Pinned Repositories
Identifying-Trends-in-Feature-Attributions-during-Training-of-Neural-Networks
Identifying Trends in Feature Attributions during Training of Neural Networks
shapiq
Agnostic-Explanation-of-Model-Change-based-on-Feature-Importance
Technical Supplement of Research Work
iPDP-On-Partial-Dependence-Plots-in-Dynamic-Modeling-Scenarios
Technical Supplement of Research Work
iPFI
Supplementary Material: Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams
iXAI
Fast and incremental explanations for online machine learning models. Works best with the river framework.
mmschlk.github.io
Personal Website
On-Feature-Removal-for-Explainability-in-Dynamic-Environments
Supplement Material for Paper Submission
shapiq
Shapley Interactions for Machine Learning
TreeSHAP-IQ
Supplement Material for research project
mmschlk's Repositories
mmschlk/shapiq
Shapley Interactions for Machine Learning
mmschlk/iXAI
Fast and incremental explanations for online machine learning models. Works best with the river framework.
mmschlk/TreeSHAP-IQ
Supplement Material for research project
mmschlk/iPDP-On-Partial-Dependence-Plots-in-Dynamic-Modeling-Scenarios
Technical Supplement of Research Work
mmschlk/Agnostic-Explanation-of-Model-Change-based-on-Feature-Importance
Technical Supplement of Research Work
mmschlk/iPFI
Supplementary Material: Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams
mmschlk/mmschlk.github.io
Personal Website
mmschlk/On-Feature-Removal-for-Explainability-in-Dynamic-Environments
Supplement Material for Paper Submission