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Automatic computational scheme for segmentation, volumetric assessment and analysis of multiple sclerosis lesions in magnetic resonance images of the human brain
(Universidade Federal de São Carlos, 2019-09-27)
Multiple Sclerosis (MS) is an inflammatory demyelinating (that is, with myelin loss) disease of the Central Nervous System (CNS). It is considered an autoimmune disease in which the immune system wrongly recognizes the ...
Human action recognition based on spatiotemporal features from videos
(Universidade Federal de São Carlos, 2020-12-22)
Currently, there is a high demand for the development of new techniques for automatic pattern recognition in videos, for example for the automatic recognition of human actions, this demand is motivated by the advances in ...
Aprendizado de mudança de conceito por floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2020-12-17)
Classification algorithms take their decisions according to a learning process on the training set. Therefore, the data to be classified in the test set must have the same distribution as the training set to be correctly ...
Aprendizado de subcategorias para Never-ending Language Learning: uma abordagem baseada em perguntas e respostas
(Universidade Federal de São Carlos, 2021-01-08)
In recent years, ontologies have been used in information systems to index large corpora of documents or collections of facts and directly support user interaction with the system through functionalities such as navigation ...
Algoritmos para a redução de ruído Poisson e estimativa de parâmetros utilizando distâncias estocásticas
(Universidade Federal de São Carlos, 2018-06-14)
Noise is present in all applications of digital imaging. Due to its stochastic nature, it is impossible to determine exact procedures to completely remove noise from the image. Thus, the target signal may be affected during ...
GSA: operacionalizando a gamificação em atividades do processo de desenvolvimento de software
(Universidade Federal de São Carlos, 2021-04-22)
Context: Software development companies are constantly seeking practices that improve the execution of their activities and, consequently, their processes. Several initiatives for using gamification have been observed in ...
Avanços recentes em caracterização e classificação de imagens de texturas: explorando teoria da informação, aprendizado profundo e de variedades
(Universidade Federal de São Carlos, 2020-04-30)
The task of extracting features from images is a very important activity for many computer vision and image processing applications. Especially the characterization and identification of textures is a fundamental issue in ...
Lean UX Research: um framework para pesquisa em design construtivo
(Universidade Federal de São Carlos, 2022-05-30)
Constructive Design Research (CDR) aims to produce design knowledge through experimentation and debate within the academic community about the process of designing and evaluating an artifact. However, many studies in this ...
Uma abordagem de otimização utilizando Algoritmo Genético com estratégias de busca local e melhoramento genético para minimização do makespan no problema de programação da produção job shop
(Universidade Federal de São Carlos, 2021-11-12)
Many works nowadays use metaheuristics to deal with the class of problems known in the literature as Job Shop Scheduling Problem (JSSP) due to its complexity since it consists of combinatorial problems and belongs to the ...
Métodos para estimativa de imagens NIR a partir de imagens de câmeras RGB
(Universidade Federal de São Carlos, 2020-04-17)
Precision Agriculture involves the use of technology for management and decision making to allow rural producers to get better production results. To gain the desired effect, it is necessary a huge data collection and ...