Explainable Credit Models

Explainable Credit Models is a computational framework within credit scoring that enables transparent and interpretable predictions by inherently revealing the rationale behind credit decisions through human-understandable features or decision rules.

31

Publications

1.9K

Citations

97

Authors

46

Institutions

Publications per year

2017–2026

25

Authors

97

  1. PG
    Paolo Giudici

    University of Pavia, Italy

    5 publications · 723 citations

    5

    h-index

  2. RD
    Randall Davis

    Massachusetts Institute of Technology, United States

    2 publications · 46 citations

    2

    h-index

  3. AN
    Arash Nourian

    Massachusetts Institute of Technology, United States

    2 publications · 46 citations

    2

    h-index

  4. RZ
    Ruixun Zhang

    Massachusetts Institute of Technology, United States

    2 publications · 46 citations

    2

    h-index

  5. NB
    Niklas Bussmann

    University of Pavia, Italy

    2 publications · 613 citations

    2

    h-index

1–5 of 97

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 225 citations

    6

    h-index

  2. Finance research letters

    2 publications · 192 citations

    2

    h-index

  3. Annals of Operations Research

    1 publications · 15 citations

    1

    h-index

  4. Journal of Economics and Business

    1 publications · 59 citations

    1

    h-index

  5. Socio-Economic Planning Sciences

    1 publications · 19 citations

    1

    h-index

1–5