Edward Hinojosa Cárdenas
Orcid: 0000-0003-0307-7567
According to our database1,
Edward Hinojosa Cárdenas
authored at least 13 papers
between 2012 and 2023.
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Bibliography
2023
Proceedings of the International Symposium on Accreditation of Engineering and Computing Education, 2023
2021
Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function.
Proceedings of WILF 2021, 2021
CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust.
Proceedings of the Information Management and Big Data, 2021
2020
Towards the improvement of natural language requirements descriptions: the C&&L tool.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
2018
Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task.
Soft Comput., 2018
Una aplicación para dispositivos móviles basada en la gamificación para la educación en la preparación de desastres naturales (<i>An application for mobile devices based on gamification for education in the preparation of natural disasters</i>).
Proceedings of the II Congreso Internacional de Tendencias e Innovación Educativa, 2018
2017
A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017
2016
Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2014
A case study on Morphological Data from Eimeria of Domestic Fowl using a Multiobjective Genetic Algorithm and R&P for Learning and Tuning Fuzzy Rules for Classification.
Proceedings of the 1st Symposium on Information Management and Big Data, 2014
2013
Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy Classifiers.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning.
Proceedings of the FUZZ-IEEE 2012, 2012