Nombre de documents archivés : 3.
Article
    Alobaidi, Mohammad H.; Meguid, Mohamed A. et Chebana, Fateh  ORCID: https://orcid.org/0000-0002-3329-8179
  
(2020).
Varying-parameter modeling within ensemble architecture: Application to extended streamflow forecasting.
    Journal of Hydrology
	  , vol. 582
	  .
	
     p. 124511.
     DOI: 10.1016/j.jhydrol.2019.124511.
ORCID: https://orcid.org/0000-0002-3329-8179
  
(2020).
Varying-parameter modeling within ensemble architecture: Application to extended streamflow forecasting.
    Journal of Hydrology
	  , vol. 582
	  .
	
     p. 124511.
     DOI: 10.1016/j.jhydrol.2019.124511. 
  
  
    Alobaidi, Mohammad H.; Meguid, Mohamed A. et Chebana, Fateh  ORCID: https://orcid.org/0000-0002-3329-8179
  
(2019).
Predicting seismic-induced liquefaction through ensemble learning frameworks.
    Scientific Reports
	  , vol. 9
	  , nº 1.
	
     p. 11786.
     DOI: 10.1038/s41598-019-48044-0.
ORCID: https://orcid.org/0000-0002-3329-8179
  
(2019).
Predicting seismic-induced liquefaction through ensemble learning frameworks.
    Scientific Reports
	  , vol. 9
	  , nº 1.
	
     p. 11786.
     DOI: 10.1038/s41598-019-48044-0. 
  
  
    Alobaidi, Mohammad H.; Chebana, Fateh  ORCID: https://orcid.org/0000-0002-3329-8179 et Meguid, Mohamed A.
  
(2018).
Robust ensemble learning framework for day-ahead forecasting of household based energy consumption.
    Applied Energy
	  , vol. 212
	  .
	
     pp. 997-1012.
     DOI: 10.1016/j.apenergy.2017.12.054.
ORCID: https://orcid.org/0000-0002-3329-8179 et Meguid, Mohamed A.
  
(2018).
Robust ensemble learning framework for day-ahead forecasting of household based energy consumption.
    Applied Energy
	  , vol. 212
	  .
	
     pp. 997-1012.
     DOI: 10.1016/j.apenergy.2017.12.054. 
  
  
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