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tag : interpretability
tag : interpretability
7 publications
Counterfactual Explanations for Machine Learning: Challenges Revisited
(2021) —
Sahil Verma, John P. Dickerson, Keegan Hines
Causal Interpretability for Machine Learning – Problems, Methods and Evaluation
(2020) —
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
Counterfactual Explanations for Machine Learning: A Review
(2020) —
Sahil Verma, John P. Dickerson, Keegan Hines
Agent-Based Explanations in AI: Towards an Abstract Framework
(EXTRAAMAS 2020@AAMAS 2020) —
Giovanni Ciatto, Michael I. Schumacher, Andrea Omicini, Davide Calvaresi
On the integration of symbolic and sub-symbolic techniques for XAI: A survey
(Intelligenza Artificiale, 2020) —
Roberta Calegari, Giovanni Ciatto, Andrea Omicini
An Abstract Framework for Agent-Based Explanations in AI
(AAMAS 2020) —
Giovanni Ciatto, Davide Calvaresi, Michael I. Schumacher, Andrea Omicini
The mythos of model interpretability
(2018) —
Zachary C. Lipton
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