Be careful when evaluating explanations regarding ground truth
Explaining and visualizing black-box models through counterfactual paths
Performance is not enough: the story told by a Rashomon quartet
Inf. Fus.Adversarial attacks and defenses in explainable artificial intelligence: A survey
Information Fusion, 2024 Review of adversarial attacks on explanations and how to defend them.
Bioinf.survex: an R package for explaining machine learning survival models
Towards evaluating explanations of vision transformers for medical imaging
CVPR 2023 Workshops
Hospital length of stay prediction based on multi-modal data towards trustworthy human-AI collaboration in radiomics
Kno. Sys.SurvSHAP(t): Time-dependent explanations of machine learning survival models
Knowledge-Based Systems, 2023
The grammar of interactive explanatory model analysis
Data Mining and Knowledge Discovery, 2023 Interactive explanation of a model improves the performance of human decision making.
Multi-omics disease module detection with an explainable greedy decision forest
Scientific Reports, 2022
Fooling partial dependence via data poisoning
ECML PKDD 2022 Feature effect explanations can be manipulated in an adversarial manner.
Manipulating SHAP via adversarial data perturbations (student abstract)
dalex: Responsible machine learning with interactive explainability and fairness in Python
Journal of Machine Learning Research, 2021 2022 John M. Chambers Statistical Software Award
Responsible prediction making of COVID-19 mortality (student abstract)
modelStudio: Interactive studio with explanations for ML predictive models
Journal of Open Source Software, 2019