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ORCIDGeert H. van Kollenburg
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2020 – today
- 2024
[c3]Gizem Karagoz, Geert H. van Kollenburg
, Tanir Ozcelebi, Nirvana Meratnia:
Evaluating How Explainable AI Is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics. TAI4H 2024: 92-108- 2023
- [c2]Geert H. van Kollenburg, Richard Verhoeven, Mike Holenderski, Nirvana Meratnia, Daniele Pagano:
Modeling Multivariate Relations in Multiblock Semiconductor Manufacturing Data Using Process PLS To Enhance Process Understanding. WSC 2023: 2333-2344 - 2021
- [j4]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) - [j3]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) - [c1]Geert H. van Kollenburg, Mike Holenderski, Patrizia Vasquez, Nirvana Meratnia:
Predictive discarding of wafers based on power leakage predictions from single layer misalignment data. ISM 2021: 1508-1515 - 2020
- [j2]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:
Understanding chemical production processes by using PLS path model parameters as soft sensors. Comput. Chem. Eng. 139: 106841 (2020)
2010 – 2019
- 2013
- [j1]Daniel L. Oberski, Geert H. van Kollenburg, Jeroen K. Vermunt:
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. Adv. Data Anal. Classif. 7(3): 267-279 (2013)
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