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Uso de aprendizado de máquina supervisionado para mensurar provisão no mercado de crédito estruturado: uma comparação entre modelos
(Universidade Federal de São Carlos, 2023-03-27)
The credit expansion has been fundamental to global economic growth, allowing people and businesses to access more financial resources for investment and consumption within an increasingly complex and competitive economic ...
Aprendizado multilíngue e multimodal para o português do Brasil
(Universidade Federal de São Carlos, 2023-08-30)
This work explores the domain of multimodal machine translation, which is a process that combines information from different modalities – such as text, images, and audio – to perform translations between languages. Thus, ...
NFT (non-fungible token) como utility toke: um estudo de caso
(Universidade Federal de São Carlos, 2023-08-31)
Utility tokens are any digital asset that has a benefit attached to it, whether physical or digital, in addition to its speculative value. Benefits can include access to a certain group of services, participation in prize ...
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 ...
Solução de comunicação de baixo custo utilizando LoRa e ESP32
(Universidade Federal de São Carlos, 2023-08-31)
This work deals with the evaluation of the average range of a local communication network with the LoRa protocol based on low-cost generic hardware and the establishment of its possible applications. A secondary objective ...
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 ...
Segmentação de vasos sanguíneos utilizando Redes Neurais Convolucionais: visualização e análise de correlação dos mapas de ativação
(Universidade Federal de São Carlos, 2023-03-29)
Convolutional neural networks (CNN) are responsible for advancing the automation of tasks in the field of computer vision, with image classification, object recognition and image segmentation, as it is present in different ...
Aplicação de métodos de redução de dimensionalidade não lineares em classificadores paramétricos e não paramétricos
(Universidade Federal de São Carlos, 2023-12-04)
Much of the data collected and used in machine learning applications is structured in high-dimensional spaces. Images, text documents and sensor data are some examples of data collected all the time, and whose number of ...
Análise e aplicações do algoritmo UMAP para classificação e redução de dimensionalidade de conjuntos de dados com múltiplas variáveis
(Universidade Federal de São Carlos, 2023-03-29)
Through many real-life applications, gathering information through real instruments subject to noise and imperfections tends to generate datasets where the number of observed variables and components easily exceeds a number ...
Classificação de decisões judiciais sobre dados presentes no diário eletrônico da justiça do trabalho (DEJT)
(Universidade Federal de São Carlos, 2023-03-28)
Efficiently classifying legal decisions as approved or rejected is critical to ensuring a fair and effective justice system. This study presents a solution for this task, using machine learning techniques. The proposed ...