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ORCIDPKDD / ECML 2024: Vilnius, Lithuania - Part VIII
- Albert Bifet
, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 14948, Springer 2024, ISBN 978-3-031-70370-6
Research Track
- Aurélien Gauffre, Julien Horvat, Massih-Reza Amini:
A Unified Contrastive Loss for Self-training. 3-18 - He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Counterfactual Explanation for Sequence Anomaly Detection. 19-35 - Yuhan Ye, Jingbo Zhou, Shuangli Li, Congxi Xiao, Haochao Ying, Hui Xiong:
Hierarchical Structure-Aware Graph Prompting for Drug-Drug Interaction Prediction. 36-54 - Alice Lacan, Blaise Hanczar, Michèle Sebag:
Frugal Generative Modeling for Tabular Data. 55-72 - Pawel Zyblewski:
Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification. 73-89 - Mingliang Liang, Martha A. Larson:
Centered Masking for Language-Image Pre-training. 90-106 - Giorgio Morales, John W. Sheppard:
Univariate Skeleton Prediction in Multivariate Systems Using Transformers. 107-125 - Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard:
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs. 126-143 - Nico Piatkowski, Sascha Mücke:
Real-Part Quantum Support Vector Machines. 144-160 - Tanvir Hossain, Khaled Mohammed Saifuddin, Muhammad Ifte Khairul Islam, Farhan Tanvir, Esra Akbas:
Tackling Oversmoothing in GNN via Graph Sparsification. 161-179 - Wei Ye, Hao Tian, Shuhao Tang, Xin Sun:
Enhancing Shortest-Path Graph Kernels via Graph Augmentation. 180-198 - Shengyin Sun, Chen Ma:
Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation. 199-217 - Xv Meng, Jun Rao, Shuhan Qi, Lei Wang, Jing Xiao, Xuan Wang:
Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language Understanding. 218-234 - Thanh Thi Nguyen, Campbell Wilson, Janis Dalins:
Adaptive Knowledge Distillation for Classification of Hand Images Using Explainable Vision Transformers. 235-252 - Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Adaptively Denoising Graph Neural Networks for Knowledge Distillation. 253-269 - Jiaxing Yan, Yuyin Lu, Hegang Chen, Jianxing Yu, Yanghui Rao:
Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding Clustering. 270-287 - Hoang-Phuc Nguyen-Dinh, The Hung Tran:
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces. 288-305 - Clemens Damke, Eyke Hüllermeier:
CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks. 306-323 - Huy-Son Nguyen, Tuan-Nghia Bui, Long-Hai Nguyen, Hung Hoang, Cam-Van Thi Nguyen, Hoang-Quynh Le, Duc-Trong Le:
Bundle Recommendation with Item-Level Causation-Enhanced Multi-view Learning. 324-341 - Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function. 342-360
Demo Track
- Mario Alfonso Prado-Romero, Bardh Prenkaj, Giovanni Stilo:
GRETEL 2.0: Generation and Evaluation of Graph Counterfactual Explanations Evolved. 363-367 - Longchao Da, Chen Chu, Weinan Zhang, Hua Wei:
CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. 368-373 - Sebastian Chwilczynski, Kacper Trebacz, Karol Cyganik, Mateusz Malecki, Dariusz Brzezinski:
ART: Actually Robust Training. 374-378 - Edith Heiter, Liesbet Martens, Ruth Seurinck, Martin Guilliams, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt:
Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE. 379-382 - Thibaut Germain, Charles Truong, Laurent Oudre:
Interactive Motif Discovery in Time Series with Persistent Homology. 383-387 - Vincenzo Scotti, Mark James Carman:
LLM Support for Real-Time Technical Assistance. 388-393 - Venkatesh Chandar, Harshit Oberoi, Anurag Kumar Pandey, Anil Goyal, Nikhil Sikka:
RE-GrievanceAssist: Enhancing Customer Experience Through ML-Powered Complaint Management. 394-398 - Brigt Arve Toppe Håvardstun, Cèsar Ferri, Jan Arne Telle:
An Interactive Tool for Interpretability of Time Series Classification. 399-403 - Dimitris Paraschakis, Rasmus Ros, Markus Borg, Per Runeson:
FuseRank (Demo): Filtered Vector Search in Multimodal Structured Data. 404-408 - Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie:
KamerRaad: Enhancing Information Retrieval in Belgian National Politics Through Hierarchical Summarization and Conversational Interfaces. 409-412 - Adam Dubowski, Hilde J. P. Weerts, Anouk Wolters, Mykola Pechenizkiy:
Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms and Predictive Bias. 413-417 - Wenbiao Tao, Hanlun Zhu, Keren Tan, Jiani Wang, Yuanyuan Liang, Huihui Jiang, Pengcheng Yuan, Yunshi Lan:
FinQA: A Training-Free Dynamic Knowledge Graph Question Answering System in Finance with LLM-Based Revision. 418-423 - Erik Schultheis, S. T. John:
LLaMA-Annotate - Visualizing Token-Level Confidences for LLMs. 424-428 - Florian Chen, Thomas Gärtner:
Scalable Interactive Data Visualization. 429-433
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