Geert H. van Kollenburg

According to our database, Geert H. van Kollenburg authored at least 7 papers between 2013 and 2024.

Collaborative distances:

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

2024

Evaluating How Explainable AI Is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics.

Gizem Karagoz, Geert H. van Kollenburg, Tanir Ozcelebi, Nirvana Meratnia

Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

2023

Modeling Multivariate Relations in Multiblock Semiconductor Manufacturing Data Using Process PLS To Enhance Process Understanding.

Geert H. van Kollenburg, Richard Verhoeven, Mike Holenderski, Nirvana Meratnia, Daniele Pagano

Proceedings of the Winter Simulation Conference, 2023

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

Predictive discarding of wafers based on power leakage predictions from single layer misalignment data.

Geert H. van Kollenburg, Mike Holenderski, Patrizia Vasquez, Nirvana Meratnia

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

2020

Understanding chemical production processes by using PLS path model parameters as soft sensors.

Geert H. van Kollenburg, Jacoline van Es, Jan Gerretzen, Heleen Lanters, Roel Bouman, Willem Koelewijn, Anthony N. Davies, Lutgarde M. C. Buydens, Henk-Jan van Manen, Jeroen J. Jansen

Comput. Chem. Eng., 2020

2013

A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models.

Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt

Adv. Data Anal. Classif., 2013