Publicaciones en colaboración con investigadores/as de Johannes Kepler University of Linz (13)

2023

  1. Spectrum-based feature localization for families of systems

    Journal of Systems and Software, Vol. 195

2021

  1. Spectrum-based feature localization: A case study using ArgoUML

    ACM International Conference Proceeding Series

2018

  1. Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptation

    Analytica Chimica Acta, Vol. 1013, pp. 1-12

2017

  1. Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectra

    Analytical and Bioanalytical Chemistry, Vol. 409, Núm. 3, pp. 841-857

2015

  1. Generalized smart evolving fuzzy systems

    Evolving Systems, Vol. 6, Núm. 4, pp. 269-292

2014

  1. Enhanced genetic operators design for waveband selection in multivariate calibration based on NIR spectroscopy

    Journal of Chemometrics, Vol. 28, Núm. 2, pp. 123-136

  2. Incremental and decremental active learning for optimized self-adaptive calibration in viscose production

    Chemometrics and Intelligent Laboratory Systems, Vol. 138, pp. 14-29

2013

  1. Ensembled self-adaptive fuzzy calibration models for on-line cloud point prediction

    8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research

  2. Generalized flexible fuzzy inference systems

    Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013

  3. Hybrid adaptive calibration methods and ensemble strategy for prediction of cloud point in melamine resin production

    Chemometrics and Intelligent Laboratory Systems, Vol. 126, pp. 60-75

2012

  1. Dynamic quantification of process parameters in viscose production with evolving fuzzy systems

    Communications in Computer and Information Science

  2. Evolving chemometric models for predicting dynamic process parameters in viscose production

    Analytica Chimica Acta, Vol. 725, pp. 22-38

2011

  1. NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems

    Chemometrics and Intelligent Laboratory Systems, Vol. 109, Núm. 1, pp. 22-33