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Tim Offermans
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2020 – today
- 2024
- [j6]Tim Offermans, Ewa Szymanska, Francisco Alexandre A. Souza, Jeroen J. Jansen:
Process expert knowledge is essential in creating value from data-driven industrial soft sensors. Comput. Chem. Eng. 183: 108602 (2024) - 2023
- [j5]Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen:
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. IEEE Trans. Ind. Informatics 19(8): 9048-9059 (2023) - 2022
- [j4]Leonardo Galvis, Tim Offermans, Carlo G. Bertinetto, Andrea Carnoli, Emina Karamujic, Weiwei Li, Ewa Szymanska, Lutgarde M. C. Buydens, Jeroen J. Jansen:
Retrospective quality by design r(QbD) for lactose production using historical process data and design of experiments. Comput. Ind. 141: 103696 (2022) - [c1]Francisco Souza, Tim Offermans, Jeroen J. Jansen:
Batch Endpoint Prediction using Local Mixture of Batch Time Experts. MetroXRAINE 2022: 613-617 - [i1]Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen:
Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. CoRR abs/2211.00558 (2022) - 2021
- [j3]Tim Offermans, Ewa Szymanska, Geert H. van Kollenburg, Lutgarde M. C. Buydens, Jeroen J. Jansen:
Automatically optimizing dynamic synchronization of individual industrial process variables for statistical modelling. Comput. Chem. Eng. 152: 107402 (2021) - [j2]Geert H. van Kollenburg, Roel Bouman, Tim Offermans, Jan Gerretzen, Lutgarde M. C. Buydens, Henk-Jan van Manen, Jeroen J. Jansen:
Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data. Comput. Chem. Eng. 154: 107466 (2021) - 2020
- [j1]Tim Offermans, Ewa Szymanska, Lutgarde M. C. Buydens, Jeroen J. Jansen:
Synchronizing process variables in time for industrial process monitoring and control. Comput. Chem. Eng. 140: 106938 (2020)
Coauthor Index
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