Publications

  1. Suykens J.A.K., Lukas L., Van Dooren P., De Moor B., Vandewalle J., “Least squares support vector machine classifiers : a large scale algorithm”, in Proc. of the European Conference on Circuit Theory and Design (ECCTD’99), Stresa, Italy, Sep. 1999, pp. 839-842.
  2. Suykens J.A.K., Lukas L., Vandewalle J., “Sparse approximation using least squares support vector machines”, in Proc. of the IEEE International Symposium on Circuits and Systems (ISCAS 2000), Geneva, Switzerland, May 2000, pp. II757-II760.
  3. Suykens J.A.K., Lukas L., Vandewalle J., “Sparse Least Squares Support Vector Machine Classifiers”, in Proc. of the European Symposium on Artificial Neural Networks (ESANN’2000), Bruges, Belgium, 2000, pp. 37-42.
  4. Suykens J.A.K., De Brabanter J., Lukas L., Vandewalle J., “Weighted least squares support vector machines : robustness and sparse approximation”, Neurocomputing, Special issue on fundamental and information processing aspects of neurocomputing, vol. 48, no. 1-4, Oct. 2002, pp. 85-105.
  5. Lukas L., Suykens J.A.K., Vandewalle J., “Least squares support vector machines classifiers : a multi two-spiral benchmark problem”, in Proc. of the Indonesian Student Scientific Meeting (ISSM 2001), Manchester, United Kingdom, Aug. 2001, pp. 289-292.
  6. Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A., Majos C., Arus C., “The use of LS-SVM in the classification of brain tumors based on magnetic resonance spectroscopy signals”, in Proc. of the European Symposium Artificial Neural Networks (ESANN’2002), Bruges, Belgium, Apr. 2002, pp. 131-136.
  7. Ameye L., Lu C., Lukas L., De Brabanter J., Suykens J.A.K., Van Huffel S., Daniels H., Naulaers G., Devlieger H., “Prediction of mental development of preterm newborns at birth time using LS-SVM”, in Proc. of the European Symposium on Artificial Neural Networks (ESANN’2002), Bruges, Belgium, Apr. 2002, pp. 167-172.
  8. Pelckmans K., Suykens J.A.K., Van Gestel T., De Brabanter J., Lukas L., Hamers B., DE Moor B., Vandewalle J., “LS-SVMlab : a Matlab/C toolbox for Least Squares Support Vector Machines”, Internal Report 02-44, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2002.
  9. Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Van Huffel S., Tate A.R., Majos C., Arus C., “The use of LS-SVM in the classification of brain tumors base on 1H-MR spectroscopy signals”, in Proceedings of IEE Workshop ‘Medical Applications of Signal Processing’, Savoy Place, London, UK, Oct. 7, 2002, pp. 15/1-15/5.
  10. Pelckmans K., Suykens J.A.K., Van Gestel T., De Brabanter J., Lukas L., Hamers B., De Moor B., Vandewalle J., “LS-SVMlab Toolbox User’s Guide”, Internal Report 02-145, ESAT-SISTA, K.U.Leuven (Leuven, Belgium), 2002.
  11. Lukas L., Devos A., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Tate A.R., Arus C., Van Huffel S., “Brain Tumour Classification based on long echo proton MRS signals”, Artificial Intelligence in Medicine, vol. 31, 2004, pp. 73-89.
  12. Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Tate A.R., Howe F.A., Majos C., Moreno-Torres A., Van der Graaf M., Arus C., Van Huffel S., “Classification of brain tumours using short echo time 1H MRS spectra”, Journal of Magnetic Resonance, vol. 170 , no. 1, Sep. 2004, pp. 164-175.
  13. Devos A., Simonetti A.W., van der Graaf M., Lukas L., Suykens J.A.K., Vanhamme L., Buydens L.M.C., Heerschap A., Van Huffel S., “The use of multivariate MR Imaging Intensities versus metabolic data from MR Spectroscopic Imaging for”, Journal of Magnetic Resonance, vol. 173, no. 2, Apr. 2005, pp. 218-228.
  14. Lukas L., Least Squares Support Vector Machines Classification Applied to Brain Tumour Recognition using Magnetic Resonance Spectroscopy, PhD thesis, Faculty of Engineering, K.U.Leuven (Leuven, Belgium), Dec. 2003, 148 p.
  15. Devos A., Lukas L., Simonetti A.W., van der Graaf M., Buydens L.M.C., Heerschap A., Van Huffel S., “Does the combination of Magnetic Resonance Imaging and Spectroscopic Imaging improve the classification of brain tumours ?”, in Proc. of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), San Francisco, California, Sep. 2004.
  16. Devos A., Lukas L., Suykens J.A.K., Vanhamme L., Howe F.A., Majos C., Moreno-Torres A., van der Graaf M., Tate A.R., Arus C., Van Huffel S., “Brain tumour classification using short echo time 1H MRS. Objective comparison of classification techniques (LDA, LS-SVM).”, in Proc. of the 12th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM04), Kyoto, Japan, May 2004, 384 p.