Uncertain Event Representation

Uncertain Event Representation is a formal computational framework that models events with incomplete, ambiguous, or probabilistic information by explicitly capturing the uncertainty in event temporal, causal, or ontological structures.

41

Publications

1.3K

Citations

89

Authors

59

Institutions

Publications per year

2017–2026

9

Authors

89

  1. OE
    Opher Etzion

    IBM Research - Haifa, Israel

    4 publications · 231 citations

    4

    h-index

  2. AG
    Avigdor Gal

    Technion – Israel Institute of Technology, Israel

    4 publications · 206 citations

    4

    h-index

  3. SW
    Segev Wasserkrug

    IBM Research - Haifa, Israel

    3 publications · 179 citations

    3

    h-index

  4. AA
    Alexander Artikis

    National Centre of Scientific Research "Demokritos", Greece

    3 publications · 133 citations

    3

    h-index

  5. YT
    Yulia Turchin

    Technion – Israel Institute of Technology, Israel

    2 publications · 159 citations

    2

    h-index

1–5 of 89

Venues

  1. Journal of Experimental Psychology

    2 publications · 90 citations

    2

    h-index

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

    Repository · 2 publications · 158 citations

    2

    h-index

  3. Journal of Guidance Control and Dynamics

    2 publications · 46 citations

    2

    h-index

  4. Operations Research

    1 publications · 55 citations

    1

    h-index

  5. Journal of Information Science

    JIS · 1 publications · 15 citations

    1

    h-index

1–5