Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
In this paper we describe an adaptation method for adaptive hypermedia systems, consisting in personalized guided routes for the SEM-HP model. SEM-HP is a layered, systemic, semant...
Nuria Medina-Medina, Fernando Molina-Ortiz, Lina G...
Analyzing protein sequence data becomes increasingly important recently. Most previous work on this area has mainly focused on building classification models. In this paper, we i...