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Morales, Yerel
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1

Explainability of Machine Learning Models for Hydrological ..:

, In: 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME),
Querales, Marvin ; Salas, Rodrigo ; Torres, Romina.. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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A stacking neuro-fuzzy framework to forecast runoff from di..:

Querales, Marvin ; Salas, Rodrigo ; Morales, Yerel..
Applied Soft Computing.  118 (2022)  - p. 108535 , 2022
Link: https://doi.org/10.1016/..
 
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3

A self-identification Neuro-Fuzzy inference framework for m..:

Morales, Yerel ; Querales, Marvin ; Rosas, Harvey..
Journal of Hydrology.  594 (2021)  - p. 125910 , 2021
Link: https://doi.org/10.1016/..
 
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4

Addressing the Effects of Climate Change on Modeling Future..:

Gil, Esteban ; Morales, Yerel ; Ochoa, Tomás
Energies.  14 (2021)  1 - p. 241 , 2021
Link: https://doi.org/10.3390/..
 
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5

Addressing the Effects of Climate Change on Modeling Future..:

Esteban Gil ; Yerel Morales ; Tomás Ochoa
A3: Wind, Wave and Tidal Energy.  , 2021
Link: https://doi.org/10.3390/..
 
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6

Addressing the Effects of Climate Change on Modeling Future..:

Esteban Gil ; Yerel Morales ; Tomás Ochoa
https://www.mdpi.com/1996-1073/14/1/241.  , 2021
Link: https://doi.org/10.3390/..
 
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7

Evaluación y modelación de información hidrológica para pro..:

Morales Pino, Yerel Alejandra
https://repositorio.uchile.cl/handle/2250/140345.  , 2016
Link: https://repositorio.uchi..
 
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