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Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records
(SPRINGERNEW YORK, 2012)
Surveillance Levels (SLs) are categories for medical patients (used in Brazil) that represent different types of medical recommendations. SLs are defined according to risk factors and the medical and developmental history ...
Network-based high level data classification
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCPISCATAWAY, 2012)
Traditional supervised data classification considers only physical features (e. g., distance or similarity) of the input data. Here, this type of learning is called low level classification. On the other hand, the human ...
Flying insect classification with inexpensive sensors
(Springer/Plenum PublishersNew York, 2014-09)
The ability to use inexpensive, noninvasive sensors to accurately classify flying insects would have significant implications for entomological research, and allow for the development of many useful applications in vector ...
Modelo predictivo basado en Machine Learning para el pronóstico de deserción a la vacunación contra el virus del papiloma humano (VPH)
(Universidad Peruana UniónPEPE, 2021-02-22)
En la actualidad, una de las enfermedades que está causando gran cantidad de muertes en Perú, es el cáncer de cuello uterino ocasionado por el virus del papiloma humano (VPH), sin embargo, gracias a la aplicación de la ...
Seleção de atributos em comitês de classificadores utilizando algoritmos genéticos
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2010-10-14)
Classifier ensembles are systems composed of a set of individual classifiers and a
combination module, which is responsible for providing the final output of the system.
In the design of these systems, diversity is considered ...
Wear Particle Classifier System Based on an Artificial Neural Network
(Assoc Mechanical Engineers Technicians Slovenia, 2014)
SELEÇÃO DE ATRIBUTOS EM IMAGENS COLETADAS SOB CONDIÇÕES DE ILUMINAÇÃO NÃO CONTROLADA E SUA INFLUÊNCIA NO DESEMPENHO DE CLASSIFICADORES NAIVE BAYES PARA IDENTIFICAÇÃO DE OBJETOS EM ESTUFAS AGRÍCOLAS
(UNIVERSIDADE ESTADUAL DE PONTA GROSSABRComputação para Tecnologias em AgriculturaPrograma de Pós Graduação Computação AplicadaUEPG, 2017)
Stability assessment of underground mine stopes subjected to stress relaxation
(Taylor & Francis, 2020)
Stress relaxation plays an important role in the design of underground stopes. The aim of this paper is to assess the stope stability in connection with the stress relaxation using a classification approach. Three types ...