Shapley Chains: Extending Shapley Values to Classifier Chains. - Célia Wafa Ayad; Thomas Bonnier; Benjamin Bosch; Jesse Read (DS, 2022)

Assessing the Robustness of Ordinal Classifiers against Imbalanced and Shifting Distributions. - Thomas Bonnier; Benjamin Bosch (LIDTA, 2022)

Which Explanation Makes Sense? A Critical Evaluation of Local Explanations for Assessing Cervical Cancer Risk. - Célia Wafa Ayad; Thomas Bonnier; Benjamin Bosch; Jesse Read; Sonali Parbhoo (MLHC, 2023)

Harnessing Error Patterns to Estimate Out-of-Distribution Performance. - Thomas Bonnier; Benjamin Bosch (PKDD/ECML Workshops (4), 2023)

Towards Safe Machine Learning Lifecycles with ESG Model Cards. - Thomas Bonnier; Benjamin Bosch (SAFECOMP Workshops, 2023)

Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models. - Célia Wafa Ayad; Thomas Bonnier; Benjamin Bosch; Sonali Parbhoo; Jesse Read (CoRR, 2025)