Home | News

13.09.2019

Tiny logo
Teaser image to MCML at ECML-PKDD 2019

MCML at ECML-PKDD 2019

Five Accepted Papers (4 Main, and 1 Workshop)

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Wuerzburg, Germany, Sep 16-20, 2019

We are happy to announce that MCML researchers have contributed a total of 5 papers to ECML-PKDD 2019: 4 Main, and 1 Workshop papers. Congrats to our researchers!

Main Track (4 papers)

L. Beggel • M. Pfeiffer • B. Bischl
Robust Anomaly Detection in Images Using Adversarial Autoencoders.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

J. Goschenhofer • F. M. J. Pfister • K. A. Yuksel • B. Bischl • U. Fietzek • J. Thomas
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

C. Molnar • G. CasalicchioB. Bischl
Quantifying Model Complexity via Functional Decomposition for Better Post-hoc Interpretability.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

C. A. Scholbeck • C. Molnar • C. Heumann • B. BischlG. Casalicchio
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI

Workshops (1 paper)

F. PfistererS. CoorsJ. ThomasB. Bischl
Multi-Objective Automatic Machine Learning with AutoxgboostMC.
Workshops @ECML-PKDD 2019 - Workshops at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. arXiv

#research #top-tier-work #bischl

Related

Tiny logo
Link to MCML at ICDAR 2026

28.08.2026

MCML at ICDAR 2026

MCML researchers are represented with 1 paper at ICDAR 2026.

Read more
Link to Transparency for global health aid

26.08.2026

Transparency for Global Health Aid

MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.

Read more
Link to David Rügamer: We Need Uncertainty Quantification

25.08.2026

David Rügamer: We Need Uncertainty Quantification

MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.

Read more
Link to Using Data Science to Personalize Depression Care

24.08.2026

Using Data Science to Personalize Depression Care

Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.

Read more
Link to Matthias Nießner Featured in Augsburger Allgemeine on Europe's AI Hub

17.08.2026

Matthias Nießner Featured in Augsburger Allgemeine on Europe's AI Hub

MCML PI Matthias Nießner is featured in Augsburger Allgemeine's coverage of London's rise as a leading European AI hub.

Read more
Back to Top