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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 ...
Segmentação e quantificação de tecidos das regiões hipocampais em imagens de ressonância magnética aplicadas ao auxílio ao diagnóstico do Alzheimer
(Universidade Federal de São Carlos, 2022-04-13)
Alzheimer’s disease (AD), is a neurodegenerative disease that destroys brain cells, causing losses in cognitive functions and the ability to perform simple tasks daily. AD has a progressive course and its prevalence increases ...
Um estudo de redes neurais recorrentes no contexto de previsões no mercado financeiro
(Universidade Federal de São Carlos, 2020-12-17)
Financial time series forecasting is one of the most researched artificial intelligence applications by financial market analysts, both in the academic and corporate world. Within this area, there is a great emphasis on ...
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 ...
Aprimoramento de um modelo iterativo de segmentação de lesões de esclerose múltipla em imagens de ressonância magnética
(Universidade Federal de São Carlos, 2022-04-15)
Multiple Sclerosis (MS) is a cronical, inflammatory and demyelinating disease that impairs the central nervous system (CNS). MS is possibly autoimmune and mainly affects the young adult population. Although its diagnosis ...
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. ...
Análise de artigos científicos sobre COVID-19: uma perspectiva usando redes complexas
(Universidade Federal de São Carlos, 2022-04-18)
The COVID-19 pandemic was one of the 21st century's biggest events, impacting the lives of all the people on the planet. From a scientific perspective, it was a very accelerated growth period for the medical, pharmaceutical ...
Construção de um pipeline de dados utilizando serviços da nuvem
(Universidade Federal de São Carlos, 2022-04-18)
The evolution of the computer network and the increasing access and interaction of the world population to the internet has provided a change in the data scenario. At all times, data is generated in exorbitant amounts and ...
ECID lite: uma aplicação para previsão de explosões solares
(Universidade Federal de São Carlos, 2022-04-13)
Solar flares are phenomena that happen on the Sun, which consist of a sudden release of a large amount of energy. This large release of solar radiation causes electromagnetic disturbances on the earth, affecting communications, ...