Particle swarm optimization (PSO). A tutorial F Marini, B Walczak Chemometrics and Intelligent Laboratory Systems 149, 153-165, 2015 | 1409 | 2015 |
Rough sets theory B Walczak, DL Massart Chemometrics and intelligent laboratory systems 47 (1), 1-16, 1999 | 529 | 1999 |
Comprehensive chemometrics: chemical and biochemical data analysis S Brown, R Tauler, B Walczak Elsevier, 2020 | 491 | 2020 |
Robust statistics in data analysis—A review: Basic concepts M Daszykowski, K Kaczmarek, Y Vander Heyden, B Walczak Chemometrics and intelligent laboratory systems 85 (2), 203-219, 2007 | 470 | 2007 |
Representative subset selection M Daszykowski, B Walczak, DL Massart Analytica chimica acta 468 (1), 91-103, 2002 | 370 | 2002 |
Looking for natural patterns in data: Part 1. Density-based approach M Daszykowski, B Walczak, DL Massart Chemometrics and Intelligent laboratory systems 56 (2), 83-92, 2001 | 341 | 2001 |
Noise suppression and signal compression using the wavelet packet transform B Walczak, DL Massart Chemometrics and Intelligent Laboratory Systems 36 (2), 81-94, 1997 | 315 | 1997 |
Wavelets in chemistry B Walczak Elsevier, 2000 | 295 | 2000 |
Comparison of regularized discriminant analysis linear discriminant analysis and quadratic discriminant analysis applied to NIR data W Wu, Y Mallet, B Walczak, W Penninckx, DL Massart, S Heuerding, ... Analytica Chimica Acta 329 (3), 257-265, 1996 | 291 | 1996 |
Artificial neural networks in classification of NIR spectral data: design of the training set W Wu, B Walczak, DL Massart, S Heuerding, F Erni, IR Last, KA Prebble Chemometrics and intelligent laboratory systems 33 (1), 35-46, 1996 | 274 | 1996 |
A comparison of two algorithms for warping of analytical signals V Pravdova, B Walczak, DL Massart Analytica Chimica Acta 456 (1), 77-92, 2002 | 269 | 2002 |
Dealing with missing data: Part I B Walczak, DL Massart Chemometrics and Intelligent Laboratory Systems 58 (1), 15-27, 2001 | 269 | 2001 |
The radial basis functions—partial least squares approach as a flexible non-linear regression technique B Walczak, DL Massart Analytica Chimica Acta 331 (3), 177-185, 1996 | 252 | 1996 |
TOMCAT: A MATLAB toolbox for multivariate calibration techniques M Daszykowski, S Serneels, K Kaczmarek, P Van Espen, C Croux, ... Chemometrics and intelligent laboratory systems 85 (2), 269-277, 2007 | 238 | 2007 |
Raman spectroscopy as a process analytical technology (PAT) tool for the in-line monitoring and understanding of a powder blending process TRM De Beer, C Bodson, B Dejaegher, B Walczak, P Vercruysse, ... Journal of pharmaceutical and biomedical analysis 48 (3), 772-779, 2008 | 201 | 2008 |
Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques I Stanimirova, B Üstün, T Cajka, K Riddelova, J Hajslova, LMC Buydens, ... Food Chemistry 118 (1), 171-176, 2010 | 195 | 2010 |
Optimization of signal denoising in discrete wavelet transform L Pasti, B Walczak, DL Massart, P Reschiglian Chemometrics and intelligent laboratory systems 48 (1), 21-34, 1999 | 190 | 1999 |
The use of CART and multivariate regression trees for supervised and unsupervised feature selection F Questier, R Put, D Coomans, B Walczak, Y Vander Heyden Chemometrics and Intelligent Laboratory Systems 76 (1), 45-54, 2005 | 166 | 2005 |
Chemometrics in analytical chemistry—part I: history, experimental design and data analysis tools RG Brereton, J Jansen, J Lopes, F Marini, A Pomerantsev, O Rodionova, ... Analytical and Bioanalytical Chemistry 409, 5891-5899, 2017 | 163 | 2017 |
Dealing with missing values and outliers in principal component analysis I Stanimirova, M Daszykowski, B Walczak Talanta 72 (1), 172-178, 2007 | 162 | 2007 |