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Soukayna Mouatadid
Soukayna Mouatadid
Bestätigte E-Mail-Adresse bei cs.toronto.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
WeatherBench: a benchmark data set for data‐driven weather forecasting
S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey
Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020
3332020
Using extreme learning machines for short-term urban water demand forecasting
S Mouatadid, J Adamowski
Urban water journal 14 (6), 630-638, 2017
922017
Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region
S Mouatadid, N Raj, RC Deo, JF Adamowski
Atmospheric research 212, 130-149, 2018
862018
Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting
S Mouatadid, JF Adamowski, MK Tiwari, JM Quilty
Agricultural Water Management 219, 72-85, 2019
752019
Online learning with optimism and delay
GE Flaspohler, F Orabona, J Cohen, S Mouatadid, M Oprescu, ...
International Conference on Machine Learning, 3363-3373, 2021
262021
A machine learning approach to non-uniform spatial downscaling of climate variables
S Mouatadid, S Easterbrook, AR Erler
2017 IEEE international conference on data mining workshops (ICDMW), 332-341, 2017
182017
Prediction of SPEI using MLR and ANN: A case study for Wilsons Promontory Station in Victoria
S Mouatadid, RC Deo, JF Adamowski
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
102015
Adaptive bias correction for improved subseasonal forecasting
S Mouatadid, P Orenstein, G Flaspohler, J Cohen, M Oprescu, E Fraenkel, ...
Nature Communications 14 (1), 3482, 2023
92023
Learned benchmarks for subseasonal forecasting
S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ...
arXiv preprint arXiv:2109.10399, 2021
72021
Development of a Daily Multilayer Cropland Soil Moisture Dataset for China Using Machine Learning and Application to Cropping Patterns
Y Liu, D Chen, S Mouatadid, X Lu, M Chen, Y Cheng, Z Xie, B Jia, H Wu, ...
Journal of Hydrometeorology 22 (2), 445-461, 2021
42021
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
S Mouatadid, P Orenstein, G Flaspohler, M Oprescu, J Cohen, F Wang, ...
Advances in Neural Information Processing Systems 36, 2024
32024
Non-uniform spatial downscaling of climate variables
S Mouatadid, S Easterbrook, A Erler
7th International workshop on clmate informatics, 2017
32017
RFID-based Location System for Forest Search and Rescue Missions
S Mouatadid, Z Fatara, Y Salih-Alj
2013 4th International Conference on Intelligent Systems, Modelling and …, 2013
22013
Recovering the parameters underlying the Lorenz-96 chaotic dynamics
S Mouatadid, P Gentine, W Yu, S Easterbrook
arXiv preprint arXiv:1906.06786, 2019
12019
Wavelet-Long Short-Term Memory Networks: An Approach to Irrigation Flow Forecasting
S Mouatadid, JF Adamowski, MK Tiwari, JM Quilty
Agricultural water management, 2019
12019
Correcting Historical Errors: An investigation of systematic errors in Arrhenius's 1896 climate model
SM Easterbrook, S Fassnacht, A Hurka, S Mouatadid
AGU Fall Meeting Abstracts 2018, A13O-2679, 2018
12018
Advancing Ensemble Subseasonal Forecasting with Machine Learning
S Totz, J Cohen, G Flaspohler, S Mouatadid, P Orenstein, L Mackey, ...
103rd AMS Annual Meeting, 2023
2023
Machine Learning for Improved Weather and Climate Predictions
S Mouatadid
University of Toronto (Canada), 2023
2023
Adaptive Bias Correction for Improved Subseasonal Forecast
S Mouatadid, P Orenstein, GE Flaspohler, J Cohen, M Oprescu, ...
NeurIPS 2022 AI for Science: Progress and Promises, 2022
2022
Applying Machine Learning to Improve Subseasonal-to-Seasonal (S2S) Forecasts
S Mouatadid, J Cohen, L Mackey
100th American Meteorological Society Annual Meeting, 2020
2020
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