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ECML-PKDD 2024

A

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

Official site ↗
415
accepted papers
1,540
authors
September 9-13, 2024
dates
Lithuania
location

300 / 415 papers

  1. 1
    "Patriarchy Hurts Men Too." Does Your Model Agree? A Discussion on Fairness Assumptions
    Marco Favier
    ,
    Toon Calders
  2. 2
    A Benchmark Suite for Verifying Neural Anomaly Detectors in Distillation Processes
    Simon Lutz
    ,
    Justus Arweiler
    ,
    Aparna Muraleedharan
    ,
    Niklas Kahlhoff
    ,
    Fabian Hartung
    ,
    Indra Jungjohann
    ,
    Mayank Nagda
    ,
    Daniel Reinhardt
    ,
    Dennis Wagner
    ,
    Jennifer Werner
    ,
    Justus C. Will
    ,
    Jakob Burger
    ,
    Michael Bortz
    ,
    Hans Hasse
    ,
    Sophie Fellenz
    ,
    Fabian Jirasek
    ,
    Marius Kloft
    ,
    Heike Leitte
    ,
    Stephan Mandt
    ,
    Steffen Reithermann
    ,
    Jochen Schmid
    ,
    Daniel Neider
  3. 3
    A Clustering-Based Algorithm for Fast Anomaly Detection in Hyperspectral Images
    Mark Last
  4. 4
    A Comparative Analysis of Wealth Index Predictions in Africa Between Three Multi-source Inference Models
    Márton Karsai
    ,
    János Kertész
    ,
    Lisette Espín-Noboa
  5. 5
    A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
    Haomin Yu
    ,
    Yanru Song
    ,
    Jilin Hu
    ,
    Chenjuan Guo
    ,
    Bin Yang
    ,
    Christian S. Jensen
  6. 6
    A Deep Cut Into Split Federated Self-Supervised Learning
    Marcin Przewiezlikowski
    ,
    Marcin Osial
    ,
    Bartosz Zielinski
    ,
    Marek Smieja
  7. 7
    A Deep Learning-Based Approach for Mangrove Monitoring
    Lucas José Velôso de Souza
    ,
    Ingrid Valverde Reis Zreik
    ,
    Adrien Salem-Sermanet
    ,
    Nacéra Seghouani
    ,
    Lionel Pourchier
  8. 8
    A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision
    Wiem Ben Rim
    ,
    Ammar Shaker
    ,
    Zhao Xu
    ,
    Kiril Gashteovski
    ,
    Bhushan Kotnis
    ,
    Carolin Lawrence
    ,
    Jürgen Quittek
    ,
    Sascha Saralajew
  9. 9
    A Machine-Learning-Based Digital Music Interface for Motor Rehabilitation
    Raquel Lucena
    ,
    Rafael Ramírez
  10. 10
    A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency Regularization
    Xiliang Yang
    ,
    Shenyang Deng
    ,
    Shicong Liu
    ,
    Yuanchi Suo
    ,
    Wing W. Y. Ng
    ,
    Jianjun Zhang
  11. 11
    A Merge Sort Based Ranking System for the Evaluation of Large Language Models
    Chenchen Li
    ,
    Linfeng Shi
    ,
    Chunyi Zhou
    ,
    Zhaoxin Huan
    ,
    Chengfu Tang
    ,
    Xiaolu Zhang
    ,
    Xudong Wang
    ,
    Jun Zhou
    ,
    Song Liu
  12. 12
    A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data
    Anis Fradi
    ,
    Chafik Samir
  13. 13
    A Parallel, Geometric Algorithm for Transformed Pattern Matching in Polyphonic Music
    David Meredith
  14. 14
    A Probabilistic Model Based on Implication-Realization Theory Towards Evaluation of Melodic Naturalness
    Kentaro Kamaishi
    ,
    Masatoshi Hamanaka
    ,
    Hajime Murai
    ,
    Keiji Hirata
  15. 15
    A SAT-Based Approach to Rigorous Verification of Bayesian Networks
    Ignacy Stepka
    ,
    Nicholas Gisolfi
    ,
    Artur Dubrawski
  16. 16
    A Socioinformatic Approach to xAI
    Alexander Wilhelm
    ,
    Katharina A. Zweig
  17. 17
    A Study on Visualization of Music for Scores and Performances Based on Chironomie
    Shinji Sako
    ,
    Kana Tatsumi
    ,
    Rafael Ramirez
  18. 18
    A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint
    Jordan Patracone
    ,
    Paul Viallard
    ,
    Emilie Morvant
    ,
    Gilles Gasso
    ,
    Amaury Habrard
    ,
    Stéphane Canu
  19. 19
    A Unified Contrastive Loss for Self-training
    Aurélien Gauffre
    ,
    Julien Horvat
    ,
    Massih-Reza Amini
  20. 20
    A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation
    Yongkang Liu
    ,
    Ercong Nie
    ,
    Shi Feng
    ,
    Zheng Hua
    ,
    Zifeng Ding
    ,
    Daling Wang
    ,
    Yifei Zhang
    ,
    Hinrich Schütze
  21. 21
    Achieving Counterfactual Explanation for Sequence Anomaly Detection
    He Cheng
    ,
    Depeng Xu
    ,
    Shuhan Yuan
    ,
    Xintao Wu
  22. 22
    Achieving Long-Term Time Series Forecasting Models with Fewer Than 1k Parameters Through Dynamic Sparse Training
    Qiao Xiao
    ,
    Boqian Wu
    ,
    Mykola Pechenizkiy
    ,
    Decebal Constantin Mocanu
  23. 23
    Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
    Arthur Thuy
    ,
    Ekaterina Loginova
    ,
    Dries F. Benoit
  24. 24
    AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
    Pengxiang Wang
    ,
    Hongbo Bo
    ,
    Jun Hong
    ,
    Weiru Liu
    ,
    Kedian Mu
  25. 25
    Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs
    Zhakshylyk Nurlanov
    ,
    Frank R. Schmidt
    ,
    Florian Bernard
  26. 26
    Adaptive Knowledge Distillation for Classification of Hand Images Using Explainable Vision Transformers
    Thanh Thi Nguyen
    ,
    Campbell Wilson
    ,
    Janis Dalins
  27. 27
    Adaptive Seasonal-Trend Decomposition for Streaming Time Series Data with Transitions and Fluctuations in Seasonality
    Thanapol Phungtua-Eng
    ,
    Yoshitaka Yamamoto
  28. 28
    Adaptive Sparsity Level During Training for Efficient Time Series Forecasting with Transformers
    Zahra Atashgahi
    ,
    Mykola Pechenizkiy
    ,
    Raymond N. J. Veldhuis
    ,
    Decebal Constantin Mocanu
  29. 29
    Adaptively Denoising Graph Neural Networks for Knowledge Distillation
    Yuxin Guo
    ,
    Cheng Yang
    ,
    Chuan Shi
    ,
    Ke Tu
    ,
    Zhengwei Wu
    ,
    Zhiqiang Zhang
    ,
    Jun Zhou
  30. 30
    ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference
    Xiangyu Zheng
    ,
    Guogang Tian
    ,
    Sen Wang
    ,
    Zhixiang Huang
  31. 31
    Advancing Graph Counterfactual Fairness Through Fair Representation Learning
    Zichong Wang
    ,
    Zhibo Chu
    ,
    Ronald Blanco
    ,
    Zhong Chen
    ,
    Shu-Ching Chen
    ,
    Wenbin Zhang
  32. 32
    Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches
    Chetraj Pandey
    ,
    Temitope Adeyeha
    ,
    Jinsu Hong
    ,
    Rafal A. Angryk
    ,
    Berkay Aydin
  33. 33
    Adversarial Robustness of Variational Autoencoders Across Intersectional Subgroups
    Chethan Krishnamurthy Ramanaik
    ,
    Arjun Roy
    ,
    Eirini Ntoutsi
  34. 34
    AEMLO: AutoEncoder-Guided Multi-label Oversampling
    Ao Zhou
    ,
    Bin Liu
    ,
    Jin Wang
    ,
    Kaiwei Sun
    ,
    Kelin Liu
  35. 35
    AeroINR: Meta-learning for Efficient Generation of Aerodynamic Geometries
    Tom Bamford
    ,
    David Toal
    ,
    Andy J. Keane
  36. 36
    AKGNet: Attribute Knowledge Guided Unsupervised Lung-Infected Area Segmentation
    Qing En
    ,
    Yuhong Guo
  37. 37
    An Empirical Study of Feature Dynamics During Fine-Tuning
    Hamed Behzadi-Khormouji
    ,
    Lena De Roeck
    ,
    José Oramas
  38. 38
    An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification
    Mustafa Cavus
    ,
    Przemyslaw Biecek
  39. 39
    An Interactive Tool for Interpretability of Time Series Classification
    Brigt Arve Toppe Håvardstun
    ,
    Cèsar Ferri
    ,
    Jan Arne Telle
  40. 40
    ApmNet: Toward Generalizable Visual Continuous Control with Pre-trained Image Models
    Haitao Wang
    ,
    Hejun Wu
  41. 41
    Applying Textual Inversion to Control and Personalize Text-to-Music Models
    Carl Thomé
    ,
    Bob L. T. Sturm
    ,
    John Pertoft
    ,
    Nicolas Jonason
  42. 42
    Approximating the Graph Edit Distance with Compact Neighborhood Representations
    Franka Bause
    ,
    Christian Permann
    ,
    Nils M. Kriege
  43. 43
    Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs
    Benjamin Girault
    ,
    Rémi Emonet
    ,
    Amaury Habrard
    ,
    Jordan Patracone
    ,
    Marc Sebban
  44. 44
    ART: Actually Robust Training
    Sebastian Chwilczynski
    ,
    Kacper Trebacz
    ,
    Karol Cyganik
    ,
    Mateusz Malecki
    ,
    Dariusz Brzezinski
  45. 45
    Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization
    Haoyu Sun
    ,
    Xin Liu
    ,
    Yuxuan Bian
    ,
    Peng Zhu
    ,
    Dawei Cheng
    ,
    Yuqi Liang
  46. 46
    Attention-Driven Dropout: A Simple Method to Improve Self-supervised Contrastive Sentence Embeddings
    Fabian Stermann
    ,
    Ilias Chalkidis
    ,
    Amihossein Vahidi
    ,
    Bernd Bischl
    ,
    Mina Rezaei
  47. 47
    Autoassociative Random Forest Clustering
    Robbe D'hondt
    ,
    Felipe Kenji Nakano
    ,
    Celine Vens
  48. 48
    Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
    Matthias König
    ,
    Xiyue Zhang
    ,
    Holger H. Hoos
    ,
    Marta Kwiatkowska
    ,
    Jan N. van Rijn
  49. 49
    Backdoor Attacks with Input-Unique Triggers in NLP
    Xukun Zhou
    ,
    Jiwei Li
    ,
    Tianwei Zhang
    ,
    Lingjuan Lyu
    ,
    Muqiao Yang
    ,
    Jun He
  50. 50
    Bagel: A Benchmark for Assessing Graph Neural Network Explanations
    Mandeep Rathee
    ,
    Thorben Funke
    ,
    Avishek Anand
    ,
    Megha Khosla