关注
Remigio Hurtado (ORCID: 0000-0001-7472-9417)
Remigio Hurtado (ORCID: 0000-0001-7472-9417)
其他姓名Remigio Hurtado Ortiz, Hurtado Remigio, Remigio Ismael Hurtado Ortiz
Grupo de Investigación de Inteligencia Artificial y Tecnologías de Asistencia. Cuenca. ECUADOR
在 ups.edu.ec 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Recommender systems clustering using Bayesian non negative matrix factorization
J Bobadilla, R Bojorque, AH Esteban, R Hurtado
IEEE Access 6, 3549-3564, 2017
792017
An efficient recommender system method based on the numerical relevances and the non-numerical structures of the ratings
B Zhu, R Hurtado, J Bobadilla, F Ortega
IEEE Access 6, 49935-49954, 2018
382018
Artificial intelligence scientific documentation dataset for recommender systems
F Ortega, J Bobadilla, A Gutiérrez, R Hurtado, X Li
IEEE access 6, 48543-48555, 2018
302018
Recommendation to groups of users using the singularities concept
F Ortega, R Hurtado, J Bobadilla, R Bojorque
IEEE Access 6, 39745-39761, 2018
152018
A collaborative filtering probabilistic approach for recommendation to large homogeneous and automatically detected groups
J Bobadilla, A Gutiérrez, S Alonso, R Hurtado
International Journal of Interactive Multimedia and Artificial Intelligence …, 2020
122020
A new recommendation approach based on probabilistic soft clustering methods: A scientific documentation case study
R Hurtado, J Bobadilla, R Bojorque, F Ortega, X Li
IEEE Access 7, 7522-7534, 2018
102018
Clustering-Based Recommender System: Bundle Recommendation Using Matrix Factorization to Single User and User Communities
RH Ortiz, RB Chasi, CI Chalco
AHFE 2018 International Conference on Human Factors in Artificial …, 2018
92018
Data Analysis Architecture using Techniques of Machine Learning for the Prediction of the Quality of Blood Fonations against the Hepatitis C Virus
P Idrovo-Berrezueta, D Dutan-Sanchez, R Hurtado-Ortiz, ...
2022 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2022
72022
Analysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest
RIH Ortiz, JCB Barrera, KMB Barrera
2020 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2020
72020
Recomendación a grupos de usuarios usando el concepto de singularidades
RI Hurtado Ortiz
ETSI_Sistemas_Infor, 2020
7*2020
A comparative analysis of similarity metrics on sparse data for clustering in recommender systems
R Bojorque, R Hurtado, A Inga
AHFE 2018 International Conference on Human Factors in Artificial …, 2018
72018
Hierarchical Clustering for Collaborative Filtering Recommender Systems
CI Chalco, RB Chasi, RH Ortiz
AHFE 2018 International Conference on Human Factors in Artificial …, 2018
62018
A new approach hybrid recommender system of item bundles for group of users
BDV Moreno, RIH Ortiz, DAM Rivera
2019 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2019
52019
Técnicas híbridas en sistemas de recomendación para optimizar el modelo non negative matrix factorization
B Chasi, R Xavier, RIH Ortiz
PFM. ETSI_Sistemas_Infor. URL: http://oa. upm. es/48249, 2017
5*2017
An Architecture and a New Deep Learning Method for Head and Neck Cancer Prognosis by Analyzing Serial Positron Emission Tomography Images
R Hurtado, S Guzmán, A Muñoz
Conference on Cloud Computing, Big Data & Emerging Topics, 129-140, 2023
42023
Subgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis
C Peña, F Peralta, R Hurtado
2020 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2020
42020
A new way of finding better neighbors in recommendation systems based on collaborative filtering
RIH Ortiz, DAM García, ASE Mancheno
2019 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2019
32019
An analysis method for predicting breast cancer using data science processes and machine learning
JJC Calle, JXF Villa, RIH Ortiz
2022 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2022
12022
A data analytics method based on data science and machine learning for bank risk prediction in credit applications for financial institutions
RH Ortiz, ES Jara, JH Ortiz, JM Panjón
2022 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2022
12022
A new approach for Pneumonia diagnosis using Convolutional Neural Networks
L Alvarado, P Illaisaca, R Hurtado
2020 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2020
12020
系统目前无法执行此操作,请稍后再试。
文章 1–20