Exogenous Variable Features

Exogenous Variable Features is a type of time series feature that captures external predictor variables not influenced by the system's internal dynamics, thereby distinguishing it from endogenous features that are derived from the target variable's own historical values.

19

Publications

997

Citations

57

Authors

25

Institutions

Publications per year

2017–2026

14

Variants

Exogenous FeaturesExogenous Regressors

Authors

57

  1. OB
    Olivier Blanc

    Centre Hospitalier Universitaire de Clermont-Ferrand, France

    1 publications · 27 citations

    1

    h-index

  2. LY
    Lingfan Yang

    China Jiliang University, China

    1 publications · 397 citations

    1

    h-index

  3. AP
    Alessio Pili

    University of Cagliari, Italy

    1 publications · 65 citations

    1

    h-index

  4. ME
    Mohamed Essaaidi

    Mohammed V University, Morocco

    1 publications · 112 citations

    1

    h-index

  5. DR
    Diego Reforgiato Recupero

    University of Cagliari, Italy

    1 publications · 65 citations

    1

    h-index

1–5 of 57

Venues

  1. European Psychiatry

    1 publications · 27 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 12 citations

    1

    h-index

  3. Sustainability

    1 publications · 11 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 24 citations

    1

    h-index

  5. Journal of Sociolinguistics

    1 publications · 10 citations

    1

    h-index

1–5