Jorge Parraga-Alava

According to our database, Jorge Parraga-Alava authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., March, 2024

2023

Predicting Academic Performance of Low-Income Students in Public Ecuadorian Online Universities: An Educational Data Mining Approach.

Jorge Rodas-Silva, Jorge Parraga-Alava

Proceedings of the 12th International Conference on Data Science, 2023

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

Opinion and Sentiment Analysis of Twitter Users during the 2021 Ecuador Presidential Election.

Jorge Parraga-Alava, Jorge Rodas-Silva, Iván Quimi, Roberth Alcivar Cevallos

Proceedings of the 17th International Conference on Web Information Systems and Technologies, 2021

Evaluation of LoRa Technology for Aquaculture Pool Monitoring.

Cristhian Alava-Troya, Jorge Parraga-Alava

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2021

2020

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

2019

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

Proceedings of the 38th International Conference of the Chilean Computer Science Society, 2019

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

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

Proceedings of the 37th International Conference of the Chilean Computer Science Society, 2018

2017

A Bi-Objective Clustering Algorithm for Gene Expression Data.

Jorge Parraga-Alava, Mario Inostroza-Ponta

CLEI Electron. J., 2017

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

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

A bi-objective model for gene clustering combining expression data and external biological knowledge.

Jorge Parraga-Alava, Mario Inostroza-Ponta

Proceedings of the XLII Latin American Computing Conference, 2016