Temporal Classification

Temporal Classification is a temporal data mining task that categorizes time-stamped data instances into predefined classes based on their temporal patterns, distinguishing it from other classification tasks by explicitly incorporating time-ordered sequences and temporal dependencies in the predictive model.

394

Publications

34.3K

Citations

1.2K

Authors

405

Institutions

Publications per year

2017–2026

269

Authors

1.2K

  1. SW
    Shinji Watanabe

    Johns Hopkins University, United States

    22 publications · 3K citations

    17

    h-index

  2. TH
    Takaaki Hori

    Mitsubishi Electric (United States), United States

    13 publications · 2.5K citations

    13

    h-index

  3. JL
    Jinyu Li

    Microsoft (United States), United States

    10 publications · 781 citations

    10

    h-index

  4. KR
    Kanishka Rao

    Google (United States), United States

    9 publications · 957 citations

    9

    h-index

  5. HS
    Haşim Sak

    Google (United States), United States

    9 publications · 919 citations

    9

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 1.8K citations

    20

    h-index

  2. 9

    h-index

  3. 5

    h-index

  4. IEEE Access

    6 publications · 249 citations

    5

    h-index

  5. International Journal of Intelligent Systems

    4 publications · 133 citations

    4

    h-index

1–5