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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 ...
Filtro stateless a 10G definido em Bluespec e implementado em FPGA
(Universidade Federal de São Carlos, 2021-06-18)
One of the pillars of cybersecurity is the principle of isolation, and one of the main ways to apply this principle to networks with globally routable addresses is packet filtering. With the increasing bandwidth consumed ...
Emoweb-k: extensão de um plugin para adaptar interfaces de usuário na web considerando emoções
(Universidade Federal de São Carlos, 2021-06-15)
Emotions are an important aspect of the user experience when using a system. In the literature, there are works that propose systems that change as user interfaces (UI) considering emotions, taking into account what is ...
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 ...
Uma análise do aplicativo Moodle Mobile para pessoas com deficiência visual
(Universidade Federal de São Carlos, 2021-01-06)
Due to the rapid evolution in the efficiency and the popularity of mobile devices, these devices have become essential for the daily lives of most people. In this context, accessibility tools and techniques must follow ...
Um Estudo Sobre Medidores Inteligentes de Energia
(Universidade Federal de São Carlos, 2021-01-13)
The world electricity sector is undergoing a major revolution thanks to the birth
and implementation of so-called Smart Grids or Intelligent Energy Grids. This
revolution is centered on the massive and active use of ...
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 ...
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 ...
Avaliação de métodos de construção de redes na classificação semi-supervisionada de textos
(Universidade Federal de São Carlos, 2021-11-23)
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 ...