Home | News

12.09.2025

Tiny logo
Teaser image to MCML at ECML-PKDD 2025

MCML at ECML-PKDD 2025

Ten Accepted Papers (7 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 10 papers to ECML-PKDD 2025: 7 Main, and 3 Workshop papers. Congrats to our researchers!

Main Track (7 papers)

C. DamkeE. 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

J. Herbinger • M. N. Wright • T. NaglerB. BischlG. 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. URL

P. JahnW. 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

P. Kopper • D. Rügamer • R. Sonabend • B. BischlA. 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

E. Özeren • A. Ulbrich • S. Filimon • D. RügamerA. 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

J. Rodemann • F. Croppi • P. Arens • Y. SaleJ. HerbingerB. BischlE. 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

N. Röhrich • A. Hoffmann • R. Nordsieck • E. Zarbali • A. Javanmardi
Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI

Workshops (3 papers)

F. K. EwaldL. Bothmann • M. N. Wright • B. BischlG. 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

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

U. SchlegelG. M. TavaresT. 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. DOI

#research #top-tier-work #bischl #huellermeier #nagler #ruegamer #seidl

Related

Link to Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

16.09.2026

Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.

Read more
Link to Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

14.09.2026

Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

MCML PI Björn Eskofier explains why real-world data is key to using AI for personalized treatment and more empowered healthcare.

Read more
Tiny logo
Link to MCML at ECCV 2026

07.09.2026

MCML at ECCV 2026

MCML researchers are represented with 28 papers at ECCV 2026.

Read more
Tiny logo
Link to MCML at ECML-PKDD 2026

04.09.2026

MCML at ECML-PKDD 2026

MCML researchers are represented with 6 papers at ECML-PKDD 2026.

Read more
Link to Julia Schnabel: What If a Broken Rib Could Save Your Life?

03.09.2026

Julia Schnabel: What if a Broken Rib Could Save Your Life?

MCML PI Julia Schnabel explores how AI can uncover hidden signs of disease in medical images that might otherwise go undetected.

Read more
Back to Top