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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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Journal Papers
26
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Journal Papers
26
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DeepCore: Simple Fingerprint Construction for Differentiating Homologous and Piracy Models
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Sun, Haifeng; Zhang, Lan; Li, Xiang-Yang
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Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Liu, Yibin; Li, Ang; Li, Shijian
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Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Quoc-Anh Hoang Nguyen; Hung The Tran; Gupta, Sunil; Le, Dung D.
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Sample and Expand: Discovering Low-Rank Submatrices With Quality Guarantees
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Ciaperoni, Martino; Gionis, Aristides; Mannila, Heikki
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Bounding-Box Watermarking: Defense Against Model Extraction Attacks on Object Detectors
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Koda, Satoru; Morikawa, Ikuya
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Variance-Based Defense Against Blended Backdoor Attacks
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Aseervatham, Sujeevan; Kerzazi, Achraf; Bennani, Younes
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Fast Proximal Gradient Methods with Node Pruning for Tree-Structured Sparse Regularization
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Ida, Yasutoshi; Kanai, Sekitoshi; Kumagai, Atsutoshi; Iwata, Tomoharu; Fujiwara, Yasuhiro
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Kang, Yu; Pan, Junwei; Jin, Jipeng; Huang, Shudong; Gao, Xiaofeng; Xiao, Lei
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TAMIS: Tailored Membership Inference Attacks on Synthetic Data
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Andrey, Paul; Le Bars, Batiste; Tommasi, Marc
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I Forgot About You: Exploring Multi-Label Unlearning (MLU) for Responsible Facial Recognition Systems
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Hossain, Prommy Sultana; Marasco, Emanuela; Lin, Jessica; King, Michael
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Provably Accurate Adaptive Sampling for Collocation Points in Physics-Informed Neural Networks
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Caradot, Antoine; Emonet, Remi; Habrard, Amaury; Mezidi, Abdel-Rahim; Sebban, Marc
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Fine-grained Representation Learning and Multi-view Collaborative Augmentation for Recommendation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Li, Huiting; Ma, Wenjun; Cai, Weishan; Jiang, Yuncheng
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Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Shi, Kexin; Wang, Wenjia; Jing, Bingyi
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The Role of Transformer Architecture in the Logic-as-Loss Framework
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Grespan, Mattia Medina; Srikumar, Vivek
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Time-Varying Gaussian Process Bandit Optimization with Experts: No-Regret in Logarithmically-Many Side Queries
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Mauduit, Eliabelle; Berthier, Eloise; Simonetto, Andrea
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Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Nken, Allassan Tchangmena A.; McKeever, Susan; Corcoran, Peter; Ullah, Ihsan
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Stealing Data from Active Party in Vertical Split Learning
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Liu, Yaxin; Xu, Xiaoyang; Yi, Wenzhe; Zhuang, Yong; Wang, Juan; Yang, Mengda; Li, Ziang
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Active Preference Optimization for Sample Efficient RLHF
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Das, Nirjhar; Chakraborty, Souradip; Pacchiano, Aldo; Chowdhury, Sayak Ray
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Hashing for Fast Pattern Set Selection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Karjalainen, Maiju; Miettinen, Pauli
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Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT V
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2026-01-01
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Lu, Fred; Curtin, Ryan R.; Raff, Edward; Ferraro, Francis; Holt, James
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