Analysis of longitudinal metabolomics data. - Jeroen J. Jansen; Huub C. J. Hoefsloot; Hans F. M. Boelens; Jan van der Greef; Age K. Smilde (Bioinform., 2004)

ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data. - Age K. Smilde; Jeroen J. Jansen; Huub C. J. Hoefsloot; Robert-Jan A. N. Lamers; Jan van der Greef; Marieke E. Timmerman (Bioinform., 2005)

Crossfit analysis: a novel method to characterize the dynamics of induced plant responses. - Jeroen J. Jansen; Nicole M. van Dam; Huub C. J. Hoefsloot; Age K. Smilde (BMC Bioinform., 2009)

Generic framework for high-dimensional fixed-effects ANOVA. - Age K. Smilde; Marieke E. Timmerman; Margriet M. W. B. Hendriks; Jeroen J. Jansen; Huub C. J. Hoefsloot (Briefings Bioinform., 2012)

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)

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)

Fusion of Mid-Wave Infrared and Long-Wave Infrared Reflectance Spectra for Quantitative Analysis of Minerals. - Feven Desta; Mike Buxton; Jeroen J. Jansen (Sensors, 2020)

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)

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)

Batch Endpoint Prediction using Local Mixture of Batch Time Experts. - Francisco Souza 001; Tim Offermans; Jeroen J. Jansen (MetroXRAINE, 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)

Systematic reduction of Hyperspectral Images for high-throughput Plastic Characterization. - Mahdiyeh Ghaffari; Mickey C. J. Lukkien; Nematollah Omidikia; Gerjen H. Tinnevelt; Marcel C. P. van Eijk; Jeroen J. Jansen (CoRR, 2023)

Mono/Multi-material Characterization Using Hyperspectral Images and Multi-Block Non-Negative Matrix Factorization. - Mahdiyeh Ghaffari; Gerjen H. Tinnevelt; Marcel C. P. van Eijk; Stanislav Podchezertsev; Geert J. Postma; Jeroen J. Jansen (CoRR, 2023)

Contextual Mixture of Experts: Integrating Knowledge into Predictive Modeling. - Francisco Souza 001; Tim Offermans; Ruud Barendse; Geert J. Postma; Jeroen J. Jansen (IEEE Trans. Ind. Informatics, 2023)

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)

Combinatorial Order Pre-processing Search (COPS): A new pre-processing strategy for large-scale interpretable data analysis in process analytical technologies. - Wilson Cardoso; Jussara V. Roque; Jeroen J. Jansen; Sin Yong Teng; Reinaldo F. Teófilo (Comput. Chem. Eng., 2025)

Integrating Expert and Physics Knowledge for Modeling Heat Load in District Heating Systems. - Francisco Souza 001; Thom S. Badings; Geert J. Postma; Jeroen J. Jansen (IEEE Trans. Ind. Informatics, 2025)