Multiclass Risk Classification

Multiclass Risk Classification is a risk classification methodology that categorizes risk instances into more than two distinct and non-overlapping classes, extending binary risk assessment to accommodate multiple risk levels or types within a unified analytical framework.

22

Publications

939

Citations

80

Authors

44

Institutions

Publications per year

2017–2026

12

Authors

80

  1. AS
    Achyut Shankar

    Amity University, India

    2 publications · 66 citations

    2

    h-index

  2. HA
    Hyunchul Ahn

    Kookmin University, South Korea

    1 publications · 11 citations

    1

    h-index

  3. MD
    Michael Doumpos

    Technical University of Crete, Greece

    1 publications · 59 citations

    1

    h-index

  4. SX
    Shenghua Xu

    Chinese Academy of Surveying and Mapping, China

    1 publications · 27 citations

    1

    h-index

  5. MN
    Mahendra Nakrani

    Birla Institute of Technology, Mesra, India

    1 publications · 29 citations

    1

    h-index

1–5 of 80

Venues

  1. Expert Systems with Applications

    2 publications · 118 citations

    2

    h-index

  2. Decision Sciences

    1 publications · 59 citations

    1

    h-index

  3. Signal Image and Video Processing

    1 publications · 17 citations

    1

    h-index

  4. 1

    h-index

  5. Information Sciences

    1 publications · 135 citations

    1

    h-index

1–5