David Camilo Corrales

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Fault Detection

Density Estimation

Complex Event Processing

Top Venues

Comput. Electron. Agric.

Int. J. Agric. Environ. Inf. Syst.

Publications

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 (2024)
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)
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) (2023)
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) (2022)
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) (2022)
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 (2022)
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 (2020)
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 (2020)
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 (2020)
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) (2019)
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) (2018)
David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
From Theory to Practice: A Data Quality Framework for Classification Tasks. Symmetry 10 (7) (2018)
Jose Eduardo Gomez, David Camilo Corrales, Emmanuel Lasso, José Antonio Iglesias, Juan Carlos Corrales
Volcanic Anomalies Detection Through Recursive Density Estimation. MICAI (1) (2018)
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) (2018)
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) (2018)
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) (2017)
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)
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)
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) (2016)
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)
David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma
Sequential classifiers for network intrusion detection based on data selection process. SMC (2016)
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)
David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales
An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. ICCSA (1) (2015)
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) (2015)