Multiobjective genetic generation of fuzzy classifiers using the iterative rule learning. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (FUZZ-IEEE, 2012)

Multiobjective Genetic Optimization of Fuzzy Partitions and T-Norm Parameters in Fuzzy Classifiers. - Edward Hinojosa Cárdenas; Heloisa A. Carmago (SBRN, 2012)

Multi-objective iterative genetic approach for learning fuzzy classification rules with semantic-based selection of the best rule. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (IFSA/NAFIPS, 2013)

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. - Edward Hinojosa Cárdenas; César Beltrán Castañón (SIMBig, 2014)

Generación genética multiobjetivo de bases de conocimiento Fuzzi para clasificación en bases de datos no balanceados usando el enfoque iteractivo. - Edward Hinojosa Cárdenas (2015)

Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition. - Edward Hinojosa Cárdenas; Heloisa A. Camargo; Yván J. Túpac (FUZZ-IEEE, 2016)

A Multi-objective Evolutionary Algorithm for Tuning Type-2 Fuzzy Sets with Rule and Condition Selection on Fuzzy Rule-Based Classification System. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (EUSFLAT/IWIFSGN (1), 2017)

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). - 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 (CITIE, 2018)

Multi-objective evolutionary algorithm for tuning the Type-2 inference engine on classification task. - Edward Hinojosa Cárdenas; Heloisa A. Camargo (Soft Comput., 2018)

Genetic learning of fuzzy rule bases for multi-label classification using an iterative approach. - Edward Hinojosa Cárdenas; Edgar Sarmiento-Calisaya; Heloisa de Arruda Camargo (FUZZ-IEEE, 2020)

Towards the improvement of natural language requirements descriptions: the C&&L tool. - Edgar Sarmiento-Calisaya; Edward Hinojosa Cárdenas; Víctor Manuel Cornejo Aparicio; Guina Sotomayor Alzamora (SAC, 2020)

CoffeeSE: Interpretable Transfer Learning Method for Estimating the Severity of Coffee Rust. - Filomen Incahuanaco-Quispe; Edward Hinojosa Cárdenas; Denis A. Pilares-Figueroa; César Armando Beltrán Castañón (SIMBig, 2021)

Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function. - Edward Hinojosa Cárdenas; Edgar Sarmiento-Calisaya; Heloisa A. Camargo; José Antonio Sanz 001 (WILF, 2021)

A Syllabus on Bio-Inspired Computing with Student Outcomes Evaluation. - Edward Hinojosa Cárdenas; Carlos E. Atencio-Torres (ICACIT, 2023)