1EPS Inteligencia Artificial-IA
Área
Johannes Kepler University of Linz
Linz, AustriaPublicacións en colaboración con investigadores/as de Johannes Kepler University of Linz (11)
2018
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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
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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
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Generalized smart evolving fuzzy systems
Evolving Systems, Vol. 6, Núm. 4, pp. 269-292
2014
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Enhanced genetic operators design for waveband selection in multivariate calibration based on NIR spectroscopy
Journal of Chemometrics, Vol. 28, Núm. 2, pp. 123-136
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Incremental and decremental active learning for optimized self-adaptive calibration in viscose production
Chemometrics and Intelligent Laboratory Systems, Vol. 138, pp. 14-29
2013
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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
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Generalized flexible fuzzy inference systems
Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013
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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
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Dynamic quantification of process parameters in viscose production with evolving fuzzy systems
Communications in Computer and Information Science
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Evolving chemometric models for predicting dynamic process parameters in viscose production
Analytica Chimica Acta, Vol. 725, pp. 22-38
2011
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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