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Carlos Cernuda

Showing results (1-10 of 6) with videos related to

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Analytical and Bioanalytical Chemistry|August 22, 2016
Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectraCarlos Cernuda, Edwin Lughofer, Helmut Klein, et al.
Analytica Chimica Acta|March 5, 2018
Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptationRamin Nikzad-Langerodi, Edwin Lughofer, Carlos Cernuda, et al.
Analytica Chimica Acta|April 17, 2012
Evolving chemometric models for predicting dynamic process parameters in viscose productionCarlos Cernuda, Edwin Lughofer, Lisbeth Suppan, et al.
Revista De Psiquiatria Y Salud Mental|October 22, 2022
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world dataJavier Mar, Ania Gorostiza, Arantzazu Arrospide, et al.
Journal of Alzheimer'S Disease : JAD|August 4, 2020
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World DataJavier Mar, Ania Gorostiza, Oliver Ibarrondo, et al.
Revista De Psiquiatria Y Salud Mental|March 28, 2021
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world dataJavier Mar, Ania Gorostiza, Arantzazu Arrospide, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Analytical and Bioanalytical Chemistry|August 22, 2016
Improved quantification of important beer quality parameters based on nonlinear calibration methods applied to FT-MIR spectraCarlos Cernuda, Edwin Lughofer, Helmut Klein, et al.
Analytica Chimica Acta|March 5, 2018
Calibration model maintenance in melamine resin production: Integrating drift detection, smart sample selection and model adaptationRamin Nikzad-Langerodi, Edwin Lughofer, Carlos Cernuda, et al.
Analytica Chimica Acta|April 17, 2012
Evolving chemometric models for predicting dynamic process parameters in viscose productionCarlos Cernuda, Edwin Lughofer, Lisbeth Suppan, et al.
Revista De Psiquiatria Y Salud Mental|October 22, 2022
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world dataJavier Mar, Ania Gorostiza, Arantzazu Arrospide, et al.
Journal of Alzheimer'S Disease : JAD|August 4, 2020
Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World DataJavier Mar, Ania Gorostiza, Oliver Ibarrondo, et al.
Revista De Psiquiatria Y Salud Mental|March 28, 2021
Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world dataJavier Mar, Ania Gorostiza, Arantzazu Arrospide, et al.
Pageof 1