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Corrales, David Camilo
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1

Soft sensors based on interpretable learners for industrial..:

Acosta-Pavas, Juan Camilo ; Robles-Rodriguez, Carlos Eduardo ; Griol, David...
Computers & Chemical Engineering.  187 (2024)  - p. 108736 , 2024
Link: https://doi.org/10.1016/..
 
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2

Fault Detection in Biological Methanation Process Using Mac..:

, In: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023); Lecture Notes in Networks and Systems,
Acosta-Pavas, Juan C. ; Griol, David ; Callejas, Zoraida... - p. 132-142 , 2023
Link: https://doi.org/10.1007/..
 
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3

A Qualitative Dataset for Coffee Bio-Aggressors Detection B..:

Valencia-Mosquera, Juan Felipe ; Griol, David ; Solarte-Montoya, Mayra...
Data.  8 (2023)  12 - p. 186 , 2023
Link: https://doi.org/10.3390/..
 
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4

RustOnt: An Ontology to Explain Weather Favorable Condition..:

Suarez, Carlos ; Griol, David ; Figueroa, Cristhian..
Sensors.  22 (2022)  24 - p. 9598 , 2022
Link: https://doi.org/10.3390/..
 
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5

A surrogate model based on feature selection techniques and..:

Corrales, David Camilo ; Schoving, Céline ; Raynal, Hélène...
Computers and Electronics in Agriculture.  192 (2022)  - p. 106578 , 2022
Link: https://doi.org/10.1016/..
 
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6

A Process for Increasing the Samples of Coffee Rust Through..:

, In: Research Anthology on Machine Learning Techniques, Methods, and Applications,
Rodríguez, Jhonn Pablo ; Corrales, David Camilo ; Corrales, Juan Carlos - p. 396-419 , 2022
Link: https://doi.org/10.4018/..
 
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7

Biological seed treatments promote crop establishment and y..:

Lamichhane, Jay Ram ; Corrales, David Camilo ; Soltani, Elias
Agronomy for Sustainable Development.  42 (2022)  3 - p. , 2022
Link: https://doi.org/10.1007/..
 
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8

A Systematic Mapping Study of Coffee Quality throughout the..:

Rendón-Mera, Alicia María ; Corrales, David Camilo ; Peñuela Mesa, Gustavo Antonio.
Journal of Food Quality.  2022 (2022)  - p. 1-18 , 2022
Link: https://doi.org/10.1155/..
 
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9

IPSIM-Cirsium, a Qualitative Expert-Based Model to Predict ..:

Lacroix, Octave ; Aubertot, Jean-Noël ; Bohanec, Marko...
Frontiers in Agronomy.  3 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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10

Synthetic samples generator (SYSGEN), an approach to increa..:

Girón, Edwar Javier ; Corrales, David Camilo ; Sesmero, María Paz..
Evolving Systems.  13 (2021)  4 - p. 625-636 , 2021
Link: https://doi.org/10.1007/..
 
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11

HMP-Coffee: A Hierarchical Multicriteria Model to Estimate ..:

Casilimas, Leidy ; Corrales, David Camilo ; Solarte Montoya, Mayra...
Applied Sciences.  11 (2021)  15 - p. 6880 , 2021
Link: https://doi.org/10.3390/..
 
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12

A MOOC for Farmers: Agroclimatic Tools for Crop Protection:

Corrales, David Camilo ; Figueroa, Apolinar
Revista Ingenierías Universidad de Medellín.  20 (2021)  38 - p. 133-146 , 2021
Link: https://doi.org/10.22395..
 
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13

Qualitative modeling of fruit fly injuries on chayote in Ré..:

Deguine, Jean-Philippe ; Robin, Marie-Hélène ; Corrales, David Camilo...
Crop Protection.  139 (2021)  - p. 105367 , 2021
Link: https://doi.org/10.1016/..
 
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14

Discovering weather periods and crop properties favorable f..:

Lasso, Emmanuel ; Corrales, David Camilo ; Avelino, Jacques..
Computers and Electronics in Agriculture.  176 (2020)  - p. 105640 , 2020
Link: https://doi.org/10.1016/..
 
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15

A computer vision system for automatic cherry beans detecti..:

Rodríguez, Jhonn Pablo ; Corrales, David Camilo ; Aubertot, Jean-Noël.
Pattern Recognition Letters.  136 (2020)  - p. 142-153 , 2020
Link: https://doi.org/10.1016/..
 
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