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ORCIDDavid Camilo Corrales
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2020 – today
- 2024
[j16]Juan C. Acosta-Pavas
, Carlos Eduardo Robles-Rodríguez, David Griol, Fayza Daboussi, Cesar Arturo Aceves-Lara, David Camilo Corrales:
Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. Comput. Chem. Eng. 187: 108736 (2024)- 2023
- [j15]Juan Felipe Valencia-Mosquera, David Griol, Mayra Solarte-Montoya, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales:
A Qualitative Dataset for Coffee Bio-Aggressors Detection Based on the Ancestral Knowledge of the Cauca Coffee Farmers in Colombia. Data 8(12): 186 (2023) - [c8]Juan C. Acosta-Pavas, David Griol, Zoraida Callejas, David Camilo Corrales, Carlos Eduardo Robles-Rodríguez, Jérôme Morchain, César Arturo Aceves-Lara:
Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms. SOCO (1) 2023: 132-142 - 2022
- [j14]David Camilo Corrales, Céline Schoving, Hélène Raynal, Philippe P. Debaeke, Etienne-Pascal Journet, Julie Constantin:
A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France. Comput. Electron. Agric. 192: 106578 (2022) - [j13]Edwar Javier Giron Buitron, David Camilo Corrales, María Paz Sesmero, José Antonio Iglesias, Juan Carlos Corrales:
Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. Evol. Syst. 13(4): 625-636 (2022) - [j12]Carlos Suarez, David Griol, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales:
RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust. Sensors 22(24): 9598 (2022) - 2020
- [j11]David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales:
A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks. Appl. Soft Comput. 90: 106180 (2020) - [j10]Emmanuel Lasso, David Camilo Corrales, Jacques Avelino, Elias de Melo Virginio Filho, Juan Carlos Corrales:
Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches. Comput. Electron. Agric. 176: 105640 (2020) - [j9]Jhonn Pablo Rodríguez, David Camilo Corrales, Jean-Noël Aubertot, Juan Carlos Corrales:
A computer vision system for automatic cherry beans detection on coffee trees. Pattern Recognit. Lett. 136: 142-153 (2020)
2010 – 2019
- 2019
- [j8]Edwar Javier Giron Buitron, David Camilo Corrales, Jacques Avelino, José Antonio Iglesias, Juan Carlos Corrales:
Rule-based expert system for detection of coffee rust warnings in colombian crops. J. Intell. Fuzzy Syst. 36(5): 4765-4775 (2019) - 2018
- [j7]Jhonn Pablo Rodríguez, David Camilo Corrales, Juan Carlos Corrales:
A Process for Increasing the Samples of Coffee Rust Through Machine Learning Methods. Int. J. Agric. Environ. Inf. Syst. 9(2): 32-52 (2018) - [j6]David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales:
Feature selection for classification tasks: Expert knowledge or traditional methods? J. Intell. Fuzzy Syst. 34(5): 2825-2835 (2018) - [j5]David Camilo Corrales, Juan Carlos Corrales, Agapito Ledezma:
How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning. Symmetry 10(4): 99 (2018) - [j4]David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales:
From Theory to Practice: A Data Quality Framework for Classification Tasks. Symmetry 10(7): 248 (2018) - [c7]Jose Eduardo Gomez, David Camilo Corrales, Emmanuel Lasso, José Antonio Iglesias, Juan Carlos Corrales:
Volcanic Anomalies Detection Through Recursive Density Estimation. MICAI (1) 2018: 299-314 - 2017
- [j3]Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales:
Water quality detection based on a data mining process on the California estuary. Int. J. Bus. Intell. Data Min. 12(4): 406-424 (2017) - [c6]Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias:
Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. EAIS 2017: 1-6 - [c5]David Camilo Corrales, Germán Gutiérrez, Jhonn Pablo Rodríguez, Agapito Ledezma, Juan Carlos Corrales:
Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series? ICCSA (2) 2017: 3-16 - 2016
- [j2]David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales:
Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops. Int. J. Agric. Environ. Inf. Syst. 7(3): 41-59 (2016) - [c4]Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales:
Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin. ICCSA (4) 2016: 665-683 - [c3]Julián Eduardo Plazas, Juan Sebastián Rojas, David Camilo Corrales, Juan Carlos Corrales:
Validation of Coffee Rust Warnings Based on Complex Event Processing. ICCSA (4) 2016: 684-699 - [c2]David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma:
Sequential classifiers for network intrusion detection based on data selection process. SMC 2016: 1827-1832 - 2015
- [j1]David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales:
A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal. J. Comput. 10(6): 396-405 (2015) - [c1]David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales:
An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. ICCSA (1) 2015: 60-74
Coauthor Index
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