Multimodal Corpus Evaluation

Multimodal Corpus Evaluation is the systematic assessment of multimodal corpora through defined metrics and analytical frameworks to determine their quality, reliability, and suitability for intended research or application purposes within multimodal data analysis.

73

Publications

4.7K

Citations

314

Authors

117

Institutions

Publications per year

2017–2026

31

Authors

314

  1. CS
    Craig S. Greenberg

    National Institute of Standards and Technology, United States

    5 publications · 446 citations

    5

    h-index

  2. JH
    Jaime Hernández-Cordero

    MIT Lincoln Laboratory, United States

    3 publications · 236 citations

    3

    h-index

  3. SO
    Seyed Omid Sadjadi

    The University of Texas at Dallas, United States

    3 publications · 225 citations

    3

    h-index

  4. JM
    Jean‐Claude Martin

    Centre National de la Recherche Scientifique, France

    3 publications · 65 citations

    3

    h-index

  5. DA
    Douglas A. Reynolds

    Massachusetts Institute of Technology, United States

    3 publications · 225 citations

    3

    h-index

1–5 of 314

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 553 citations

    4

    h-index

  2. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 2 publications · 32 citations

    2

    h-index

  3. IEEE Transactions on Affective Computing

    TAC · 2 publications · 132 citations

    2

    h-index

  4. Journal of Classification

    1 publications · 62 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 21 citations

    1

    h-index

1–5