Bayesian Time Series Classification

Bayesian Time Series Classification is a statistical classification framework that employs Bayesian inference to model uncertainty in time-dependent data sequences, distinguishing itself through the integration of prior knowledge and posterior updating within a probabilistic time series setting.

20

Publications

1.5K

Citations

79

Authors

43

Institutions

Publications per year

2017–2026

7

Authors

79

  1. RS
    René–Vinicio Sánchez

    Politecnica Salesiana University, Ecuador

    1 publications · 138 citations

    1

    h-index

  2. RK
    Ravin Kumar

    Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina

    1 publications · 792 citations

    1

    h-index

  3. DC
    Diego Cabrera

    Politecnica Salesiana University, Ecuador

    1 publications · 138 citations

    1

    h-index

  4. CC
    Christian C. Luhmann

    Stony Brook University, United States

    1 publications · 792 citations

    1

    h-index

  5. RR
    Rishi Relan

    Technical University of Denmark, Denmark

    1 publications · 31 citations

    1

    h-index

1–5 of 79

Venues

  1. Remote Sensing

    1 publications · 16 citations

    1

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  2. Multimedia Tools and Applications

    1 publications · 61 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 15 citations

    1

    h-index

  4. 1

    h-index

  5. PeerJ Computer Science

    1 publications · 792 citations

    1

    h-index

1–5