Reducing the Number of Experimental Points to Fit Kinetic Models: A Bayesian Approach
Iapteff, Loïc, Jacques, Julien, Celse, Benoit, Costa, Victor
Published in Industrial & engineering chemistry research (19.07.2023)
Published in Industrial & engineering chemistry research (19.07.2023)
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Journal Article
Reducing the number of experiments required for modelling the hydrocracking process with kriging through Bayesian transfer learning
Iapteff, Loïc, Jacques, Julien, Rolland, Matthieu, Celse, Benoit
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.11.2021)
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.11.2021)
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Journal Article
Improving Model Robustness with Transfer Learning for Product Property Models
Becker, Per Julian, Iapteff, Loic, Celse, Benoit
Published in Computer Aided Chemical Engineering (01.01.2023)
Published in Computer Aided Chemical Engineering (01.01.2023)
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Journal Article