| Incremental on-line learning: A review and comparison of state of the art algorithms V Losing, B Hammer, H Wersing Neurocomputing 275, 1261-1274, 2018 | 396 | 2018 |
| KNN classifier with self adjusting memory for heterogeneous concept drift V Losing, B Hammer, H Wersing 2016 IEEE 16th international conference on data mining (ICDM), 291-300, 2016 | 279 | 2016 |
| Learning optimized features for hierarchical models of invariant object recognition H Wersing, E Körner Neural Computation 15 (7), 1559-1588, 2003 | 259 | 2003 |
| Personalization in Advanced Driver Assistance Systems and Autonomous Vehicles: A Review M Hasenjäger, H Wersing IEEE ITSC, 2017 | 135 | 2017 |
| A survey of personalization for advanced driver assistance systems M Hasenjäger, M Heckmann, H Wersing IEEE Transactions on Intelligent Vehicles 5 (2), 335-344, 2019 | 134 | 2019 |
| A competitive-layer model for feature binding and sensory segmentation H Wersing, JJ Steil, H Ritter Neural Computation 13 (2), 357-387, 2001 | 117 | 2001 |
| Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions H Wersing, WJ Beyn, H Ritter Neural Computation 13 (8), 1811-1825, 2001 | 103 | 2001 |
| A neural network architecture for automatic segmentation of fluorescence micrographs TW Nattkemper, H Wersing, W Schubert, H Ritter Neurocomputing 48 (1-4), 357-367, 2002 | 80 | 2002 |
| Active 3D object localization using a humanoid robot A Andreopoulos, S Hasler, H Wersing, H Janssen, JK Tsotsos, E Korner IEEE Transactions on Robotics 27 (1), 47-64, 2010 | 73 | 2010 |
| Interactive online learning for obstacle classification on a mobile robot V Losing, B Hammer, H Wersing 2015 international joint conference on neural networks (ijcnn), 1-8, 2015 | 64 | 2015 |
| Pattern recognition with hierarchical networks H Wersing, E Körner US Patent 7,308,134, 2007 | 64 | 2007 |
| Optimal local rejection for classifiers L Fischer, B Hammer, H Wersing Neurocomputing 214, 445-457, 2016 | 60 | 2016 |
| Transformation-invariant representation and NMF J Eggert, H Wersing, E Korner 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 57 | 2004 |
| Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM) V Losing, B Hammer, H Wersing Knowledge and Information Systems 54, 171-201, 2018 | 54 | 2018 |
| Trainable autonomous lawn mower N Einecke, M Franzius, H Wersing US Patent 9,137,943, 2015 | 54 | 2015 |
| A life-long learning vector quantization approach for interactive learning of multiple categories S Kirstein, H Wersing, HM Gross, E Körner Neural Networks 28, 90-105, 2012 | 52 | 2012 |
| Peripersonal space and object recognition for humanoids C Goerick, H Wersing, I Mikhailova, M Dunn 5th IEEE-RAS International Conference on Humanoid Robots, 2005., 387-392, 2005 | 52 | 2005 |
| Robot with vision-based 3D shape recognition M Franzius, H Wersing US Patent 8,731,719, 2014 | 51 | 2014 |
| A biologically motivated visual memory architecture for online learning of objects S Kirstein, H Wersing, E Körner Neural Networks 21 (1), 65-77, 2008 | 51 | 2008 |
| Co-evolutionary modular neural networks for automatic problem decomposition VR Khare, X Yao, B Sendhoff, Y Jin, H Wersing 2005 IEEE Congress on Evolutionary Computation 3, 2691-2698, 2005 | 49 | 2005 |
