Browsing TCC by Subject "Aprendizado de máquina"
Now showing items 1-13 of 13
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Investigação de métodos de seleção de atributos para problemas de classificação hierárquica multirrótulo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/04/2023)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 ... -
Análise comparativa de algoritmos de construção de grafos e técnicas de incorporação de palavras na análise de sentimentos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 01/02/2024)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, ... -
Alocação de carteiras de ações utilizando aprendizado de máquina e regras fuzzy
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/09/2022)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 ... -
Avaliação de métodos de construção de redes e detecção de comunidades no agrupamento de textos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/09/2022)Due to the large amount of data produced daily in text format, whether publicly on social networks or privately within companies, there is a need to analyze and extract information from them. The goal is to turn them into ... -
Análise e aplicações do algoritmo UMAP para classificação e redução de dimensionalidade de conjuntos de dados com múltiplas variáveis
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 29/03/2023)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 ... -
Uso de aprendizado de máquina supervisionado para mensurar provisão no mercado de crédito estruturado: uma comparação entre modelos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 27/03/2023)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 ... -
Mapeamento isométrico de atributos baseado em geometria diferencial para aprendizado de métricas não supervisionado
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/11/2021)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 ... -
Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/06/2020)Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ... -
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/06/2021)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 ... -
Árvore de predição semi-supervisionada para predição de localização subcelular de proteínas
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 19/11/2021)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 ... -
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 23/11/2021)Due to the shear amount of data produced daily in text format, being it publicly on social media or privately inside enterprises, there is a growing need to analyze and extract information from them. The objective is to ... -
Análise comparativa entre algoritmos de agrupamento e de detecção de comunidades em redes
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/11/2021)Clustering is one of the most notorious Machine Learning techniques and has an infinite number of practical applications in different areas of knowledge. Understanding the types of approaches and their characteristics is ... -
Adaptação dos algoritmos ROCKET e MiniRocket para classificação de tumores cerebrais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 04/09/2024)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 ...