Case-based Adaptation

Case-Based Adaptation is a methodological framework in case-based learning that adapts previously solved cases to new, structurally similar problems through systematic modification of solutions based on contextual and situational differences.

95

Publications

2.8K

Citations

214

Authors

104

Institutions

Publications per year

2017–2026

8

Authors

214

  1. DL
    David Leake

    Indiana University Bloomington, United States

    6 publications · 173 citations

    6

    h-index

  2. AN
    Amedeo Napoli

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    5 publications · 163 citations

    5

    h-index

  3. JL
    Jean Lieber

    Laboratoire Lorrain de Recherche en Informatique et ses Applications, France

    5 publications · 163 citations

    5

    h-index

  4. AM
    Alain Mille

    Université Claude Bernard Lyon 1, France

    4 publications · 67 citations

    4

    h-index

  5. YP
    Yinghong Peng

    Shanghai Jiao Tong University, China

    4 publications · 113 citations

    4

    h-index

1–5 of 214

Venues

  1. Expert Systems with Applications

    5 publications · 148 citations

    5

    h-index

  2. 4

    h-index

  3. 3

    h-index

  4. Knowledge-Based Systems

    3 publications · 170 citations

    3

    h-index

  5. Computational Intelligence

    3 publications · 108 citations

    3

    h-index

1–5