Projects per year
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Dive into the research topics where Rodolfo Xavier Bojorque Chasi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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Provide UPS Prediction And Recommendation Models That Facilitate Academic Management By Incorporating Machine Learning Techniques Into The Institutional Database
Bojorque Chasi, R. X. & Hurtado Ortiz, R. I.
27/07/17 → 31/12/18
Project: Research and Development
Research output
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Academic Quality Management System Audit Using Artificial Intelligence Techniques
Bojorque, R. & Pesántez-Avilés, F., 1 Jan 2020, Academic Quality Management System Audit Using Artificial Intelligence Techniques. Ahram, T. (ed.). p. 275-283 9 p. (Advances in Intelligent Systems and Computing; vol. 965).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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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
2 Scopus citations -
Analysis of scientific production based on trending research topics. An Artificial Intelligence case study
Bobadilla, J., Gutiérrez, A., Patricio, M. Á. & Bojorque, R. X., 1 Jan 2019, In: Revista Espanola de Documentacion Cientifica. 42, 1, e228.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
A new recommendation approach based on probabilistic soft clustering methods: A scientific documentation case study
Hurtado, R., Bobadilla, J., Bojorque, R., Ortega, F. & Li, X., 1 Jan 2019, In: IEEE Access. 7, p. 7522-7534 13 p., 8594540.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities
Ortiz, R. H., Chasi, R. B. & Chalco, C. I., 1 Jan 2019, Clustering-based recommender system: Bundle recommendation using matrix factorization to single user and user communities. Ahram, T. Z. (ed.). p. 330-338 9 p. (Advances in Intelligent Systems and Computing; vol. 787).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution