Sequence Classification

Sequence Classification is a supervised learning task within sequence mining that assigns predefined labels to entire sequences based on patterns derived from their ordered constituent elements.

476

Publications

59.5K

Citations

1.5K

Authors

661

Institutions

Publications per year

2017–2026

198

Authors

1.5K

  1. CW
    Cathy Wu

    Georgetown University, United States

    8 publications · 1.4K citations

    8

    h-index

  2. VP
    Vladimir Pavlović

    Rutgers, The State University of New Jersey, United States

    6 publications · 82 citations

    6

    h-index

  3. MJ
    Mohammed J. Zaki

    Rensselaer Polytechnic Institute, United States

    4 publications · 467 citations

    4

    h-index

  4. HL
    Hung-yi Lee

    National Taiwan University, Taiwan

    4 publications · 121 citations

    4

    h-index

  5. MS
    Michael S. Waterman

    University of Southern California, United States

    4 publications · 461 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Bioinformatics

    15 publications · 22.9K citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 21 publications · 1.2K citations

    15

    h-index

  3. BMC Bioinformatics

    12 publications · 747 citations

    11

    h-index

  4. Nucleic Acids Research

    6 publications · 8K citations

    6

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 6 publications · 191 citations

    6

    h-index

1–5