Search
Now showing items 1-10 of 15
Método para classificação de padrões da Lagarta do cartucho (Spodoptera frugiperda) na cultura do milho baseado em processamento de imagens digitais e aprendizado de máquina
(Universidade Federal de São Carlos, 2021-12-29)
The detection, identification, and control of the Fall Armyworm (Spodoptera frugperda) pest
into the maize culture (Zea mays) are greatly dependent on the human factor. Currently, such
control occurs mainly through the ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...
Um método de otimização com parâmetros de desempenho para Cloud Network Slices focado no locatário
(Universidade Federal de São Carlos, 2021-01-29)
Cloud Network Slicing (CNS), emerging alongside the 5G mobile network, comprises a paradigm shift in the way networks are provisioned, managed, and operated. Fundamentally, CNS fosters the deployment of a multitude of ...
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 ...
Committee of NAS-based models
(Universidade Federal de São Carlos, 2021-05-28)
Network Architecture Search (NAS) has achieved great results and generated models comparable with humans’ classifications. Automating the definition of a neural architecture reduces the need for expert work efforts and ...
ACUX: um guia para escrita de aspectos de UX em Critérios de Aceitação de User Stories
(Universidade Federal de São Carlos, 2021-04-27)
In recent years, the use of agile software development practices has expanded. In this same context, the concern with User Experience (UX) factors in the software development process has become evident, which is a differential, ...
Avaliação de geradores automáticos de dados de teste com ênfase no teste de mutação
(Universidade Federal de São Carlos, 2021-03-31)
Context: With the increasing presence of technology in daily life, it is crucial to guarantee the quality of software products, which can be reached by testing activity. However, testing is highly expensive, once it is ...
Enriquecendo a previsão de séries temporais usando informação textual
(Universidade Federal de São Carlos, 2021-02-25)
The ability to extract knowledge and forecast stock trends is crucial to mitigate investors' risks and uncertainties in the market. The stock trend is affected by non-linearity, complexity, noise, and especially the ...
Data preparation pipeline recommendation via meta-learning
(Universidade Federal de São Carlos, 2021-05-26)
Data preparation is a essential stage in the machine learning pipeline, aiming to convert noisy and disordered data into refined data compatible with the algorithms. However, data preparation is time-consuming and requires ...
Curriculum learning applied to the combined algorithm selection and hyperparameter optimization problem
(Universidade Federal de São Carlos, 2021-05-25)
AutoML has the goal to find the best Machine Learning (ML) pipeline in a complex and high dimensional search space by evaluating multiple algorithm configurations. Training multiple ML algorithms is time costly, and as ...