Search Results (All Fields:"learning", Author:"Castillo Cara, Manuel")

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Carrillo Larco, Rodrigo M. y Castillo Cara, Manuel . (2020) Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach.  3.95 38 11
Vasquez Espinoza, Luis, Castillo Cara, Manuel y Orozco Barbosa, Luis . (2021) On the relevance of the metadata used in the semantic segmentation of indoor image spaces.  3.29 23 7
Lovón Melgarejo, Jesús, Castillo Cara, Manuel, Huarcaya Canal, Oscar, Orozco Barbos, Luis y García Varea, Ismael . (2019) Comparative Study of Supervised Learning and Metaheuristic Algorithms for the Development of Bluetooth-Based Indoor Localization Mechanisms.  2.72 45 14
Talla Chumpitaz, Reewos, Castillo Cara, Manuel, Orozco Barbosa, Luis y García Castro, Raúl . (2022) A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation.  2.71 35 9
Guzman Vilca, Wilmer Cristobal, Castillo Cara, Manuel y Carrillo Larco, Rodrigo M . (2022) Development, validation, and application of a machine learning model to estimate salt consumption in 54 countries.  2.70 27 20
Carrillo Larco, Rodrigo M, Castillo Cara, Manuel, Anza Ramirez , Cecilia y Bernabé Ortiz, Antonio . (2021) Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the Caribbean.  2.70 30 6
Castillo Cara, Manuel, Lovón Melgarejo. Jesús, Bravo Rocca, Gusseppe, Orozco Barbosa, Luis y García Varea, Ismael . (2017) An Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanism.  2.68 47 11
Castillo Cara, José Manuel, Talla-Chumpitaz, Reewos, García-Castro, Raúl y Orozco Barbosa, Luis . (2023) TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks.  2.62 36 28
Carrillo Larco, Rodrigo M, Castillo Cara, Manuel y Hernández Santa Cruz , Jose Francisco . (2022) Street images classification according to COVID-19 risk in Lima, Peru: a convolutional neural networks feasibility analysis.  2.62 29 8
Carrillo-Larco, Rodrigo M, Guzman Vilca, Wilmer Cristobal, Castillo Cara, Manuel, Alvizuri Gómez, Claudia, Alqahtani, Saleh y Garcia Larsen, Vanessa . (2022) Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES III.  2.37 28 6