Publicaciones en colaboración con investigadores/as de Universidad Politécnica de Valencia (16)

2018

  1. MVBatch: A matlab toolbox for batch process modeling and monitoring

    Chemometrics and Intelligent Laboratory Systems, Vol. 183, pp. 122-133

2014

  1. Bilinear modeling of batch processes. Part III: Parameter stability

    Journal of Chemometrics, Vol. 28, Núm. 1, pp. 10-27

  2. Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical aspects

    Chemometrics and Intelligent Laboratory Systems, Vol. 131, pp. 37-50

2012

  1. Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Theoretical aspects

    Journal of Chemometrics, Vol. 26, Núm. 7, pp. 361-373

2010

  1. An application-case for derivative learning: Optimization in colour image filtering

    2010 IEEE Education Engineering Conference, EDUCON 2010

  2. Corrigendum to "The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?" [Anal. Chim. Acta Volume 642 (2009) 59-68] (DOI:10.1016/j.aca.2009.02.001)

    Analytica Chimica Acta

  3. Data understanding with PCA: Structural and Variance Information plots

    Chemometrics and Intelligent Laboratory Systems, Vol. 100, Núm. 1, pp. 48-56

2009

  1. The best approaches in the on-line monitoring of batch processes based on PCA: Does the modelling structure matter?

    Analytica Chimica Acta, Vol. 642, Núm. 1-2, pp. 59-68

2008

  1. Bilinear modelling of batch processes. Part I: Theoretical discussion

    Journal of Chemometrics, Vol. 22, Núm. 5, pp. 299-308

  2. Bilinear modelling of batch processes. Part II: A comparison of PLS soft-sensors

    Journal of Chemometrics, Vol. 22, Núm. 10, pp. 533-547

  3. Multi-phase analysis framework for handling batch process data

    Journal of Chemometrics

2007

  1. Self-tuning run to run optimization of fed-batch processes using unfold-PLS

    AIChE Journal, Vol. 53, Núm. 7, pp. 1789-1804

2006

  1. Efficient impulsive noise suppression based on statistical confidence limits

    Journal of Imaging Science and Technology, Vol. 50, Núm. 5, pp. 427-436

  2. Multi-phase principal component analysis for batch processes modelling

    Chemometrics and Intelligent Laboratory Systems, Vol. 81, Núm. 2, pp. 127-136

  3. Online monitoring of batch processes using multi-phase principal component analysis

    Journal of Process Control, Vol. 16, Núm. 10, pp. 1021-1035

2005

  1. Simulation of mobile robot applications with VirtualRobot

    3rd International Industrial Simulation Conference 2005, ISC 2005