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| [1] |
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Darwin Brochero, François Anctil, Christian Gagné and Karol Lina Lopez,
"Finding Diversity for Building One-day Ahead Hydrological Ensemble Prediction System based on Artificial Neural Network Stacks",
in European Geosciences Union (EGU), Geophysical Research Abstract, April 7-12 2013. |
 
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| [2] |
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Darwin Brochero, Christian Gagné and François Anctil,
"Evolutionary Multiobjective Optimization for Selecting Members of an Ensemble Streamflow Forecasting Model",
in Proc. of the Genetic and Evolutionary Computation Conference (GECCO 2013), July 6-10 2013. |
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| [3] |
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Darwin Brochero, François Anctil and Christian Gagné,
"Forward Greedy ANN input selection in a stacked framework with Adaboost.RT - A streamflow forecasting case study exploiting radar rainfall estimates",
in European Geosciences Union (EGU), Geophysical Research Abstract, 22-27 April 2012. |
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| [4] |
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Darwin Brochero, François Anctil and Christian Gagné,
"Comparison of three methods for the optimal allocation of hydrological model participation in an Ensemble Prediction System",
in European Geosciences Union (EGU), Geophysical Research Abstract, 22-27 April 2012. |
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| [5] |
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Darwin Brochero, François Anctil and Christian Gagné,
"An Experience on the Selection of Members for Simplifying a Multimodel Hydrological Ensemble Prediction System",
in CSHS Workshop: Operational River Flow and Water Supply Forecasting, October 6-7 2011. |
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| [6] |
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Darwin Brochero, François Anctil and Christian Gagné,
"Simplifying a hydrological ensemble prediction system with a backward greedy selection of members -- Part 2: Generalization in time and space",
Hydrology and Earth System Sciences, vol. 15, no 11, pp. 3327--3341, 2011. |
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| [7] |
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Darwin Brochero, François Anctil and Christian Gagné,
"Simplifying a hydrological ensemble prediction system with a backward greedy selection of members -- Part 1: Optimization criteria",
Hydrology and Earth System Sciences, vol. 15, no 11, pp. 3307--3325, 2011. |
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| [8] |
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François Anctil, Darwin Brochero and Christian Gagné,
"Which Optimization Criterion Leads to the Reliable Simplification of a Hydrological Ensemble Prediction System with a Backward Greedy Selection of Members?",
in European Geosciences Union (EGU), Geophysical Research Abstract, (Vienna, Austria), 2011. |
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