Publikationen
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2017
2016
2015
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Coleca, F., State, A., Klement, S., Barth, E., and Martinetz, T.: Self-organizing maps for hand and full body tracking: Neurocomputing, vol. 147, Elsevier, pp. 174-184, 2015, Advances in Self-Organizing Maps Subtitle of the special issue: Selected Papers from the Workshop on Self-Organizing Maps 2012 (WSOM 2012)
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Dornseifer, S., Willkomm, S., Kretschmer-Kazemi Far, R., Liebschwager, J., Beltsiou, F., Frank, K., Laufer, S. D., Martinetz, T., Sczakiel, G., Claussen, J. C., and Restle, T.: RNAi revised-target mRNA-dependent enhancement of gene silencing: Nucleic acids research, vol. 43, no. 22, pp. 10623-10632, 2015
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Krause, C., Ens, K., Fechner, K., Voigt, J., Fraune, J., Rohwäder, E., Hahn, M., Danckwardt, M., Feirer, C., Barth, E., Martinetz, T., and Stöcker, W.: EUROPattern Suite technology for computer-aided immunofluorescence microscopy in autoantibody diagnostics: Lupus, vol. 24, no. 4-5, pp. 516-529, 2015
2014
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Hocke, J. and Martinetz, T.: Global Metric Learning by Gradient Descent: Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings, vol. 8681, Wermter, S., Weber, C., Duch, W., Honkela, T., Koprinkova-Hristova, P. D., Magg, S., Palm, G., and Villa, A. E. P. (Ed.), Springer, pp. 129-135, 2014
2013
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Hochstrate, N., Krause, C., Ens, K., Danckwardt, M., Feirer, C., Affeldt, K., Rateike, M., Morrin, M., Wuttig, D., Voigt, J., Fechner, K., Barth, E., Martinetz, T., and Stöcker, W.: Computer-aided immunofluorescence microscopy (CAIFM) for ANCA diagnostics: La Presse Medicale, vol. 42, no. 4, Elsevier Masson, , 2013
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Hochstrate, N., Krause, C., Ens, K., Danckwardt, M., Feirer, C., Rohwäder, E., Hahn, M., Affeldt, K., Rateike, M., Morrin, M., Wuttig, D., Fechner, K., Barth, E., Stöcker, W., Martinetz, T., and Voigt, J.: ANA and ANCA diagnostics with computer-aided immunofluorescence microscopy (CAIFM): Zeitschrift für Rheumatologie, vol. 72, Springer Heidelberg, , 2013
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Hocke, J. and Martinetz, T.: Feature Weighting by Maximum Distance Minimization: Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings, vol. 8131, Mladenov, V., Koprinkova-Hristova, P. D., Palm, G., Villa, A. E. P., Appollini, B., and Kasabov, N. (Ed.), Springer, pp. 420-425, 2013
2012
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Pomarjanschi, L., Dorr, M., and Barth, E.: Gaze guidance reduces the number of collisions with pedestrians in a driving simulator: ACM Transactions on Interactive Intelligent Systems, vol. 1, no. 2, pp. 8:1-8:14, 2012, ((c) ACM, 2012. This is the author`s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Interactive Intelligent Systems, January 2012.)
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Schütze, H., Martinetz, T., Anders, S., and Mamlouk, A. M.: A Multivariate Approach to Estimate Complexity of FMRI Time Series: Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II, vol. 7553, Villa, A. E., Duch, W., `Erdi, P., Masulli, F., and Palm, G. (Ed.), Springer, pp. 540-547, 2012
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Voigt, J., Krause, C., Rohwäder, E., Saschenbrecker, S., Hahn, M., Danckwardt, M., Feirer, C., Ens, K., Fechner, K., Barth, E., Martinetz, T., and Stöcker, W.: Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells: Clinical and Developmental Immunology, vol. 2012, 2012, 7 pages
2011
2010
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Dorr, M., Jarodzka, H., and Barth, E.: Space-Variant Spatio-Temporal Filtering of Video for Gaze Visualization and Perceptual Learning: Eye-tracking research & applications, pp. 307-314, 2010, copyright ACM, 2010. This is the author`s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye tracking research & applications 2010, Austin, Texas, 22-2
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Kandaswamy, K. K., Pugalenthi, G., Hartmann, E., Kalies, K., Möller, S., Suganthan, P., and Martinetz, T.: SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes: Biochemical and biophysical research communications, vol. 391, no. 3, pp. 1306-1311, 2010
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Kandaswamy, K. K., Pugalenthi, G., Möller, S., Hartmann, E., Kalies, K., .N.Suganthan, ., and Martinetz, T.: Prediction of apoptosis protein locations with Genetic Algorithms and Support Vector Machines through a new mode of pseudo amino acid composition: Protein Peptide Letters, vol. 17, pp. 1473-1479, 2010
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Shameer, K., Pugalenthi, G., Kandaswamy, K. K., Suganthan, P. N., Archunan, G., and Sowdhamini, R.: Insights in to protein sequence and structure derived features mediating 3D domain swapping mechanism using Support Vector Machine based approach: Bioinformatics and Biology Insights, vol. 4, pp. 33-42, 2010
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Klement, S. and Martinetz, T.: The Support Feature Machine for Classifying with the Least Number of Features: Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, vol. 6353, Diamantaras, K. I., Duch, W., and Iliadis, L. S. (Ed.), Springer, pp. 88-93, 2010
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Pugalenthi, G., Kandaswamy, K. K., Suganthan, P. N., .Sowdhamini, ., Martinetz, T., and Kolatkar, P.: SMpred: A Support Vector Machine Approach to Identify Structural Motifs in Protein Structure Without Using Evolutionary Information: Journal of Biomolecular Structure and Dynamics, vol. 28, no. 3, 2010
2009
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Haker, M., Böhme, M., Martinetz, T., and Barth, E.: Deictic Gestures With A Time-of-Flight Camera: Gesture in Embodied Communication and Human-Computer Interaction - International Gesture Workshop GW 2009, vol. 5934, Kopp, S. and Wachsmuth, I. (Ed.), Springer, pp. 110-121, 2009, http://www.springerlink.com/content/uw12051512tk5261/
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Haker, M., Martinetz, T., and Barth, E.: Multimodal Sparse Features for Object Detection: Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, vol. 5769, Springer, pp. 923-932, 2009, http://www.springerlink.com/content/574230078m0228wh/
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Jarodzka, H., Scheiter, K., Gerjets, P., Gog, T. v., and Dorr, M.: How to convey perceptual skills by displaying experts` gaze data: Proceedings of the 31st Annual Conference of the Cognitive Science Society, Taatgen, N. A. and Rijn, H. v. (Ed.), Austin, TX: Cognitive Science Society, pp. 2920-2925, 2009
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Labusch, K., Barth, E., and Martinetz, T.: Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas: Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009, vol. 5629, Principe, J. and Miikkulainen, R. (Ed.), Springer, series Lecture Notes in Computer Science, pp. 145-153, 2009
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Labusch, K., Barth, E., and Martinetz, T.: Demixing Jazz-Music: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources: Neural Network World, vol. 19, no. 5, Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague, pp. 561-579, 2009
2008
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Böhme, M., Dorr, M., Graw, M., Martinetz, T., and Barth, E.: A Software Framework for Simulating Eye Trackers: Proceedings of Eye Tracking Research & Applications (ETRA), pp. 251-258, 2008,, copyright ACM, 2008. This is the author`s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye Tracking Research & Applications 2008, Savannah, Georgia,
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Garbe, C. S., Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., Barth, E., Mester, R., and Jähne, B.: Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns: Mathematical Methods in Time Series Analysis and Digital Image Processing, Dahlhaus, R., Kurths, J., Maass, P., and Timmer, J. (Ed.), Springer, pp. 231-288, 2008
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Klement, S., Madany Mamlouk, A., and Martinetz, T.: Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios: Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, vol. 5163, Kurková, V., Neruda, R., and Koutn`ik, J. (Ed.), Springer, pp. 41-50, 2008, http://www.springerlink.com/content/a852001534335865/
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Labusch, K., Barth, E., and Martinetz, T.: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources: Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, vol. 5163, Kurková, V., Neruda, R., and Koutn`ik, J. (Ed.), Springer, pp. 788-797, 2008
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Linsel-Nitschke, P., Goetz, A., Erdmann, J., Braenne, I., Braund, P., Hengstenberg, C., Stark, K., Fischer, M., Schreiber, S., Mokhtari, N. E. E., Schaefer, A., Schrezenmeir, J., Schrezenmeier, J., Rubin, D., Hinney, A., Reinehr, T., Roth, C., Ortlepp, J., Hanrath, P., Hall, A. S., Mangino, M., Lieb, W., Lamina, C., Heid, I. M., Doering, A., Gieger, C., Peters, A., Meitinger, T., Wichmann, H., Koenig, I. R., Ziegler, A., Kronenberg, F., Samani, N. J., and Schunkert, H.: Lifelong reduction of LDL-cholesterol related to a common variant in the LDL-receptor gene decreases the risk of coronary artery disease-a Mendelian Randomisation study: PloS One, vol. 3, no. 8, , 2008, PMID: 18714375
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Röhl, T., Traulsen, A., Claussen, J. C., and Schuster, H. G.: Stochastic gain in finite populations: Physical Review E, vol. 78, , 2008
@article{RoTrClSc08, author = {Torsten R{\"o}hl and Arne Traulsen and Jens Christian Claussen and Heinz Georg Schuster}, title = {Stochastic gain in finite populations}, journal = {Physical Review E}, pages = {026108}, volume = {78}, year = {2008}, abstract = {Flexible learning rates can lead to increased payoffs under the influence of noise. In a previous paper [Traulsen et al., Phys. Rev. Lett. 93, 028701 (2004)], we have demonstrated this effect based on a replicator dynamics model which is subject to external noise. Here, we utilize recent advances on finite population dynamics and their connection to the replicator equation to extend our findings and demonstrate the stochastic gain effect in finite population systems. Finite population dynamics is inherently stochastic, depending on the population size and the intensity of selection, which measures the balance between the deterministic and the stochastic parts of the dynamics. This internal noise can be exploited by a population using an appropriate microscopic update process, even if learning rates are constant.}, url = {http://dx.doi.org/10.1103/PhysRevE.78.026108}, }
2007
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Samani, N. J., Erdmann, J., Hall, A. S., Hengstenberg, C., Mangino, M., Mayer, B., Dixon, R. J., Meitinger, T., Braund, P., Wichmann, H., Barrett, J. H., Koenig, I. R., Stevens, S. E., Szymczak, S., Tregouet, D., Iles, M. M., Pahlke, F., Pollard, H., Lieb, W., Cambien, F., Fischer, M., Ouwehand, W., Blankenberg, S., Balmforth, A. J., Baessler, A., Ball, S. G., Strom, T. M., Braenne, I., Gieger, C., Deloukas, P., Tobin, M. D., Ziegler, A., Thompson, J. R., and Schunkert, H.: Genomewide association analysis of coronary artery disease: The New England Journal of Medicine, vol. 357, no. 5, pp. 443-453, 08 2007, PMID: 17634449
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Claussen, J. C.: Offdiagonal complexity: A computationally quick network complexity measure - Application to protein networks and cell division.: Mathematical Modeling of Biological Systems, Volume II., Birkhäuser, Boston, pp. 279-287, 2007, (eds. A. Deutsch and R. Bravo de la Parra and R. de Boer and O. Diekmann and P. Jagers and E. Kisdi and M. Kretzschmar and P. Lansky and H. Metz)
2006
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Barth, E., Dorr, M., Böhme, M., Gegenfurtner, K. R., and Martinetz, T.: Guiding the mind`s eye: improving communication and vision by external control of the scanpath: Human Vision and Electronic Imaging, vol. 6057, Rogowitz, B. E., Pappas, T. N., and Daly, S. J. (Ed.), 2006, Invited contribution for a special session on Eye Movements, Visual Search, and Attention: a Tribute to Larry Stark.
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Böhme, M., Dorr, M., Martinetz, T., and Barth, E.: Gaze-Contingent Temporal Filtering of Video: Proceedings of Eye Tracking Research & Applications (ETRA), pp. 109-115, 2006,, copyright ACM, 2006. This is the author`s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye Tracking Research & Applications 2006, San Diego, Californ
2005
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Aidinis, V., Carninci, P., Armaka, M., Witke, W., Harokopos, V., Pavelka, N., Koczan, D., Argyropoulos, C., Thwin, M., Möller, S., Kazunori, W., Gopalakrishnakone, P., Ricciardi-Castagnoli, P., Thiesen, H., Hayashizaki, Y., and Kollias, G.: Cytoskeletal rearrangements in synovial fibroblasts as a novel pathophysiological determinant of modeled rheumatoid arthritis.: PLoS Genet., vol. 1, no. 4, , 2005
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Martinetz, T., Labusch, K., and Schneegass, D.: SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.: Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II, Duch, W., Kacprzyk, J., Oja, E., and Zadrozny, S. (Ed.), pp. 301-306, 2005
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Möller, S., Serrano-Fernández, P., Watson, M., Koczan, D., Kotsikoris, V., Kunz, M., Blüggel, M., Pahnke, J., Illges, H., Mikkat, S., Thiesen, H., Glocker, M. O., Zettl, U. K., and Ibrahim, S. M.: Collection of soluble variants of membrane proteins for transcriptomics and proteomics.: In Silico Biol., vol. 5, no. 3, pp. 295-311, 2005
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Mota, C., Stuke, I., Aach, T., and Barth, E.: Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions: Complex Motion. Proceedings of the 1st International Workshop on Complex Motion, Schloss Reisensburg, Germany, Oct. 2004 . Lecture Notes on Computer Science, LNCS, vol. 3417, Jähne, B., Mester, R., Barth, E., and Scharr, H. (Ed.), Springer, Berlin, pp. 66-78, 2005
2004
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Stuke, I., Aach, T., Barth, E., and Mota, C.: Estimation of multiple motions using block-matching and Markov random fields: Visual Communications and Image Processing 2004, IS&T/SPIE 16th Annual Symposium Electronic Imaging, Proceedings of SPIE, vol. 5308, Panchanathan, S. and Vasudev, B. (Ed.), San Jose, California, pp. 486-496, 2004
2003
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Mota, C., Dorr, M., Stuke, I., and Barth, E.: Categorization of Transparent-Motion Patterns Using the Projective Plane: Proceedings of the ACIS Fourth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD`03), Dosch, W. and Lee, R. Y. (Ed.), International Association for Computer and Information Science, pp. 363-369, 10 2003, ISBN 0-9700776-7-x
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Stuke, I., Aach, T., Mota, C., and Barth, E.: Linear and regularized solutions for multiple motions: Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, vol. III, Vasudev, B., Hsing, T. R., Tescher, A. G., and Ebrahimi, T. (Ed.), IEEE Signal Processing Soc., Hong Kong, pp. 157-160, 04 2003, Conference was canceled due to SARS
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Stuke, I., Aach, T., Barth, E., and Mota, C.: Estimation of Multiple Motions by Block Matching: Proceedings of the ACIS 4th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD`03), Lübeck, Germany, October 16-18, 2003, Dosch, W. and Lee, R. Y. (Ed.), pp. 358-362, 2003
2002
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Repsilber, D., Kim, J. T., Liljenström, H., and Martinetz, T.: Using Coarse-Grained, Discrete Systems for Data-Driven Inference of Regulatory Gene Networks: Perspectives and Limitations for Reverse Engineering: Proceedings of the Fifth German Workshop on Artificial Life, Polani, D., Kim, J. T., and Martinetz, T. (Ed.), infix / Akademische Verlagsgesellschaft Aka, Berlin, pp. 67-76, 2002
2001
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Kim, J. T., Martinetz, T., and Polani, D.: On the Effects of Transcription Factor Properties on the Information Content of Binding Sites: Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Maschroder Weg 1, 38124 Braunschweig, Germany, Wingender, E., Hofestädt, R., and Liebich, I. (Ed.), pp. 192-194, 2001
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Kim, J. T., Schwöbbermeyer, H., Theissen, G., and Saedler, H.: Biodiversitätsmessung bei Pflanzen anhand molekularer Daten: Biodiversität. Wissenschaftliche Grundlagen und gesellschaftliche Relevanz. Band 10 der Reihe Wissenschaftsethik und Technologiefolgenbeurteilung, Janich, P., Gutmann, M., and Priess, K. (Ed.), Springer Verlag, Berlin, Heidelberg, pp. 181-234, 2001
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Wingen, L. U., Kim, J. T., Saedler, H., and Dekker, K.: ZIGIA-DB: A versatile Database for Handling Complex Functional Genomic Data of Arabidopsis thaliana: Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Mascheroder Weg 1, 38124 Braunschweig, Germany, Wingender, E., Hofestädt, R., and Liebich, I. (Ed.), pp. 234-235, 2001
2000
1999
1998
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Wilke, C. O. and Martinetz, T.: A coarse-grained model of evolution with variable system size: 2nd German Workshop on Artificial Life, Dortmund 1998 SYS Report, Internal Report of Systems Analysis Research Group, University of Dortmund, Department of Computer Science, Dortmund, Germany, Dittrich, P., Rauhe, H., and Banzhaf, W. (Ed.), 1998
1997
1996
1995
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Martinetz, T., Protzel, P., and Gramckow, O.: Walzwerksteuerung mit neuronalen Netzen: Neuronale Netze: Anwendungen in der Automatisierungstechnik, Bericht 1184, VDI-Verlag, Düsseldorf, pp. 35-42, 1995, Auch im Jahrbuch 1997 der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, pages 333-340, Düsseldorf 1995. VDI-Verlag
1994
1993
1992
1991
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Berkovich, S., Dalger, P., Hesselroth, T., Martinetz, T., Noël, B., Walter, J., and Schulten, K.: Vector quantization algorithm for time-series prediction and visuo-motor control of robots: Verteilte Künstliche Intelligenz und Kooperatives Arbeiten, Brauer, H. W. (Ed.), Heidelberg, pp. 443-447, 1991
1990
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Martinetz, T., Ritter, H., and Schulten, K.: Learning of Visuomotor-Coordination of a Robot Arm with Redundant Degrees of Freedom: Proceedings of the International Conference on Parallel Processing in Neural Sytems and Computers (ICNC-90), Düsseldorf 1990, Eckmiller, R., Hartmann, G., and Hauske, G. (Ed.), Amsterdam, pp. 431-434, 1990, And in: Proceedings of the Third International Symposium on Robotics and Manufacturing, Vancouver 1990 (ISRAM-90), pages 521-526, 1990
1989
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1980
1979
1978
1976
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1972
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