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)

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 Persuasive System for Stress Detection and Management in an Educational Environment. - Pablo C. Calcina-Ccori; Eduardo S. Rodriguez-Canales; Edgar Sarmiento-Calisaya (GIOTS, 2022)

An Emotion-Aware Persuasive Architecture to Support Challenging Classroom Situations. - Edgar Sarmiento-Calisaya; Pablo C. Calcina-Ccori; Álvaro E. Cuno Parari (ICCE, 2022)

Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco). - Renzo Bolivar; Edgar Sarmiento-Calisaya; Guina Sotomayor Alzamora (SIMBig, 2022)

Introducing Computer Science Undergraduate Students to DevOps Technologies from Software Engineering Fundamentals. - Edgar Sarmiento-Calisaya; Alvaro H. Mamani-Aliaga; Julio César Sampaio do Prado Leite (SEET@ICSE, 2024)

Early analysis of requirements using NLP and Petri-nets. - Edgar Sarmiento-Calisaya; Julio César Sampaio do Prado Leite (J. Syst. Softw., 2024)