Nofar Peled Levi

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ PDF Chat Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets 2019 Frederik Kratzert
Daniel Klotz
Guy Shalev
Günter Klambauer
Sepp Hochreiter
Grey Nearing
2
+ HydroNets: Leveraging River Structure for Hydrologic Modeling 2020 Zach Moshe
Asher Metzger
Frederik Kratzert
Gal Elidan
Sella Nevo
Ran El‐Yaniv
2
+ PDF Chat A deep convolutional neural network model for rapid prediction of fluvial flood inundation 2020 Syed Rezwan Kabir
Sandhya Patidar
Xilin Xia
Qiuhua Liang
Jeffrey Neal
Gareth Pender
2
+ PDF Chat Flood Prediction Using Machine Learning Models: Literature Review 2018 Amir Mosavi
Pınar Öztürk
Kwok‐wing Chau
2
+ PDF Chat Enhancing Streamflow Forecast and Extracting Insights Using Long‐Short Term Memory Networks With Data Integration at Continental Scales 2020 Dapeng Feng
Kuai Fang
Chaopeng Shen
2
+ ML-based Flood Forecasting: Advances in Scale, Accuracy and Reach 2020 Sella Nevo
Gal Elidan
Avinatan Hassidim
Guy Shalev
Oren Gilon
Grey Nearing
Yossi Matias
2
+ PDF Chat What Role Does Hydrological Science Play in the Age of Machine Learning? 2020 Grey Nearing
Frederik Kratzert
Alden Keefe Sampson
Craig Pelissier
Daniel Klotz
Jonathan Frame
Cristina Prieto
Hoshin V. Gupta
2
+ What Role Does Hydrological Science Play in the Age of Machine Learning? 2020 Grey Nearing
Frederik Kratzert
Alden Keefe Sampson
Craig Pelissier
Daniel Klotz
Jonathan Frame
Cristina Prieto
Hoshin V. Gupta
1
+ Inundation Modeling in Data Scarce Regions 2019 Zvika Ben-Haim
В. И. Анисимов
Aaron Yonas
Varun Gulshan
Yusef Shafi
Stephan Hoyer
Sella Nevo
1
+ PDF Chat Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa 2020 Zhongrun Xiang
İbrahim Demir
1
+ PDF Chat Rainfall–runoff prediction at multiple timescales with a single Long Short-Term Memory network 2021 Martin Gauch
Frederik Kratzert
Daniel Klotz
Grey Nearing
Jimmy Lin
Sepp Hochreiter
1
+ PDF Chat Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks 2018 Frederik Kratzert
Daniel Klotz
Claire Brenner
Karsten Schulz
Mathew Herrnegger
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ Inundation Modeling in Data Scarce Regions 2019 Zvika Ben-Haim
Vova Anisimov
Aaron David Yonas
Varun Gulshan
Yusef Shafi
Stephan Hoyer
Sella Nevo
1
+ Rainfall-Runoff modelling using Long-Short-Term-Memory (LSTM) networks 2018 Frederik Kratzert
Daniel Klotz
Claire Brenner
Karsten Schulz
Mathew Herrnegger
1
+ PDF Chat Distributed long-term hourly streamflow predictions using deep learning – A case study for State of Iowa 2020 Zhongrun Xiang
İbrahim Demir
1
+ PDF Chat Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling 2020 Daniel Klotz
Frederik Kratzert
Martin Gauch
Alden Keefe Sampson
Günter Klambauer
Sepp Hochreiter
Grey Nearing
1
+ Uncertainty Estimation with Deep Learning for Rainfall–Runoff Modelling 2021 Daniel Klotz
Frederik Kratzert
Martin Gauch
Alden Keefe Sampson
J. Brandstetter
Günter Klambauer
Sepp Hochreiter
Grey Nearing
1