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Improving data locality of bagging ensembles for data streams through mini-batching
(Universidade Federal de São Carlos, 2021-08-27)
Machine Learning techniques have been employed in virtually all domains in the past few years. In many applications, learning algorithms will have to cope with dynamic environments, under both memory and time constraints, ...
Efeitos de micropartículas de prata, em diferentes dorfologias, isoladas e em misturas, sobre organismos planctônicos dulcícolas de dois diferentes níveis tróficos
(Universidade Federal de São Carlos, 2022-04-27)
Currently, particles with silver in their composition have drawn attention for their wide applicability. In particular, the silver tungstate (α-Ag2WO4), which has microbicidal, fungicidal and antitumor activities, is used ...
Combinando perfil operacional do software e perfil de teste para uma estratégia de teste aderente às necessidades dos usuários
(Universidade Federal de São Carlos, 2022-01-28)
The Software's Operational Profile (SOP) is a representation of how users use the software in practice, thus identifying the parts of the software most operated by the users. Since the reliability of a software depends on ...
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 ...
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 ...
Slice Elasticity Architecture (SEA): definition, implementation and integration
(Universidade Federal de São Carlos, 2022-02-14)
Network slicing initiatives (e.g., Cloud Network Slicing, 5G Network Slicing) are being
widely studied by academia and industry as enablers for future networks like 5G and
6G, as well as verticals such as V2X, critical ...
REMEDY: architectural conformance checking for adaptive systems
(Universidade Federal de São Carlos, 2021-11-12)
Adaptive Systems (ASs) evaluate their own behavior and change it when the evaluation indicates it is not accomplishing the established goals, or when better functionality or performance is possible. Nowadays these kind of ...
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 ...
Uma nova estratégia de transferência de aprendizado profundo visando o diagnóstico de condições e doenças relacionadas aos olhos
(Universidade Federal de São Carlos, 2023-07-25)
Data from the World Health Organization indicate that billions of cases of visual impairment could be avoided, mainly with regular examinations. However, the absence of specialists in basic health units has resulted in a ...
Anotação semântica baseada em ontologia aplicada em imagens médicas
(Universidade Federal de São Carlos, 2023-07-13)
Breast cancer is one of the most common types of cancer among women in Brazil and worldwide. Early diagnosis of a breast lesion is a priority for effective treatment at lower costs, with mammography being the most used ...