Explanation sets: A general framework for machine learning explainability

Author:

R. Fernández Rubén,Martín de Diego Isaac,M. Moguerza Javier,Herrera Francisco

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference36 articles.

1. Interpretable machine learning;Molnar;Lulu.com,2018

2. F. Doshi-Velez, B. Kim, Towards a rigorous science of interpretable machine learning, arXiv preprint arXiv:1702.08608 (2017).

3. Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai;Arrieta;Information Fusion,2020

4. Explainable ai for designers: A human-centered perspective on mixed-initiative co-creation;Zhu,2018

5. V. Belle, I. Papantonis, Principles and practice of explainable machine learning, arXiv preprint arXiv:2009.11698 (2020).

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