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ORCIDPKDD / ECML 2023: Turin, Italy - Part VI
- Gianmarco De Francisci Morales
, Claudia Perlich, Natali Ruchansky, Nicolas Kourtellis, Elena Baralis, Francesco Bonchi:
Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14174, Springer 2023, ISBN 978-3-031-43426-6
Applied Machine Learning
- Stefan Haas, Eyke Hüllermeier:
Rectifying Bias in Ordinal Observational Data Using Unimodal Label Smoothing. 3-18 - Mirko Bunse, Lukas Pfahler:
Class-Conditional Label Noise in Astroparticle Physics. 19-35 - Georgios Papadopoulos, Fran Silavong, Sean J. Moran:
A Baseline Generative Probabilistic Model for Weakly Supervised Learning. 36-50 - Akash Deep, Sri Charan Kattamuru, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana:
DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling. 51-65
Computational Social Sciences
- Lucas Potin, Rosa Figueiredo, Vincent Labatut, Christine Largeron:
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement. 69-87 - Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion. 88-104 - Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song:
Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. 105-121 - Meixiu Long, Siyuan Chen, Xin Du, Jiahai Wang:
DegUIL: Degree-Aware Graph Neural Networks for Long-Tailed User Identity Linkage. 122-138 - Krishanu Maity, Shaubhik Bhattacharya, Salisa Phosit, Sawarod Kongsamlit, Sriparna Saha, Kitsuchart Pasupa:
Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai. 139-156 - Ruixiang Tang, Mengnan Du, Xia Hu:
Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection. 157-173 - Shreya Ghosh, Prasenjit Mitra:
How Early Can We Detect? Detecting Misinformation on Social Media Using User Profiling and Network Characteristics. 174-189 - Arihant Jain, Gundeep Arora, Anoop Saladi:
Boosting the Performance of Deployable Timestamped Directed GNNs via Time-Relaxed Sampling. 190-206 - Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang:
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. 207-224
Finance
- Yongxin Yang, Timothy M. Hospedales:
On Calibration of Mathematical Finance Models by Hypernetworks. 227-242 - Jiho Choi, Junghoon Park, Woocheol Kim, Jin-Hyeok Park, Yumin Suh, Minchang Sung:
PU GNN: Chargeback Fraud Detection in P2E MMORPGs via Graph Attention Networks with Imbalanced PU Labels. 243-258 - Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou:
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. 259-274 - Tommaso Paladini, Martino Bernasconi de Luca, Michele Carminati, Mario Polino, Francesco Trovò, Stefano Zanero:
Advancing Fraud Detection Systems Through Online Learning. 275-292
Hardware and Systems
- Cengis Hasan, Alexandros Agapitos, David Lynch, Alberto Castagna, Giorgio Cruciata, Hao Wang, Aleksandar Milenovic:
Continual Model-Based Reinforcement Learning for Data Efficient Wireless Network Optimisation. 295-311 - Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. 312-329 - Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee:
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. 330-345 - Ying Chen, Rui Liu, Zhihui Li, Andy Song:
F-3DNet: Leveraging Inner Order of Point Clouds for 3D Object Detection. 346-359 - Asmita Bhat, Nooshin HajiGhassemi, Deepak Nagaraj, Sophie Fellenz:
Constraint-Based Parameterization and Disentanglement of Aerodynamic Shapes Using Deep Generative Models. 360-376
Healthcare and Bioinformatics
- Paolo Viviani, Ilaria Gesmundo, Elios Ghinato, Andres Y. Agudelo-Toro, Chiara Vercellino, Giacomo Vitali, Letizia Bergamasco, Alberto Scionti, Marco Ghislieri, Valentina Agostini, Olivier Terzo, Hansjörg Scherberger:
Deep Learning for Real-Time Neural Decoding of Grasp. 379-393 - Jiawei Liu, Xiaohu Li, Guorui Liao, Shu Wang, Li Liu:
MCTN: A Multi-Channel Temporal Network for Wearable Fall Prediction. 394-409 - Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-Aware Molecular Graph Generation. 410-427 - Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes:
Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs. 428-443 - Wei Sun, Shaoxiong Ji, Tuulia Denti, Hans Moen, Oleg Kerro, Antti Rannikko, Pekka Marttinen, Miika Koskinen:
Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition. 444-459 - Zhouting Zhao, Tin Lok James Ng:
Fairness-Aware Processing Techniques in Survival Analysis: Promoting Equitable Predictions. 460-476 - Xiao Yuan:
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification. 477-494
Human-Computer Interaction
- Billy Joe Franks, Benjamin Dinkelmann, Marius Kloft, Sophie Fellenz:
Ordinal Regression for Difficulty Prediction of StepMania Levels. 497-512 - Sushant More, Priya Kotwal, Sujith Chappidi, Dinesh Mandalapu, Chris Khawand:
Double Machine Learning at Scale to Predict Causal Impact of Customer Actions. 513-528 - Siqian Zhao, Shaghayegh Sahebi:
Graph-Enhanced Multi-Activity Knowledge Tracing. 529-546 - Qinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard:
Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection. 547-563
Recommendation and Information Retrieval
- Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. 567-584 - Yihao Ding, Siwen Luo, Hyunsuk Chung, Soyeon Caren Han:
PDF-VQA: A New Dataset for Real-World VQA on PDF Documents. 585-601 - Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin:
Future Augmentation with Self-distillation in Recommendation. 602-618 - Madhav Khirwar, Karthik S. Gurumoorthy, Ankit Ajit Jain, Shantala Manchenahally:
Cooperative Multi-agent Reinforcement Learning for Inventory Management. 619-634 - Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin:
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. 635-651 - Ming He, Jiwen Wang, Boyang An, Hao Wen:
Prototype-Guided Counterfactual Explanations via Variational Auto-encoder for Recommendation. 652-668 - Han Xu, Hao Qi, Yaokun Wang, Pei Wang, Guowei Zhang, Congcong Liu, Junsheng Jin, Xiwei Zhao, Zhangang Lin, Jinghe Hu, Jingping Shao:
PCDF: A Parallel-Computing Distributed Framework for Sponsored Search Advertising Serving. 669-683 - Weijiang Lai, Beihong Jin, Beibei Li, Yiyuan Zheng, Rui Zhao:
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation. 684-699
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