Resistência por antibiose de Lycopersicon peruvianum à traça do tomateiro

Suporte de Ontologias Aplicadas à Mineração de Dados por Regras de Associação

Data Mining (DM) for association rules tends to generate an unmanageable number of rules affecting the scope of its application. To solve this problem we propose the use of ontologies in the stages of pre and post-processing tasks to support the MD. In addition, the article points out that human organizations require the notions of possibility, subjectivity and interpretation, contrasting with ...

Minimização do Impacto do Problema de Desvio de Conceito por Meio de Acoplamento em Ambiente de Aprendizado Sem Fim

Machine Learning (ML) is a research subarea of Artificial Intelligence that aims to develop computer programs that can evolve with new experiences. Among the many ML goals, the endless learning, i.e., methods that would enable computer systems to autonomously improve their own performance, based on previously learnt information, is of particular interest in the research described in this paper....

Método de Parcelamento do Corpo Caloso por Watershed em Imagens de Tensor de Difusão

The corpus callosum is the most important white matter brain structure that connects both cerebral hemispheres, and represents an important structure studying for neurodegenerative diseases. Thus the corpus callosum characterization and parcellation are desirable tasks, but due to the lack of visible landmarks, shape and intensity variation among subjects, it represents a complex task. This pap...

Contribution à l'étude de la maladie athéromateuse

Adaptation du Virus de l'Echtyma Contrgieux à la Culture de Cellules de Singe