| Kupas, K., Klebe, G., Ultsch, A.: Comparison of substructural epitopes in enzyme active sites using self-organizing maps, In Journal of Computer-Aided Molecular Design, Vol. 18, (2004), pp. 697-708 |
| Ultsch, A., Kaempf, D.: Knowledge Discovery in DNA Microarray Data of Cancer Patients with Emergent Self Organizing Maps, In Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2004) |
| Kupas, K., Klebe, G., Ultsch, A.: An algorithm for finding similarities in protein active sites, In Proceedings ICBA 2004, Fort Lauderdale, Florida, USA, (2004) |
| Moerchen, F., Ultsch, A., Noecker, M., Stamm, C.: Databionic visualization of music collections according to perceptual distance, Proceedings 6th International Conference on Music Information Retrieval (ISMIR 2005), London, UK, pp. 396-403 |
| Ultsch, A., Moutarde, F.: U*F Clustering: a new performant Cluster-mining method based on segmentation of Self-Organizing Maps, In Proceedings Workshop on Self-Organizing Maps, Paris, France, (2005), pp. 25-32 |
| Moerchen, F., Ultsch, A., Noecker, M., Stamm, C.: Visual mining in music collections, In Proceedings 29th Annual Conference of the German Classification Society (GfKl 2005), Magdeburg, Germany (to appear) |
| Moerchen, F., Ultsch, A., Hoos, O.: Extracting interpretable muscle activation patterns with Time Series Knowledge Mining, In International Journal of Knowledge-Based & Intelligent Engineering Systems (to appear), (2005) |
| Koch, O., Kupas, K., Ultsch, A., Klebe, G.: Involvement of turns in ligand binding: Using Secbase to analyse secondary structure elements GCB 2005, Hamburg, Germany |
