Classifier combination for in vivo magnetic resonance spectra of brain tumours

In this paper we present a multi-stage classifier for magnetic resonance spectra of human brain tumours which is being developed as part of a decision support system for radiologists. The basic idea is to decompose a complex classification scheme into a sequence of classifiers, each specialising in different classes of tumours and trying to reproducepart of the WHO classification hierarchy. Each stage uses a particular set of classification features, which are selected using a combination of classical statistical analysis, splitting performance and previous knowledge.Classifiers with different behaviour are combined using a simple voting scheme in order to extract different error patterns: LDA, decision trees and the k-NN classifier. A special label named "unknown¿ is used when the outcomes of the different classifiers disagree. Cascading is alsoused to incorporate class distances computed using LDA into decision trees. Both cascading and voting are effective tools to improve classification accuracy. Experiments also show that it is possible to extract useful information from the classification process itself in order to helpusers (clinicians and radiologists) to make more accurate predictions and reduce the number of possible classification mistakes.

Special issue on evolving the e-marketing mindset towards the social web model - Editorial Part 2

In the previous issue of IJEMR, we introduced the general framework and the main ideas justifying this special editorial project. To avoid repetition of the background themes to the current issue, the reader should consult the previous edition. Here, we present the second part of contributions selected for publication.

Special issue on evolving the e-marketing mindset towards the social web model - Editorial Part 1

Con este proyecto editorial nuestro objetivo es promover un campo de investigación clave en la comercialización de hoy, es decir, la evolución de la mentalidad e-marketing hacia el nuevo modelo de web social.