Concepedia

Interpretability Evaluation

Interpretability Evaluation is a methodological framework within visualization evaluation that assesses the extent to which a visualization enables users to comprehend, reason about, and derive accurate mental models of the underlying data and algorithms.

307

Publications

27.7K

Citations

1.2K

Authors

471

Institutions

Publications per year

2017–2026

227

Parents

Publications

307

Towards A Rigorous Science of Interpretable Machine Learning

Finale Doshi‐Velez, Been Kim · arXiv (Cornell University) · 2017 · 3.2K citations · Full text

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TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios

Xingkui Zhu, Shuchang Lyu, Xu Wang et al. · 2021 · 2.1K citations

, , +17

Rotation of principal components

Michael B. Richman · Journal of Climatology · 1986 · 1.8K citations

, , +13

Techniques for interpretable machine learning

Mengnan Du, Ninghao Liu, Xia Hu · Communications of the ACM · 2019 · 1.2K citations

, , +16

Visual interpretability for deep learning: a survey

Quanshi Zhang, Song‐Chun Zhu · Frontiers of Information Technology & Electronic Engineering · 2018 · 946 citations

, , +13

1–5 of 307

Authors

1.2K

  1. BK
    Been Kim

    Google (United States), United States

    10 publications · 4.4K citations

    10

    h-index

  2. LM
    Luis Magdalena

    Universidad Politécnica de Madrid, Spain

    5 publications · 250 citations

    5

    h-index

  3. JM
    José M. Alonso

    Universidade de Santiago de Compostela, Spain

    4 publications · 239 citations

    4

    h-index

  4. SA
    Stéphane Ayache

    Centre National de la Recherche Scientifique, France

    4 publications · 171 citations

    4

    h-index

  5. FD
    Finale Doshi‐Velez

    Harvard University Press, United States

    3 publications · 3.3K citations

    3

    h-index

1–5 of 1.2K

Institutions

471

  1. Google (United States)

    Mountain View, United States

    6 h-index

    11 publications

    683 citations

  2. Harvard University

    Cambridge, United States

    6 h-index

    10 publications

    960 citations

  3. Microsoft (United States)

    Redmond, United States

    5 h-index

    10 publications

    2.7K citations

  4. German Cancer Research Center

    Heidelberg, Germany

    4 h-index

    4 publications

    186 citations

  5. Victoria University of Wellington

    Wellington, New Zealand

    4 h-index

    9 publications

    395 citations

  6. Imperial College London

    London, United Kingdom

    4 h-index

    5 publications

    324 citations

  7. Delft University of Technology

    Delft, The Netherlands

    4 h-index

    7 publications

    348 citations

  8. Universidad de Granada

    Granada, Spain

    4 h-index

    9 publications

    1.2K citations

1–8 of 471

Venues

  1. arXiv (Cornell University)

    Repository · 41 publications · 5.1K citations

    25

    h-index

  2. IEEE Transactions on Fuzzy Systems

    TFS · 7 publications · 548 citations

    7

    h-index

  3. IEEE Access

    5 publications · 140 citations

    5

    h-index

  4. Soft Computing

    4 publications · 208 citations

    4

    h-index

  5. 3

    h-index

1–5