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Análise de metodologias e estratégias de testes de API rest: um estudo de caso
(Universidade Federal de São Carlos, 2023-08-29)
The present work aims to present an analysis of API testing types, their characteristics,
and the importance of these tests to ensure API quality. In addition, the concept of Behavior-Driven Development (BDD) and how it ...
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 ...
Aplicação de Técnicas de Aprendizado de Máquina na Identificação de Marcadores Genéticos para a Doença de Alzheimer
(Universidade Federal de São Carlos, 2024-02-01)
Single nucleotide polymorphism (SNP) is the variation at a single position in the nucleotide chain where DNA is formed. Since it is a genetic alteration, it is of utmost importance for the study of human health. Through ...
Detecção e análise de assimetrias estruturais 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 the main cause of dementia and affects more than 30% of population older than 85 years old. As the elderly population increases, AD has become a relevant public health problem. However, the ...
Utilização de agrupamento como método de pré-processamento em problemas de regressão linear
(Universidade Federal de São Carlos, 2021-11-19)
For real-world data to be explored, pre-processing is needed in order to ease machine
learning applications. Nowadays, various pre-processing techniques are available, and this paper
aims to show the impacts of using ...
Análise comparativa de algoritmos de construção de grafos e técnicas de incorporação de palavras na análise de sentimentos
(Universidade Federal de São Carlos, 2024-02-01)
Sentiment analysis has become a crucial tool for understanding public perception in various areas, such as marketing, politics, and social media. It allows the extraction of valuable insights from large volumes of text, ...
Proposta de uma GAN para geração de moléculas
(Universidade Federal de São Carlos, 2024-01-30)
In the field of biology, molecules play a crucial role, acting as the fundamental building blocks that make up everything around us, from elements like water and air to the intricate structures that make up our own bodies. ...
Predição de carga de energia elétrica no Brasil utilizando técnicas de Deep Learning
(Universidade Federal de São Carlos, 2022-10-22)
The open electricity market has stood out for being a competitive and dynamic way of trading an asset that was previously restricted to passive consumption. The freedom of negotiation provided to the participants of this ...
Alocação de carteiras de ações utilizando aprendizado de máquina e regras fuzzy
(Universidade Federal de São Carlos, 2022-09-22)
Long-term investments through stock portfolios attract the attention of investors, who are looking for simple and effective ways to select stocks to compose a portfolio, as well as find a series of assets that will have ...
Modelagem de arquitetura baseada em microsserviços com foco em segurança
(Universidade Federal de São Carlos, 2022-04-14)
Data are key players in the Fourth Industrial Revolution as they enable the digital world to become increasingly connected and intelligent. Among the various types of data, personal and sensitive data demand greater caution ...