Concepedia

Explainability Metrics

Explainability Metrics is a scholarly evaluation framework within the domain of recommendation systems that operationalizes the quantification of transparency and interpretability by measuring the comprehensibility, fidelity, and effectiveness of explanations generated for user recommendations.

80

Publications

4.6K

Citations

262

Authors

110

Institutions

Publications per year

2017–2026

78

Parents

Publications

80

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al. · Advanced Intelligent Systems · 2024 · 645 citations · Full text

, , +14

A Survey of Explanations in Recommender Systems

Nava Tintarev, Judith Masthoff · 2007 · 556 citations

, , +15

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use

Sana Tonekaboni, Shalmali Joshi, Melissa D. McCradden et al. · arXiv (Cornell University) · 2019 · 242 citations · Full text

, , +13

Explainability fact sheets

Kacper Sokol, Peter Flach · 2020 · 239 citations · Full text

, , +9

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI

Shane T. Mueller, Robert R. Hoffman, William J. Clancey et al. · arXiv (Cornell University) · 2019 · 221 citations · Full text

, , +15

1–5 of 80

Authors

262

  1. AS
    Ahmed Salih

    William Harvey Research Institute, United Kingdom

    3 publications · 675 citations

    3

    h-index

  2. TS
    T. Serre

    Massachusetts Institute of Technology, United States

    3 publications · 61 citations

    3

    h-index

  3. GM
    Gloria Menegaz

    University of Verona, Italy

    3 publications · 675 citations

    3

    h-index

  4. KL
    Karim Lekadir

    Universitat de Barcelona, Spain

    3 publications · 675 citations

    3

    h-index

  5. SE
    Steffen E. Petersen

    William Harvey Research Institute, United Kingdom

    3 publications · 675 citations

    3

    h-index

1–5 of 262

Institutions

110

  1. Allen Institute for Brain Science

    Seattle, United States

    3 h-index

    11 publications

    223 citations

  2. William Harvey Research Institute

    London, United Kingdom

    3 h-index

    12 publications

    2.1K citations

  3. Queen Mary University of London

    London, United Kingdom

    3 h-index

    12 publications

    2.1K citations

  4. University of Verona

    Verona, Italy

    3 h-index

    12 publications

    1.4K citations

  5. Universitat de Barcelona

    Barcelona, Spain

    3 h-index

    12 publications

    1.4K citations

  6. Brown University

    Providence, United States

    2 h-index

    7 publications

    183 citations

  7. Société Nationale des Chemins de Fer Français (France)

    Saint-Denis, France

    2 h-index

    2 publications

    40 citations

  8. Rutgers, The State University of New Jersey

    New Brunswick, United States

    2 h-index

    3 publications

    65 citations

1–8 of 110

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 1.2K citations

    15

    h-index

  2. Information Sciences

    2 publications · 29 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 76 citations

    2

    h-index

  4. 2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 83 citations

    2

    h-index

1–5