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Hybrid and semi-supervised predictive bi-clustering trees for interaction prediction
(Universidade Federal de São Carlos, 2023-04-05)
Interaction data is obtained by observing and recording interactions between objects.
The use of interaction data makes it possible to solve many complex problems. Currently, there are several ways to use this data to ...
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 ...
Modelo preditivo de situações como apoio à consciência situacional e ao processo decisório em sistemas de resposta à emergência
(Universidade Federal de São Carlos, 2017-08-28)
Situation Awareness (SAW) is a concept widely used in areas that require critical decision making, and refers to the ability of an individual or team to perceive, understand and anticipate the future state of a current ...
Algoritmos genéticos multiobjetivo para classificação hierárquica de elementos transponíveis
(Universidade Federal de São Carlos, 2018-11-09)
In Machine Learning (ML), commonly a classification problem consists of associating an instance to only one class within an usually small number of classes. However, there are more complex problems involving dozens and ...
Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins
(Universidade Federal de São Carlos, 2020-03-10)
In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...
Análise da predição da violência infantil por meio de árvores de decisão e regras de associação
(Universidade Federal de São Carlos, 2020-06-02)
According to the United Nations International Children's Emergency Fund (UNICEF), currently around 300 million children around the world suffer from various types of abuse, including: psychological, physical, sexual or ...
Classificação de sinais fisiológicos para inferência do estado emocional de usuários
(Universidade Federal de São Carlos, 2019-02-25)
Emotional state plays a fundamental role in explaining human behavior in everyday life, influencing decisions and even how to communicate. Therefore, understanding these characteristics and how to identify them is of the ...
Deep learning para classificação hierárquica de elementos transponíveis
(Universidade Federal de São Carlos, 2018-09-05)
Transposable Elements (TEs) are DNA sequences that can change its location within a cell's genome. They contribute directly to the genetic variety of species. Besides, their transposition mechanisms can affect the functionality ...
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 ...
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 ...