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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 ...
Modelos preditivos comportamentais para otimização de despacho de táxis
(Universidade Federal de São Carlos, 2019-04-12)
The popularization of smartphones has given rise to several online taxi-booking applications as a more efficient way to call for a taxi. These applications mediate communication between passengers and taxi drivers, reducing ...
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 ...
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 ...
Identificação automática de equivalência de conceitos em diferentes idiomas para aprendizado sem fim
(Universidade Federal de São Carlos, 2019-06-24)
Artificial Intelligence (AI) refers to a machine capable of systematizing and automating tasks that require intelligence when performed by humans. With AI it may be possible to create a decision-making process with an ...
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 ...