David Camilo Corrales

Orcid: 0000-0003-4717-3040

According to our database1, David Camilo Corrales authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations.
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.
Data, 2023

Fault Detection in Biological Methanation Process Using Machine Learning: A Comparative Study of Different Algorithms.
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.
Sensors, 2022

Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling.
Evol. Syst., 2022

A surrogate model based on feature selection techniques and regression learners to improve soybean yield prediction in southern France.
Comput. Electron. Agric., 2022

2020
A computer vision system for automatic cherry beans detection on coffee trees.
Pattern Recognit. Lett., 2020

Discovering weather periods and crop properties favorable for coffee rust incidence from feature selection approaches.
Comput. Electron. Agric., 2020

A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks.
Appl. Soft Comput., 2020

2019
Rule-based expert system for detection of coffee rust warnings in colombian crops.
J. Intell. Fuzzy Syst., 2019

2018
From Theory to Practice: A Data Quality Framework for Classification Tasks.
Symmetry, 2018

How to Address the Data Quality Issues in Regression Models: A Guided Process for Data Cleaning.
Symmetry, 2018

Feature selection for classification tasks: Expert knowledge or traditional methods?
J. Intell. Fuzzy Syst., 2018

A Process for Increasing the Samples of Coffee Rust Through Machine Learning Methods.
Int. J. Agric. Environ. Inf. Syst., 2018

Volcanic Anomalies Detection Through Recursive Density Estimation.
Proceedings of the Advances in Soft Computing, 2018

2017
Water quality detection based on a data mining process on the California estuary.
Int. J. Bus. Intell. Data Min., 2017

Lack of Data: Is It Enough Estimating the Coffee Rust with Meteorological Time Series?
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016
Two-Level Classifier Ensembles for Coffee Rust Estimation in Colombian Crops.
Int. J. Agric. Environ. Inf. Syst., 2016

Sequential classifiers for network intrusion detection based on data selection process.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Validation of Coffee Rust Warnings Based on Complex Event Processing.
Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016

Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin.
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.
J. Comput., 2015

An Empirical Multi-classifier for Coffee Rust Detection in Colombian Crops.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015


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