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Uma análise comparativa de desempenho entre diferentes tecnologias de execução de aplicações web do lado do servidor
(Universidade Federal de São Carlos, 2020-12-14)
This work compares the performance of native applications against applications to be executed by execution systems. The applications were built with two frameworks meant for server-side application development with Java: ...
Segmentação dos hipocampos em imagens de ressonância magnética usando modelos geométricos deformáveis e informações de textura
(Universidade Federal de São Carlos, 2022-04-15)
Hippocampi are brain structures intimately related to cognition, hence they are of great clinical interest for the diagnosis and analysis of the progression of neurodegenerative diseases, such as Alzheimer’s disease (AD) ...
Mapeamento isométrico de atributos baseado em geometria diferencial para aprendizado de métricas não supervisionado
(Universidade Federal de São Carlos, 2021-11-16)
The act of representing a dataset in a way that’s more compact and significant is denominated dimensionality reduction. The capacity of building adaptive distance functions to each dataset before classification is known ...
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 ...
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 ...