Temporal Uncertainty Modeling

Temporal Uncertainty Modeling is a formal computational framework within temporal knowledge representation that characterizes and reasons about indeterminate or probabilistic temporal occurrences by explicitly encoding the uncertainty inherent in the timing, duration, or ordering of events.

131

Publications

4.9K

Citations

346

Authors

211

Institutions

Publications per year

2017–2026

25

Authors

346

  1. LN
    Libero Nigro

    University of Calabria, Italy

    5 publications · 61 citations

    5

    h-index

  2. ML
    Margaret L. Loper

    Georgia Institute of Technology, United States

    4 publications · 62 citations

    4

    h-index

  3. RB
    Roberto Beraldi

    Sapienza University of Rome, Italy

    4 publications · 50 citations

    4

    h-index

  4. RF
    R.M. Fujimoto

    Georgia Institute of Technology, United States

    4 publications · 97 citations

    4

    h-index

  5. FB
    François Brémond

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 47 citations

    3

    h-index

1–5 of 346

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 129 citations

    5

    h-index

  2. Fuzzy Sets and Systems

    3 publications · 77 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 152 citations

    3

    h-index

  4. International Journal of Computational Intelligence Systems

    IJCIS · 3 publications · 135 citations

    3

    h-index

  5. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 38 citations

    2

    h-index

1–5