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Now showing items 51-59 of 59
Análise de polaridade e de tópicos em tweets no domínio da política no Brasil
(Universidade Federal de São Carlos, 2021-10-14)
The political scenario in Brazil is one of the busiest and most controversial in the last decade. With the advent of social networks, a new communication channel between voters and politicians was created, with users having ...
Perceptions of Brazilian college students about ethics in computer-based data collection and interventions for mental health
(Universidade Federal de São Carlos, 2021-11-10)
Many college students worldwide exhibited bad symptoms of mental health conditions. In Brazil, the indicators are particularly alarming. Computing technologies have been investigated as possible support in this scenario. ...
Um framework conceitual para a seleção de sensores móveis para fenotipagem digital de estudantes com possível perfil depressivo
(Universidade Federal de São Carlos, 2024-06-25)
This capstone project presents the development of a framework for selecting mobile sensors for the digital phenotyping of university students with possible depressive profiles. Inspired by a seminal study by Torous that ...
Adaptação dos algoritmos ROCKET e MiniRocket para classificação de tumores cerebrais
(Universidade Federal de São Carlos, 2024-09-04)
One of the main methods of brain tumor diagnosis is the magnetic resonance imaging of a patient’s head. Identifying a tumor’s type using those images is important for its adequate treatment, and one of the most relevant ...
Clusterização de dados no mercado de crédito privado: a influência das passagens entre fundos de investimento
(Universidade Federal de São Carlos, 2024-09-02)
The main objective of this work is to analyze the impact of Transfer Procedures operations in the secondary market of fixed income for local corporate bonds, focusing on the PEJA11 debenture. For this purpose, a pattern ...
Regressão multi alvo via agrupamento hierárquico das variáveis dependentes
(Universidade Federal de São Carlos, 2024-09-06)
Multi-target regression is a crucial technique in machine learning, applied to problems where multiple dependent variables need to be predicted simultaneously. In this work, a new approach is proposed that utilizes ...
Comparação de modelos de redes neurais na segmentação de vasos sanguíneos em imagens médicas
(Universidade Federal de São Carlos, 2024-09-05)
The analysis of blood vessels is responsible for extracting various important pieces of information in the healthcare field, and the impact of more precise analyses on disease studies and diagnoses holds positive potential. ...
Um estudo sobre testes Flaky em projetos Python
(Universidade Federal de São Carlos, 2024-09-06)
Understanding the behavior of automated tests is crucial for improving software development practices. This study focuses on investigating the incidence of flaky tests in Python projects. The research involved analyzing ...
Estudo e comparação de algoritmos para seleção de nós sobre o Problema de Escalonamento de Drone Paralelos com o Caixeiro Viajante
(Universidade Federal de São Carlos, 2024-09-06)
The famous Traveling Salesman Problem (TSP) is a challenge that often arises in large companies that handle deliveries, and a new variable is being added to this issue: drones, small unmanned aerial vehicles. Their use has ...