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Now showing items 1-10 of 11
Application of unsupervised learning in the early detection of late blight in potato crops using image processingAplicación del aprendizaje no supervisado en la detección temprana del tizón tardío en cultivos de papa mediante procesamiento de imágenes
(Corporación Universidad de la CostaColombia, 2023)
Compression-based regularization with an application to multitask learning
(Institute of Electrical and Electronics Engineers, 2018-10)
This paper investigates, from information theoretic grounds, a learning problem based on the principle that any regularity in a given dataset can be exploited to extract compact features from data, i.e., using fewer bits ...
Unsupervised Human Activity Recognition Using the Clustering Approach: A Review
(Corporación Universidad de la Costa, 2020)
Autophagic induction Greatly Enhances Leishmania major intracellular survival compared to Leishmania amazonensis in CBA/j-infected macrophages
(Frontiers Research Foundation, 2018-08)
CBA mouse macrophages control Leishmania major infection yet are permissive to Leishmania amazonensis. Few studies have been conducted to assess the role played by autophagy in Leishmania infection. Therefore, we assessed ...
Human activity recognition data analysis: history, evolutions, and new trends
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
Association rules implementation for affinity analysis between elements composing multimedia objects
(Journal of Theoretical and Applied Information Technology, 2019)
Characterization of coffee production systems in Nariño, ColombiaCaracterización de los sistemas productivos de café en Nariño, Colombia
(Universidad de Ciencias Aplicadas y Ambientales U.D.C.A, 2016)
Sensor-based datasets for human activity recognition - a systematic review of literature
(Institute of Electrical and Electronics Engineers Inc., 2018)