Concepedia

Interpretability Of Classification Models

Interpretability of Classification Models is the extent to which the internal mechanisms and decision logic of a classification model in land cover mapping can be understood and explained by human analysts, distinguishing it from purely predictive performance by emphasizing transparency, traceability, and comprehensibility of model behavior.

234

Publications

14.4K

Citations

867

Authors

409

Institutions

Publications per year

2017–2026

128

Parents

Publications

234

Definitions, methods, and applications in interpretable machine learning

William J. Murdoch, Chandan Singh, Karl Kumbier et al. · Proceedings of the National Academy of Sciences · 2019 · 2.1K citations · Full text

, , +13

Detecting Deceptive Discussions in Conference Calls

David F. Larcker, Anastasia A. Zakolyukina · Journal of Accounting Research · 2012 · 612 citations

, , +15

Comprehensible classification models

Alex A. Freitas · ACM SIGKDD Explorations Newsletter · 2014 · 570 citations

, , +16

Interpretability of deep learning models: A survey of results

Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra et al. · 2017 · 431 citations

, , +16

A Benchmark for Interpretability Methods in Deep Neural Networks

Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans et al. · arXiv (Cornell University) · 2018 · 382 citations · Full text

, , +16

1–5 of 234

Authors

867

  1. AA
    Alex A. Freitas

    University of Kent, United Kingdom

    3 publications · 675 citations

    3

    h-index

  2. BK
    Been Kim

    Google (United States), United States

    2 publications · 408 citations

    2

    h-index

  3. GG
    Gene G. Abel

    Columbia University, United States

    2 publications · 104 citations

    2

    h-index

  4. TZ
    Tingshao Zhu

    Institute of Psychology, Chinese Academy of Sciences, China

    2 publications · 65 citations

    2

    h-index

  5. RG
    Richard G. Brereton

    University of Bristol, United Kingdom

    2 publications · 180 citations

    2

    h-index

1–5 of 867

Institutions

409

  1. Stanford University

    Stanford, United States

    4 h-index

    9 publications

    1.9K citations

  2. University of Antwerp

    Antwerp, Belgium

    4 h-index

    7 publications

    302 citations

  3. The University of Sydney

    Sydney, Australia

    4 h-index

    5 publications

    248 citations

  4. University of California, Berkeley

    Berkeley, United States

    4 h-index

    8 publications

    10.5K citations

  5. University of Tartu

    Tartu, Estonia

    4 h-index

    11 publications

    824 citations

  6. University of Kent

    Canterbury, United Kingdom

    4 h-index

    6 publications

    723 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    4 h-index

    9 publications

    576 citations

  8. Cornell University

    Ithaca, United States

    3 h-index

    4 publications

    174 citations

1–8 of 409

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 557 citations

    9

    h-index

  2. Applied Sciences

    5 publications · 96 citations

    5

    h-index

  3. Computers and Electronics in Agriculture

    3 publications · 128 citations

    3

    h-index

  4. Bioinformatics

    3 publications · 228 citations

    3

    h-index

  5. Decision Support Systems

    3 publications · 149 citations

    3

    h-index

1–5