Guy Shalev

发表

Caravan - A global community dataset for large-sample hydrology

Sella Nevo, Avinatan Hassidim, N. Addor, 2023, Scientific Data.

Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets

S. Hochreiter, G. Klambauer, G. Nearing, 2019, Hydrology and Earth System Sciences.

Hybrid forecasting: blending climate predictions with AI models

M. Boucher, R. Wilby, M. Zappa, 2023, Hydrology and Earth System Sciences.

Technical Note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks

Sella Nevo, G. Nearing, D. Klotz, 2021, Hydrology and Earth System Sciences.

ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach

G. Elidan, Sella Nevo, Avinatan Hassidim, 2020, ArXiv.

Accurate Hydrologic Modeling Using Less Information pdf

Ran El-Yaniv, Frederik Kratzert, Daniel Klotz, 2019, ArXiv.

Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling pdf

Sepp Hochreiter, Frederik Kratzert, Daniel Klotz, 2019, ArXiv.

Hybrid forecasting: combining dynamical predictions with data-driven models

M. Boucher, G. Villarini, G. Nearing, 2023 .

Hybrid forecasting: using statistics and machine learning to integrate predictions from dynamical models

M. Boucher, R. Wilby, M. Zappa, 2022 .

Flood forecasting with machine learning models in an operational framework pdf

Yossi Matias, Avinatan Hassidim, Gal Elidan, 2021, Hydrology and Earth System Sciences.

Global prediction of extreme floods in ungauged watersheds

Sella Nevo, Avinatan Hassidim, F. Pappenberger, 2024, Nature.