 Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations
for Vision Foundation ModelsInternational Conference on Machine Learning (ICML), 2024 |
 Human Attention-Guided Explainable Artificial Intelligence for Computer
Vision ModelsNeural Networks (Neural Netw.), 2023 |
 A Comprehensive Taxonomy for Explainable Artificial Intelligence: A
Systematic Survey of Surveys on Methods and ConceptsData mining and knowledge discovery (DMKD), 2021 |
 Connecting Interpretability and Robustness in Decision Trees through
SeparationInternational Conference on Machine Learning (ICML), 2021 |
 Quantifying Explainability of Saliency Methods in Deep Neural Networks
with a Synthetic DatasetIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 |
