Tim Offermans

According to our database, Tim Offermans authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Process expert knowledge is essential in creating value from data-driven industrial soft sensors.

Tim Offermans, Ewa Szymanska, Francisco Alexandre A. Souza, Jeroen J. Jansen

Comput. Chem. Eng., 2024

2023

Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling.

Francisco Souza, Tim Offermans, Ruud Barendse, Geert J. Postma, Jeroen J. Jansen

IEEE Trans. Ind. Informatics, August, 2023

2022

Retrospective quality by design r(QbD) for lactose production using historical process data and design of experiments.

Leonardo Galvis, Tim Offermans, Carlo G. Bertinetto, Andrea Carnoli, Emina Karamujic, Weiwei Li, Ewa Szymanska, Lutgarde M. C. Buydens, Jeroen J. Jansen

Comput. Ind., 2022

Batch Endpoint Prediction using Local Mixture of Batch Time Experts.

Francisco Souza, Tim Offermans, Jeroen J. Jansen

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2021

Automatically optimizing dynamic synchronization of individual industrial process variables for statistical modelling.

Tim Offermans, Ewa Szymanska, Geert H. van Kollenburg, Lutgarde M. C. Buydens, Jeroen J. Jansen

Comput. Chem. Eng., 2021

Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data.

Geert H. van Kollenburg, Roel Bouman, Tim Offermans, Jan Gerretzen, Lutgarde M. C. Buydens, Henk-Jan van Manen, Jeroen J. Jansen

Comput. Chem. Eng., 2021

2020

Synchronizing process variables in time for industrial process monitoring and control.

Tim Offermans, Ewa Szymanska, Lutgarde M. C. Buydens, Jeroen J. Jansen

Comput. Chem. Eng., 2020