11.11.2025
MCML at ICDM 2025
Two Accepted Papers
25th IEEE International Conference on Data Mining, Washington DC, USA, Nov 12-15, 2025
We are happy to announce that MCML researchers have contributed a total of 2 papers to ICDM 2025. Congrats to our researchers!
Main Track (2 papers)
W. Durani • P. Jahn • T. Seidl • C. Plant • C. Böhm
MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection.
ICDM 2025 - 25th IEEE International Conference on Data Mining. Washington DC, USA, Nov 12-15, 2025. DOI
MNN-Closure Meets Local Maxima: A Double-Knee Approach to Anomaly Detection.
ICDM 2025 - 25th IEEE International Conference on Data Mining. Washington DC, USA, Nov 12-15, 2025. DOI
E. Panagiotou • B. Ronval • A. Roy • L. Bothmann • B. Bischl • S. Nijssen • E. Ntoutsi
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees.
ICDM 2025 - 25th IEEE International Conference on Data Mining. Washington DC, USA, Nov 12-15, 2025. DOI
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees.
ICDM 2025 - 25th IEEE International Conference on Data Mining. Washington DC, USA, Nov 12-15, 2025. DOI
Related
31.07.2026
Benedikt Wiestler: We Want to Build a Time Machine
MCML PI Benedikt Wiestler explains how AI models help to develop specific strategies in clinical therapy for brain tumor patients.
28.07.2026
Gaps in the Benchmark: Why Medical AI Fails in the Real World
MCML researchers show in Nature Health how dynamic red teaming exposes hidden weaknesses in Medical AI beyond static benchmarks.