ECML-PKDD 2025
317 papers
A Benchmark to Evaluate LLMs' Proficiency on Italian Student Competencies
Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì, Antonio Serino, Andrea Seveso A Bilevel Reinforcement Learning Framework with Language Prior Knowledge
Xue Yan, Yan Song, Xinyu Cui, Filippos Christianos, Haifeng Zhang, Jun Wang, David Mguni A CNN-Based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
Arthur Buzelin, Pedro Dutenhefner, Turi Rezende, Luisa G. Porfírio, Pedro Bento, Yan Aquino, Jose Fernandes, Caio Santana, Gabriela Miana, Gisele L. Pappa, Antônio L. P. Ribeiro, Wagner Meira Jr. A Dynamic Ensemble and Replaying Model for Online Marine Sensor Data Prediction
Xiang Li, Xi Fu, Congqi Lin, Xiangkai Wang, Yuhang Zhang, Hao Wang, Zhigang Zhao, Meihong Yang, Yinglong Wang A QUBO Framework for Team Formation
Karan Vombatkere, Theodoros Lappas, Evimaria Terzi Active Preference Optimization for Sample Efficient RLHF
Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray Chowdhury Advanced Strategic Improvement with Decision Interactions
Wenjing Yang, Xinpeng Lv, Yunxin Mao, Liyang Xu, Ruochun Jin, Huan Chen, Jing Ren, Jinxuan Yang, Yuanlong Chen, Haotian Wang AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu AMST: Alternating Multimodal Skip Training
Hugo Manuel Alves Henriques e Silva, Hongguang Chen, Selpi Attribute-Aware Sequential Recommendation Model for Used Car Auctions
Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lukas Hestermeyer, Radoslaw Wlodarczyk, Maximilian Stubbemann, Lars Schmidt-Thieme Bandit Max-Min Fair Allocation
Tsubasa Harada, Shinji Ito, Hanna Sumita Bayesian Active Learning for Censored Regression
Frederik Boe Hüttel, Christoffer Riis, Filipe Rodrigues, Francisco C. Pereira Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation
Clive Tinashe Marimo, Benedikt Blumenstiel, Maximilian Nitsche, Johannes Jakubik, Thomas Brunschwiler Breaking Free: Decoupling Forced Systems with Laplace Neural Networks
Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla
Deeparghya Dutta Barua, Md Sakib Ul Rahman Sourove, Md Fahim, Fabiha Haider, Fariha Tanjim Shifat, Md Tasmim Rahman Adib, Anam Borhan Uddin, Md Farhan Ishmam, Md. Farhad Alam CNN-Transformer with Absolute Positional Encoding Optimized for Low-Dimensional Inputs: Applied to Estimate Sliding Drop Width
Sajjad Shumaly, Fahimeh Darvish, Mahsa Salehi, Navid Mohammadi Foumani, Oleksandra Kukharenko, Hans-Jürgen Butt, Ulrich Schwanecke, Rüdiger Berger Continual Visual Reinforcement Learning with a Life-Long World Model
Minting Pan, Wendong Zhang, Geng Chen, Xiangming Zhu, Siyu Gao, Yunbo Wang, Xiaokang Yang Cross-Domain Conditional Diffusion Models for Time Series Imputation
Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising
Baosheng Zhang, Liufang Sang, Haoran Wang, Wei Wang, Wenlong Chen, Changping Peng, Zhangang Lin, Jingping Shao, Jie He, Haoqian Wang, Yuchen Guo Density-Aware Walks for Coordinated Campaign Detection
Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas, Ahmet Erdem Sariyüce Diffusion Classifier Guidance for Non-Robust Classifiers
Philipp Väth, Dibyanshu Kumar, Benjamin Paassen, Magda Gregorová Do Protein Transformers Have Biological Intelligence?
Fudong Lin, Wanrou Du, Jinchan Liu, Tarikul I. Milon, Shelby Meche, Wu Xu, Xiaoqi Qin, Xu Yuan DPS: Diverse Prototype Selection for Adaptive In-Context Learning
Xuanbo Fan, Kaiyuan Li, Hao Sun, Boci Peng, Zhenrong Cheng, Yan Zhang Efficient Bayesian Updates for Deep Active Learning via Laplace Approximations
Denis Huseljic, Marek Herde, Lukas Rauch, Paul Hahn, Zhixin Huang, Daniel Kottke, Stephan Vogt, Bernhard Sick EM-SEC: Efficient Multi-Head Set-Valued Evidential Classification
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier Enforcing Vector Space Stability in Embeddings with Evolving Vocabularies: A Web-App Behavior Perspective
Asier Rodríguez-González, Ignacio Sisamón Serrano, Ignacio Esplugues Conca, Daniel Sánchez Santolaya, Joel Medina Sánchez ETT-CKGE: Efficient Task-Driven Tokens for Continual Knowledge Graph Embedding
Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao, Shuteng Niu Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization
Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio Fair Associative Co-Clustering
Federico Peiretti, Ruggero G. Pensa Fairbeat: Assessing and Mitigating Bias with the Composite Balance Score
Pierre-Antoine Lequeu, Sofiane Lagraa, Geoffroy Robin, Moussa Ouedraogo Fairness Is in the Details : Face Dataset Auditing
Valentin Lafargue, Emmanuelle Claeys, Jean-Michel Loubes Fairness-Aware Graph Representation Learning with Limited Demographic Information
Zichong Wang, Zhipeng Yin, Liping Yang, Jun Zhuang, Rui Yu, Qingzhao Kong, Wenbin Zhang FedRNL: Federated Rationalization with Soft Parameter Sharing
Lingxiao Kong, Jiahui Jiang, Haozhao Wang, Lei Wu, Ruixuan Li Few-Shot Graph Out-of-Distribution Detection with LLMs
Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao Fine-Tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
Francesc Marti Escofet, Benedikt Blumenstiel, Linus Scheibenreif, Paolo Fraccaro, Konrad Schindler Forecasting Irregularly Sampled Time Series with Transformer Encoders
Riccardo Benassi, Francesco Del Buono, Giacomo Guiduzzi, Francesco Guerra Future Designer - Generative AI Meets Interior Design
Filip Nowicki, Arkadiusz Charlinski, Andrzej Wójtowicz Gradient Similarity Surgery in Multi-Task Deep Learning
Thomas Borsani, Andrea Rosani, Giuseppe Nicosia, Giuseppe Di Fatta Graph Neural Network Leveraging Higher-Order Class Label Connectivity for Heterophilous Graphs
Takuto Takahashi, Itsuki Nakayama, Takahiro Mitani, Ryosuke Kikuchi, Yuya Sasaki, Makoto Onizuka Grouped Discrete Representation for Object-Centric Learning
Rongzhen Zhao, Vivienne Wang, Juho Kannala, Joni Pajarinen How Useful Is Graph Pooling for Node-Level Tasks?
Yijun Duan, Xin Liu, Steven J. Lynden, Akiyoshi Matono, Qiang Ma Hybrid Cross-Domain Robust Reinforcement Learning
Linh Le Pham Van, Minh Hoang Nguyen, Hung Le, Hung The Tran, Sunil Gupta Improving Discriminator Guidance in Diffusion Models
Alexandre Verine, Mehdi Inane, Florian Le Bronnec, Benjamin Négrevergne, Yann Chevaleyre Interpretable Hybrid-Rule Temporal Point Processes
Yunyang Cao, Juekai Lin, Hongye Wang, Wenhao Li, Bo Jin Introducing Pyra: A High-Level Linter for Data Science Software
Greta Dolcetti, Vincenzo Arceri, Antonella Mensi, Enea Zaffanella, Caterina Urban, Agostino Cortesi KANITE: Kolmogorov-Arnold Networks for ITE Estimation
Eshan Mehendale, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation
Muhammad Haseeb Aslam, Clara Martinez, Marco Pedersoli, Alessandro Lameiras Koerich, Ali Etemad, Eric Granger Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach
Mohamed Hassouna, Clara Holzhüter, Malte Lehna, Matthijs de Jong, Jan Viebahn, Bernhard Sick, Christoph Scholz Leveraging Gradient Information for Out-of-Domain Performance Estimations
Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing
Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu Longitudinal Surveys Are Texts: LLM-Enhanced Analysis of School Attendance in New Zealand
Tingrui Qiao, Caroline Walker, Chris Cunningham, Adam Jang-Jones, Susan M. B. Morton, Kane Meissel, Yun Sing Koh Low Visibility Forecasting Using Numerical Weather Prediction Data
Topon Kumar Paul, Vidhisha Reddy, Sai Prem Kumar Ayyagari, Ryusei Shingaki, Kaneharu Nishino, Yoshiaki Shiga Machine Learning for Data Streams with CapyMOA
Yibin Sun, Heitor Murilo Gomes, Anton Lee, Nuwan Gunasekara, Guilherme Weigert Cassales, Justin Liu, Marco Heyden, Vítor Cerqueira, Maroua Bahri, Yun Sing Koh, Bernhard Pfahringer, Albert Bifet MAINLE: A Multi-Agent, Interactive, Natural Language Local Explainer of Classification Tasks
Paulo Bruno S. Serafim, Rômulo Férrer Filho, Stenio Freitas, Gizem Gezici, Fosca Giannotti, Franco Raimondi, Alexandre Santos MalGPT: A Generative Explainable Model for Malware Binaries
Mohd Saqib, Benjamin C. M. Fung, Steven H. H. Ding, Philippe Charland MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series
Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek Memory-Enhanced Invariant Prompt Learning for Urban Flow Prediction Under Distribution Shifts
Haiyang Jiang, Tong Chen, Wentao Zhang, Quoc Viet Hung Nguyen, Yuan Yuan, Yong Li, Hongzhi Yin Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction
Claudio Moroni, Claudio Borile, Carolina Mattsson, Michele Starnini, André Panisson On the Performance of LLMs for Real Estate Appraisal
Margot Geerts, Manon Reusens, Bart Baesens, Seppe vanden Broucke, Jochen De Weerdt On Training Survival Models with Scoring Rules
Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl, Andreas Bender P2NIA: Privacy-Preserving Non-Iterative Auditing
Jade Garcia Bourrée, Hadrien Lautraite, Sébastien Gambs, Gilles Trédan, Erwan Le Merrer, Benoît Rottembourg Personalized Contest Recommendation in Fantasy Sports
Madiraju Srilakshmi, Kartavya Kothari, Kamlesh Marathe Present and Future Generalization of Synthetic Image Detectors
Pablo Bernabeu-Perez, Enrique Lopez-Cuena, Dario Garcia-Gasulla PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval
Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Yinwei Wei, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do Queryable and Interpretable PU Learning Through Probabilistic Circuits
Sieben Bocklandt, Vincent Derkinderen, Koen Vanderstraeten, Wouter Pijpops, Kurt Jaspers, Luc De Raedt, Wannes Meert RAID: Root Cause Anomaly Identification and Diagnosis
Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, Minqi Wang, Nicolas Marrot, Raouf Boutaba Redefining Fairness: A Multi-Dimensional Perspective and Integrated Evaluation Framework
Zichong Wang, Zhipeng Yin, Zhen Liu, Roland H. C. Yap, Xiaocai Zhang, Shu Hu, Wenbin Zhang Reward Shaping for User Satisfaction
Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen Right on Time: Revising Time Series Models by Constraining Their Explanations
Maurice Kraus, David Steinmann, Antonia Wüst, Andre Kokozinski, Kristian Kersting Safe Screening Rules for Group SLOPE
Runxue Bao, Quanchao Lu, Yanfu Zhang Self-Generated Cross-Modal Prompt Tuning
Guiming Cao, Zonghan Wu, Huan Huo, Yuming Ou, Guandong Xu Single-Fold Distillation for Diffusion Models
Chi Hong, Jiyue Huang, Robert Birke, Dick H. J. Epema, Stefanie Roos, Lydia Y. Chen ST-LoRA: Low-Rank Adaptation for Spatio-Temporal Forecasting
Weilin Ruan, Wei Chen, Xilin Dang, Jianxiang Zhou, Weichuang Li, Xu Liu, Yuxuan Liang Stable Vision Concept Transformers for Medical Diagnosis
Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang Stealing Data from Active Party in Vertical Split Learning
Yaxin Liu, Xiaoyang Xu, Wenzhe Yi, Yong Zhuang, Juan Wang, Mengda Yang, Ziang Li Supply Framework of Physical Machine Demand in Elastic Computing Service
Zhanyu Liu, Xudong Zhang, Zhidong Hu, Xiejing Li, Fei Peng, Jian Zhou, Siyu Deng, Guanjie Zheng T-REX: Table - Refute or Entail eXplainer
Tim Luka Horstmann, Baptiste Geisenberger, Mehwish Alam Text Mining from Migration Narratives
David Ing, Fabien Delorme, Saïd Jabbour, Nelly Robin, Lakhdar Sais TIDS: A Thermal Imaging Dataset for Subclinical Mastitis in Dairy Sheep
Georgios Botsoglou, Marios Lysitsas, Dimitris Dimitriadis, Constantina N. Tsokana, George Valiakos, Grigorios Tsoumakas Time Series Machine Learning with Aeon: Classification and Regression
Matthew Middlehurst, Anthony J. Bagnall, Germain Forestier, Ali Ismail-Fawaz, Antoine Guillaume Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models
Francesco De Santis, Philippe Bich, Gabriele Ciravegna, Pietro Barbiero, Tania Cerquitelli, Danilo Giordano Trajectory Imputation in Multi-Agent Sports with Derivative-Accumulating Self-Ensemble
Han-Jun Choi, Hyunsung Kim, Minho Lee, Minchul Jeong, Changjo Kim, Jinsung Yoon, Sang-Ki Ko Transaction Categorization with Relational Deep Learning in QuickBooks
Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh V. Chawla, Kamalika Das Tree-Based OWL Class Expression Learner over Large Graphs
Caglar Demir, Moshood Yekini, Michael Röder, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo TreeDiffusion: Hierarchical Generative Clustering for Conditional Diffusion
Jorge da Silva Goncalves, Laura Manduchi, Moritz Vandenhirtz, Julia E. Vogt Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
Peijin Guo, Minghui Li, Hewen Pan, Bowen Chen, Yang Wu, Zikang Guo, Leo Yu Zhang, Shengshan Hu, Shengqing Hu Understanding Rumen Methanogen Interactions in Sheep Using Machine Learning
Katharina Dost, Steffen Albrecht, Paul H. Maclean, Jörg Wicker, Sandeep K. Gupta Unsupervised Surrogate Anomaly Detection
Simon Klüttermann, Tim Katzke, Emmanuel Müller Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection
Haokai Zhang, Shengtao Zhang, Zijian Cai, Heng Wang, Ruixuan Zhu, Zinan Zeng, Minnan Luo VisualTreeSearch: Understanding Web Agent Test-Time Scaling
Danqing Zhang, Yaoyao Qian, Shiying He, Yuanli Wang, Jingyi Ni, Junyu Cao What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Sander Noels, Guillaume Bied, Maarten Buyl, Alexander Rogiers, Yousra Fettach, Jefrey Lijffijt, Tijl De Bie