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ECML-PKDD 2024

A

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

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415
accepted papers
394
authors
September 9-13, 2024
dates
Lithuania
location

415 / 415 papers

  1. 1
    "Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions
    Marco Favier
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  2. 2
    A Benchmark Suite for Verifying Neural Anomaly Detectors in Distillation Processes
    Simon Lutz
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  3. 3
    A Clustering-Based Algorithm for Fast Anomaly Detection in Hyperspectral Images
    Mark Last
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  4. 4
    A Comparative Analysis of Wealth Index Predictions in Africa Between Three Multi-source Inference Models
    Márton Karsai
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  5. 5
    A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
    Haomin Yu
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  6. 6
    A Deep Cut Into Split Federated Self-Supervised Learning
    Marcin Przewiezlikowski
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  7. 7
    A Deep Learning-Based Approach for Mangrove Monitoring
    Lucas José Velôso de Souza
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  8. 8
    A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision
    Wiem Ben Rim
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  9. 9
    A Machine-Learning-Based Digital Music Interface for Motor Rehabilitation
    Raquel Lucena
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  10. 10
    A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization
    Xiliang Yang
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  11. 11
    A Merge Sort Based Ranking System for the Evaluation of Large Language Models
    Chenchen Li
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  12. 12
    A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data
    Anis Fradi
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  13. 13
    A Parallel, Geometric Algorithm for Transformed Pattern Matching in Polyphonic Music
    David Meredith
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  14. 14
    A Probabilistic Model Based on Implication-Realization Theory Towards Evaluation of Melodic Naturalness
    Kentaro Kamaishi
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  15. 15
    A SAT-Based Approach to Rigorous Verification of Bayesian Networks
    Ignacy Stepka
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  16. 16
    A Socioinformatic Approach to xAI
    Alexander Wilhelm
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  17. 17
    A Study on Visualization of Music for Scores and Performances Based on Chironomie
    Shinji Sako
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  18. 18
    A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint
    Jordan Patracone
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  19. 19
    A Unified Contrastive Loss for Self-training
    Aurélien Gauffre
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  20. 20
    A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation
    Yongkang Liu
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  21. 21
    Achieving Counterfactual Explanation for Sequence Anomaly Detection
    He Cheng
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  22. 22
    Achieving Long-Term Time Series Forecasting Models with Fewer Than 1k Parameters Through Dynamic Sparse Training
    Qiao Xiao
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  23. 23
    Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
    Arthur Thuy
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  24. 24
    AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
    Pengxiang Wang
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  25. 25
    Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs
    Zhakshylyk Nurlanov
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  26. 26
    Adaptive Knowledge Distillation for Classification of Hand Images Using Explainable Vision Transformers
    Thanh Thi Nguyen
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  27. 27
    Adaptive Seasonal-Trend Decomposition for Streaming Time Series Data with Transitions and Fluctuations in Seasonality
    Thanapol Phungtua-Eng
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  28. 28
    Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers
    Zahra Atashgahi
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  29. 29
    Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    Yuxin Guo
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  30. 30
    ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference
    Xiangyu Zheng
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  31. 31
    Advancing Graph Counterfactual Fairness Through Fair Representation Learning
    Zichong Wang
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  32. 32
    Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches
    Chetraj Pandey
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  33. 33
    Adversarial Robustness of Variational Autoencoders Across Intersectional Subgroups
    Chethan Krishnamurthy Ramanaik
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  34. 34
    AEMLO: AutoEncoder-Guided Multi-label Oversampling
    Ao Zhou
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  35. 35
    AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries
    Tom Bamford
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  36. 36
    AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation
    Qing En
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  37. 37
    An Empirical Study of Feature Dynamics During Fine-Tuning
    Hamed Behzadi-Khormouji
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  38. 38
    An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
    Mustafa Cavus
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  39. 39
    An Interactive Tool for Interpretability of Time Series Classification
    Brigt Arve Toppe Håvardstun
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  40. 40
    ApmNet: Toward Generalizable Visual Continuous Control with Pre-trained Image Models
    Haitao Wang
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  41. 41
    Applying Textual Inversion to Control and Personalize Text-to-Music Models
    Carl Thomé
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  42. 42
    Approximating the Graph Edit Distance with Compact Neighborhood Representations
    Franka Bause
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  43. 43
    Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs
    Benjamin Girault
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  44. 44
    ART: Actually Robust Training
    Sebastian Chwilczynski
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  45. 45
    Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization
    Haoyu Sun
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  46. 46
    Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings
    Fabian Stermann
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  47. 47
    Autoassociative Random Forest Clustering
    Robbe D'hondt
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  48. 48
    Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
    Matthias König
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  49. 49
    Backdoor Attacks with Input-Unique Triggers in NLP
    Xukun Zhou
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  50. 50
    Bagel: A Benchmark for Assessing Graph Neural Network Explanations
    Mandeep Rathee
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