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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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Journal Papers
29
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Journal Papers
29
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DPS: Diverse Prototype Selection for Adaptive In-Context Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Fan, Xuanbo; Li, Kaiyuan; Sun, Hao; Peng, Boci; Cheng, Zhenrong; Zhang, Yan
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How CNNs and ViTs Perceive Similarities Between Categories
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Filus, Katarzyna; Domanska, Joanna
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Learning Overspecified Gaussian Mixtures Exponentially Fast with the EM Algorithm
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Assylbekov, Zhenisbek; Legg, Alan; Pak, Artur
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Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-Guidance Fusion
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Shou, Yuntao; Meng, Tao; Ai, Wei; Li, Keqin
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FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Fragkathoulas, Christos; Papanikou, Vasiliki; Pitoura, Evaggelia; Terzi, Evimaria
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The Vanishing Empirical Variance in Randomly Initialized Deep ReLU Networks
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Grzejdziak-Zdziarski, Michal; Tax, David M. J.; Loog, Marco
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Pareto Multi-objective Alignment for Language Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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He, Qiang; Maghsudi, Setareh
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Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Ashkenazi, Maor; Brenner, Ofir; Shohet, Tal Furman; Treister, Eran
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Bandit Max-Min Fair Allocation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Harada, Tsubasa; Ito, Shinji; Sumita, Hanna
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IntentBreaker: Intent-Adaptive Jailbreak Attack on Large Language Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Guo, Shengnan; Zhai, Yuchen; Zhang, Shenyi; Zhao, Lingchen; Wang, Zhangyi
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Few-Shot Graph Out-of-Distribution Detection with LLMs
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Xu, Haoyan; Yao, Zhengtao; Dong, Yushun; Wang, Ziyi; Rossi, Ryan; Li, Mengyuan; Zhao, Yue
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Faithful Explanations for Graph Classification Using Logic
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Ragno, Alessio; Plantevit, Marc; Robardet, Celine
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On Trustworthy Rule-Based Models and Explanations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Siala, Mohamed; Planes, Jordi; Marques-Silva, Joao
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MalGPT: A Generative Explainable Model for Malware Binaries
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
1
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Saqib, Mohd; Fung, Benjamin C. M.; Ding, StevenH. H.; Charland, Philippe
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Missing but Not Missed: On Learnability Under Imputation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Campagner, Andrea
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Balanced and Token-Efficient Summarization of User Reviews via Stratified Sampling and Large Language Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Marozzo, Fabrizio; Belcastro, Loris; Cosentino, Cristian; Lio, Pietro
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Interpretable Instance-Based Learning Through Pairwise Distance Trees
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Fedele, Andrea; Cascione, Alessio; Guidotti, Riccardo; Landi, Cristiano
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AMST: Alternating Multimodal Skip Training
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Alves Henriques e Silva, Hugo Manuel; Chen, Hongguang; Selpi
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MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Pludowski, Dawid; Spinnato, Francesco; Wilczynski, Piotr; Kotowski, Krzysztof; Ntagiou, Evridiki Vasileia; Guidotti, Riccardo; Biecek, Przemyslaw
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Gathering and Exploiting Higher-Order Information when Training Large Structured Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT IV
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2026-01-01
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Wolinski, Pierre
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