Real-time Event Representation

Real-Time Event Representation is a methodological framework within event representation that enables the continuous and immediate modeling of events as they unfold, distinguishing itself by its temporal immediacy and dynamic updating capacity.

22

Publications

1.5K

Citations

80

Authors

29

Institutions

Publications per year

2017–2026

7

Authors

80

  1. LG
    Luis Gravano

    Columbia University, United States

    2 publications · 774 citations

    2

    h-index

  2. HB
    Hila Becker

    Columbia University, United States

    2 publications · 774 citations

    2

    h-index

  3. MN
    Mor Naaman

    Cornell University, United States

    2 publications · 774 citations

    2

    h-index

  4. CM
    C. Mitidieri

    Universität Ulm, Germany

    1 publications · 21 citations

    1

    h-index

  5. WY
    WeiQi Yan

    National University of Singapore, Singapore

    1 publications · 35 citations

    1

    h-index

1–5 of 80

Venues

  1. Neurocomputing

    1 publications · 49 citations

    1

    h-index

  2. IFAC Proceedings Volumes

    1 publications · 11 citations

    1

    h-index

  3. Future Generation Computer Systems

    FGCS · 1 publications · 25 citations

    1

    h-index

  4. IEEE Internet Computing

    1 publications · 37 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 21 citations

    1

    h-index

1–5