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ECML-PKDD 2025

A

European Conference on Machine Learning and 25th Principles and Practice of Knowledge Discovery in Databases

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524
accepted papers
511
authors
September 15-19, 2025
dates
Portugal
location

524 / 524 papers

  1. 1
    "I Forgot About You": Exploring Multi-Label Unlearning (MLU) for Responsible Facial Recognition Systems
    Prommy Sultana Hossain
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  2. 2
    A Benchmark to Evaluate LLMs' Proficiency on Italian Student Competencies
    Fabio Mercorio
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  3. 3
    A Bilevel Reinforcement Learning Framework with Language Prior Knowledge
    Xue Yan
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  4. 4
    A Case Study in Explainable AI for Drug-Drug Interaction Prediction: A SHAP-Based Approach
    Muna Shati
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  5. 5
    A CNN-Based Local-Global Self-attention via Averaged Window Embeddings for Hierarchical ECG Analysis
    Arthur Buzelin
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  6. 6
    A Comparative Study on the Responsible Use of Public LLMs for Self-diagnosis
    Nikil Sharan Prabahar Balasubramanian
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  7. 7
    A Complementarity-Enhanced Mixture of Human-AI Teams for Decision-Making
    Hefei Liang
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  8. 8
    A Concept-Based Approach to Voice Disorder Detection
    Davide Ghia
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  9. 9
    A Dual-Channel Heterogeneous Hypergraph Convolutional Network for Dual-target Cross-domain Recommendation
    Moyu Zhang
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  10. 10
    A Dynamic Ensemble and Replaying Model for Online Marine Sensor Data Prediction
    Xiang Li
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  11. 11
    A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry
    Lorenzo Riccardo Allegrini
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  12. 12
    A Multi-Modal Spatial Risk Framework for EV Charging Infrastructure Using Remote Sensing
    Oktay Karakus
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  13. 13
    A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption
    Khoa Nguyen
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  14. 14
    A QUBO Framework for Team Formation
    Karan Vombatkere
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  15. 15
    A Real-Time Pipeline for Anomaly Detection and Explanation in Streaming Data
    Florentin Flambeau Jiechieu Kameni
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  16. 16
    A Real-World Deployment of Federated Learning for Residential Solar PV Power Forecasting
    Frederick Apina
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  17. 17
    A Reliable Remote Sensing-Based Framework for Vessel Detection
    Abubaker Gaber
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  18. 18
    A Representation-Level Assessment of Bias Mitigation in Foundation Models
    Svetoslav Nizhnichenkov
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  19. 19
    A Scalable Approach for Unified Large Events Models in Soccer
    Tiago Mendes-Neves
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  20. 20
    A Scalable Model for Frequency Distribution of Low Occurrence Multi-words Towards Handling Very Large Spectrum of Text Corpora Sizes
    Joaquim F. Silva
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  21. 21
    A Spatio-Temporal Transformer Model for Node Attribute Prediction in Dynamic Graphs
    Namrata Banerji
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  22. 22
    A True-to-the-Model Benchmark for Edge-Level Attributions of GNN Explainers
    Francesco Paolo Nerini
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  23. 23
    A Unified View of Abstract Visual Reasoning Problems
    Mikolaj Malkinski
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  24. 24
    AB-STE: Adaptive Blended Gradient Estimation for Efficient Binarized Networks
    Siddharth Gupta
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  25. 25
    Achieving Flexible Local Differential Privacy in Federated Learning via Influence Functions
    Alycia N. Carey
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  26. 26
    Active Learning for Cheap RUL Prediction in CMAPSS Dataset
    Esmaail Albarazi
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  27. 27
    Active Preference Optimization for Sample Efficient RLHF
    Nirjhar Das
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  28. 28
    ActiveVisium: Leveraging Active Learning to Enhance Manual Pathologist Annotation in 10x Visium Spatial Transcriptomics Experiments
    Jelica Vasiljevic
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  29. 29
    Adaptable Hindsight Experience Replay for Search-Based Learning
    Alexandros Vazaios
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  30. 30
    Adapting Stable Diffusion Models for Domain-Specific Medical Imaging: A Case Study in Synthetic Retinal Fundus Image Generation
    Ivo S. Façoco
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  31. 31
    Adaptive Multi-space Defense Framework Against Adversarial Attacks
    Xiaohui Yu
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  32. 32
    Adaptive Options for Decision Trees in Evolving Data Stream Classification
    Daniel Nowak Assis
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  33. 33
    Advanced Strategic Improvement with Decision Interactions
    Wenjing Yang
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  34. 34
    Advancing Multi-step Mathematical Reasoning in Large Language Models Through Multi-layered Self-reflection with Auto-prompting
    André de Souza Loureiro
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  35. 35
    AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
    Lingyue Fu
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  36. 36
    Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations
    Kexin Shi
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  37. 37
    Aligning AI Explanations with User Needs: A Qualitative Study of XAI Methods
    Ivania Donoso-Guzmán
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  38. 38
    Alignment of Multiple Item Set Sequences for Apnea Detection
    Dries Van der Plas
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  39. 39
    Alternate Geometric and Semantic Denoising Diffusion for Protein Inverse Folding
    Chenglin Wang
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  40. 40
    AMST: Alternating Multimodal Skip Training
    Hugo Manuel Alves Henriques e Silva
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  41. 41
    An (ε ,δ )-Accurate Level Set Estimation with a Stopping Criterion
    Hideaki Ishibashi
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  42. 42
    An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification
    Nikos Papadeas
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  43. 43
    An Empirical Evaluation of Foundation Models for Multivariate Time Series Classification
    Pinar Sungu Isiacik
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  44. 44
    An Empirical Investigation of Gender Stereotype Representation in Large Language Models: The Italian Case
    Gioele Giachino
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  45. 45
    An LLM-Based Decision Support System for Strategic Decision-Making
    Majd Alkayyal
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  46. 46
    An Object-Level Entropy-Based Adversarial Attack for Image Privacy
    Wasaif Alsolami
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  47. 47
    An Optimization Framework for Automated Assessment of Biological Plausibility of Spiking Neurons
    Sven Nitzsche
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  48. 48
    Analyzing and Correcting Biased Machine Learning-Based Tuning of Weight Shrinkage in Forecast Combination
    Veronika Wachslander
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  49. 49
    AnomalyExplainerBot: Explainable AI for LLM-Based Anomaly Detection Using BERTViz and Captum
    Prasasthy Balasubramanian
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  50. 50
    Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K Forms
    Lucas G. Uberti-Bona Marin
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