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Full TextIssue DateTitleAuthor(s)
2005Determination of optimal support vector regression parameters by genetic algorithms and simplex optimizationÜstün, B.; Melssen, W.J.; Oudenhuijzen, M.; Buydens, L.M.C.
2005Detection and classification of latent defects and diseases on raw French fries with multispectral imagingNoordam, J.C.; Broek, W. van den; Buydens, L.M.C.
2005Representing structural databases in a self-organizing mapWehrens, H.R.M.J.; Melssen, W.J.; Buydens, L.M.C.; Gelder, R. de
2005Initialization of Markov random field clustering of large remote sensing imagesTran, T.N.; Wehrens, H.R.M.J.; Hoekman, D.H.; Buydens, L.M.C.
2005Clustering multispectral images: a tutorialTran, T.N.; Wehrens, H.R.M.J.; Buydens, L.M.C.
2005Method for the computational comparison of crystal structuresWillighagen, E.L.; Wehrens, H.R.M.J.; Verwer, P.; Gelder, R. de; Buydens, L.M.C.
2005Application of independent component analysis to H-1 MR spectroscopic imaging exams of brain tumoursSzabo de Edelenyi, F.; Simonetti, A.W.; Postma, G.; Huo, R.; Buydens, L.M.C.
2005The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification.Devos, A.; Simonetti, A.W.; Graaf, M. van der; Lukas, L.; Suykens, J.A.; Hamme, L. van; Buydens, L.M.C.; Heerschap, A.; Huffel, S. van
2005The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classificationDevos, A.; Simonetti, A.W.; Graaf, M. van der; Lukas, L.; Suykens, J.A.; Hamme, L. van; Buydens, L.M.C.; Heerschap, A.; Huffel, S. van
2005Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification.Simonetti, A.W.; Melssen, W.J.; Szabo de Edelenyi, F.; Asten, J.J.A. van; Heerschap, A.; Buydens, L.M.C.

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