B. Üstün

发表

Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel

L. Buydens, W. Melssen, B. Üstün, 2006 .

Comparing support vector machines to PLS for spectral regression applications

L. Buydens, W. Melssen, U. Thissen, 2004 .

Geographical classification of olive oils by the application of CART and SVM to their FT‐IR

Y. Heyden, L. Buydens, G. Downey, 2007 .

Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization

L. Buydens, W. Melssen, B. Üstün, 2005 .

A Comparison of Support Vector Machines and Partial Least Squares regression on spectral data

B. Üstün, Bülent Üstün, 2003 .

Extended Physicochemical Characterization of the Synthetic Anticoagulant Pentasaccharide Fondaparinux Sodium by Quantitative NMR and Single Crystal X-ray Analysis

B. Üstün, F. Kaspersen, H. Kooijman, 2017, Molecules.

Quantification of chondroitin sulfate and dermatan sulfate in danaparoid sodium by 1H NMR spectroscopy and PLS regression

B. Üstün, E. Kellenbach, K. Sanders, 2011, Analytical and bioanalytical chemistry.

SOMPLS: A supervised self-organising map--partial least squares algorithm for multivariate regression problems

Lutgarde M. C. Buydens, Willem J. Melssen, B. Üstün, 2007 .

Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques

Beata Walczak, Lutgarde M. C. Buydens, I. Stanimirova, 2010 .

Visualisation and interpretation of Support Vector Regression models.

L. Buydens, W. Melssen, B. Ustün, 2007, Analytica chimica acta.

Optimisation of Support Vector Regression Parameters

Lutgarde M. C. Buydens, Willem J. Melssen, B. Üstün, 2006 .