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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 ...
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. ...
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 ...
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 ...
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 ...