Jorge Parraga-Alava

15 papers B 2C 3Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 B conf
Enhanced Helmet Detection using a CNN and Genetic Algorithm for Personal Protective Equipment Compliance.
SMC
Jorge Rodas-Silva, Jorge Parraga-Alava
2025 J jnl
Factors, Prediction, Explainability, and Simulating University Dropout Through Machine Learning: A Systematic Review, 2012-2024.
Comput.
Mauricio Quimiz-Moreira, Rosa Delgadillo, Jorge Parraga-Alava, Nelson Maculan, David Mauricio
2024 J jnl
An effective approach for identifying keywords as high-quality filters to get emergency-implicated Twitter Spanish data.
Comput. Speech Lang.
Joel Garcia-Arteaga, Jesús Zambrano-Zambrano, Jorge Parraga-Alava, Jorge Rodas-Silva
2024 — conf
Predicting Solar Radiation in Manabí: A Machine Learning Approach.
ARTIIS (2)
Daniel Arteaga-Subiaga, Jorge Parraga-Alava, Lucía Rivadeneira
2023 C conf
Predicting Academic Performance of Low-Income Students in Public Ecuadorian Online Universities: An Educational Data Mining Approach.
DATA
Jorge Rodas-Silva, Jorge Parraga-Alava
2021 — conf
Evaluation of LoRa Technology for Aquaculture Pool Monitoring.
ARTIIS
Cristhian Alava-Troya, Jorge Parraga-Alava
2021 J jnl
LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves.
Data
Jorge Parraga-Alava, Roberth Alcivar Cevallos, Jéssica Morales Carrillo, Magdalena Castro, Shabely Avellán, Aaron Loor, Fernando Mendoza
2021 C conf
Opinion and Sentiment Analysis of Twitter Users during the 2021 Ecuador Presidential Election.
WEBIST
Jorge Parraga-Alava, Jorge Rodas-Silva, Iván Quimi, Roberth Alcivar Cevallos
2020 J jnl
Influence of the go-based semantic similarity measures in multi-objective gene clustering algorithm performance.
J. Bioinform. Comput. Biol.
Jorge Parraga-Alava, Mario Inostroza-Ponta
2019 — conf
An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media.
SCCC
Jorge Parraga-Alava, Roberto Acuña Caicedo, José Manuel Gómez, Mario Inostroza-Ponta
2018 J jnl
A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies.
BioData Min.
Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
2018 — conf
Unsupervised Pattern Recognition for Geographical Clustering of Seismic Events Post MW 7.8 Ecuador Earthquake.
SCCC
Jorge Parraga-Alava, Gustavo Molina Garzon, Roberth Alcivar Cevallos, Mario Inostroza-Ponta
2017 J jnl
A Bi-Objective Clustering Algorithm for Gene Expression Data.
CLEI Electron. J.
Jorge Parraga-Alava, Mario Inostroza-Ponta
2017 B conf
Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem.
CEC
Jorge Parraga-Alava, Márcio Dorn, Mario Inostroza-Ponta
2016 C conf
A bi-objective model for gene clustering combining expression data and external biological knowledge.
CLEI
Jorge Parraga-Alava, Mario Inostroza-Ponta