Model-agnostic Feature Importance and Effects with Dependent Features--A Conditional Subgroup Approach C Molnar, G König, B Bischl, G Casalicchio arXiv preprint arXiv:2006.04628, 2020 | 4 | 2020 |
Pitfalls to Avoid when Interpreting Machine Learning Models C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ... ICML 2020, XXAI Workshop, 2020 | 3 | 2020 |
Relative Feature Importance G König, C Molnar, B Bischl, M Grosse-Wentrup ICPR 2020, 2020 | 1 | 2020 |
Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data F Pfister, D Kulić, T Um, D Pichler, A Ahmadi, M Lang, G König, F Achilles, ... | 1 | 2017 |
A Causal Perspective on Challenges for AI in Precision Medicine G König, M Grosse-Wentrup Proceedings of the 2nd International Congress on Precision Medicine (PMBC), 2019 | | 2019 |
Online Classification With Adaptive Sparse Grid Kernels GU König TU Munich, 2016 | | 2016 |