| Distortion invariant object recognition in the dynamic link architecture M Lades, JC Vorbruggen, J Buhmann, J Lange, C Von Der Malsburg, ... IEEE Transactions on computers 42 (3), 300-311, 1993 | 2612 | 1993 |
| A fast dynamic link matching algorithm for invariant pattern recognition WK Konen, T Maurer, C Von Der Malsburg Neural networks 7 (6-7), 1019-1030, 1994 | 141 | 1994 |
| Electromagnetic N→ N*(1535) transition in the relativistic constituent-quark model W Konen, HJ Weber Physical Review D 41 (7), 2201, 1990 | 112 | 1990 |
| Method and system for image-guided interventional endoscopic procedures W Konen, M Scholz US Patent 6,135,946, 2000 | 101 | 2000 |
| Learning to generalize from single examples in the dynamic link architecture W Konen, C Malsburg Neural Computation 5 (5), 719-735, 1993 | 64 | 1993 |
| Tuning and evolution of support vector kernels P Koch, B Bischl, O Flasch, T Bartz-Beielstein, C Weihs, W Konen Evolutionary Intelligence 5 (3), 153-170, 2012 | 60 | 2012 |
| ZN-Face: A system for access control using automated face recognition W Konen, E Schulze-kruger In Proceedings of the International Workshop on Automated Face-and Gesture …, 1995 | 50 | 1995 |
| Development of an endoscopic navigation system based on digital image processing M Scholz, W Konen, S Tombrock, B Fricke, L Adams, M Von Duering, ... Computer Aided Surgery 3 (3), 134-143, 1998 | 49 | 1998 |
| Gesture recognition on few training data using slow feature analysis and parametric bootstrap P Koch, W Konen, K Hein The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 47 | 2010 |
| Comparing facial line drawings with gray-level images: a case study on PHANTOMAS W Konen International Conference on Artificial Neural Networks, 727-734, 1996 | 43 | 1996 |
| The VN project: endoscopic image processing for neurosurgery W Konen, M Scholz, S Tombrock Computer Aided Surgery 3 (3), 144-148, 1998 | 36 | 1998 |
| Virtual image navigation: a new method to control intraoperative bleeding in neuroendoscopic surgery M Scholz, B Fricke, S Tombrock, M Hardenack, K Schmieder, ... Journal of neurosurgery 93 (2), 342-350, 2000 | 33 | 2000 |
| Efficient multi-criteria optimization on noisy machine learning problems P Koch, T Wagner, MTM Emmerich, T Bäck, W Konen Applied Soft Computing 29, 357-370, 2015 | 32 | 2015 |
| Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets S Bagheri, W Konen, M Emmerich, T Bäck Applied Soft Computing 61, 377-393, 2017 | 27 | 2017 |
| Reinforcement Learning with N-tuples on the Game Connect-4 M Thill, P Koch, W Konen International Conference on Parallel Problem Solving from Nature, 184-194, 2012 | 24 | 2012 |
| Tuned data mining: a benchmark study on different tuners W Konen, P Koch, O Flasch, T Bartz-Beielstein, M Friese, B Naujoks Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 24 | 2011 |
| Online anomaly detection on the webscope S5 dataset: A comparative study M Thill, W Konen, T Bäck 2017 Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2017 | 23 | 2017 |
| Method for verifying the authenticity of an image recorded in a person identifying process W Konen, M Brauckmann, A Liebetrau US Patent 6,922,478, 2005 | 22 | 2005 |
| A new repair method for constrained optimization P Koch, S Bagheri, W Konen, C Foussette, P Krause, T Bäck Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 21 | 2015 |
| Temporal difference learning with eligibility traces for the game connect four M Thill, S Bagheri, P Koch, W Konen 2014 IEEE Conference on Computational Intelligence and Games, 1-8, 2014 | 20 | 2014 |
Rolf P. WürtzResearcher at Institut für Neuroinformatik, Ruhr-University Bochum, GermanyVerified email at rub.de
