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ORCIDRemigio Hurtado
Person information
- affiliation: Politecnica Salesiana University, Department of Computer Science, Cuenca, Ecuador
- affiliation (PhD 2020): Technical University of Madrid, Computer Science and Technology for Smart Cities (ETSISI), Spain
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2020 – today
- 2026
[j8]Rodolfo Bojorque
, Remigio Hurtado, Miguel Arcos-Argudo, Mauricio Ortiz:
A Comparative Study of Unsupervised Machine Learning and Deep Learning Techniques for Anomaly Detection in Recommender Systems. Inf. 17(5): 426 (2026)- 2025
- [j7]Rodolfo Bojorque, Remigio Hurtado:
Matrix Factorization-Based Clustering for Sparse Data in Recommender Systems: A Comparative Study. Comput. 13(9): 213 (2025) - [c6]Remigio Hurtado, Diego Tapia, Leonardo Crespo, Carlos Saico:
A Systematic Machine Learning Approach for Brain Tumor Classification Through Synthetic Control Data Generation to Prevent Bias and Ensure Fairness in Predictive Models Using MRI Imaging. CIARP (2) 2025: 171-182 - 2024
- [c5]Remigio Hurtado, Eduardo Ayora:
Intelligent System and Framework for Integrating Machine Learning with Software Development for Predictive Banking Logistics. ICCL 2024: 49-61 - [c4]John Sanmartín, Paulina Azuero, Remigio Hurtado:
New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques. IDEAL (2) 2024: 35-45 - 2023
- [c3]Adolfo Jara-Gavilanes, Remigio Hurtado-Ortiz, Stefanía Guzmán:
Lung Cancer Detection Using Positron Emission Tomography Images Through Convolutional and Recurrent Neural Networks. CLEI 2023: 1-7 - [c2]Remigio Hurtado, Stefanía Guzmán, Arantxa Muñoz:
An Architecture and a New Deep Learning Method for Head and Neck Cancer Prognosis by Analyzing Serial Positron Emission Tomography Images. JCC-BD&ET 2023: 129-140 - [c1]Esteban Gustavo Quinde Novillo, Juan Pablo Torres Saldaña, Michael Andres Valdez Alvarez, John Santiago Leon Llivicota, Remigio Ismael Hurtado Ortiz:
Machine Learning Models Applied in Sign Language Recognition. MCPR 2023: 263-272 - 2020
- [b1]Remigio Hurtado:
Recomendación a grupos de usuarios usando el concepto de singularidades. Technical University of Madrid, Spain, 2020 - [j6]Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado:
A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups. Int. J. Interact. Multim. Artif. Intell. 6(2): 1-11 (2020)
2010 – 2019
- 2019
- [j5]Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li:
A New Recommendation Approach Based on Probabilistic Soft Clustering Methods: A Scientific Documentation Case Study. IEEE Access 7: 7522-7534 (2019) - 2018
- [j4]Jesús Bobadilla, Rodolfo Bojorque, Antonio Hernando, Remigio Hurtado:
Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization. IEEE Access 6: 3549-3564 (2018) - [j3]Fernando Ortega, Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque:
Recommendation to Groups of Users Using the Singularities Concept. IEEE Access 6: 39745-39761 (2018) - [j2]Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li:
Artificial Intelligence Scientific Documentation Dataset for Recommender Systems. IEEE Access 6: 48543-48555 (2018) - [j1]Bo Zhu, Remigio Hurtado, Jesús Bobadilla, Fernando Ortega:
An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings. IEEE Access 6: 49935-49954 (2018)
Coauthor Index
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last updated on 2026-06-06 02:11 CEST by the dblp team
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