kao. 1231-1239 [doi]
• Toward Solving Domain Adaptation with Limited Source Labeled DataKunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv. 1240-1246 [doi]
• Surrogate uncertainty estimation for your time series forecasting black-box: learn when to trustLeonid Erlygin, Vladimir Zholobov, Valeriia Baklanova, Evgeny Sokolovskiy, Alexey Zaytsev 0002. 1247-1258 [doi]
• A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport RidershipHugues Moreau, Etienne Côme, Allou Samé, Latifa Oukhellou. 1259-1268 [doi]
• Annotating Panic in Social Media using Active Learning, Transformers and Domain KnowledgeSandra Mitrovic, Fabio Frisone, Suryam Gupta, Chiara Lucifora, Dragana Carapic, Carlo Schillaci, Samuele Di Giovanni, Ayushi Singh. 1269-1278 [doi]
• Improving Mental Disorder Predictions using Feature-Based Machine Learning TechninquesFaustino Muetunda, Sebastião Pais, Soumaya Sabry, Gaël Dias, Nuno Pombo, João Cordeiro. 1279-1288 [doi]
• Exploring the Role of Artificial Intelligence in Mental HealthFaustino Muetunda, M. Luqman Jamil, Sebastião Pais, Soumaya Sabry, Gaël Dias, Nuno Pombo, João Cordeiro. 1289-1298 [doi]
• Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health PredictionMeishu Song, Zijiang Yang 0007, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian 0003, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto. 1299-1305 [doi]
• An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity DataDewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian 0003, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto. 1306-1312 [doi]
• Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning ApproachBrian Etter, James Lee Hu, MohammadReza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen. 1313-1321 [doi]
• PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware DetectionYubo Hou, Tram Truong Huu, Zhenghua Chen, Chee-Keong Kwoh 0001, Sin G. Teo. 1322-1331 [doi]
• Automatic Detection and Analysis towards Malicious Behavior in IoT MalwareSen Li, Mengmeng Ge, Ruitao Feng, Xiaohong Li 0001, Kwok-Yan Lam. 1332-1341 [doi]
• SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial AttackFei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi. 1342-1351 [doi]
• Anisotropic Knowledge Empowers Efficient Recommender System through Generative-Mapping Representation LearningLinfeng Li, Hai Liu 0004, Zhaoli Zhang. 1352-1359 [doi]
• Automatic Personalized Health Insurance Recommendation Based on Utility and User FeedbackHao Liu, Raymond Chi-Wing Wong. 1360-1369 [doi]
• Develop End-to-End Anomaly Detection SystemEmanuele Mengoli, Zhiyuan Yao, Wutao Wei, Thomas H. Clausen. 1370-1379 [doi]
• Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction DataJiaxing Shen, Yulin He, Yunfei Long, Jiaqi Wen, Yanwen Wang, Yu Yang 0012. 1380-1389 [doi]
• Differentially Private Causal Inference Under Hierarchical DesignFan Wu, Bowei Xi. 1390-1399 [doi]
• Industry credit spread forecasting based on time series data and industry relationshipsFan Meng, Yuyong Li, Hanqing Yu, Xiaofei Zhou, Win-Bin Huang. 1400-1406 [doi]
• Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single CameraHaotian Xia, Rhys Tracy, Yun Zhao 0001, Yuqing Wang, Yuan-Fang Wang, Weining Shen. 1407-1416 [doi]
• A Survey on Spatio-Temporal Graph Neural Networks for Traffic ForecastingCan Zhang, Minglong Lei. 1417-1423 [doi]
• Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data AugmentationXunxin Cai, Meng Xiao 0001, Zhiyuan Ning, Yuanchun Zhou. 1424-1429 [doi]
• Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News DetectionMansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu 0001. 1430-1437 [doi]
• Alternative Speech: Complementary Method to Counter-Narrative for Better DiscourseSeungyoon Lee, Dahyun Jung, Chanjun Park, Seolhwa Lee, HeuiSeok Lim. 1438-1442 [doi]
• Deep Outdated Fact Detection in Knowledge GraphsHuiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia 0001, Karin Verspoor. 1443-1452 [doi]
• Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive ModelingChenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu. 1453-1462 [doi]
• Analyzing Hierarchical Organizational Structure Change: Strategic Planning Model from Personnel PerspectiveShan Huang, Tao Wang, Zhongshan Zhang, Lei He. 1463-1468 [doi]
• The Impact of AIGC on Organizational Knowledge Creation : From the Perspective of Adaptive Structuration TheoryXi Zhang, Ziyue Liu, Yihang Cheng 0001, Xuyan Wang, Zhe Wang. 1469-1476 [doi]
• Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change PerspectiveChen Zhu, Hengshu Zhu. 1477-1483 [doi]
• GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item RecommendationRamin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan. 1484-1492 [doi]
• Review-Enhanced Sequential Recommendation with Self-Attention and Graph Collaborative FeaturesYunqi Hong, Wei Ye 0001. 1493-1499 [doi]
• Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated ApproachChengyi Ju, Jiannong Cao, Yu Yang, Zhen-Qun Yang, Ho Man Lee. 1500-1508 [doi]
• An in-depth analysis of robustness and accuracy of recommendation systemsHaonan Ma, Can Wang 0004, Yunwei Zhao, Luhua Wang, Xiulian Cao, Jinyin Chen, Han Han, Meichen Liu. 1509-1515 [doi]
• IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start ItemsShen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu. 1516-1525 [doi]
• Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential RecommendationXinhua Wang 0003, Houping Yue, Zizheng Wang, Liancheng Xu, Jinyu Zhang. 1526-1534 [doi]
• Zero-Shot Recommendations with Pre-Trained Large Language Models for Multimodal NudgingRachel M. Harrison, Anton Dereventsov, Anton Bibin. 1535-1542 [doi]
• Context Retrieval via Normalized Contextual Latent Interaction for Conversational AgentJunfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai. 1543-1550 [doi]
• Increasing Entropy to Boost Policy Gradient Performance on Personalization TasksAndrew Starnes, Anton Dereventsov, Clayton G. Webster. 1551-1558 [doi]
• Exploring Approaches for Teaching Cybersecurity and AI for K-12Yu Cai, Drew Youngstrom, Wenbin Zhang. 1559-1564 [doi]
• Optimization and Improvement of Fake News Detection using Voting Technique for Societal BenefitSribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang 0002. 1565-1574 [doi]
• Intelligent Practical Teaching Platform based on Data MiningQi Liu, Xiao Chen, Kun Niu, Wanru Zhang, Yiman Gao, Jin Wei. 1575-1580 [doi]
• A Deep Memory-Aware Attentive Model for Knowledge TracingJuntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li. 1581-1590 [doi]
• INFRANET: Forecasting intermittent time series using DeepNet with parameterized conditional demand and size distributionDiksha Shrivastava, Sarthak Pujari, Yatin Katyal, Siddhartha Asthana, Chandrudu K, Aakashdeep Singh. 1591-1599 [doi]
• A Feature Set for Neural Texture Video Detection Based on Scenes and TexturesAmit Neil Ramkissoon, Vijayanandh Rajamanickam, Wayne Goodridge. 1604-1611 [doi]
• Fault Detection in Telecom Networks Using Bi-Level Federated Graph Neural NetworksRémi Bourgerie, Tahar Zanouda. 1608-1617 [doi]