Real-time Behavior Modeling

Real-Time Behavior Modeling is a computational modeling approach that distinguishes itself by continuously capturing, analyzing, and predicting behavioral patterns as they occur, enabling immediate response to dynamic behavioral inputs within minimal latency.

72

Publications

2.2K

Citations

209

Authors

102

Institutions

Publications per year

2017–2026

19

Authors

209

  1. WF
    Wael F. Asaad

    Brown University, United States

    2 publications · 235 citations

    2

    h-index

  2. KH
    Kai Hu

    Nanjing University of Information Science and Technology, China

    2 publications · 50 citations

    2

    h-index

  3. EN
    Emad N. Eskandar

    Massachusetts General Hospital, United States

    2 publications · 235 citations

    2

    h-index

  4. DM
    Dianfu Ma

    Beihang University, China

    2 publications · 50 citations

    2

    h-index

  5. GM
    Gergely Magyar

    Technical University of Košice, Slovakia

    1 publications · 19 citations

    1

    h-index

1–5 of 209

Venues

  1. Journal of Neuroscience Methods

    2 publications · 235 citations

    2

    h-index

  2. Behaviour and Information Technology

    2 publications · 67 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 51 citations

    2

    h-index

  4. IrInSubria (University of Insubria)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Computer Music Journal

    1 publications · 24 citations

    1

    h-index

1–5