Concepedia

Explainable Forecasting Models

Explainable Forecasting Models is a type of river stage forecasting model that belongs to the class of predictive hydrological models and is distinguished by its inherent capacity to provide transparent, interpretable, and physically meaningful representations of the relationships and mechanisms driving its predictions.

36

Publications

1.9K

Citations

153

Authors

95

Institutions

Publications per year

2017–2026

35

Parents

Publications

36

Shapley additive explanations for NO2 forecasting

María Vega García, Jose L Aznarte · Ecological Informatics · 2019 · 335 citations

, , +9

Interpretation of ensemble learning to predict water quality using explainable artificial intelligence

Jungsu Park, Woo Hyoung Lee, Keugtae Kim et al. · The Science of The Total Environment · 2022 · 228 citations

, , +14

A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset

Husam A. H. Al-Najjar, Biswajeet Pradhan, Ghassan Beydoun et al. · Gondwana Research · 2022 · 179 citations

, , +17

Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling

Debaditya Chakraborty, Hakan Başağaoğlu, James Winterle · Expert Systems with Applications · 2020 · 138 citations

, , +14

River flooding mechanisms and their changes in Europe revealed by explainable machine learning

Shijie Jiang, Emanuele Bevacqua, Jakob Zscheischler · Hydrology and earth system sciences · 2022 · 75 citations · Full text

, , +15

1–5 of 36

Authors

153

  1. DR
    Dilini Rajapaksha

    Monash University, Australia

    2 publications · 30 citations

    2

    h-index

  2. WG
    Weizhi Gao

    South China University of Technology, China

    2 publications · 112 citations

    2

    h-index

  3. MF
    Ming Fan

    Virginia Tech, United States

    2 publications · 60 citations

    2

    h-index

  4. SL
    Siyan Liu

    Oak Ridge National Laboratory, United States

    2 publications · 60 citations

    2

    h-index

  5. DL
    Dan Lu

    Oak Ridge National Laboratory, United States

    2 publications · 60 citations

    2

    h-index

1–5 of 153

Institutions

95

  1. Monash University

    Melbourne, Australia

    2 h-index

    5 publications

    78 citations

  2. King Saud University

    Riyadh, Saudi Arabia

    2 h-index

    3 publications

    243 citations

  3. Oak Ridge National Laboratory

    Oak Ridge, United States

    2 h-index

    8 publications

    244 citations

  4. South China University of Technology

    Guangzhou, China

    2 h-index

    13 publications

    728 citations

  5. Guangzhou Experimental Station

    Guangzhou, China

    2 h-index

    4 publications

    224 citations

  6. Delhi Skill and Entrepreneurship University

    New Delhi, India

    1 h-index

    1 publications

    32 citations

  7. Henan Province Water Conservancy Survey and Design Research

    Zhengzhou, China

    1 h-index

    1 publications

    15 citations

  8. Corvinus University of Budapest

    Budapest, Hungary

    1 h-index

    2 publications

    42 citations

1–8 of 95

Venues

  1. Expert Systems with Applications

    4 publications · 224 citations

    4

    h-index

  2. The Science of The Total Environment

    3 publications · 325 citations

    3

    h-index

  3. Ecological Informatics

    2 publications · 391 citations

    2

    h-index

  4. Gondwana Research

    1 publications · 179 citations

    1

    h-index

  5. Journal of Hydrology Regional Studies

    1 publications · 32 citations

    1

    h-index

1–5