Time-aware Forecasting

Time-Aware Forecasting is a time series prediction methodology that explicitly incorporates irregular temporal intervals and timestamp information into the modeling process to enhance forecasting accuracy for non-uniformly sampled data.

21

Publications

624

Citations

76

Authors

42

Institutions

Publications per year

2017–2026

10

Authors

76

  1. RS
    Ramit Sawhney

    Indraprastha Institute of Information Technology Delhi, India

    2 publications · 93 citations

    2

    h-index

  2. DP
    Dino Pedreschi

    University of Pisa, Italy

    2 publications · 40 citations

    2

    h-index

  3. FG
    Fosca Giannotti

    University of Pisa, Italy

    2 publications · 40 citations

    2

    h-index

  4. SA
    Shivam Agarwal

    Indraprastha Institute of Information Technology Delhi, India

    2 publications · 93 citations

    2

    h-index

  5. RG
    Riccardo Guidotti

    University of Pisa, Italy

    2 publications · 40 citations

    2

    h-index

1–5 of 76

Venues

  1. Sensors

    1 publications · 23 citations

    1

    h-index

  2. Social Network Analysis and Mining

    1 publications · 19 citations

    1

    h-index

  3. 1

    h-index

  4. Expert Systems with Applications

    1 publications · 80 citations

    1

    h-index

  5. 1

    h-index

1–5