This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
Goal-oriented methods are increasingly popular for elaborating software requirements. They offer systematic support for incrementally building intentional, structural, and operati...
Emmanuel Letier, Jeff Kramer, Jeff Magee, Sebasti&...
In this paper, we present a new visibility-based feature extraction algorithm from discrete models as dense point clouds resulting from laser scans. Based on the observation that ...
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...