David Camilo Corrales

According to our database, David Camilo Corrales authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations.

Juan C. Acosta-Pavas, Carlos Eduardo Robles-Rodríguez, David Griol, Fayza Daboussi, Cesar Arturo Aceves-Lara, David Camilo Corrales

Comput. Chem. Eng., 2024

2023

A Qualitative Dataset for Coffee Bio-Aggressors Detection Based on the Ancestral Knowledge of the Cauca Coffee Farmers in Colombia.

Juan Felipe Valencia-Mosquera, David Griol, Mayra Solarte-Montoya, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales

Data, 2023

Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms.

Juan C. Acosta-Pavas, David Griol, Zoraida Callejas, David Camilo Corrales, Carlos Eduardo Robles-Rodríguez, Jérôme Morchain, César Arturo Aceves-Lara

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

2022

RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust.

Carlos Suarez, David Griol, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales

Sensors, 2022

Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling.

Edwar Javier Giron Buitron, David Camilo Corrales, María Paz Sesmero, José Antonio Iglesias, Juan Carlos Corrales

Evol. Syst., 2022

A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France.

David Camilo Corrales, Céline Schoving, Hélène Raynal, Philippe P. Debaeke, Etienne-Pascal Journet, Julie Constantin

Comput. Electron. Agric., 2022

2020

A computer vision system for automatic cherry beans detection on coffee trees.

Jhonn Pablo Rodríguez, David Camilo Corrales, Jean-Noël Aubertot, Juan Carlos Corrales

Pattern Recognit. Lett., 2020

Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches.

Emmanuel Lasso, David Camilo Corrales, Jacques Avelino, Elias de Melo Virginio Filho, Juan Carlos Corrales

Comput. Electron. Agric., 2020

A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks.

David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales

Appl. Soft Comput., 2020

2019

Rule-based expert system for detection of coffee rust warnings in colombian crops.

Edwar Javier Giron Buitron, David Camilo Corrales, Jacques Avelino, José Antonio Iglesias, Juan Carlos Corrales

J. Intell. Fuzzy Syst., 2019

2018

From Theory to Practice: A Data Quality Framework for Classification Tasks.

David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales

Symmetry, 2018

How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning.

David Camilo Corrales, Juan Carlos Corrales, Agapito Ledezma

Symmetry, 2018

Feature selection for classification tasks: Expert knowledge or traditional methods?

David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales

J. Intell. Fuzzy Syst., 2018

A Process for Increasing the Samples of Coffee Rust Through Machine Learning Methods.

Jhonn Pablo Rodríguez, David Camilo Corrales, Juan Carlos Corrales

Int. J. Agric. Environ. Inf. Syst., 2018

Volcanic Anomalies Detection Through Recursive Density Estimation.

Jose Eduardo Gomez, David Camilo Corrales, Emmanuel Lasso, José Antonio Iglesias, Juan Carlos Corrales

Proceedings of the Advances in Soft Computing, 2018

2017

Water quality detection based on a data mining process on the California estuary.

Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales

Int. J. Bus. Intell. Data Min., 2017

Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series?

David Camilo Corrales, Germán Gutiérrez, Jhonn Pablo Rodríguez, Agapito Ledezma, Juan Carlos Corrales

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset.

Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016

Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops.

David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales

Int. J. Agric. Environ. Inf. Syst., 2016

Sequential classifiers for network intrusion detection based on data selection process.

David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Validation of Coffee Rust Warnings Based on Complex Event Processing.

Julián Eduardo Plazas, Juan Sebastián Rojas, David Camilo Corrales, Juan Carlos Corrales

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin.

Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

2015

A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal.

David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales

J. Comput., 2015

An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops.

David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015