Investigating the Duality of Interpretability and Explainability in Machine Learning

Investigating the Duality of Interpretability and Explainability in Machine Learning

27 March 2025

Moncef Garouani

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Papers citing "Investigating the Duality of Interpretability and Explainability in Machine Learning"

11 / 11 papers shown

Title
An experimental survey and Perspective View on Meta-Learning for Automated Algorithms Selection and Parametrization Moncef Garouani 77 0 0 08 Apr 2025
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 149 71 0 06 Jun 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 93 66 0 10 Apr 2023
Pitfalls of Explainable ML: An Industry Perspective Sahil Verma Aditya Lahiri John P. Dickerson Su-In Lee XAI 60 9 0 14 Jun 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 165 179 0 07 Mar 2021
On the Tractability of SHAP Explanations Guy Van den Broeck A. Lykov Maximilian Schleich Dan Suciu FAtt TDI 119 295 0 18 Sep 2020
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 89 646 0 22 Aug 2019
Metrics for Explainable AI: Challenges and Prospects R. Hoffman Shane T. Mueller Gary Klein Jordan Litman XAI 132 732 0 11 Dec 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 175 1,875 0 31 May 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 481 3,837 0 28 Feb 2017
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 347 7,344 0 20 Dec 2013