David Camilo Corrales

28 papers B 1Journal 18Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accurate VLE Predictions via COSMO-RS-Guided Deep Learning Models: Solubility and Selectivity in Physical Solvent Systems for Carbon Capture. J. Chem. Inf. Model. Edoardo Parascandolo, Vincent Gerbaud, David Camilo Corrales, Noslen Hernández, Sophie Thiebaud-Roux, Ivonne Rodriguez-Donis
2025	J	`jnl`	Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation. Comput. Chem. Eng. Brett Metcalfe, Juan C. Acosta-Pavas, Carlos Eduardo Robles-Rodríguez, Georgios K. Georgakilas, Theodore Dalamagas, Cesar Arturo Aceves-Lara, Fayza Daboussi, Jasper J. Koehorst, David Camilo Corrales
2024	—	`conf`	A Soft Sensing Approach for Efficient Monitoring of Nanobody-Based Scorpion Antivenom Production. DCAI (1) 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, Antonis Kokosis, Michael O'donohue, Luc Fillaudeau, César Arturo Aceves-Lara
2024	—	`conf`	Comparison of Machine Learning-Enhanced Dynamic Hybrid Models for a Nanobody Scorpion Antivenom Production with Escherichia Coli. DCAI (1) 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, Antonis Kokosis, Michael O'donohue, Luc Fillaudeau, Nadia Boukhelifa, Alberto Tonda, César Arturo Aceves-Lara
2024	J	`jnl`	Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. Comput. Chem. Eng. Juan C. Acosta-Pavas, Carlos Eduardo Robles-Rodríguez, David Griol, Fayza Daboussi, Cesar Arturo Aceves-Lara, David Camilo Corrales
2023	J	`jnl`	A Qualitative Dataset for Coffee Bio-Aggressors Detection Based on the Ancestral Knowledge of the Cauca Coffee Farmers in Colombia. Data Juan Felipe Valencia-Mosquera, David Griol, Mayra Solarte-Montoya, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales
2023	—	`conf`	Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms. SOCO (1) Juan C. Acosta-Pavas, David Griol, Zoraida Callejas, David Camilo Corrales, Carlos Eduardo Robles-Rodríguez, Jérôme Morchain, César Arturo Aceves-Lara
2022	J	`jnl`	A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France. Comput. Electron. Agric. David Camilo Corrales, Céline Schoving, Hélène Raynal, Philippe P. Debaeke, Etienne-Pascal Journet, Julie Constantin
2022	J	`jnl`	RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust. Sensors Carlos Suarez, David Griol, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales
2022	J	`jnl`	Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. Evol. Syst. Edwar Javier Giron Buitron, David Camilo Corrales, María Paz Sesmero, José Antonio Iglesias, Juan Carlos Corrales
2020	J	`jnl`	A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks. Appl. Soft Comput. David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
2020	J	`jnl`	A computer vision system for automatic cherry beans detection on coffee trees. Pattern Recognit. Lett. Jhonn Pablo Rodríguez, David Camilo Corrales, Jean-Noël Aubertot, Juan Carlos Corrales
2020	J	`jnl`	Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches. Comput. Electron. Agric. Emmanuel Lasso, David Camilo Corrales, Jacques Avelino, Elias de Melo Virginio Filho, Juan Carlos Corrales
2019	J	`jnl`	Rule-based expert system for detection of coffee rust warnings in colombian crops. J. Intell. Fuzzy Syst. Edwar Javier Giron Buitron, David Camilo Corrales, Jacques Avelino, José Antonio Iglesias, Juan Carlos Corrales
2018	J	`jnl`	A Process for Increasing the Samples of Coffee Rust Through Machine Learning Methods. Int. J. Agric. Environ. Inf. Syst. Jhonn Pablo Rodríguez, David Camilo Corrales, Juan Carlos Corrales
2018	J	`jnl`	Feature selection for classification tasks: Expert knowledge or traditional methods? J. Intell. Fuzzy Syst. David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
2018	J	`jnl`	From Theory to Practice: A Data Quality Framework for Classification Tasks. Symmetry David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
2018	J	`jnl`	How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning. Symmetry David Camilo Corrales, Juan Carlos Corrales, Agapito Ledezma
2018	—	`conf`	Volcanic Anomalies Detection Through Recursive Density Estimation. MICAI (1) Jose Eduardo Gomez, David Camilo Corrales, Emmanuel Lasso, José Antonio Iglesias, Juan Carlos Corrales
2017	—	`conf`	Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series? ICCSA (2) David Camilo Corrales, Germán Gutiérrez, Jhonn Pablo Rodríguez, Agapito Ledezma, Juan Carlos Corrales
2017	—	`conf`	Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. EAIS Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias
2017	J	`jnl`	Water quality detection based on a data mining process on the California estuary. Int. J. Bus. Intell. Data Min. Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
2016	—	`conf`	Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin. ICCSA (4) Edwin Ferney Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales
2016	B	`conf`	Sequential classifiers for network intrusion detection based on data selection process. SMC David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma
2016	J	`jnl`	Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops. Int. J. Agric. Environ. Inf. Syst. David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales
2016	—	`conf`	Validation of Coffee Rust Warnings Based on Complex Event Processing. ICCSA (4) Julián Eduardo Plazas, Juan Sebastián Rojas, David Camilo Corrales, Juan Carlos Corrales
2015	J	`jnl`	A Conceptual Framework for Data Quality in Knowledge Discovery Tasks (FDQ-KDT): A Proposal. J. Comput. David Camilo Corrales, Agapito Ledezma, Juan Carlos Corrales
2015	—	`conf`	An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops. ICCSA (1) David Camilo Corrales, Apolinar Figueroa, Agapito Ledezma, Juan Carlos Corrales