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Auxílio ao diagnóstico automático do esôfago de Barrett utilizando aprendizado de máquina
(Universidade Federal de São Carlos, 2022-03-28)
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 ...
Análise experimental da eficácia de um método de inspeção da interface de usuário para predição da resposta emocional
(Universidade Federal de São Carlos, 2020-12-18)
In the area of Human-Computer Interaction (IHC), evaluations help to know the desires and problems that people face when interacting with user interfaces (UI). Evaluations can be carried out in order to investigate aspects ...
Aprendizado de máquina construtivo e classificação hierárquica multirrótulo aplicados à geração de moléculas
(Universidade Federal de São Carlos, 2023-02-09)
One of the goals of Medicinal Chemistry is to discover new molecules with drug-like characteristics, which is challenging because the search space is discrete, unstructured, and enormous. In recent years, computation has ...
Virtualização de laboratórios educacionais com distribuição eficiente de imagens de disco
(Universidade Federal de São Carlos, 2021-06-01)
Due to the transversality of Computer Science and Engineering as an area of interdisciplinary research and to the adoption of the computer as a tool by the most diverse areas of knowledge, computer labs have become essential ...
Avaliação de riscos de segurança BGP na Internet com emulação escalável
(Universidade Federal de São Carlos, 2021-12-15)
Border Gateway Protocol (BGP) is the predominant routing protocol that allows different Autonomous Systems (AS) to communicate on the Internet. Attacks on BGP typically have a significant impact as they can cause unavailability ...
Avoiding overfiting: new algorithms to improve generalisation in convolutional neural networks
(Universidade Federal de São Carlos, 2022-06-22)
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 ...
Classificação da doença de Alzheimer baseada em graph kernels construídos a partir de atributos de textura 3D de imagens de ressonância magnética
(Universidade Federal de São Carlos, 2022-02-16)
Alzheimer's disease (AD) is neurodegenerative and characterized by cognitive and behavioral impairment. Mild cognitive impairment (MCI) is a relatively broad clinical condition involving a slight memory deficit, which in ...
Método de escolha de Scheduling para problemas de Job Shop Flexível utilizando um tomador de decisão Fuzzy
(Universidade Federal de São Carlos, 2022-11-11)
Among the scheduling problems encountered in production, there is the flexible job shop (FJSP),
which is an extension of the classic Job Shop. The FJSP is classified as an NP-Hard problem and can
be described as a set ...
A tool-supported approach to adapt web user interfaces considering the emotional state of the user
(Universidade Federal de São Carlos, 2022-03-10)
The field of Human-Computer Interaction aims at developing computational systems that place the user at the center of the their development, so he/she can have the best experience when interact with the final solution. ...
Microcontroladores: definição e implementação de controladores estruturalmente flexíveis para sistemas adaptativos
(Universidade Federal de São Carlos, 2022-10-14)
Context: This work starts from the hypothesis that controllers for adaptive systems that are partitioned into elements, in this work called microcontrollers, which are dedicated to each service involved in the stages of a ...