Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?, DStatG, September 15, 2021, Kiel, Germany.
Deducing neighborhoods of classes from a fitted classification model, IWSM 2021, 20 July 2021, Bilbao, Spain.
Quantile-Shift-Method for Deducing Neighborhoods & Interpretable Machine Learning for Reinforcement Learning, ML-Seminar TU Dortmund, July 7, 2021, Dortmund, Germany.
Machine Learning Tea Talk - Interpretable Machine Learning, ML Tea Talks Series, September 10, 2020, Online.
Decoding the blackbox: Interpretable Machine Learning, DoDSc-colloquium, October 1, 2019, Dortmund, Germany.
