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Insight : uma abordagem guiada pela informação para análise qualitativa com suporte de visualização e mineração de texto
(Universidade Federal de São Carlos, 2014-08-25)
Usually, experimental studies that are conducted to generate evidences on the different
scientific fields produce many qualitative data to be analyzed by researchers. For instance, this is
the case of defects lists ...
Combinação de classificadores baseados em floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2017-08-31)
Machine learning techniques have been actively pursued in the last years, mainly due to the great number of applications that make use of some sort of intelligent mechanism for decision-making processes. In this context, ...
Detecção de ataques a sistemas de reconhecimento facial utilizando abordagens eficientes de aprendizado de máquina em profundidade
(Universidade Federal de São Carlos, 2019-05-21)
Biometrics emerged, in the last decades, as a robust and convenient solution for security systems. However, despite the higher difficulty to circumvent the biometric applications, nowadays, criminals are developing attacks, ...
Modelo para o Projeto de Planos de Ensino em Plataformas Computacionais Móveis
(Universidade Federal de São Carlos, 2018-06-27)
Mobile platforms can provide teaching programs that favor student learning. The characteristics of autonomy and personalization of mobile devices are factors that reinforce this. However, designing a teaching program ...
Método de reconstrução tomográfica de amostras agrícolas com o emprego de técnicas big data
(Universidade Federal de São Carlos, 2020-01-31)
A new method of high resolution tomographic reconstruction of agricultural samples is presented, which uses the spectral density of X-ray tomographic projections as a criterion to minimize processing time and obtain good ...
Explorando abordagens de classificação contextual para floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2016-06-24)
Pattern recognition techniques have been widely studied and disseminated in order to
develop ways to improve the e ectiveness of the pattern classi ers using labeled samples.
However, such techniques usually work following ...
Single, multi- and many-objective meta-heuristic algorithms applied to pattern recognition
(Universidade Federal de São Carlos, 2019-07-10)
In the last few years, metaheuristic algorithms have been used for solving several problems in engineering, biology, physics, among others, since many of them can be modeled as being optimization tasks. Metaheuristic methods ...
Abordagem utilizando realidades aumentada e virtual para suportar cursos baseados em metodologias ativas de aprendizagem (AURAV-SCBMAA)
(Universidade Federal de São Carlos, 2019-11-22)
Over the last few years, the evolution of Information and Communication Technologies (ICT) has impacted the interaction between people. In Education, significant changes have occurred in student behavior, and traditional ...
3D face recognition with descriptor images and shallow convolutional neural networks
(Universidade Federal de São Carlos, 2020-11-05)
Nowadays, there is an increasing need for systems that can accurately and quickly identify a person. Traditional identification methods utilize something a person knows or something a person has. This kind of methods has ...
SCAS-Fuzzy: uma estratégia semiautomática para seleção de estudos primários em estudos secundários
(Universidade Federal de São Carlos, 2018-01-23)
Context: Systematic review and systematic mapping are secondary studies used to identify and aggregate relevant literature evidence on a research question of interest. One of the activities associated with secondary studies ...