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)
Spatially explicit individual-based models are used more often in forest modeling, especially because they take into account the influence of the spatial structure on the dynamics. However, they are potentially very sensitive to the initial spatial structure used for a simulation, which can be problematic if the initial state is not known or is simulated in(More)
This paper addresses our experience in the design of a serious game, aimed at computer-based support for intercultural participatory management of protected areas (e.g., parks, marine reserves, biosphere reserves...), in order to promote biodiversity conservation and social inclusion. Its objective is, via a computer assisted role-playing game, to help(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)
In the framework of Decision Support Systems, mathematical viability theory can be used to classify the states and the trajectories of a dynamical system evolving in a set of desirable states. Since obtaining this viability theory output is a complex and computationally intensive task, we propose in this article to consider a compact representation of this(More)
This paper addresses an ongoing experience in the design of an artificial agent taking decisions and combining them with the decisions taken by human agents. The context is a serious game research project, aimed at computer-based support for participatory management of protected areas (and more specifically national parks) in order to promote biodiversity(More)
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)