Rodolfo Bojorque

Orcid: 0000-0002-6045-8692

Affiliations:
  • Salesian Polytechnic University, Research Group on Artificial Intelligence and Assistance Technologies (GIIATA), Cuenca, Ecuador
  • Technical University of Madrid, Spain (PhD 2020)


According to our database1, Rodolfo Bojorque authored at least 12 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Comparative Study of Unsupervised Machine Learning and Deep Learning Techniques for Anomaly Detection in Recommender Systems.
Inf., 2026

2025
Stress Factors in Higher Education: A Data Analysis Case.
Data, 2025

A Data-Driven Analysis of Cognitive Learning and Illusion Effects in University Mathematics.
Data, 2025

Matrix Factorization-Based Clustering for Sparse Data in Recommender Systems: A Comparative Study.
Comput., 2025

A Deterministic Comparison of Classical Machine Learning and Hybrid Deep Representation Models for Intrusion Detection on NSL-KDD and CICIDS2017.
Algorithms, 2025

Understanding Code Smell Detection Through Hyperparameter Optimization and Metric Correlation Analysis.
IEEE Access, 2025

2020
Clustering de sistemas de recomendación mediante técnicas de factorization matricial.
PhD thesis, 2020

2019
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study.
IEEE Access, 2019

Academic Quality Management System Audit Using Artificial Intelligence Techniques.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019

Random Samplings Using Metropolis Hastings Algorithm.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019

2018
Recommendation to Groups of Users Using the Singularities Concept.
IEEE Access, 2018

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization.
IEEE Access, 2018


  Loading...