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ORCIDPKDD / ECML 2024: Vilnius, Lithuania - Part VII
- 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 VII. Lecture Notes in Computer Science 14947, Springer 2024, ISBN 978-3-031-70367-6
Research Track
- Philipp Jahn, Christian M. M. Frey, Anna Beer, Collin Leiber, Thomas Seidl:
Data with Density-Based Clusters: A Generator for Systematic Evaluation of Clustering Algorithms. 3-21 - Minting Pan, Yitao Zheng, Yunbo Wang, Xiaokang Yang:
Model-Based Reinforcement Learning with Multi-task Offline Pretraining. 22-39 - Zichong Wang, Zhibo Chu, Ronald Blanco, Zhong Chen, Shu-Ching Chen, Wenbin Zhang:
Advancing Graph Counterfactual Fairness Through Fair Representation Learning. 40-58 - Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella:
Continuously Deep Recurrent Neural Networks. 59-73 - Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan:
Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator. 74-91 - William Jobson Pargeter, Rolf Backofen, Van Dinh Tran:
CRISPert: A Transformer-Based Model for CRISPR-Cas Off-Target Prediction. 92-104 - Yurui Lai, Taiyan Zhang, Rui Fan:
Improved Topology Features for Node Classification on Heterophilic Graphs. 105-123 - Maiju Karjalainen, Esther Galbrun, Pauli Miettinen:
Fast Redescription Mining Using Locality-Sensitive Hashing. 124-142 - Arnaud Pannatier, Evann Courdier, François Fleuret:
σ-GPTs: A New Approach to Autoregressive Models. 143-159 - Ewoenam Kwaku Tokpo, Toon Calders:
FairFlow: An Automated Approach to Model-Based Counterfactual Data Augmentation for NLP. 160-176 - Andrzej Dulny, Paul Heinisch, Andreas Hotho, Anna Krause:
GrINd: Grid Interpolation Network for Scattered Observations. 177-193 - Faraz Khoshbakhtian, Gaurav Oberoi, Dionne M. Aleman, Siddhartha Asthana:
MEGA: Multi-encoder GNN Architecture for Stronger Task Collaboration and Generalization. 194-208 - Raphael Fischer, Marcel Wever, Sebastian Buschjäger, Thomas Liebig:
MetaQuRe: Meta-learning from Model Quality and Resource Consumption. 209-226 - Mengyang Chen, Lingwei Wei, Han Cao, Wei Zhou, Zhou Yan, Songlin Hu:
Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection. 227-244 - Alexandre Audibert, Aurélien Gauffre, Massih-Reza Amini:
Exploring Contrastive Learning for Long-Tailed Multi-label Text Classification. 245-261 - Ekansh Sharma, Devin Kwok, Tom Denton, Daniel M. Roy, David Rolnick, Gintare Karolina Dziugaite:
Simultaneous Linear Connectivity of Neural Networks Modulo Permutation. 262-279 - Denis Huseljic, Paul Hahn, Marek Herde, Lukas Rauch, Bernhard Sick:
Fast Fishing: Approximating Bait for Efficient and Scalable Deep Active Image Classification. 280-296 - Florian Chen, Felix Weitkämper, Sagar Malhotra:
Understanding Domain-Size Generalization in Markov Logic Networks. 297-314 - Gaia Saveri, Luca Bortolussi:
Retrieval-Augmented Mining of Temporal Logic Specifications from Data. 315-331 - Magamed Taimeskhanov, Ronan Sicre, Damien Garreau:
CAM-Based Methods Can See Through Walls. 332-348 - Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, Markus Schedl:
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. 349-365 - Yuhe Bai, Camélia Constantin, Hubert Naacke:
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings. 366-382 - Matthias König, Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn:
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks. 383-398 - Zhiqiang Zhong, Davide Mottin:
Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. 399-415 - Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti:
Interpretable and Fair Mechanisms for Abstaining Classifiers. 416-433 - Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Alexandra Bekiaridou, Keno K. Bressem, Stavros Zanos, Felix A. Gers, Wolfgang Nejdl, Alexander Löser:
Boosting Long-Tail Data Classification with Sparse Prototypical Networks. 434-449
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