| 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 | 2832 | 1993 |
| Temporal convolutional autoencoder for unsupervised anomaly detection in time series M Thill, W Konen, H Wang, T Bäck Applied Soft Computing 112, 107751, 2021 | 172 | 2021 |
| 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 | 154 | 1994 |
| Electromagnetic N→ N*(1535) transition in the relativistic constituent-quark model W Konen, HJ Weber Physical Review D 41 (7), 2201, 1990 | 116 | 1990 |
| Method and system for image-guided interventional endoscopic procedures W Konen, M Scholz US Patent 6,135,946, 2000 | 112 | 2000 |
| 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 | 79 | 2017 |
| Tuning and evolution of support vector kernels P Koch, B Bischl, O Flasch, T Bartz-Beielstein, C Weihs, W Konen Evolutionary Intelligence 5, 153-170, 2012 | 73 | 2012 |
| Learning to generalize from single examples in the dynamic link architecture W Konen, C Malsburg Neural Computation 5 (5), 719-735, 1993 | 71 | 1993 |
| Constraint Handling in Efficient Global Optimization S Bagheri, W Konen, R Allmendinger, J Branke, K Deb, J Fieldsend, ... | 62 | 2017 |
| 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 | 56 | 2017 |
| 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 | 55 | 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 | 54 | 2010 |
| 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 | 53 | 2015 |
| ZN-Face: A system for access control using automated face recognition W Konen Proceedings of International Workshop on Automatic Face-and Gesture …, 1995 | 53 | 1995 |
| Time series encodings with temporal convolutional networks M Thill, W Konen, T Bäck International Conference on Bioinspired Methods and Their Applications, 161-173, 2020 | 51 | 2020 |
| Comparing facial line drawings with gray-level images: a case study on PHANTOMAS W Konen International Conference on Artificial Neural Networks, 727-734, 1996 | 45 | 1996 |
| The VN project: endoscopic image processing for neurosurgery W Konen, M Scholz, S Tombrock Computer Aided Surgery 3 (3), 144-148, 1998 | 37 | 1998 |
| 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 | 36 | 2011 |
| 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 | 35 | 2015 |
| 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 | 35 | 2000 |
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
