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Mehrkanoon, S., Falck, T., Suykens, J. (2012). Approximate solutions to ordinary differential equations using least squares support vector machines. IEEE Transactions on Neural Networks and Learning Systems, accepted.
Falck, T., Dreesen, P., De Brabanter, K., Pelckmans, K., De Moor, B., Suykens, J. (2012). Least-Squares Support Vector Machines for the Identification of Wiener-Hammerstein Systems. Control Engineering Practice, accepted.
Yu, S., Falck, T., Daemen, A., Tranchevent, L., Suykens, J., De Moor, B., Moreau, Y. (2010). L2-norm multiple kernel learning and its application to biomedical data fusion. BMC Bioinformatics, 11 (309), 1-53.
Goethals, I., Pelckmans, K., Falck, T., Suykens, J., De Moor, B. (2010). NARX identification of Hammerstein systems using Least-Squares Support Vector Machines. In: Giri F., Bai E. (Eds.), Block-oriented nonlinear system identification, Chapt. 15 (pp. 241-256) Springer.
Mehrkanoon, S., Falck, T., Suykens, J. (2012). Parameter estimation for time varying dynamical systems using least squares support vector machines. Proc. of the 16th IFAC Symposium on System Identification (SYSID 2012): Vol. accepted. 16th IFAC Symposium on System Identification (SYSID 2012). Brussels, Belgium, 2012.
Falck, T., Ohlsson, H., Ljung, L., Suykens, J., De Moor, B. (2011). Segmentation of time series from nonlinear dynamical systems. Proc. of the 18th World Congress of the International Federation of Automatic Control. IFAC. Milan, Italy, 2011 (pp. 13209-13214).
Falck, T., Suykens, J., De Moor, B. (2010). Linear parametric noise models for least squares support vector machines. Proc. of the 49th IEEE Conference on Decision and Control (CDC 2010). 49th IEEE Conference on Decision and Control (CDC 2010). Atlanta, USA, Dec. 2010 (pp. 6389-6394).
Ojeda, F., Falck, T., De Moor, B., Suykens, J. (2010). Polynomial componentwise LS-SVM : fast variable selection using low rank updates. Proc. of the International Joint Conference on Neural Networks (IJCNN 2010). International Joint Conference on Neural Networks (IJCNN 2010). Barcelona, Spain, Jul. 2010 (pp. 3291-3297).
Falck, T., Suykens, J., Schoukens, J., De Moor, B. (2010). Nuclear norm regularization for overparametrized Hammerstein Systems. Proc. of the 49th IEEE Conference on Decision and Control (CDC 2010): Vol. accepted. 49th IEEE Conference on Decision and Control (CDC 2010). Atlanta, USA, Dec. 2010 (pp. 7202-7207).
Falck, T., Pelckmans, K., Suykens, J., De Moor, B. (2009). Identification of Wiener-Hammerstein Systems using LS-SVMs. 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. 820-825).
Falck, T., Suykens, J., De Moor, B. (2009). Robustness Analysis for Least Squares Kernel Based Regression: an Optimization Approach. Proc. of 48th IEEE Conference on Decision and Control (CDC 2009). 48th IEEE Conference on Decision and Control (CDC 2009). Shanghai, China, Dec. 2009 (pp. 6774-6779).
Espinoza, M., Falck, T., Suykens, J., De Moor, B. (2008). Time series prediction using LS-SVMs. Proc. of the European Symposium on Time Series Prediction. European Symposium on Time Series Prediction. Porvoo, Finland, Sep. 2008 (pp. 159-168).
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.
