Listar Teses e dissertações por asesor "a26a6b97-f6e5-4bd7-9c5a-876ad8cf02fd"
Mostrando ítems 1-10 de 10
-
Auxílio ao diagnóstico automático do esôfago de Barrett utilizando aprendizado de máquina
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 28/03/2022)Esophageal adenocarcinoma is an illness that is usually hard to detect at the early stages in the presence of Barrett's esohagus. The development of automatic evaluation systems of such illness may be very useful, thus ... -
Avoiding overfiting: new algorithms to improve generalisation in convolutional neural networks
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 22/06/2022)Deep Learning has achieved state-of-the-art results in several domains, such as image processing, natural language processing, and audio processing. To accomplish such results, it uses neural networks with several processing ... -
Restauração de imagens utilizando aprendizado de máquina
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 08/03/2019)Image processing is an area that has received considerable attention as a result of the evo- lution of digital computing technology. One of the main techniques of image processing concerns its restoration, which consists ... -
Combinação de classificadores baseados em floresta de caminhos ótimos
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 31/08/2017)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, ... -
Aprendizado de máquina aplicado ao auxílio do diagnóstico da doença de Parkinson
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 26/07/2017)Currently, it is not a trivial task to point out a test that can diagnose accurately enough a patient with Parkinson’s Disease, as well as it is quit difficult to assess the level of the disease. Experts recommend the ... -
On the training algorithms for Restricted Boltzmann Machine-Based Models
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 05/12/2018)Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ... -
Explorando abordagens de classificação contextual para floresta de caminhos ótimos
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 24/06/2016)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, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 10/07/2019)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 ... -
On the advances in pattern recognition using Optimum-Path Forest
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 24/09/2020)Pattern recognition (PR) techniques have been paramount to solve different and complex problems in many fields of study. The basic idea behind PR techniques is to compute a model capable of classifying unknown samples. ... -
Aprendizado de mudança de conceito por floresta de caminhos ótimos
(Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 17/12/2020)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 ...