The use of dynamic selection techniques, for attributes or members of an ensemble, has appeared in several works in the literature as a mechanism to increase the accuracy of rating ensembles. Individually, each of these ...

As Redes Neurais Profundas (Deep Learning Networks) têm apresentado resultados no estado da arte em diversas tarefas desafiadoras, como na análise e classificação de imagens, vídeos e texto. Contudo, o seu treinamento é ...

O processo de revisão por pares é o principal recurso acadêmico para garantir que a ciência avance e seja divulgada. Para contribuir com esse importante processo, trabalhos foram realizados para criar modelos de classificação ...

It is generally accepted that one need to select the correct tool for a given task. The same holds for eating utensils. A cake eating experiment was designed to determine if the visual appearance of cakes with different ...

Pre-processing operations that reduce the size of a problem may be decisive for solving or not solving practical instances of a NP-hard problem. In this article we review some properties suggested in the literature for the ...

Constraint Directed Network Artificial Immune System is an artificial immune algorithm, recently proposed, to solve constraint satisfaction problems. The algorithm has shown to be able to solve hard instances. However, ...

A Constraint Satisfaction Problem is composed by a set of variables, their related domains and a set of constraints among the variables that must be satisfied. These are known as hard problems to be solved. Many algorithms ...

In the field of network design, the survivability property enables the network to maintain a certain level of network connectivity and quality of service under failure conditions. In this thesis, survivability aspects of ...