Publicaciones en las que colabora con JAVIER FRANCISCO MUGUERZA RIVERO (39)

2017

  1. A Stress Classification System Based on Arousal Analysis of the Nervous System

    Biosystems and Biorobotics (Springer International Publishing), pp. 783-787

  2. A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine

    Computer Methods and Programs in Biomedicine, Vol. 148, pp. 81-90

2015

  1. Analysis of introducing active learning methodologies in a basic computer architecture course

    IEEE Transactions on Education, Vol. 58, Núm. 2, pp. 110-116

2014

  1. A hierarchical BCI system able to discriminate between Non intentional Control state and four Intentional Control activities

    PhyCS 2014 - Proceedings of the International Conference on Physiological Computing Systems

2013

  1. Aprendizaje cooperativo y basado en proyectos en la asignatura Arquitectura de Computadores

    ReVisión, Vol. 6, Núm. 2

  2. Game-console-based projects for learning the computer input/output subsystem

    IEEE Transactions on Education, Vol. 56, Núm. 4, pp. 453-458

  3. Una experiencia en el uso de metodologías activas en la asignatura Arquitectura de Computadores

    Actas de las XIX Jornadas de la Enseñanza Universitaria de la Informática: JENUI 2013 : Castellón, del 10 al 12 de julio de 2013

2012

  1. Nintendo® DS projects to learn computer input-output

    Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE

2011

  1. Towards a standard methodology to evaluate internal cluster validity indices

    Pattern Recognition Letters, Vol. 32, Núm. 3, pp. 505-515

2010

  1. Consolidated trees versus bagging when explanation is required

    Computing (Vienna/New York), Vol. 89, Núm. 3-4, pp. 113-145

  2. Obtaining optimal class distribution for decision trees: Comparative analysis of CTC and C4.5

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. SEP/COP: An efficient method to find the best partition in hierarchical clustering based on a new cluster validity index

    Pattern Recognition, Vol. 43, Núm. 10, pp. 3364-3373

2009

  1. SIHC: A STABLE INCREMENTAL HIERARCHICAL CLUSTERING ALGORITHM

    ICEIS 2009 : PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS

  2. SIHC: A stable incremental hierarchical clustering algorithm

    ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings

2008

  1. Evaluation of Malware clustering based on its dynamic behaviour

    Conferences in Research and Practice in Information Technology Series, Vol. 87, pp. 163-170