Isabelle Alvarez

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This paper proposes a new method to estimate the class membership probability of the cases classified by a Decision Tree. This method provides smooth class probabilities estimate, without any modification of the tree, when the data are numerical. It applies a posteriori and doesn't use additional training cases. It relies on the distance to the decision(More)
This paper proposes a new method to rank the cases classified by a decision tree. The method applies a posteriori without modification of the tree and doesn't use additional training cases. It consists in computing the distance of the cases to the decision boundary induced by the decision tree, and to rank them according to this geometric score. When the(More)
The validity of the official SEUROP bovine carcass classification to grade light carcasses by means of three well reputed Artificial Intelligence algorithms has been tested to assess possible differences in the behavior of the classifiers in affecting the repeatability of grading. We used two training sets consisting of 65 and 162 examples respectively of(More)
  • Jean-Pierre Briot, Vinícius Sebba Patto, Eurico Vasconcelos, Alessandro Sordoni, Diana Adamatti, Marta De +4 others
  • 2008
In this paper, we introduce our current research project aimed at computer-based support for participatory management of protected areas, in order to promote biodiversity conservation and social inclusion. Its applicative objective is to help various stakeholders (e.g., environmentalist NGOs, communities , tourism operators, public agencies, and so on) to(More)
Empirical evidence of the usefulness of different molecular-based methods to estimate the effective population size (N(e)) for conservation purposes in endangered livestock populations is reported. The black-coated Asturcón pony pedigree (1,981 individuals) was available. Additionally, a total of 267 Asturcón individuals born in 1998, 2002, and 2008 were(More)
Multi-agent systems (MAS) represent an effective approach for designing and constructing collaborative applications, designed as set of autonomous entities, named agents, which interact and coordinate. Some example of references on multi-agent systems are: [1], [2] [3]. Although multi-agent systems provide an effective approach for decentralized(More)