Remigio Ismael Hurtado Ortiz

Emailrhurtadooups.eduec

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1 Finished

Provide Ups with Prediction and Recommendation Models that Facilitate Academic Management through the Incorporation of Machine Learning Techniques to the Institutional Database
Bojorque Chasi, R. X. & Hurtado Ortiz, R. I.
27/07/17 → 27/07/19
Project: Research and Development

8 Conference contribution
6 Article

A Collaborative Filtering Probabilistic Approach for Recommendation to Large Homogeneous and Automatically Detected Groups
Hurtado Ortiz, R. I., Bobadilla, J., Gutierrez, A. & Alonso, S., 30 Jun 2020, In: International Journal of Interactive Multimedia and Artificial Intelligence. 6, 2, p. 90-100
Research output: Contribution to journal › Article
Analysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest
Ortiz, R. I. H., Barrera, J. C. B. & Barrera, K. M. B., 4 Nov 2020, 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020. Institute of Electrical and Electronics Engineers Inc., 9258765. (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2 Scopus citations
A new approach for Pneumonia diagnosis using Convolutional Neural Networks
Alvarado, L., Illaisaca, P. & Hurtado, R., 4 Nov 2020, 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020. Institute of Electrical and Electronics Engineers Inc., 9258749. (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Subgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis
Pena, C., Peralta, F. & Hurtado, R., 4 Nov 2020, 2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020. Institute of Electrical and Electronics Engineers Inc., 9258683. (2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2 Scopus citations
A comparative analysis of similarity metrics on sparse data for clustering in recommender systems
Bojorque, R., Hurtado, R. & Inga, A., 1 Jan 2019, A comparative analysis of similarity metrics on sparse data for clustering in recommender systems. Ahram, T. Z. (ed.). p. 291-299 9 p. (Advances in Intelligent Systems and Computing; vol. 787).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Scopus citations

Remigio Ismael Hurtado Ortiz

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Projects

Provide Ups with Prediction and Recommendation Models that Facilitate Academic Management through the Incorporation of Machine Learning Techniques to the Institutional Database

Research output

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

Analysis model of the most important factors in Covid-19 through data mining, descriptive statistics and random forest

A new approach for Pneumonia diagnosis using Convolutional Neural Networks

Subgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis

A comparative analysis of similarity metrics on sparse data for clustering in recommender systems