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TU Berlin

Inhalt des Dokuments

All Publications

Hasenjäger, M., Ritter, H. and Obermayer, K. (1999). Active Topographic Mapping of Proximities. 9th International Conference on Artificial Neural Networks - ICANN99. IEEE, 952 – 957.,10.1049/cp:19991235

Hasenjäger, M., Ritter, H. and Obermayer, K. (1999). Active Learning in Self-Organizing Maps. Kohonen Maps. Elsevier, 57–70.,

Herbrich, R., Graepel, T., Bollmann-Sdorra, P. and Obermayer, K. (1998). Learning a Preference Relation for Information Retrieval. Working Notes of the AAAI Workshop on Information Retrieval 98, 83 – 86.,

Herbrich, R., Graepel, T. and Obermayer, K. (2000). Large Margin Rank Boundaries for Ordinal Regression. Advances in Large Margin Classifiers. MIT Press, 115 – 132.,

Herbrich, R., Graepel, T. and Obermayer, K. (1999). Support Vector Learning for Ordinal Regression. 9th International Conference on Artificial Neural Networks - ICANN99. IEEE, 97 – 102.,10.1049/cp:19991091

Herbrich, R., Keilbach, M., Graepel, T., Bollmann-Sdorra, P. and Obermayer, K. (1999). Neural Networks in Economics: Background, Applications and New Developments. Advances in Computational Economics: Computational Techniques for Modelling Learning in Economics. Kluwer Academics, 169 – 196.,


Graepel, T., Herbrich, R., Schoelkopf, B., Smola, A., Bartlett, P., Mueller, K., Obermayer, K. and Williamson, R. (1999). Classification on Proximity Data with LP-Machines. 9th International Conference on Artificial Neural Networks - ICANN99. IEEE, 304 – 309.,10.1049/cp:19991126


Natora, M., Franke, F. and Obermayer, K. (2010). Spike Detection in Extracellular Recordings by Hybrid Blind Beamforming. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 4636 – 4641.

Franke, F., Natora, M., Meier, P., Hagen, E., Pettersen, K., Linden, H., Einevoll, G. and Obermayer, K. (2010). An Automated Online Positioning System and Simulation Environment for Multi-Electrodes in Extracellular Recordings. Proceedings of 32nd Annual International Conference of the IEEE EMBS, 593 – 597.,10.1109/IEMBS.2010.5626631


Neubauer, N. and Obermayer, K. (2009). Hyperincident Connected Components in Tagging Networks. ACM SIGIWEB Newsletter, 229 – 238.

Seo, S., Beck, A., Matthis, C., Genauck, A., Banaschewski, T., Bokde, A., Bromberg, U., Büchel, C., Quinlan, E., Flor, H., Frouin, V., Garavan, H., Gowland, P., Ittermann, B., Martinot, J., Martinot, M., Nees, F., Orfanos, D., Poustka, L., Hohmann, S., Froehner, J., Smolka, M., Walter, H., Whelan, R., Desrivieres, S., Heinz, A., Schumann, G. and Obermayer, K. (2019). Risk Profiles for Heavy Drinking in Adolescence: Differential Effects of Gender. Addiction Biology, 24, 787-801.

Seo, S., Mohr, J., Beck, A., Wüstenberg, T., Heinz, A. and Obermayer, K. (2015). Predicting the future relapse of alcohol-dependent patients from structural and functional brain images. Addiction Biology, 20, 1042-1055.

Spanagel, R., Durstewitz, D., Hansson, A., Heinz, A., Kiefer, F., Köhr, G., Matthäus, F., Nöthen, M. M., Noori, H. R., Obermayer, K., Rietschel, M., Schloss, P., Scholz, H., Schumann, G., Smolka, M., Sommer, W., Vengeliene, V., Walter, H., Wurst, W., Zimmermann, U. S., Group, A. G. R., Stringer, S., Smits, Y. and Derks, E. M. (2013). A systems medicine research approach for studying alcohol addiction. Addiction Biology, 18, 883–896.


Obermayer, K., Sejnowski, T. and Blasdel, G. (1995). Neural Pattern Formation via a Competitive Hebbian Mechanism. Behaviour Brain Research, 66, 151 – 160.

Hochreiter, S., Clevert, D.-A. and Obermayer, K. (2006). A New Summarization Method for Affymetrix Probe Level Data. Bioinformatics, 22, 943 – 949.

Hochreiter, S., Heusel, M. and Obermayer, K. (2007). Fast Model-based Protein Homology Detection without Alignment. Bioinformatics, 23, 1728 – 1736.

Piepenbrock, C. and Obermayer, K. (2000). The Effect of Intracortical Competition on the Formation of Topographic Maps in Models of Hebbian Learning. Biological Cybernetics, 82, 345 – 353.

Stetter, M., Bartsch, H. and Obermayer, K. (2000). A Mean Field Model for Orientation Tuning, Contrast Saturation and Contextual Effects in Area 17. Biological Cybernetics, 82, 291 – 304.

Brunner, K., Kussinger, M., Stetter, M. and E.W., L. (1998). A Neural Network Model for the Emergence of Grating Cells. Biological Cybernetics, 78, 389 – 397.

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