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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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Journal Papers
24
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Journal Papers
24
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Inconsistent Reasoning Attacks to Identify Weaknesses in Automatic Scientific Claim Verification Tools
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Islam, Md Athikul; Ellison, Noel; Lakha, Bishal; Serra, Edoardo
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FinCPRG: A Bidirectional Generation Pipeline for Hierarchical Queries and Rich Relevance in Financial Chinese Passage Retrieval
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Xu, Xuan; Chu, Beilin; Lin, Qinhong; Zhong, Yixiao; Wen, Fufang; Liu, Jiaqi; Fei, Binjie; Li, Yu; Yang, Zhongliang; Zhou, Linna
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Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Sipila, Mika; Nordhausen, Klaus; Taskineni, Sara
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Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Shao, Mingxing; Zhang, Tiancheng; Yu, Minghe; Liu, Zhenghao; Yin, Yifang; Liu, Hengyu; Yu, Ge
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MotiPlus and MotiSet: Discovering the Best Set of Motiflets in Time Series
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Feremans, Len; Schafer, Patrick; Meert, Wannes
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Going Offline: An Evaluation of the Offline PhaseinStream Clustering
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Jahn, Philipp; Durani, Walid; Leiber, Collin; Beer, Anna; Seidl, Thomas
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Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Granese, Federica; Navet, Benjamin; Villata, Serena; Bouveyron, Charles
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ECD: Efficient Contrastive Decoding with Probabilistic Hallucination Detection
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Fieback, Laura; Balar, Nishilkumar; Spiegelberg, Jakob; Gottschalk, Hanno
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A Scalable Model for Frequency Distribution of Low Occurrence Multi-words Towards Handling Very Large Spectrum of Text Corpora Sizes
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Silva, Joaquim F.; Cunha, Jose C.
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Understanding the Trade-Offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Sheinkman, Alisa; Wade, Sara
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On Training Survival Models with Scoring Rules
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Kopper, Philipp; Ruegamer, David; Sonabend, Raphael; Bischl, Bernd; Bender, Andreas
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Variance-Aware Noisy Training: Hardening DNNs Against Unstable Analog Computations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Wang, Xiao; Borrase, Hendrik; Klein, Bernhard; Froening, Holger
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Present and Future Generalization of Synthetic Image Detectors
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Bernabeu-Perez, Pablo; Lopez-Cuena, Enrique; Garcia-Gasulla, Dario
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Lattice Climber Attack: Adversarial Attacks for Randomized Mixtures of Classifiers
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Heredia, Lucas Gnecco; Negrevergne, Benjamin; Chevaleyre, Yann
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AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Fu, Lingyue; Long, Ting; Lin, Jianghao; Xia, Wei; Dai, Xinyi; Tang, Ruiming; Wang, Yasheng; Zhang, Weinan; Yu, Yong
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Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Lin, Fudong; Lou, Jiadong; Wang, Hao; Jalaian, Brian; Yuan, Xu
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Scaling Multi-label Conformal Prediction with Label Interactions for a Large Number of Labels
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Najjar, Ghassan; Berthou, Celine; Vorobieva, Helena
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Self-balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-kernel Estimation
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Ellendula, Aditya S.; Bajaj, Chandrajit
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Right on Time: Revising Time Series Models by Constraining Their Explanations
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Kraus, Maurice; Steinmann, David; Wuest, Antonia; Kokozinski, Andre; Kersting, Kristian
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PromptDSI: Prompt-Based Rehearsal-Free Continual Learning for Document Retrieval
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT VII
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2026-01-01
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Huynh, Tuan-Luc; Vu, Thuy-Trang; Wang, Weiqing; Wei, Yinwei; Le, Trung; Gasevic, Dragan; Li, Yuan -Fang; Do, Thanh-Toan
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