Lutgarde M. C. Buydens

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 7

Top Topics

Industrial Process

Hyperspectral Images

Production Processes

Top Venues

Comput. Chem. Eng.

IEEE J. Biomed. Health Informatics

Publications

Leonardo Galvis, Tim Offermans, Carlo G. Bertinetto, Andrea Carnoli, Emina Karamujic, Weiwei Li, Ewa Szymanska, Lutgarde M. C. Buydens, Jeroen J. Jansen
Retrospective quality by design r(QbD) for lactose production using historical process data and design of experiments. Comput. Ind. 141 (2022)
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 (2021)
Tim Offermans, Ewa Szymanska, Geert H. van Kolllenburg, Lutgarde M. C. Buydens, Jeroen J. Jansen
Automatically optimizing dynamic synchronization of individual industrial process variables for statistical modelling. Comput. Chem. Eng. 152 (2021)
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 (2020)
Tim Offermans, Ewa Szymanska, Lutgarde M. C. Buydens, Jeroen J. Jansen
Synchronizing process variables in time for industrial process monitoring and control. Comput. Chem. Eng. 140 (2020)
Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven
Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting. Remote. Sens. 10 (7) (2018)
Jacopo Acquarelli, Elena Marchiori, Lutgarde M. C. Buydens, Thanh N. Tran, Twan van Laarhoven
Convolutional Neural Networks and Data Augmentation for Spectral-Spatial Classification of Hyperspectral Images. CoRR (2017)
Michail G. Kounelakis, Michalis E. Zervakis, George C. Giakos, Geert J. Postma, Lutgarde M. C. Buydens, X. Kotsiakis
On the Relevance of Glycolysis Process on Brain Gliomas. IEEE J. Biomed. Health Informatics 17 (1) (2013)
Lionel Blanchet, Agnieszka Smolinska, Amos Attali, Marcel P. Stoop, Kirsten A. M. Ampt, Hans van Aken, Ernst Suidgeest, Tinka Tuinstra, Sybren S. Wijmenga, Theo Luider, Lutgarde M. C. Buydens
Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis. BMC Bioinform. 12 (2011)
Geert J. Postma, Jan Luts, Albert J. Idema, Margarida Julià-Sapé, Àngel Moreno-Torres, Witek Gajewicz, Johan A. K. Suykens, Arend Heerschap, Sabine Van Huffel, Lutgarde M. C. Buydens
On the relevance of automatically selected single-voxel MRS and multimodal MRI and MRSI features for brain tumour differentiation. Comput. Biol. Medicine 41 (2) (2011)
Jorn R. de Haan, Ester Piek, René C. van Schaik, Jacob de Vlieg, Susanne Bauerschmidt, Lutgarde M. C. Buydens, Ron Wehrens
Integrating gene expression and GO classification for PCA by preclustering. BMC Bioinform. 11 (2010)
Michail G. Kounelakis, Michalis E. Zervakis, Michalis E. Blazadonakis, Geert J. Postma, Lutgarde M. C. Buydens, Arend Heerschap, X. Kotsiakis
Identification of significant metabolic markers from MRSI data for brain cancer classification. BIBE (2008)
Jorn R. de Haan, Ron Wehrens, Susanne Bauerschmidt, Ester Piek, René C. van Schaik, Lutgarde M. C. Buydens
Interpretation of ANOVA models for microarray data using PCA. Bioinform. 23 (2) (2007)
Thanh N. Tran, Ron Wehrens, Lutgarde M. C. Buydens
KNN-kernel density-based clustering for high-dimensional multivariate data. Comput. Stat. Data Anal. 51 (2) (2006)
Egon L. Willighagen, H. M. G. W. Denissen, Ron Wehrens, Lutgarde M. C. Buydens
C 1D NMR Spectra as QSPR Descriptors. J. Chem. Inf. Model. 46 (2) (2006)
Thanh N. Tran, Ron Wehrens, Dirk H. Hoekman, Lutgarde M. C. Buydens
Initialization of Markov random field clustering of large remote sensing images. IEEE Trans. Geosci. Remote. Sens. 43 (8) (2005)
Ron Wehrens, Lutgarde M. C. Buydens, Chris Fraley, Adrian E. Raftery
Model-Based Clustering for Image Segmentation and Large Datasets via Sampling. J. Classif. 21 (2) (2004)
Thanh N. Tran, Ron Wehrens, Lutgarde M. C. Buydens, Dirk H. Hoekman
Initialization of Markov Random Field clustering of large polarimetric SAR images. IGARSS (2004)
Jos A. Hageman, Ron Wehrens, René de Gelder, Lutgarde M. C. Buydens
Powder pattern indexing using the weighted crosscorrelation and genetic algorithms. J. Comput. Chem. 24 (9) (2003)
A. W. Simonetti, Ron Wehrens, Lutgarde M. C. Buydens
Segmentation of Chemical Shift Images with Mixture Modeling. MICCAI (2001)
Theo H. Reijmers, Ron Wehrens, Lutgarde M. C. Buydens
The Influence of Different Structure Representations on the Clustering of an RNA Nucleotides Data Set. J. Chem. Inf. Comput. Sci. 41 (5) (2001)
Jos A. Hageman, Ron Wehrens, René de Gelder, W. L. Meerts, Lutgarde M. C. Buydens
Fitting Fluorescence Spectra with Genetic Algorithms. PPSN (2000)
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde M. C. Buydens
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation. ICPR (2000)
Theo H. Reijmers, Ron Wehrens, Lutgarde M. C. Buydens
Quality criteria of genetic algorithms for construction of phylogenetic trees. J. Comput. Chem. 20 (8) (1999)
Ron Wehrens, Ernö Pretsch, Lutgarde M. C. Buydens
Quality Criteria of Genetic Algorithms for Structure Optimization. J. Chem. Inf. Comput. Sci. 38 (2) (1998)
Mischa L. M. Beckers, Willem J. Melssen, Lutgarde M. C. Buydens
Predicting nucleic acid torsion angle values using artificial neural networks. J. Comput. Aided Mol. Des. 12 (1) (1998)
Mischa L. M. Beckers, Lutgarde M. C. Buydens
Multivariate analysis of a data matrix containing A-DNA and B-DNA dinucleoside monophosphate steps: Multidimensional Ramachandran plots for nucleic acids. J. Comput. Chem. 19 (7) (1998)
Mischa L. M. Beckers, Willem J. Melssen, Lutgarde M. C. Buydens
A Self-organizing Feature Map for Clustering Nucleic Acids Application to a Data Matrix Containing A-DNA and B-DNA Dinucleotides. Comput. Chem. 21 (6) (1997)
Antoine H. C. van Kampen, Mischa L. M. Beckers, Lutgarde M. C. Buydens
A Comparative Study of the DG-OMEGA (DG), DGII, and GAT Method for the Structure Elucidation of a Methylene-acetal Linked Thymine Dinucleotide. Comput. Chem. 21 (5) (1997)
Antoine H. C. van Kampen, Lutgarde M. C. Buydens
Reinvestigation of a Genetic-based Classifier System: The Effectiveness of Recombination. Comput. Chem. 21 (3) (1997)
Daniel M. C. Domine, James Devillers, Dietrich Wienke, Lutgarde M. C. Buydens
ART 2-A for Optimal Test Series Design in QSAR. J. Chem. Inf. Comput. Sci. 37 (1) (1997)
Willem J. Melssen, Eduard P. P. A. Derks, Mischa L. M. Beckers, Lutgarde M. C. Buydens
Parallel Processing of Chemical Information in a Local Area Network - II. a Parallel Cross-validation Procedure for Artificial Neural Networks. Comput. Chem. 20 (4) (1996)
Willem J. Melssen, Eduard P. P. A. Derks, Mischa L. M. Beckers, Lutgarde M. C. Buydens
Parallel Processing of Chemical Information in a Local Area Network - III. Using Genetic Algorithms for Conformational Analysis of Biomacromolecules. Comput. Chem. 20 (4) (1996)
Willem J. Melssen, Eduard P. P. A. Derks, Mischa L. M. Beckers, Lutgarde M. C. Buydens
Parallel Processing of Chemical Information in a Local Area Network - I. Hydra: Concept, Configuration, and Implementation of Parallel Applications. Comput. Chem. 20 (4) (1996)
Eduard P. P. A. Derks, Willem J. Melssen, Lutgarde M. C. Buydens
Parallel Cross-Validation of Artificial Neural Networks. SNN Symposium on Neural Networks (1995)
Ron Wehrens, Carlos B. Lucasius, Lutgarde M. C. Buydens, Gerrit Kateman
Sequential assignment of 2D-NMR spectra of proteins using genetic algorithms. J. Chem. Inf. Comput. Sci. 33 (2) (1993)