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ORCIDPKDD / ECML 2024: Vilnius, Lithuania - Part VI
- 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 VI. Lecture Notes in Computer Science 14946, Springer 2024, ISBN 978-3-031-70364-5
Research Track
- Sebastian Buschjäger:
Rejection Ensembles with Online Calibration. 3-20 - Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac:
Lighter, Better, Faster Multi-source Domain Adaptation with Gaussian Mixture Models and Optimal Transport. 21-38 - Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang:
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. 39-56 - Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. 57-73 - Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli:
Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis. 74-91 - Victor Quétu, Zhu Liao, Enzo Tartaglione:
The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks' Depth. 92-108 - Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang, Yunhao Sha:
Towards Few-Shot Self-explaining Graph Neural Networks. 109-126 - George Panagopoulos, Daniele Malitesta, Fragkiskos D. Malliaros, Jun Pang:
Uplift Modeling Under Limited Supervision. 127-144 - Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang:
Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. 145-162 - Ashish Kumar, Durga Toshniwal:
Modeling Text-Label Alignment for Hierarchical Text Classification. 163-179 - Khac-Hoang Ngo, Johan Östman, Giuseppe Durisi, Alexandre Graell i Amat:
Secure Aggregation Is Not Private Against Membership Inference Attacks. 180-198 - Nikolaos Karalis, Alexander Bigerl, Caglar Demir, Liss Heidrich, Axel-Cyrille Ngonga Ngomo:
Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning. 199-216 - Hirofumi Suzuki:
LayeredLiNGAM: A Practical and Fast Method for Learning a Linear Non-gaussian Structural Equation Model. 217-233 - A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh:
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. 234-250 - Yize Sui, Jing Ren, Huibin Tan, Huan Chen, Zhaoye Li, Ji Wang:
Enhancing LLM's Reliability by Iterative Verification Attributions with Keyword Fronting. 251-268 - Richard Serrano, Charlotte Laclau, Baptiste Jeudy, Christine Largeron:
Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport. 269-286 - Lukas Berner, Henning Meyerhenke:
Introducing Total Harmonic Resistance for Graph Robustness Under Edge Deletions. 287-302 - Juliane Weilbach, Sebastian Gerwinn, Karim Said Barsim, Martin Fränzle:
Counterfactual-Based Root Cause Analysis for Dynamical Systems. 303-319 - Benedikt Lütke Schwienhorst, Lucas Kock, Nadja Klein, David J. Nott:
Dropout Regularization in Extended Generalized Linear Models Based on Double Exponential Families. 320-336 - Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao:
GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. 337-353 - Bin Liu, Siqi Wu, Jin Wang, Xin Deng, Ao Zhou:
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction. 354-370 - Franka Bause, Samir Moustafa, Johannes Langguth, Wilfried N. Gansterer, Nils M. Kriege:
On the Two Sides of Redundancy in Graph Neural Networks. 371-388 - Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén:
Policy Control with Delayed, Aggregate, and Anonymous Feedback. 389-406 - Thibaut Chataing, Julien Perez, Marc Plantevit, Céline Robardet:
DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage Regularization. 407-422 - Changsheng Shui, Xiang Li, Jianpeng Qi, Guiyuan Jiang, Yanwei Yu:
Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation. 423-440 - Nirjhar Das, Gaurav Sinha:
Linear Contextual Bandits with Hybrid Payoff: Revisited. 441-455
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