Presentations

An integrated probabilistic deep learning framework for runoff forecasting, at Canadian Water Resources Association (CWRA) 2023 National Conference, Halifax, Canada., Sunday, June 18, 2023
Presented by:
Jahangir, M.S., Quilty, J.
 
Citation:
Jahangir, M.S. , & Quilty, J.. (2023, June 18-21). An integrated probabilistic deep learning framework for runoff forecasting [Conference presentation]. Canadian Water Resources Association (CWRA) 2023 National Conference, Halifax, Canada.
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Bayesian extreme learning machines for hydrological prediction uncertainty, at Google Flood Forecasting Meets Machine Learning Workshop, Online (Invite only)., Tuesday, January 10, 2023
Presented by:
Quilty, J., Jahangir, M.S., You, J., Hughes, H., Hah, D., Tzoganakis, I.
 
Citation:
Quilty, J. , Jahangir, M.S. , You, J. , Hughes, H. , Hah, D. , & Tzoganakis, I.. (2023, January 10-11). Bayesian extreme learning machines for hydrological prediction uncertainty [Conference presentation]. Google Flood Forecasting Meets Machine Learning Workshop, Online (Invite only).
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Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting, at American Geophysical Union (AGU) Fall Meeting 2022, Online., Monday, December 12, 2022
Presented by:
Jahangir, M.S., You, J., Quilty, J.
 
Citation:
Jahangir, M.S. , You, J. , & Quilty, J.. (2022, December 12-16). Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.
Read more about Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting
Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models, at American Geophysical Union (AGU) Fall Meeting 2022, Online., Monday, December 12, 2022
Presented by:
Jahangir, M.S., Quilty, J., You, J., Hughes, H., Hah, D.
 
Citation:
Jahangir, M.S. , Quilty, J. , You, J. , Hughes, H. , & Hah, D.. (2022, December 12-16). Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.
Read more about Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models