An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. - David Camilo Corrales; Apolinar Figueroa; Agapito Ledezma; Juan Carlos Corrales (ICCSA (1), 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)

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 (ICCSA (4), 2016)

Validation of Coffee Rust Warnings Based on Complex Event Processing. - Julián Eduardo Plazas; Juan Sebastián Rojas; David Camilo Corrales; Juan Carlos Corrales (ICCSA (4), 2016)

Sequential classifiers for network intrusion detection based on data selection process. - David Camilo Corrales; Juan Carlos Corrales; Araceli Sanchis; Agapito Ledezma (SMC, 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)

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 001 (EAIS, 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 (ICCSA (2), 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)

Volcanic Anomalies Detection Through Recursive Density Estimation. - Jose Eduardo Gomez; David Camilo Corrales; Emmanuel Lasso; José Antonio Iglesias 001; Juan Carlos Corrales (MICAI (1), 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)

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)

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)

From Theory to Practice: A Data Quality Framework for Classification Tasks. - David Camilo Corrales; Agapito Ledezma; Juan Carlos Corrales (Symmetry, 2018)

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 001; Juan Carlos Corrales (J. Intell. Fuzzy Syst., 2019)

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)

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 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)

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)

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 001; Juan Carlos Corrales (Evol. Syst., 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)

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 (SOCO (1), 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)

A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production. - Juan C. Acosta-Pavas; David Camilo Corrales; Irene Martínez-Menéndez; Susana María Alonso Villela; Balkiss Bouhaouala-Zahar; Georgios K. Georgakilas; Konstantinos Mexis; Stefanos Xenios; Theodore Dalamagas 001; Antonis Kokosis; Michael O'donohue; Luc Fillaudeau; et al. (DCAI (1), 2024)

Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli. - Irene Martínez-Menéndez; Juan C. Acosta-Pavas; David Camilo Corrales; Susana María Alonso Villela; Balkiss Bouhaouala-Zahar; Georgios K. Georgakilas; Konstantinos Mexis; Stefanos Xenios; Theodore Dalamagas 001; Antonis Kokosis; Michael O'donohue; Luc Fillaudeau; et al. (DCAI (1), 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)

Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation. - Brett Metcalfe; Juan C. Acosta-Pavas; Carlos Eduardo Robles-Rodríguez; Georgios K. Georgakilas; Theodore Dalamagas 001; Cesar Arturo Aceves-Lara; Fayza Daboussi; Jasper J. Koehorst; David Camilo Corrales (Comput. Chem. Eng., 2025)