| A sparse least squares support vector machine classifier J Valyon, G Horváth Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference …, 2004 | 79 | 2004 |
| Artificial neural network based mobile robot navigation I Engedy, G Horváth Intelligent Signal Processing, 2009. WISP 2009. IEEE International Symposium …, 2009 | 68 | 2009 |
| Segmentation of anatomical structures on chest radiographs S Juhász, Á Horváth, L Nikházy, G Horváth, Á Horváth XII Mediterranean Conference on Medical and Biological Engineering and …, 2010 | 49 | 2010 |
| Artificial neural network based local motion planning of a wheeled mobile robot I Engedy, G Horvath Computational Intelligence and Informatics (CINTI), 2010 11th International …, 2010 | 46 | 2010 |
| A Robust LS-SVM Regression J Valyon, G Horváth training 500, 1, 2005 | 43 | 2005 |
| Kernel CMAC with improved capability G Horváth, T Szabo Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 37 …, 2007 | 38 | 2007 |
| A full-parallel digital implementation for pre-trained NNs T Szabó, L Antoni, G Horváth, B Fehér Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS …, 2000 | 38 | 2000 |
| Neural networks in system identification G Horvath NATO SCIENCE SERIES SUB SERIES III COMPUTER AND SYSTEMS SCIENCES 185, 43-78, 2003 | 37* | 2003 |
| Elimination of clavicle shadows to help automatic lung nodule detection on chest radiographs G Simkó, G Orbán, P Máday, G Horváth 4th European Conference of the International Federation for Medical and …, 2009 | 32 | 2009 |
| Joint analysis of multiple mammographic views in CAD systems for breast cancer detection M Altrichter, Z Ludányi, G Horváth Image Analysis, 83-95, 2005 | 27 | 2005 |
| Fast identification of systems with nonlinear feedback J Paduart, G Horvath, J Schoukens Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2004 | 27 | 2004 |
| Neurális hálózatok M Altrichter, G Horváth, B Pataki, G Strausz, G Takács, J Valyon Panem Kiadó, 2006 | 26 | 2006 |
| A Weighted Generalized LS-SVM J Valyon, G Horváth Periodica Polytechnica, Electrical Engineering 47 (3), 229-251, 2003 | 24 | 2003 |
| Improving the Generalization Capability of the Binary CMAC G Horváth Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 24* | 2000 |
| Improving the generalization capability of the binary CMAC T Szabó, G Horváth Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS …, 2000 | 23 | 2000 |
| CMAC neural network as an SVM with B-Spline kernel functions G Horvath Instrumentation and Measurement Technology Conference, 2003. IMTC'03 …, 2003 | 22 | 2003 |
| Neural Networks in Measurement Systems G Horváth Advances in Learning Theory: Methods, Models and Applications, 375-402, 2003 | 22 | 2003 |
| Kernel CMAC: an efficient neural network for classification and regression G Horváth Acta Polytechnica Hungarica 3 (1), 5-20, 2006 | 21 | 2006 |
| Extended Least Squares LS–SVM J Valyon, G Horváth training 500, 1, 2006 | 18 | 2006 |
| CMAC Neund Ne 附 0dc with Improved Generalization Property for System Modeling G HORVATH, T SZAB Instrumentation and Me~ umment Technology Conference 2002 (2), 1603-1608, 2002 | 18* | 2002 |
