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Now showing items 21-30 of 31
Uma arquitetura não intrusiva e reativa para realizar o processo ETL em tempo real em ambientes de data warehousing
(Universidade Federal de São Carlos, 2021-12-20)
There is a great interest in obtaining data that support the decision-making process in business. These data are available in data sources in the operational environment, which are autonomous, heterogeneous, and distributed. ...
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, ...
Multimodal classification for detecting products that do not comply with the Americanas S.A.'s marketplace sales policies
(Universidade Federal de São Carlos, 2022-04-19)
Multimodal learning for the e-commerce domain, some classification methods are ne-
eded for categorization, information retrieval and product recommendations, which are
generally composed of different modalities: images ...
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 ...
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 ...
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 ...
Construção automática de grafo de conhecimento no domínio do e-commerce
(Universidade Federal de São Carlos, 2022-04-27)
Extracting knowledge efficiently, when large volumes of data are generated daily, is still a challenge. In most cases, these data are unstructured, that is, they are presented in textual or visual format without a clear ...
Sistema de visão computacional para reconhecimento e classificação de padrões de famílias de plantas invasoras
(Universidade Federal de São Carlos, 2023-06-08)
Computer Vision, in addition to involving pattern recognition and object classification techniques, has been characterized as an emerging field of fundamental importance in the context of intelligent computing. Its application ...
QualiProcREA:abordagem para a avaliação da qualidade de Recursos Educacionais Abertos com base em procedência dos dados
(Universidade Federal de São Carlos, 2023-02-07)
Due to the characteristic of legal opening, new Open Educational Resources (OER) can be created by revising (adapting) and/or remixing (combining) different source OER. Thus, OER expand the opportunities for creating ...