A bi-objective model for gene clustering combining expression data and external biological knowledge. - Jorge Parraga-Alava; Mario Inostroza-Ponta (CLEI, 2016)

Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. - Jorge Parraga-Alava; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2017)

A Bi-Objective Clustering Algorithm for Gene Expression Data. - Jorge Parraga-Alava; Mario Inostroza-Ponta (CLEI Electron. J., 2017)

Unsupervised Pattern Recognition for Geographical Clustering of Seismic Events Post MW 7.8 Ecuador Earthquake. - Jorge Parraga-Alava; Gustavo Molina Garzon; Roberth Alcivar Cevallos; Mario Inostroza-Ponta (SCCC, 2018)

A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. - Jorge Parraga-Alava; Márcio Dorn; Mario Inostroza-Ponta (BioData Min., 2018)

An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media. - Jorge Parraga-Alava; Roberto Acuña Caicedo; José Manuel Gómez; Mario Inostroza-Ponta (SCCC, 2019)

Influence of the go-based semantic similarity measures in multi-objective gene clustering algorithm performance. - Jorge Parraga-Alava; Mario Inostroza-Ponta (J. Bioinform. Comput. Biol., 2020)

Evaluation of LoRa Technology for Aquaculture Pool Monitoring. - Cristhian Alava-Troya; Jorge Parraga-Alava (ARTIIS, 2021)

Opinion and Sentiment Analysis of Twitter Users during the 2021 Ecuador Presidential Election. - Jorge Parraga-Alava; Jorge Rodas-Silva; Iván Quimi; Roberth Alcivar Cevallos (WEBIST, 2021)

LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves. - Jorge Parraga-Alava; Roberth Alcivar Cevallos; Jéssica Morales Carrillo; Magdalena Castro; Shabely Avellán; Aaron Loor; Fernando Mendoza (Data, 2021)

Predicting Academic Performance of Low-Income Students in Public Ecuadorian Online Universities: An Educational Data Mining Approach. - Jorge Rodas-Silva; Jorge Parraga-Alava (DATA, 2023)

Predicting Solar Radiation in Manabí: A Machine Learning Approach. - Daniel Arteaga-Subiaga; Jorge Parraga-Alava; Lucía Rivadeneira (ARTIIS (2), 2024)

An effective approach for identifying keywords as high-quality filters to get emergency-implicated Twitter Spanish data. - Joel Garcia-Arteaga; Jesús Zambrano-Zambrano; Jorge Parraga-Alava; Jorge Rodas-Silva (Comput. Speech Lang., 2024)