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Ofir Reich
Ofir Reich
Unknown affiliation
Verified email at google.com
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Year
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
812022
Modeling COVID-19 on a network: super-spreaders, testing and containment
O Reich, G Shalev, T Kalvari
MedRxiv, 2020.04. 30.20081828, 2020
352020
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
182018
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
42020
COVID-19 Test & Trace Success Determinants: Modeling On A Network
O Reich
MedRxiv, 2020.08. 05.20168799, 2020
32020
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
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