12.09.2025
MCML at ECML-PKDD 2025
Nine Accepted Papers (6 Main, and 3 Workshops)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, Sep 15-19, 2025
We are happy to announce that MCML researchers have contributed a total of 9 papers to ECML-PKDD 2025: 6 Main, and 3 Workshop papers. Congrats to our researchers!
Main Track (6 papers)
C. Damke • E. Hüllermeier
Distribution Matching for Graph Quantification Under Structural Covariate Shift.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
Distribution Matching for Graph Quantification Under Structural Covariate Shift.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
J. Herbinger • M. N. Wright • T. Nagler • B. Bischl • G. Casalicchio
Decomposing Global Feature Effects Based on Feature Interactions.
ECML-PKDD 2025 - Nectar Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. To be published. Preprint available. arXiv
Decomposing Global Feature Effects Based on Feature Interactions.
ECML-PKDD 2025 - Nectar Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. To be published. Preprint available. arXiv
P. Jahn • W. Durani • C. Leiber • A. Beer • T. Seidl
Going Offline: An Evaluation of the Offline Phase in Stream Clustering.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI GitHub
Going Offline: An Evaluation of the Offline Phase in Stream Clustering.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI GitHub
P. Kopper • D. Rügamer • R. Sonabend • B. Bischl • A. Bender
On Training Survival Models with Scoring Rules.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
On Training Survival Models with Scoring Rules.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
E. Özeren • A. Ulbrich • S. Filimon • D. Rügamer • A. Bender
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
J. Rodemann • F. Croppi • P. Arens • Y. Sale • J. Herbinger • B. Bischl • E. Hüllermeier • T. Augustin • C. J. Walsh • G. Casalicchio
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration For Exosuit Personalization.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI GitHub
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration For Exosuit Personalization.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI GitHub
Workshops (3 papers)
F. K. Ewald • L. Bothmann • M. N. Wright • B. Bischl • G. Casalicchio • G. König
A Guide to Feature Importance Methods for Scientific Inference.
Nectar Track @ECML-PKDD 2025 - Nectar Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
A Guide to Feature Importance Methods for Scientific Inference.
Nectar Track @ECML-PKDD 2025 - Nectar Track at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
S. Rittel • S. Tschiatschek
Distributions over DAGs for Causal Discovery: Limitations of Expressiveness.
MLG @ECML-PKDD 2025 - 22nd International Workshop on Mining and Learning with Graphs at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. PDF
Distributions over DAGs for Causal Discovery: Limitations of Expressiveness.
MLG @ECML-PKDD 2025 - 22nd International Workshop on Mining and Learning with Graphs at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. PDF
U. Schlegel • G. M. Tavares • T. Seidl
Towards Explainable Deep Clustering for Time Series Data.
TempXAI @ECML-PKDD 2025 - Workshop Explainable AI for Time Series and Data Streams at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. To be published.
Towards Explainable Deep Clustering for Time Series Data.
TempXAI @ECML-PKDD 2025 - Workshop Explainable AI for Time Series and Data Streams at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. To be published.
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