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Mostrando ítems 21-30 de 39
Intuitive: modelo conceitual para workflows de ETL
(Universidade Federal de São Carlos, 2020-09-09)
The information domain is seen as a competitive differential in the most varied business areas, such as health, agribusiness, telecommunications, logistics, and government agencies. The correct and updated information is ...
Aprendizado de mudança de conceito por floresta de caminhos ótimos
(Universidade Federal de São Carlos, 2020-12-17)
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 ...
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 ...
Towards semantic association rules mining from ontology-based semantic trajectories
(Universidade Federal de São Carlos, 2021-02-09)
Different technologies and social-cultural aspects of our lives have allowed the acquisition of people's mobility data. The same applies to other moving objects, such as birds with GPS trackers and hurricanes with real-time ...