Universidad de Valladolid-ko ikertzaileekin lankidetzan egindako argitalpenak (23)

2015

  1. Stacking for multivariate time series classification

    Pattern Analysis and Applications, Vol. 18, Núm. 2, pp. 297-312

2010

  1. Ensemble methods and model based diagnosis using possible conflicts and system decomposition

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

2008

  1. Multivariate time series classification via stacking of univariate classifiers

    Studies in Computational Intelligence

2007

  1. Focusing fault localization in model-based diagnosis with case-based reasoning

    2007 European Control Conference, ECC 2007

  2. Stacking dynamic time warping for the diagnosis of dynamic systems

    Current Topics in Artificial Intelligence: 12th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2007, Salamanca, Spain, November 12-16, 2007

  3. Stacking dynamic time warping for the diagnosis of dynamic systems

    XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas

2006

  1. Early fault classification in dynamic systems using case-based reasoning

    Current Topics in Artificial Intelligence: 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005

  2. Rotation forest: A New classifier ensemble method

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, Núm. 10, pp. 1619-1630

2005

  1. Bias and variance of rotation-based ensembles

    Lecture Notes in Computer Science

  2. Diagnosis of continuous dynamic systems: Integrating consistency based diagnosis with machine-learning techniques

    IFAC Proceedings Volumes (IFAC-PapersOnline)

  3. Error de posición en Clasificadores Bayesianos para la Clasificación de Series Temporales

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 243-250

  4. Métodos de Combinación de Clasificadores sobre Máquinas de Vectores Soporte

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 185-192

  5. Redes bayesianas en la clasificación de series temporales

    VII Jornadas de ARCA.: Sistemas cualitativos y diagnosis

  6. Support vector machines of interval-based features for time series classification

    Knowledge-Based Systems

  7. Un sistema de razonamiento basado en casos para la clasificación de fallos en sistemas dinámicos

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 203-211

2004

  1. An Empirical Comparison of Boosting Methods via OAIDTB,an Extensible Java Class Library

    NTIT : New trends on information technology (Departamento de Informática), pp. 189-200

  2. Enhancing consistency based diagnosis with machine learning techniques

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

  3. Feature Construction by Boosting

    NTIT : New trends on information technology (Departamento de Informática), pp. 201-210

  4. Interval and dynamic time warping-based decision trees

    SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

  5. Rotation-based ensembles

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