| Synchronizing process variables in time for industrial process monitoring and control T Offermans, E Szymańska, LMC Buydens, JJ Jansen Computers & Chemical Engineering 140, 106938, 2020 | 17 | 2020 |
| Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data G van Kollenburg, R Bouman, T Offermans, J Gerretzen, L Buydens, ... Computers & Chemical Engineering 154, 107466, 2021 | 12 | 2021 |
| Automatically optimizing dynamic synchronization of individual industrial process variables for statistical modelling T Offermans, E Szymańska, GH van Kolllenburg, LMC Buydens, ... Computers & Chemical Engineering 152, 107402, 2021 | 8 | 2021 |
| Contextual mixture of experts: Integrating knowledge into predictive modeling F Souza, T Offermans, R Barendse, G Postma, J Jansen IEEE Transactions on Industrial Informatics, 2022 | 7 | 2022 |
| Retrospective quality by design r (QbD) for lactose production using historical process data and design of experiments L Galvis, T Offermans, CG Bertinetto, A Carnoli, E Karamujić, W Li, ... Computers in Industry 141, 103696, 2022 | 6 | 2022 |
| Improved understanding of industrial process relationships through conditional path modelling with process PLS T Offermans, L Hendriks, GH van Kollenburg, E Szymańska, ... Frontiers in Analytical Science 1, 721657, 2021 | 5 | 2021 |
| ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data T Offermans, TH Wijker, R Folcarelli, R Heemskerk, PP Lamers, ... Chemometrics and Intelligent Laboratory Systems 209, 104229, 2021 | 5 | 2021 |
| Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements M Cairoli, A van den Doel, B Postma, T Offermans, H Zemmelink, ... npj Clean Water 6 (1), 48, 2023 | 2 | 2023 |
| Process expert knowledge is essential in creating value from data-driven industrial soft sensors T Offermans, E Szymańska, FAA Souza, JJ Jansen Computers & Chemical Engineering 183, 108602, 2024 | | 2024 |
| Data-driven sensor delay estimation in industrial processes using multivariate projection methods T Offermans, B van Son, CG Bertinetto, A Bot, R Brussee, JJ Jansen Chemometrics and Intelligent Laboratory Systems, 105090, 2024 | | 2024 |
| Predicting Animal Welfare Labels from Pork Fat Using Raman Spectroscopy and Chemometrics KM Szykuła, T Offermans, O Lischtschenko, J Meurs, D Guenther, ... AppliedChem 3 (2), 279-289, 2023 | | 2023 |
| Batch Endpoint Prediction using Local Mixture of Batch Time Experts F Souza, T Offermans, J Jansen 2022 IEEE International Conference on Metrology for Extended Reality …, 2022 | | 2022 |
| Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements A van den Doel, M Cairoli, B Postma, T Offermans, H Zemmelink, ... | | 2022 |
| Making Waves: monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements A van den Doel, M Cairoli, B Postma, T Offermans, H Zemmelink, ... arXiv e-prints, arXiv: 2207.04805, 2022 | | 2022 |
| Retrospective quality by design r (QbD) for lactose production using historical process data and design of experiments L Galvis Rojas, T Offermans, CG Bertinetto, A Carnoli, E Karamujic, W Li, ... | | 2022 |
Jeroen JansenAssociate ProfessorVerified email at science.ru.nl
