Multivariate calibration H Martens, T Naes John Wiley & Sons, 1992 | 9082 | 1992 |
Linearization and scatter-correction for near-infrared reflectance spectra of meat P Geladi, D MacDougall, H Martens Applied spectroscopy 39 (3), 491-500, 1985 | 1791 | 1985 |
The multivariate calibration problem in chemistry solved by the PLS method S Wold, H Martens, H Wold Matrix Pencils: Proceedings of a Conference Held at Pite Havsbad, Sweden …, 2006 | 1510 | 2006 |
Multivariate analysis of quality. An introduction H Martens, M Martens Measurement Science and Technology 12 (10), 1746-1746, 2001 | 1001 | 2001 |
Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR) H Martens, M Martens Food quality and preference 11 (1-2), 5-16, 2000 | 870 | 2000 |
Light scattering and light absorbance separated by extended multiplicative signal correction. Application to near-infrared transmission analysis of powder mixtures H Martens, JP Nielsen, SB Engelsen Analytical Chemistry 75 (3), 394-404, 2003 | 602 | 2003 |
Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy H Martens, E Stark Journal of pharmaceutical and biomedical analysis 9 (8), 625-635, 1991 | 576 | 1991 |
Resonant Mie scattering (RMieS) correction of infrared spectra from highly scattering biological samples P Bassan, A Kohler, H Martens, J Lee, HJ Byrne, P Dumas, E Gazi, ... Analyst 135 (2), 268-277, 2010 | 438 | 2010 |
Validation and verification of regression in small data sets HA Martens, P Dardenne Chemometrics and intelligent laboratory systems 44 (1-2), 99-121, 1998 | 431 | 1998 |
Multiplicative signal correction method and apparatus EW Stark, H Martens US Patent 5,568,400, 1996 | 333 | 1996 |
Texture and colour changes in meat during cooking related to thermal denaturation of muscle proteins1 H Martens, E Stabursvik, M Martens Journal of Texture studies 13 (3), 291-309, 1982 | 333 | 1982 |
A multivariate calibration problem in analytical chemistry solved by partial least-squares models in latent variables M Sjöström, S Wold, W Lindberg, JÅ Persson, H Martens Analytica Chimica Acta 150, 61-70, 1983 | 332 | 1983 |
Multivariate calibration by data compression H Martens Near-infrared technology in the agricultural and food industries, 57-87, 1987 | 324 | 1987 |
Variable selection in near infrared spectroscopy based on significance testing in partial least squares regression F Westad, H Martens Journal of Near Infrared Spectroscopy 8 (2), 117-124, 2000 | 315 | 2000 |
Partial least squares regression (PLSR) H Martens Multivariate calibration, 116-125, 1993 | 314 | 1993 |
Principal component regression in NIR analysis: viewpoints, background details and selection of components T Næs, H Martens Journal of chemometrics 2 (2), 155-167, 1988 | 293 | 1988 |
Thermal denaturation of proteins in Post rigor muscle tissue as studied by differential scanning calorimetry E Stabursvik, H Martens Journal of the Science of Food and Agriculture 31 (10), 1034-1042, 1980 | 254 | 1980 |
Recursive algorithm for partial least squares regression K Helland, HE Berntsen, OS Borgen, H Martens Chemometrics and intelligent laboratory systems 14 (1-3), 129-137, 1992 | 250 | 1992 |
150 years of the mass action law EO Voit, HA Martens, SW Omholt PLoS computational biology 11 (1), e1004012, 2015 | 234 | 2015 |
Reducing over-optimism in variable selection by cross-model validation E Anderssen, K Dyrstad, F Westad, H Martens Chemometrics and intelligent laboratory systems 84 (1-2), 69-74, 2006 | 224 | 2006 |