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Goiris, K., Muylaert, K., Fraeye, I., Foubert, I., De Brabanter, J., De Cooman, L. (2012). Antioxidant potential of microalgae in relation to their phenolic and carotenoid content. Journal of Applied Phycology.
De Brabanter, K., Karsmakers, P., De Brabanter, J., Suykens, J., De Moor, B. (2012). Confidence bands for least squares support vector machine classifiers : a regression approach. Pattern Recognition, 45 (6), 2280-2287.
De Brabanter, K., De Brabanter, J., Suykens, J., De Moor, B. (2011). Approximate confidence and prediction intervals for least squares support vector regression. IEEE Transactions on Neural Networks, 22 (1), 110-120.
De Brabanter, K., De Brabanter, J., Suykens, J., De Moor, B. (2011). Kernel regression in the presence of correlated errors. Journal of Machine Learning Research, 12, 1955-1976.
De Brabanter, K., De Brabanter, J., Suykens, J., De Moor, B. (2010). Optimized Fixed-Size Kernel Models for Large Data Sets. Computational Statistics & Data Analysis, 54 (6), 1484-1504.
Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2009). Least Conservative support and tolerance tubes. IEEE Transactions on Information Theory, 55 (8), 3799-3806.
Van Herpe, T., De Brabanter, J., Beullens, M., De Moor, B., Van den Berghe, G. (2008). Glycemic Penalty Index for adequately comparing blood glucose control algorithms. Critical Care, 12 (1), R24.
Van Herpe, T., Pelckmans, K., De Brabanter, J., Janssens, F., De Moor, B., Van den Berghe, G. (2008). Statistical approach of assessing the reliability of glucose sensors: The GLYCENSIT-procedure. Journal of Diabetes Science and Technology, 2 (6), 939-947.
De Smet, F., De Brabanter, J., Van den Bosch, T., Pochet, N., Amant, F., Van Holsbeke, C., Moerman, P., De Moor, B., Vergote, I., Timmerman, D. (2006). New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography. Ultrasound in Obstetrics & Gynecology, 27 (6), 664-671.
Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2005). The differogram: Non-parametric noise variance estimation and its use for model selection. Neurocomputing, 69 (1-3), 100-122.
Pelckmans, K., Espinoza, M., De Brabanter, J., Suykens, J., De Moor, B. (2005). Primal-dual monotone kernel regression. Neural Processing Letters, 22 (2), 171-182.
Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2005). Handling missing values in support vector machine classifiers. Neural Networks, 18 (5-6), 684-692.
Van den Bosch, T., Van Schoubroeck, D., Ameye, L., De Brabanter, J., Van Huffel, S., Timmerman, D. (2003). Ultrasound assessment of endometrial thickness and endometrial polyps in women on hormonal replacement therapy. American Journal of Obstetrics and Gynecology, 188 (5), 1249-1253.
Van den Bosch, T., Van Schoubroeck, D., Lu, C., De Brabanter, J., Van Huffel, S., Timmerman, D. (2002). Color Doppler and gray-scale ultrasound evaluation of the postpartum uterus. Ultrasound in Obstetrics & Gynecology, 20 (6), 586-591.
Marchal, K., Engelen, K., De Brabanter, J., Aerts, S., De Moor, B., Ayoubi, T., Van Hummelen, P. (2002). Comparison of different methodologies to identify differentially expressed genes in two-sample cDNA microarrays. Journal of biological systems, 10 (4), 409-430.
Van den Bosch, T., Van Schoubroeck, D., Ameye, L., De Brabanter, J., Van Huffel, S., Timmerman, D. (2002). The influence of hormone replacement therapy on the ultrasound features of the endometrium: a prospective study. European journal of cancer (Oxford, England : 1990), 38 Suppl 6, S78-S79.
Van den Bosch, T., Donders, G., Riphagen, I., Debois, P., Ameye, L., De Brabanter, J., Van Huffel, S., Van Schoubroeck, D., Timmerman, D. (2002). Ultrasonographic features of the endometrium and the ovaries in women on etonogestrel implant. Ultrasound in Obstetrics & Gynecology, 20 (4), 377-380.
Suykens, J., De Brabanter, J., Lukas, L., Vandewalle, J. (2002). Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing, 48, 85-105.
Vergote, I., De Brabanter, J., Fyles, A., Bertelsen, K., Einhorn, N., Sevelda, P., Gore, M., Kaern, J., Verrelst, H., Sjövall, K., Timmerman, D., Vandewalle, J., Van Gramberen, M., Tropé, C. (2001). Prognostic importance of degree of differentiation and cyst rupture in stage I invasive epithelial ovarian carcinoma. Lancet, 357 (9251), 176-182.
Vergote, I., Timmerman, D., Fyles, A., Trope, C., De Brabanter, J. (2001). Cyst rupture during surgery - Authors' reply. Lancet, 358 (9275), 73-73.
Van Gestel, T., Suykens, J., De Brabanter, J., De Moor, B., Vandewalle, J. (2001). Kernel canonical correlation analysis and least squares Support Vector Machines. Artificial neural networks-icann 2001, proceedings, 2130, 381-386.
Timmerman, D., Deprest, J., Verbesselt, R., Moerman, P., De Brabanter, J., Vergote, I. (2000). Absence of correlation between risk factors for endometrial cancer and the presence of tamoxifen-associated endometrial polyps in postmenopausal patients with breast cancer. European Journal of Cancer, 36 (Suppl 4), S40-S42.
De Brabanter, J., Vergote, I., Verrelst, H., Timmerman, D., Van Huffel, S., Vandewalle, J. (1999). Univariate and multivariate regression analysis:some basic statistical principles. CME Journal of Gynecologic Oncology, 262-270.
Suykens, J., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J. (2002). Least Squares Support Vector Machines. World Scientific.
Pelckmans, K., Goethals, I., De Brabanter, J., Suykens, J., De Moor, B. (2005). Componentwise Least Squares Support Vector Machines. In: Wang L. (Eds.), Support Vector Machines: Theory and Applications (pp. 77-98) Springer Verlag.
Suykens, J., Van Gestel, T., De Brabanter, J., De Moor, B., Vandewalle, J. (2003). Support Vector Machines : Least Squares Approaches and Extensions. In: Suykens J., Horvath G., Basu S., Micchelli C., Vandewalle J. (Eds.), Advances in Learning Theory : Methods, Models and Applications, Chapt. 8 (pp. 155-178).
Huyck, B., Callebaut, L., Logist, F., Ferreau, H., Diehl, M., De Brabanter, J., Van Impe, J., De Moor, B. (2012). Implementation and Experimental Validation of Classic MPC on Programmable Logic Controllers. Proceedings of the 20th Mediterranean Conference on Control and Automation. Mediterranean Conference on Control and Automation. Barcelona, Spain, 3-6 july 2012.
De Brabanter, K., De Brabanter, J., Suykens, J., Vandewalle, J., De Moor, B. (2012). Robustness of Kernel Based Regression : Influence and Weight Functions. Proc. of the International Joint Conference on Neural Networks (IJCNN 2012): Vol. a. International Joint Conference on Neural Networks (IJCNN 2012), 2012.
De Brabanter, K., De Brabanter, J., Gijbels, I., Suykens, J., De Moor, B. (2011). New developments in Kernel regression with correlated errors. Graybill 2011 conference on Modern Nonparametric Methods (Graybill). Graybill 2011 conference on Modern Nonparametric Methods (Graybill). Fort Collins, Colorado, Jun. 2011.
Huyck, B., Logist, F., De Brabanter, J., Van Impe, J., De Moor, B. (2011). Constrained Model Predictive Control on a programmable automation system exploiting code generation: practical considerations. In Bittanti, S. (Ed.), Cenedese, A. (Ed.), Zampieri, S. (Ed.), Proc. of the 18th IFAC World Congress. IFAC World Congress 2011. Milan, Italy, 28 August-02 September 2011 (pp. 12207-12212).
Huyck, B., De Brabanter, K., Logist, F., De Brabanter, J., Van Impe, J., De Moor, B. (2011). Identification of a pilot scale distillation column : A kernel based approach. In Bittanti, S. (Ed.), Cenedese, A. (Ed.), Zampieri, S. (Ed.), Proc. of the 18th World Congress of the International Federation of Automatic Control (IFAC). IFAC World Congress 2011. Milan, Italy, 28 August-02 September 2011 (pp. 471-476).
De Brabanter, K., De Brabanter, J., Suykens, J., De Moor, B. (2010). Kernel regression with correlated errors. Proc. of the 11th International Symposium on Computer Applications in Biotechnology (CAB). 11th International Symposium on Computer Applications in Biotechnology (CAB). Leuven, Belgium, Jul. 2010 (pp. 13-18).
De Brabanter, K., Karsmakers, P., De Brabanter, J., Pelckmans, K., Suykens, J., De Moor, B. (2010). On robustness in Kernel based regression. Proc. of NIPS 2010 Workshop Robust Statistical Learning (ROBUSTML) (NIPS 2010). NIPS 2010 Workshop Robust Statistical Learning (ROBUSTML). Whistler, Canada, Dec. 2010.
De Brabanter, K., Sahhaf, S., Karsmakers, P., De Brabanter, J., Suykens, J., De Moor, B. (2010). Nonparametric comparison of densities based on statistical bootstrap. Proc. of the 4th European Conference on the Use of Modern Information and Communication Technologies (ECUMICT 2010). 4th European Conference on the Use of Modern Information and Communication Technologies (ECUMICT 2010). Gent, Belgium, Mar. 2010 (pp. 179-190).
De Brabanter, K., Dreesen, P., Karsmakers, P., Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2009). Fixed-size LS-SVM applied to the Wiener-Hammerstein Benchmark. Proc. of the 15th IFAC symposium on System Identification (SYSID 2009). 15th IFAC symposium on System Identification (SYSID 2009). Saint-Malo, France, Jul. 2009 (pp. 826-831).
De Brabanter, K., Pelckmans, K., De Brabanter, J., Debruyne, M., Suykens, J., Hubert, M., De Moor, B. (2009). Robustness of Kernel Based Regression: a Comparison of Iterative Weighting Schemes. Proc. of the 19th International Conference on Artificial Neural Networks (ICANN). 19th International Conference on Artificial Neural Networks (ICANN). Limassol, Cyprus, Sep. 2009 (pp. 100-110).
Logist, F., Huyck, B., Fabre, M., Verwerft, M., Pluymers, B., De Brabanter, J., De Moor, B., Van Impe, J. (2009). Identification and control of a pilot scale binary distillation column. Proceedings of the European Control Conference 2009 (ECC 09). European Control Conference 2009 (ECC 09). Budapest, Hungary, August 23-26, 2009 (pp. 4659-4664).
Karsmakers, P., Leroux, P., De Brabanter, J., Pelckmans, K., Suykens, J. (2008). Least Squares Support Vector Machines for Modeling Electronic Devices. Proc. of the European Conference on the Use of Modern Information and Communication Technologies (ECUMICT). European Conference on the Use of Modern Information and Communication Technologies. Ghent, Belgium, 13-14 March 2008.
De Brabanter, J., Pelckmans, K., Suykens, J., De Moor, B. (2006). Generalized likelihood ratio statistics based on bootstrap techniques for autoregression models. Proc. of the 14th IFAC Symposium on System Identification (SYSID 2006). 14th IFAC Symposium on System Identification (SYSID 2006). Newcastle, Australia, Mar. 2006 (pp. 6).
De Brabanter, J., Pelckmans, K., Suykens, J., De Moor, B. (2006). Nonparametric Comparison of Signals Based on Statistical Bootstrap Techniques. Proc. of the European Conference on the Use of Modern Information and Communication Technologies (ECUMICT). European Conference on the Use of Modern Information and Communication Technologies (ECUMICT). Gent, Belgium, Mar. 2006.
Devos, A., Bergans, N., Dresselaers, T., De Brabanter, J., Sima, D., Vanhamme, L., Vanstapel, F., Van Hecke, P., Van Huffel, S. (2006). Model order selection for quantification of a multi-exponential magnetic resonance spectrum. Proc. of the IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2006). IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2006), Aug.-Sep. 2006 (pp. 1299-1302).
Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2005). Maximal Variation and Missing Values for Componentwise Support Vector Machines. Proc. of the International Joint Conference on Neural Networks (IJCNN 2005). International Joint Conference on Neural Networks (IJCNN 2005). Montreal, Canada, Aug. 2005.
Ameye, L., De Brabanter, J., Suykens, J., Cadron, I., Devlieger, R., Timmerman, D., Spitz, B., Van Huffel, S. (2005). Predictive models for long term survival after premature rupture of membranes. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Vol. 5. 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Shanghai, China, 1-4 Sept 2005 (pp. 4622-5).
Pelckmans, K., De Brabanter, J., De Moor, B., Suykens, J. (2005). Convex Clustering Shrinkage. Workshop on Statistics and optimization of clustering Workshop (PASCAL). Workshop on Statistics and optimization of clustering Workshop (PASCAL). London, UK, Jul. 2005.
De Brabanter, J., Pelckmans, K., Suykens, J., De Moor, B. (2005). Prediction Intervals for NAR Model Structures Using a Bootstrap Method. Proc. of the 2005 International Symposium on Nonlinear Theory and its Applications (NOLTA 2005). 2005 International Symposium on Nonlinear Theory and its Applications (NOLTA 2005). Brugge, Belgium, Sep. 2005 (pp. 6).
De Smet, F., Vergote, I., De Brabanter, J., Konstantinovic, M., Van den Bosch, T., Moerman, P., De Moor, B., Amant, F., Timmerman, D. (2005). New models to predict depth of infiltration in endometrial carcinoma based on transvaginal sonography. International Journal of Gynecological Cancer. 14th International meeting of the ESGO. Istanbul, Turkey, Sep. 2005 (pp. 2).
Timmerman, D., De Smet, F., De Brabanter, J., Moerman, P., De Moor, B., Moreau, Y., Van Huffel, S., Vergote, I. (2003). News on ultrasonographic techniques for pelvic malignancies. Int. J. Gynecol. Cancer, 2003, MEO4 13th International meeting of the ESGO. 13th International meeting of the ESGO. Brussels, Belgium, Apr. 2003 (pp. 120-121).
De Brabanter, J., Pelckmans, K., Suykens, J., De Moor, B., Vandewalle, J. (2003). Robust complexity criteria for nonlinear regression in NARX models. Proc. of the 13th System Identification Symposium (SYSID2003). 13th System Identification Symposium (SYSID2003). Rotterdam, Nederland, Aug. 2003 (pp. 79-84).
Pelckmans, K., De Brabanter, J., Suykens, J., De Moor, B. (2003). Variogram based noise variance estimation and its use in Kernel Based Regression. Proc. of the IEEE Workshop on Neural Networks for Signal Processing. IEEE Workshop on Neural Networks for Signal Processing (pp. 199-208).
Ameye, L., Lu, C., Lukas, L., De Brabanter, J., Suykens, J., Van Huffel, S., Daniels, H., Naulaers, G., Devlieger, H. (2002). Prediction of mental development of preterm newborns at birth time using LS-SVM. Proc. of the European Symposium on Artificial Neural Networks (ESANN'2002). European Symposium on Artificial Neural Networks (ESANN'2002). Bruges, Belgium, Apr. 2002 (pp. 167-172).
Devos, A., Bergans, N., De Brabanter, J., Vanhamme, L., Vanstapel, F., Van Hecke, P., Van Huffel, S. (2002). Model selection for quantification of a multi-exponential MRS signal. Proc. of the 2nd European Medical and Biological Engineering Conference (EMBEC'02). 2nd European Medical and Biological Engineering Conference (EMBEC'02). Vienna, Austria, Dec. 2002 (pp. 1066-1067).
De Brabanter, J., Pelckmans, K., Suykens, J., Vandewalle, J. (2002). Robust cross-validation score function for non-linear function estimation. Artificial neural networks - icann 2002: Vol. 2415. International Conference on Artificial Neural Networks (ICANN 2002). Madrid, Spain, Aug. 2002 (pp. 713-719) Springer-verlag berlin.
Ameye, L., Van Huffel, S., De Brabanter, J., Suykens, J., Spitz, B., Cadron, I., Devlieger, R., Timmerman, D. (2002). Study of rupture of membranes before 26 weeks of gestation. Proc. of the 2nd European Medical and Biological Engineering Conference (EMBEC'02). 2nd European Medical and Biological Engineering Conference (EMBEC'02). Vienna, Austria, Dec. 2002 (pp. 760-761).
Van Gestel, T., Suykens, J., De Brabanter, J., De Moor, B., Vandewalle, J. (2001). Least squares support vector machine regression for discriminant analysis. Proc. of the International Joint Conference on Neural Networks (IJCNN'01). International Joint Conference on Neural Networks (IJCNN'01). Washington DC, USA, Jul. 2001 (pp. 2445-2450).
Lu, C., De Brabanter, J., Van Huffel, S., Vergote, I., Timmerman, D. (2001). Using Artificial Neural Networks to Predict Malignancy of Ovarian Cancers. Proc. of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2001). 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2001). Istanbull, Turkey, Oct. 2001 (pp. CD-ROM).
De Brabanter, K., De Brabanter, J., De Moor, B. (2011). Nonparametric derivative estimation. Proc. of the 23rd Benelux Conference on Artificial Intelligence. 23rd Benelux Conference on Artificial Intelligence. Gent, Belgium, Nov. 2011 (pp. 75-81).
Huyck, B., De Brabanter, J., Van Impe, J., De Moor, B. (2008). Identifcation and Modeling of a Dynamical System. Proceedings of the Third European Conference on the Use of Modern Information and Communication Technologies. Third European Conference on the Use of Modern Information and Communication Technologies. Gent, Belgium, 2008.
Peeters, M., De Brabanter, J., De Moor, B. (2010). Control of the temperature in a room using model predictive control applied to a air handling unit. Clima2010. Turkey, 9-12 May 2010.
Timmerman, D., De Smet, F., De Brabanter, J., Thijs, I., Moreau, Y., De Moor, B., Vergote, I. (2003). Pre-operative prediction of depth of myometrial invasion in patients with endometrial cancer: evaluation of ultrasound parameters and development of a new logistic regression model. Int. J. Gynecol. Cancer: vol. 13 (Suppl. 3). 13th International Meeting of the Eur. Society of Gynaecological Oncology (ESGO). Brussels, Belgium, 6-10.4.2003., 26.
Timmerman, D., De Smet, F., De Brabanter, J., Moerman, P., De Moor, B., Moreau, Y., Van Huffel, S., Vergote, I. (2003). News on ultrasonographic techniques for pelvic malignancies. International journal of gynecological cancer: vol. 13 (Suppl 1). 13th International Meeting of the Eur. Society of Gynaecological Oncology (ESGO). Brussels, Belgium, 6-10.4.2003., 120-121.
Timmerman, D., De Smet, F., De Brabanter, J., Van Holsbeke, C., Jermy, K., Moreau, Y., Bourne, T., Vergote, I. (2003). OC118 : Mathematical models to evaluate ovarian masses - can they beat an expert operator ?. Ultrasound Obstet. Gynecol.: vol. 22 (Suppl. 1). 13th World Congress on Ultrasound in Obstetrics & Gynecology. Paris, France, Aug.-Sep. 2003, 33.
Amant, F., Vercruysse, L., De Brabanter, J., Verbist, L., Moerman, P., Vandewalle, J., Lindeque, B., Vergote, I. (2002). Oestrogen receptor alpha protein is more prevalent in the myometrium of black South African women suffering from uterine leiomyoma compared with Caucasian women. European journal of cancer: vol. 38. cc, S92-S92.
Amant, F., Dorfling, C., De Brabanter, J., Vandewalle, J., Vergote, I., Lindeque, B., Van Rensburg, E. (2002). Role of Cytochrome P450C17alpha gene (CYP17) polymorphism in the pathobiology of uterine leiomyomas among black South African Women. American Association of Cancer Research. San Francisco.
Vergote, I., De Brabanter, J., Fyles, A. (2001). Prognostic factors in 1545 patients with stage I invasive epithelial ovarian carcinoma: importance of degree of differentiation and cyst rupture in predicting relapse. European journal of gynaecological oncology: vol. 23 (suppl 44), Abstract No. 103.
Huyck, B., Logist, F., De Brabanter, J., Van Impe, J., De Moor, B. (2012). Online MPC on Industrial Programmable Logic Controllers. Benelux Meeting on Systems and Control. Heijen/Nijmegen, The Netherlands, 27-29 March 2012.
Huyck, B., Logist, F., De Brabanter, J., Van Impe, J., De Moor, B. (2011). Code generation for MPC controllers on industrial hardware. Benelux Meeting on Systems and Control. Lommel, Belgium, 15-17 March 2011.
Huyck, B., De Brabanter, K., Logist, F., De Brabanter, J., Van Impe, J., De Moor, B. (2011). LS-SVM Identification of a Distillation Column. Benelux Meeting on Systems and Control. Lommel, Belgium, 15-17 March 2011.
Huyck, B., Logist, F., De Brabanter, J., Van Impe, J., De Moor, B. (2009). Identification of a distillation column for PLC control purposes. Book of Abstracts of the 28th Benelux Meeting on Systems and Control. BeNeLux Meeting on Systems and Control. Spa (Belgium), 16-18 March 2009, 21.
Huyck, B., De Brabanter, J., Logist, F., Van Impe, J., De Moor, B. (2008). Identification and Modelling of a Distillation Column. Book of Abstracts 27th BeNeLux Meeting on Systems and Control. Benelux Meeting on Systems and Control. Heeze (The Netherlands), March 18-20, 2008, 17.
Lu, C., De Brabanter, J., Van Huffel, S., Vergote, I., Timmerman, D. (2001). Prediction of malignancy of ovarian tumors with logistic regression and artifical neural network models. 9th annual meeting of the Belgian Statistical Society (BSS 2001). Oostende, Belgium, October 12-13, 2001..
De Brabanter, J., Vandewalle, J. (sup.) (2004). LS-SVM regression modelling and its applications, 243 pp.
Two OPTEC professors have been awarded three "Gouden Krijtjes", the yearly teaching awards given by the organization of engineering students (vtk). Prof. Lombaert was awarded the prize for the best course in civil engineering, and Prof. Diehl the prizes for the best professor and the best course in mathematical engineering (where he teaches numerical optimization). They received these awards at the yearly "proffentap" where experienced students taught them how to draft beer professionally.
