| L2-norm multiple kernel learning and its application to biomedical data fusion S Yu, T Falck, A Daemen, LC Tranchevent, JAK Suykens, B De Moor, ... BMC bioinformatics 11, 1-24, 2010 | 147 | 2010 |
| Approximate solutions to ordinary differential equations using least squares support vector machines S Mehrkanoon, T Falck, JAK Suykens IEEE transactions on neural networks and learning systems 23 (9), 1356-1367, 2012 | 106 | 2012 |
| Stochastic properties of mobility models in mobile ad hoc networks S Bandyopadhyay, EJ Coyle, T Falck IEEE Transactions on Mobile Computing 6 (11), 1218-1229, 2007 | 101 | 2007 |
| Least-squares support vector machines for the identification of Wiener–Hammerstein systems T Falck, P Dreesen, K De Brabanter, K Pelckmans, B De Moor, ... Control Engineering Practice 20 (11), 1165-1174, 2012 | 70 | 2012 |
| Identification of wiener-hammerstein systems using LS-SVMs T Falck, K Pelckmans, JAK Suykens, B De Moor Proceedings of the 15th IFAC Symposium on System Identification (SYSID 2009 …, 2009 | 54 | 2009 |
| Parameter estimation for time varying dynamical systems using least squares support vector machines S Mehrkanoon, T Falck, JAK Suykens IFAC Proceedings Volumes 45 (16), 1300-1305, 2012 | 30 | 2012 |
| Time series prediction using ls-svms M Espinoza, T Falck, JAK Suykens, B De Moor European Symposium on Time Series Prediction, ESTSP 8, 159-168, 2008 | 20 | 2008 |
| Nuclear norm regularization for overparametrized Hammerstein systems T Falck, JAK Suykens, J Schoukens, B De Moor 49th IEEE Conference on Decision and Control (CDC), 7202-7207, 2010 | 19 | 2010 |
| Robustness analysis for least squares kernel based regression: an optimization approach T Falck, JAK Suykens, B De Moor Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 14 | 2009 |
| Segmentation of time series from nonlinear dynamical systems T Falck, H Ohlsson, L Ljung, JAK Suykens, B De Moor IFAC Proceedings Volumes 44 (1), 13209-13214, 2011 | 13 | 2011 |
| Linear parametric noise models for least squares support vector machines T Falck, JAK Suykens, B De Moor 49th IEEE Conference on Decision and Control (CDC), 6389-6394, 2010 | 8 | 2010 |
| Polynomial componentwise LS-SVM: fast variable selection using low rank updates F Ojeda, T Falck, B De Moor, JAK Suykens The 2010 International Joint Conference on Neural Networks (IJCNN), 1-7, 2010 | 8 | 2010 |
| NARX identification of Hammerstein systems using least-squares support vector machines I Goethals, K Pelckmans, T Falck, JAK Suykens, B De Moor Block-oriented Nonlinear System Identification, 241-258, 2010 | 8 | 2010 |
| Device and method for controlling the operation of a towed implement, which can be activated hydraulically, on a vehicle G Michalke, M Schleyer, S Rose, T Falck US Patent 10,306,821, 2019 | 4 | 2019 |
| A two stage algorithm for kernel based partially linear modeling with orthogonality constraints T Falck, M Signoretto, JAK Suykens, B De Moor Internal Report 10-03 ESAT-SISTA, KU Leuven Leuven, Belgium, 2011 | 4 | 2011 |
| Nonlinear system identification using structured kernel based models T Falck PhD thesis, Katholieke Universiteit Leuven, Belgium, 2013 | 2 | 2013 |
| Non-sparse kernel fusion and its applications in genomic data integration S Yu, T Falck, A Daemen, J Suykens, BD Moor, Y Moreau Technical report, KU Leuven, Nederland, 2009 | 1 | 2009 |
| A Perturbation Analysis using Second Order Cone Programming for Robust Kernel Based Regression T Falck, M Espinoza, JAK Suykens, B De Moor Internal Report 08-38, ESAT-SISTA, KU Leuven (Leuven, Belgium), submitted …, 0 | 1 | |
| Method for applying a spray to a field based on analysis of evaluation portion of monitored field section P Seitz, N Houis, T Falck US Patent 11,968,973, 2024 | | 2024 |
| An unsupervised workflow for explainable biomarker identification based on multiplex data T Falck, H Hessel, F Song, M Schick, C Cotoi, N Brieu Medical Imaging 2024: Digital and Computational Pathology 12933, 290-296, 2024 | | 2024 |
Johan SuykensProfessor, KU LeuvenПодтвержден адрес электронной почты в домене esat.kuleuven.be
