Abstract is missing.
- Rectifying Bias in Ordinal Observational Data Using Unimodal Label SmoothingStefan Haas, Eyke Hüllermeier. 3-18 [doi]
- Class-Conditional Label Noise in Astroparticle PhysicsMirko Bunse, Lukas Pfahler. 19-35 [doi]
- A Baseline Generative Probabilistic Model for Weakly Supervised LearningGeorgios Papadopoulos, Fran Silavong, Sean J. Moran. 36-50 [doi]
- DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation ModellingAkash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew 0003, Jairaj Sathyanarayana. 51-65 [doi]
- Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public ProcurementLucas Potin, Rosa Figueiredo 0001, Vincent Labatut, Christine Largeron. 69-87 [doi]
- Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge InfusionRaghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha 0001. 88-104 [doi]
- Sequence-Graph Fusion Neural Network for User Mobile App Behavior PredictionYizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song 0001. 105-121 [doi]
- DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity LinkageMeixiu Long, Siyuan Chen, Xin Du, Jiahai Wang. 122-138 [doi]
- Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in ThaiKrishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa. 139-156 [doi]
- Deep Serial Number: Computational Watermark for DNN Intellectual Property ProtectionRuixiang Tang, Mengnan Du, Xia Hu. 157-173 [doi]
- How Early Can We Detect? Detecting Misinformation on Social Media Using User Profiling and Network CharacteristicsShreya Ghosh 0002, Prasenjit Mitra. 174-189 [doi]
- Boosting the Performance of Deployable Timestamped Directed GNNs via Time-Relaxed SamplingArihant Jain, Gundeep Arora, Anoop Saladi. 190-206 [doi]
- Semi-Supervised Social Bot Detection with Initial Residual Relation Attention NetworksMing Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang 0001. 207-224 [doi]
- On Calibration of Mathematical Finance Models by HypernetworksYongxin Yang, Timothy M. Hospedales. 227-242 [doi]
- PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU LabelsJiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung. 243-258 [doi]
- BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior ConsistencyJun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou 0011. 259-274 [doi]
- Advancing Fraud Detection Systems Through Online LearningTommaso Paladini, Martino Bernasconi de Luca, Michele Carminati, Mario Polino, Francesco Trovò, Stefano Zanero. 275-292 [doi]
- Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network OptimisationCengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic. 295-311 [doi]
- An Examination of Wearable Sensors and Video Data Capture for Human Exercise ClassificationAshish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly 0001, Brian Caulfield 0001, Georgiana Ifrim. 312-329 [doi]
- Context-Aware Deep Time-Series Decomposition for Anomaly Detection in BusinessesYoungeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee 0001. 330-345 [doi]
- F-3DNet: Leveraging Inner Order of Point Clouds for 3D Object DetectionYing Chen, Rui Liu, Zhihui Li 0001, Andy Song. 346-359 [doi]
- Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative ModelsAsmita Bhat, Nooshin HajiGhassemi, Deepak Nagaraj, Sophie Fellenz. 360-376 [doi]
- Deep Learning for Real-Time Neural Decoding of GraspPaolo Viviani 0001, Ilaria Gesmundo, Elios Ghinato, Andres Y. Agudelo-Toro, Chiara Vercellino, Giacomo Vitali, Letizia Bergamasco, Alberto Scionti, Marco Ghislieri, Valentina Agostini, Olivier Terzo, Hansjörg Scherberger. 379-393 [doi]
- MCTN: A Multi-Channel Temporal Network for Wearable Fall PredictionJiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu. 394-409 [doi]
- Target-Aware Molecular Graph GenerationCheng Tan 0012, Zhangyang Gao, Stan Z. Li. 410-427 [doi]
- Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRsYuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes. 428-443 [doi]
- Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity RecognitionWei Sun 0046, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen. 444-459 [doi]
- Fairness-Aware Processing Techniques in Survival Analysis: Promoting Equitable PredictionsZhouting Zhao, Tin Lok James Ng. 460-476 [doi]
- BeeTLe: A Framework for Linear B-Cell Epitope Prediction and ClassificationXiao Yuan. 477-494 [doi]
- Ordinal Regression for Difficulty Prediction of StepMania LevelsBilly Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz. 497-512 [doi]
- Double Machine Learning at Scale to Predict Causal Impact of Customer ActionsSushant More, Priya Kotwal, Sujith Chappidi, Dinesh Mandalapu, Chris Khawand. 513-528 [doi]
- Graph-Enhanced Multi-Activity Knowledge TracingSiqian Zhao, Shaghayegh Sahebi. 529-546 [doi]
- Knowledge Distillation with Graph Neural Networks for Epileptic Seizure DetectionQinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard. 547-563 [doi]
- OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate PredictionXing Tang 0007, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He 0001. 567-584 [doi]
- PDF-VQA: A New Dataset for Real-World VQA on PDF DocumentsYihao Ding, Siwen Luo, Hyunsuk Chung, Soyeon Caren Han. 585-601 [doi]
- Future Augmentation with Self-distillation in RecommendationChong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia 0006, Leyu Lin. 602-618 [doi]
- Cooperative Multi-agent Reinforcement Learning for Inventory ManagementMadhav Khirwar, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally. 619-634 [doi]
- LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web SearchYuchen Li 0006, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin. 635-651 [doi]
- Prototype-Guided Counterfactual Explanations via Variational Auto-encoder for RecommendationMing He, Jiwen Wang, Boyang An, Hao Wen. 652-668 [doi]
- PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising ServingHan Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, JingPing Shao. 669-683 [doi]
- A Vlogger-augmented Graph Neural Network Model for Micro-video RecommendationWeijiang Lai, Beihong Jin, Beibei Li 0001, Yiyuan Zheng, Rui Zhao. 684-699 [doi]