Multimodal Case Representation

Multimodal Case Representation is a problem representation framework that integrates multiple modalities—such as textual, visual, auditory, or sensorimotor information—into a unified case-based structure to enable reasoning, learning, or decision-making through the preservation and retrieval of multimodal contextual experiences.

8

Publications

2.3K

Citations

27

Authors

18

Institutions

Publications per year

2017–2026

1

Authors

27

  1. MA
    Mourad Abed

    Université Polytechnique Hauts-de-France, France

    1 publications · 40 citations

    1

    h-index

  2. HS
    Hans–Paul Schwefel

    TU Dortmund University, Germany

    1 publications · 2.1K citations

    1

    h-index

  3. GC
    Guy Cazuguel

    Université de Bretagne Occidentale, France

    1 publications · 11 citations

    1

    h-index

  4. MM
    Mark McGlashan

    Lancaster University, United Kingdom

    1 publications · 55 citations

    1

    h-index

  5. SY
    Sin Yu Joanne Hui

    Queen Elizabeth Hospital, China

    1 publications · 16 citations

    1

    h-index

1–5 of 27

Venues

  1. 1

    h-index

  2. Evolutionary Computation

    1 publications · 2.1K citations

    1

    h-index

  3. 1

    h-index

  4. International Journal of Medical Informatics

    1 publications · 28 citations

    1

    h-index

  5. CogPrints (University of Southampton)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5