Flood forecasting with machine learning models in an operational framework S Nevo, E Morin, A Gerzi Rosenthal, A Metzger, C Barshai, D Weitzner, ... Hydrology and Earth System Sciences 26 (15), 4013-4032, 2022 | 81 | 2022 |
Modeling COVID-19 on a network: super-spreaders, testing and containment O Reich, G Shalev, T Kalvari MedRxiv, 2020.04. 30.20081828, 2020 | 35 | 2020 |
Who is bogus? using one-sided labels to identify fraudulent firms from tax returns S Mittal, O Reich, A Mahajan Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 18 | 2018 |
Modeling COVID-19 on a network: super-spreaders, testing and containment. MedRxiv. 2020 O Reich, G Shalev, T Kalvari https://www. medrxiv. org/content/10.1101/2020.04 30, v1, 0 | 5 | |
Using Data for Development: Evidence from a Phone System for Agricultural Advice TF Walter, M Kremer, O Reich, Z Sun, S van Herwaarden, H Yesigat | 4 | 2020 |
COVID-19 Test & Trace Success Determinants: Modeling On A Network O Reich MedRxiv, 2020.08. 05.20168799, 2020 | 3 | 2020 |
Google’s flood forecasting framework: connecting data, models, risks and people S Nevo, AG Rosenthal, A Metzger, D Weitzner, E Morin, G Elidan, ... AGU Fall Meeting 2020, 2020 | | 2020 |
Google's flood forecasting framework: connecting data, models, risks and people E Morin, S Nevo, A Gerzi Rosenthal, A Metzger, D Weitzner, G Elidan, ... AGU Fall Meeting Abstracts 2020, H216-04, 2020 | | 2020 |
Getting the most out of satellite-based precipitation data for forecasting river floods with deep neural networks E Morin, C Gazen, Z Moshe, O Reich, A Metzger, G Shalev, G Begelman, ... AGU Fall Meeting Abstracts 2020, H191-02, 2020 | | 2020 |
How Google's Flood Forecasting Initiative Leverages Deep Learning Hydrologic Models A Metzger, Z Moshe, G Shalev, O Reich, Z Ben-Haim, V Anisimov, E Morin, ... EGU2020, 2020 | | 2020 |
COVID-19 Test & Trace Success Determinants: Modeling On A Network (preprint) O Reich | | 2020 |
Modeling COVID-19 on a network: super-spreaders, testing and containment (preprint) O Reich, G Shalev, T Kalvari | | 2020 |