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Análise de algoritmos de construção de grafos em conjuntos de dados de alta dimensionalidade
(Universidade Federal de São Carlos, 2023-08-28)
The rapid development and adoption of information technologies, such as the internet, have resulted in an explosion in data generation, significantly increasing the volume of new instances with various attributes. The vast ...
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 ...
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 ...
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 ...
Aprendizado não supervisionado de métricas via redução de dimensionalidade para reconhecimento de dígitos numéricos
(Universidade Federal de São Carlos, 2021-11-16)
Character recognition is a task that has occurred since the last century and is still a problem to be solved nowadays. One of the challenges is that the characters to be classified are images, therefore, they have many ...
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, 2021-06-22)
Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ...
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, 2021-11-19)
Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein’s functions. As there are a lot of proteins that reside at the ...
Seleção de SNPs utilizando random forests
(Universidade Federal de São Carlos, 2020-07-02)
Single Nucleotide Polymorphisms (SNPs) are single-base variations in the nucleotide sequence of different individuals or between homologous sequences within a living being. A large part of genetic variations occur as SNPs. ...