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Uso de aprendizado de máquina supervisionado para mensurar provisão no mercado de crédito estruturado: uma comparação entre modelos
(Universidade Federal de São Carlos, 2023-03-27)
The credit expansion has been fundamental to global economic growth, allowing people and businesses to access more financial resources for investment and consumption within an increasingly complex and competitive economic ...
Análise comparativa entre técnicas de aprendizado de máquina aplicadas para a predição de preços de produtos hortifrutícolas
(Universidade Federal de São Carlos, 2023-08-29)
Family farming is characterized as any form of land cultivation managed by a family, employing its own members as the main labor force. Most agricultural establishments in Brazil fit this definition, however, the area ...
Investigação de métodos de seleção de atributos para problemas de classificação hierárquica multirrótulo
(Universidade Federal de São Carlos, 2023-04-06)
Classification is the task of assigning data instances to classes. In Hierarchical Multi- label Classification, instances may belong to two or more classes (labels) simultaneously, where the classes are hierarchically ...
Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições
(Universidade Federal de São Carlos, 2023-03-17)
In this undergraduate thesis, we propose a review of the Naive Bayes classifcation
method applied to binary response variables, with a more in-depth formalization of the
Gaussian Naive Bayes and Flexible Naive Bayes ...
Análise e aplicações do algoritmo UMAP para classificação e redução de dimensionalidade de conjuntos de dados com múltiplas variáveis
(Universidade Federal de São Carlos, 2023-03-29)
Through many real-life applications, gathering information through real instruments subject to noise and imperfections tends to generate datasets where the number of observed variables and components easily exceeds a number ...
Algoritimo de detecção de retinopatia diabética baseado em aprendizado de máquina
(Universidade Federal de São Carlos, 2023-04-06)
In this study, the application of neural network and machine learning techniques was explored in order to identify the presence of lesions related to diabetic retinopathy (DR) in fundus images. DR is a frequent complication ...
Classificação de imagens de satélite com redes neurais convolucionais
(Universidade Federal de São Carlos, 2023-04-06)
Satellite images are used in several areas, such as agribusiness, urban planning, environmental monitoring, among others. These images have a large and complex amount of data and the application of Machine Learning techniques ...
Classificação preditiva de fases para ligas multicomponentes CrCoFeMnNi utilizando machine learning
(Universidade Federal de São Carlos, 2023-02-16)
When we refer to multicomponent alloys, or high entropy alloys as they are commonly called, it is inevitable to discuss the challenge of exploring new compositions that may be of scientific interest. This difficulty is ...