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ORCIDEdward Hinojosa Cárdenas
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2020 – today
- 2023
[c12]Edward Hinojosa Cárdenas, Carlos E. Atencio-Torres:
A Syllabus on Bio-Inspired Computing with Student Outcomes Evaluation. ICACIT 2023: 1-6- 2021
- [c11]Filomen Incahuanaco-Quispe
, Edward Hinojosa Cárdenas, Denis A. Pilares-Figueroa, César Armando Beltrán Castañón:
CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust. SIMBig 2021: 340-355 - [c10]Edward Hinojosa Cárdenas, Edgar Sarmiento-Calisaya, Heloisa A. Camargo, José Antonio Sanz:
Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function. WILF 2021 - 2020
- [c9]Edward Hinojosa Cárdenas, Edgar Sarmiento-Calisaya, Heloisa de Arruda Camargo:
Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach. FUZZ-IEEE 2020: 1-8 - [c8]Edgar Sarmiento-Calisaya, Edward Hinojosa Cárdenas, Víctor Manuel Cornejo Aparicio, Guina Sotomayor Alzamora:
Towards the improvement of natural language requirements descriptions: the C&&L tool. SAC 2020: 1405-1413
2010 – 2019
- 2018
- [j1]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task. Soft Comput. 22(15): 5021-5031 (2018) - [c7]Rosa Y. G. Paccotacya Yanque, Edward Hinojosa Cárdenas, Hugo Cesar Rucano Alvarez, Diego Alonso Iquira Bacerra, Roni G. Apaza Aceituno, Israel S. Pancca Mamani, R. Sanchez Yanque, Celso Efrain Noël Diaz Ventura:
Una aplicación para dispositivos móviles basada en la gamificación para la educación en la preparación de desastres naturales (An application for mobile devices based on gamification for education in the preparation of natural disasters). CITIE 2018: 70-78 - 2017
- [c6]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System. EUSFLAT/IWIFSGN (1) 2017: 389-399 - 2016
- [c5]Edward Hinojosa Cárdenas, Heloisa A. Camargo, Yván J. Túpac:
Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition. FUZZ-IEEE 2016: 1445-1452 - 2014
- [c4]Edward Hinojosa Cárdenas, César Beltrán Castañón:
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. SIMBig 2014: 53-57 - 2013
- [c3]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule. IFSA/NAFIPS 2013: 292-297 - 2012
- [c2]Edward Hinojosa Cárdenas, Heloisa A. Camargo:
Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning. FUZZ-IEEE 2012: 1-8 - [c1]Edward Hinojosa Cárdenas, Heloisa A. Carmago:
Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy Classifiers. SBRN 2012: 154-159
Coauthor Index
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