Remigio Hurtado

According to our database, Remigio Hurtado authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques.

John Sanmartín, Paulina Azuero, Remigio Hurtado

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Intelligent System and Framework for Integrating Machine Learning with Software Development for Predictive Banking Logistics.

Remigio Hurtado, Eduardo Ayora

Proceedings of the Computational Logistics - 15th International Conference, 2024

2023

Machine Learning Models Applied in Sign Language Recognition.

Esteban Gustavo Quinde Novillo, Juan Pablo Torres Saldaña, Michael Andres Valdez Alvarez, John Santiago Leon Llivicota, Remigio Ismael Ortiz Hurtado

Proceedings of the Pattern Recognition - 15th Mexican Conference, 2023

An Architecture and a New Deep Learning Method for Head and Neck Cancer Prognosis by Analyzing Serial Positron Emission Tomography Images.

Remigio Hurtado, Stefanía Guzmán, Arantxa Muñoz

Proceedings of the Cloud Computing, Big Data & Emerging Topics - 11th Conference, 2023

2020

Recomendación a grupos de usuarios usando el concepto de singularidades.

Remigio Hurtado

PhD thesis, 2020

A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups.

Jesús Bobadilla, Abraham Gutiérrez, Santiago Alonso, Remigio Hurtado

Int. J. Interact. Multim. Artif. Intell., 2020

2019

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

Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque, Fernando Ortega, Xin Li

IEEE Access, 2019

2018

An Efficient Recommender System Method Based on the Numerical Relevances and the Non-Numerical Structures of the Ratings.

Bo Zhu, Remigio Hurtado, Jesús Bobadilla, Fernando Ortega

IEEE Access, 2018

Recommendation to Groups of Users Using the Singularities Concept.

Fernando Ortega, Remigio Hurtado, Jesús Bobadilla, Rodolfo Bojorque

IEEE Access, 2018

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems.

Fernando Ortega, Jesús Bobadilla, Abraham Gutiérrez, Remigio Hurtado, Xin Li

IEEE Access, 2018

Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization.

Jesús Bobadilla, Rodolfo Bojorque, Antonio Hernando, Remigio Hurtado

IEEE Access, 2018