Rodolfo Ibarra-Orozco

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The identification of different heart diseases plays an important role in medical applications since it is becoming a growing problem. In order to decrease the number of deaths, it is important to consider warning signs, and knowing how to respond quickly and properly when it occurs. In this paper we propose the use of Fuzzy Support Vector Clustering in(More)
This paper presents a particular methodology to monitor the level of vigilance of an operator in the context of a complex human-machine system. The apparatus consider the instrumentation of a car with several sensors and HMI equipment, developed within the European project SENSATION. We present the SENSATION sensors used in this experiment, the methodology(More)
In this paper, we present a methodology to generate Adap-tive Learning Objects based on the students' learning style orientation. An adaptive hypermedia methodology is applied in order to classify a Learning Object (LO) and, then, the obtained classification is inserted into the LO, so a Learning Management System can present the LOs that correspond with(More)
The Support Vector Machine (SVM) is awell known method used for classification, regression and density estimation. Training a SVM consists in solving a Quadratic Programming (QP) problem. The QP problemis very resource consuming (both computational time and computational memory), because the quadratic form is dense and the memory requirements grow square(More)