| Kohonen's self organizing feature maps for exploratory data analysis A Ultsch INNC'90, 1990 | 1019 | 1990 |
| Self-organizing neural networks for visualisation and classification A Ultsch Information and Classification: Concepts, Methods and Applications …, 1993 | 601 | 1993 |
| Clustering with som: U^* c A Ultsch Proc. Workshop on Self-Organizing Maps, 2005, 2005 | 356 | 2005 |
| Maps for the visualization of high-dimensional data spaces A Ultsch Proc. Workshop on Self organizing Maps, 225-230, 2003 | 342 | 2003 |
| ESOM-Maps: tools for clustering, visualization, and classification with Emergent SOM A Ultsch, F Mörchen Univ., 2005 | 302 | 2005 |
| U*-matrix: a tool to visualize clusters in high dimensional data A Ultsch Univ., Fachbereich Mathematik und Informatik, 2003 | 233 | 2003 |
| Data mining and knowledge discovery with emergent self-organizing feature maps for multivariate time series A Ultsch Kohonen maps, 33-45, 1999 | 203 | 1999 |
| Optimizing time series discretization for knowledge discovery F Mörchen, A Ultsch Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 172 | 2005 |
| Machine learning in pain research J Lötsch, A Ultsch Pain 159 (4), 623-630, 2018 | 167 | 2018 |
| Self organized feature maps for monitoring and knowledge aquisition of a chemical process A Ultsch ICANN’93: Proceedings of the International Conference on Artificial Neural …, 1993 | 150 | 1993 |
| Efficient mining of understandable patterns from multivariate interval time series F Mörchen, A Ultsch Data mining and knowledge discovery 15, 181-215, 2007 | 126 | 2007 |
| Targeting lipid metabolism by the lipoprotein lipase inhibitor orlistat results in apoptosis of B-cell chronic lymphocytic leukemia cells CP Pallasch, J Schwamb, S Königs, A Schulz, S Debey, D Kofler, ... Leukemia 22 (3), 585-592, 2008 | 122 | 2008 |
| Pareto density estimation: A density estimation for knowledge discovery A Ultsch Innovations in Classification, Data Science, and Information Systems …, 2005 | 115 | 2005 |
| Databionic Visualization of Music Collections According to Perceptual Distance. F Mörchen, A Ultsch, M Nöcker, C Stamm ISMIR, 396-403, 2005 | 98 | 2005 |
| Knowledge extraction from self-organizing neural networks A Ultsch Information and Classification: Concepts, Methods and Applications …, 1993 | 94 | 1993 |
| Modeling timbre distance with temporal statistics from polyphonic music F Morchen, A Ultsch, M Thies, I Lohken IEEE Transactions on Audio, Speech, and Language Processing 14 (1), 81-90, 2005 | 93 | 2005 |
| The architecture of emergent self-organizing maps to reduce projection errors. A Ultsch, L Herrmann Esann, 1-6, 2005 | 91 | 2005 |
| Computed ABC analysis for rational selection of most informative variables in multivariate data A Ultsch, J Lötsch PloS one 10 (6), e0129767, 2015 | 87 | 2015 |
| Emergence in self organizing feature maps A Ultsch International Workshop on Self-Organizing Maps: Proceedings, 2007 | 85 | 2007 |
| Machine-learned cluster identification in high-dimensional data A Ultsch, J Lötsch Journal of biomedical informatics 66, 95-104, 2017 | 80 | 2017 |
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