Handbook of chemometrics and qualimetrics Part A DL Massart, BGM Vandeginste, LMC Buydens, S De Jong, ... Elsevier Science, 1997 | 3928* | 1997 |
Handbook of chemometrics and qualimetrics Part B BGM Vandeginste, DL Massart, LMC Buydens, S De Jong, ... Elsevier Science, 1998 | 1418* | 1998 |
Self-and super-organizing maps in R: the Kohonen package R Wehrens, LMC Buydens Journal of Statistical Software 21, 1-19, 2007 | 878 | 2007 |
The bootstrap: a tutorial R Wehrens, H Putter, LMC Buydens Chemometrics and intelligent laboratory systems 54 (1), 35-52, 2000 | 649 | 2000 |
Using support vector machines for time series prediction U Thissen, R Van Brakel, AP De Weijer, WJ Melssen, LMC Buydens Chemometrics and intelligent laboratory systems 69 (1-2), 35-49, 2003 | 614 | 2003 |
Breaking with trends in pre-processing? J Engel, J Gerretzen, E Szymańska, JJ Jansen, G Downey, L Blanchet, ... TrAC Trends in Analytical Chemistry 50, 96-106, 2013 | 540 | 2013 |
Comprehensive chemometrics: chemical and biochemical data analysis R Tauler, B Walczak, L Brown, Steven D, eds. Buydens Elsevier, 2009 | 510* | 2009 |
NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review A Smolinska, L Blanchet, LMC Buydens, SS Wijmenga Analytica chimica acta 750, 82-97, 2012 | 487 | 2012 |
Comparing support vector machines to PLS for spectral regression applications U Thissen, M Pepers, B Üstün, WJ Melssen, LMC Buydens Chemometrics and Intelligent Laboratory Systems 73 (2), 169-179, 2004 | 428 | 2004 |
Triple-negative breast cancer: present challenges and new perspectives F Podo, LMC Buydens, H Degani, R Hilhorst, E Klipp, IS Gribbestad, ... Molecular oncology 4 (3), 209-229, 2010 | 406 | 2010 |
Facilitating the application of support vector regression by using a universal Pearson VII function based kernel B Üstün, WJ Melssen, LMC Buydens Chemometrics and Intelligent Laboratory Systems 81 (1), 29-40, 2006 | 390 | 2006 |
Convolutional neural networks for vibrational spectroscopic data analysis J Acquarelli, T van Laarhoven, J Gerretzen, TN Tran, LMC Buydens, ... Analytica chimica acta 954, 22-31, 2017 | 388 | 2017 |
Possibilities of visible–near-infrared spectroscopy for the assessment of soil contamination in river floodplains L Kooistra, R Wehrens, R Leuven, LMC Buydens Analytica chimica acta 446 (1-2), 97-105, 2001 | 354 | 2001 |
Quality control in analytical chemistry G Kateman, L Buydens John Wiley & Sons, 1993 | 315 | 1993 |
Supervised Kohonen networks for classification problems W Melssen, R Wehrens, L Buydens Chemometrics and Intelligent Laboratory Systems 83 (2), 99-113, 2006 | 281 | 2006 |
Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization B Üstün, WJ Melssen, M Oudenhuijzen, LMC Buydens Analytica Chimica Acta 544 (1-2), 292-305, 2005 | 231 | 2005 |
Using artificial neural networks for solving chemical problems: Part I. Multi-layer feed-forward networks JRM Smits, WJ Melssen, LMC Buydens, G Kateman Chemometrics and Intelligent Laboratory Systems 22 (2), 165-189, 1994 | 228 | 1994 |
Interpretation of variable importance in partial least squares with significance multivariate correlation (sMC) TN Tran, NL Afanador, LMC Buydens, L Blanchet Chemometrics and Intelligent Laboratory Systems 138, 153-160, 2014 | 227 | 2014 |
Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains L Kooistra, EAL Salas, J Clevers, R Wehrens, R Leuven, PH Nienhuis, ... Environmental Pollution 127 (2), 281-290, 2004 | 221 | 2004 |
Multivariate calibration with least-squares support vector machines U Thissen, B Üstün, WJ Melssen, LMC Buydens Analytical chemistry 76 (11), 3099-3105, 2004 | 219 | 2004 |