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ORCIDPKDD / ECML 2024: Vilnius, Lithuania - Part V
- Albert Bifet
, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14945, Springer 2024, ISBN 978-3-031-70361-4
Research Track
- Chamalee Wickrama Arachchi, Nikolaj Tatti:
Fair Densest Subgraph Across Multiple Graphs. 3-19 - Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew:
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. 20-37 - Marco Heyden, Heitor Murilo Gomes, Edouard Fouché, Bernhard Pfahringer, Klemens Böhm:
Leveraging Plasticity in Incremental Decision Trees. 38-54 - Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, Karl Aberer:
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience. 55-72 - Amrit Nagarajan, Anand Raghunathan:
Input Compression with Positional Consistency for Efficient Training and Inference of Transformer Neural Networks. 73-88 - Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang:
Individual Fairness with Group Awareness Under Uncertainty. 89-106 - Chen Jia:
Generalizing Reward Modeling for Out-of-Distribution Preference Learning. 107-124 - Haizhou Du, Zhiyuan Yang:
FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios. 125-141 - Pio Calderon, Marian-Andrei Rizoiu:
What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes. 142-160 - Yehui Xu, Xuejie Zhang, Jin Wang, Xiaobing Zhou:
Disagreement Evaluation of Solutions for Math Word Problem. 161-176 - Ning Zheng, Zhilong Shan:
Co-attention and Contrastive Learning Driven Knowledge Tracing. 177-194 - Shun Zhang, Chaoran Yan, Jian Yang, Wei Zhang, Changyu Ren, Tongliang Li, Jiaqi Bai, Zhoujun Li:
TiNID: A Transfer and Interpretable LLM-Enhanced Framework for New Intent Discovery. 195-212 - Hao Wang, Bin Guo, Mengqi Chen, Yasan Ding, Qiuyun Zhang, Ying Zhang, Zhiwen Yu:
Memory-Enhanced Emotional Support Conversations with Motivation-Driven Strategy Inference. 213-229 - Lily Hoang, Fiona Liausvia, Yan Liu, Thanh-Son Nguyen:
Semi-automated Construction of Complex Knowledge Base Question Answering Dataset Using Large Language Model. 230-248 - Dorcas Ofori-Boateng, Jaidev Goel, Ivor Cribben, Yulia R. Gel:
Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors. 249-264 - Ao Zhou, Bin Liu, Zhaoyang Peng, Jin Wang, Grigorios Tsoumakas:
Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. 265-281 - Feiyu Li, Hassan Habibi Gharakheili, Gustavo Batista:
Quantification Over Time. 282-299 - Franka Bause, Christian Permann, Nils M. Kriege:
Approximating the Graph Edit Distance with Compact Neighborhood Representations. 300-318 - Ken Yokoyama, Shinji Ito, Tatsuya Matsuoka, Kei Kimura, Makoto Yokoo:
Online $\textrm{L}^{\natural }$-Convex Minimization. 319-336 - Jasmin Viktoria Gritsch, Robert Legenstein, Ozan Özdenizci:
Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints. 337-354 - Yang He, Yuhan Wu, Junru Zhang, Yabo Dong:
LTCR: Long Temporal Characteristic Reconstruction for Segmentation in Contrastive Learning. 355-371 - Chong-Jiong Fan, Zhicheng Pan, Wenwen Sun, Chengcheng Yang, Wei-Neng Chen:
LATuner: An LLM-Enhanced Database Tuning System Based on Adaptive Surrogate Model. 372-388 - Haorui Li, Jie Shao, Xiangqiang Zeng, Hui Xu:
Improving Meta-learning for Few-Shot Text Classification via Label Propagation. 389-405 - Minh-Quang Nguyen, Duy-Cat Can, Hoang-Quynh Le:
Zero-cost Transition to Multi-document Processing in Summarization with Multi-Channel Attention. 406-422 - Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. 423-439 - Dragos Ristache, Fabian Spaeh, Charalampos E. Tsourakakis:
Wiser than the Wisest of Crowds: The Asch Effect and Polarization Revisited. 440-458
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