We focus on clustering gene expression temporal profiles, and propose a novel, simple algorithm that is powerful enough to find an efficient distribution of genes over clusters. We...
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret a...
Abstract. We address the problem of extracting Minimal Unsatisfiable Cores (MUCs) from constraint networks. This computationally hard problem has a practical interest in many appli...
Fred Hemery, Christophe Lecoutre, Lakhdar Sais, Fr...
In this paper, we propose an approach to guide search to sources of conflicts. The principle is the following: the last variable involved in the last conflict is selected in priori...
Abstract. We introduce a new approach to spellchecking for languages with extreme phonetic irregularities. The spelling for such languages can be significantly improved if knowledg...