Diego Riofrío-Luzcando

According to our database, Diego Riofrío-Luzcando authored at least 12 papers between 2012 and 2026.

Collaborative distances:

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

2026

Comparing automaton-based approach with machine learning models for predicting student errors in procedural training to support intelligent tutoring systems.

Diego Riofrío-Luzcando, Jaime Ramírez, Marta Berrocal-Lobo

Expert Syst. Appl., 2026

2025

Emotion classification using EEG headset signals and Random Forest.

Ricardo Vasquez, Diego Riofrío-Luzcando, Joe Carrión-Jumbo, Cesar Guevara

CoRR, December, 2025

A Computational Framework for Emotion-Sensitive Behavioral Metrics Using a Gamified Task.

Diego Riofrío-Luzcando, Miguel De Andrés, Victoria López, Matilde Santos, Diego Urgelés

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2025, 2025

2023

Prediction Value of a Real Estate in the City of Quito Post Pandemic.

Wladimir Vilca, Joe Carrión-Jumbo, Diego Riofrío-Luzcando, César Guevara

Proceedings of the Applied Informatics - 6th International Conference, 2023

2022

Detecting cyberbullying in Spanish texts through deep learning techniques.

Paúl Cumba-Armijos, Diego Riofrío-Luzcando, Verónica Rodríguez-Arboleda, Joe Carrión-Jumbo

Int. J. Data Min. Model. Manag., 2022

2019

Visualizing a collective student model for procedural training environments.

Diego Riofrío-Luzcando, Jaime Ramírez, Cristian Moral, Angélica de Antonio Jiménez, Marta Berrocal-Lobo

Multim. Tools Appl., 2019

2017

Propuesta de un Modelo de Comportamiento Colectivo de Estudiantes para un Sistema Inteligente de Tutoría dirigido al Entrenamiento Procedimental.

Diego Riofrío-Luzcando

PhD thesis, 2017

Predicting Student Actions in a Procedural Training Environment.

Diego Riofrío-Luzcando, Jaime Ramírez, Marta Berrocal-Lobo

IEEE Trans. Learn. Technol., 2017

A Cost-Effective Approach for Procedural Training in Virtual Worlds.

Mariano Rico, Jaime Ramírez, Diego Riofrío-Luzcando, Marta Berrocal-Lobo

J. Univers. Comput. Sci., 2017

2015

Student Action Prediction for Automatic Tutoring for Procedural Training in 3D Virtual Environments.

Diego Riofrío-Luzcando, Jaime Ramírez

Proceedings of the E-Learning, E-Education, and Online Training, 2015

A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training.

Diego Riofrío-Luzcando, Jaime Ramírez

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2012

An architecture for virtual labs in engineering education.

Mariano Rico, Jaime Ramírez, Diego Riofrío, Marta Berrocal-Lobo, Angélica de Antonio

Proceedings of the IEEE Global Engineering Education Conference, 2012