Publications

Books   1 Seiffert, U.; Jain, L.C.; Schweizer, P. (Eds.). Bioinformatics using Computational Intelligence Paradigms. Springer, Heidelberg, 2005. [ISBN 3-540-22901-9.   2 U. Seiffert and L.C. Jain, editors. Self-Organizing Neural Networks: Recent Advances and Applications, volume 78 of Studies in Fuzziness and Soft Computing. Springer Verlag, Heidelberg, 2002.   3 Seiffert, U. Wachsende mehrdimensionale Selbstorganisierende Karten zur Analyse bewegter Szenen. PhD Thesis, University of Magdeburg, Germany; Faculty of Electrical Engineering, 1998.   Book Chapters   1 Strickert, M.; Sreenivasulu, N.; Peterek, S.; Weschke, W.; Mock, H.-P.; Seiffert, U. Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data. In Schwenker, F. et al. (Eds.): Artificial Neural Networks in Pattern Recognition. LNAI 4087, pp. 274-285, Springer, Heidelberg, 2006. [ISBN 978-3-540-37951]   2 Villmann, T.; Seiffert, U.; Schleif, F.-M.; Brüß, C.; Geweniger, T.; Hammer B. Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. In Schwenker, F. et al. (Eds.): Artificial Neural Networks in Pattern Recognition. LNAI 4087, pp. 46-56, Springer, Heidelberg, 2006. [ISBN 978-3-540-37951]   3 Strickert, M.; Czauderna, T.; Peterek, S.; Matros, A.; Mock, H.-P.; Seiffert, U. Full-length HPLC Signal Clustering and Biomarker Identification in Tomato Plants. In Ruan, D. et al. (Eds.): Applied Artificial Intelligence, pp. 549-556, World Scientific, Singapore, 2006. [ISBN 981-256-690-2]   4 Villmann, T.; Hammer, B.; Seiffert, U. Perspectives of Self-Adapted Self-Organizing Clustering in Organic Computing. In Ijspeert, A. et al. (Eds.): Biologically Inspired Approaches to Advanced Information Technology. LNCS 3853, pp. 141-159, Springer, Berlin, 2006. [ISBN 3-540-31253-6]   5 Tautenhahn, R.; Ihlow, A.; Seiffert, U. Adaptive Feature Selection for Classification of Microscope Images. In Bloch, I. et al. (Eds.): Fuzzy Logic and Applications: 6th International Workshop, WILF 2005, Revised Selected Papers. LNAI 3849, pp. 215-222, Springer, Berlin, 2006. [ISBN 3-540-32529-8]   6 Seiffert, U. Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks. In Seiffert, U. et al. (Eds.): Bioinformatics Using Computational Intelligence Paradigms, pp. 57-74, Springer, Heidelberg, 2005. [ISBN 3-540-22901-9]   7 Strickert, M.; Teichmann, S.; Sreenivasulu, N.; Seiffert, U. High-Throughput Multi-Dimensional Scaling (Hit-MDS) for cDNA-Array Expression Data. In Duch, W. et al. (Eds.): Artificial Neural Networks: Biological Inspirations – ICANN 2005. LNCS 3696, pp. 625-634, Springer, Heidelberg, 2005. [ISBN 3-540-28752-3]   8 Seiffert, U. Biologically Inspired Image Compression in Biomedical High-Throughput Screening. In Ijspeert, A.J. et al. (Eds.): Biologically Inspired Approaches to Advanced Information Technology. LNCS 3141, pp. 428-440, Springer, Berlin, 2004. [ISBN 3-540-23339-3]   9 Krell, G.; Rebmann, R.; Seiffert, U.; Michaelis, B. Improving Still Image Coding by an SOM-controlled Associative Memory. In Sanfeliu, A. et al. (Eds.): Progress in Pattern Recognition, Speech and Image Analysis. LNCS 2905, pp. 571-579, Springer, Berlin, 2003. [ISSN 0302-9743]   10 Seiffert, U. Growing Multi-Dimensional Self-Organizing Maps for Motion Detection. In Seiffert, U. et al. (Eds.): Self-Organizing Neural Networks - Recent Advances and Applications, pp. 95-120, Springer, Heidelberg, 2001. [ISBN 3-7908-1417-2]     11 Seiffert, U.; Michaelis, B. Directed Random Search for Multiple Layer Perceptron Training. In: D.J. Miller et al. (Eds): Neural Networks for Signal Processing XI, pp. 193-202, IEEE, Piscataway, USA, 2001. [ISBN 0-7803-7196-8; IEEE Catalog 01TH8584]     12 Sommerkorn, G.; Seiffert, U.; Surmeli, D.; Herzog, A.; Michaelis, B.; Braun, K. Classification of 3-D Dendritic Spines using Self-Organizing Maps. In Smith, G.D. et al. (Eds.): Artificial Neural Nets and Genetic Algorithms. Springer Series Computer Science, pp. 129-132, Springer, Wien, 1997. [ISBN 3-211-83087-1]       Journal Papers   1 Strickert, M.; Seiffert, U.; Sreenivasulu, N.; Weschke, W.; Villmann, T.; Hammer, B. Generalized Relevance LVQ (GRLVQ) with Correlation Measures for Gene Expression Data. Neurocomputing, Vol. 69, pp. 651-659, 2006.   2 Seiffert, U.; Schweizer, P A Pattern Recognition Tool for Quantitative Analysis of in Planta Hyphal Growth of Powdery Mildew Fungi. Journal of Molecular Plant-Microbe Interactions, Vol. 18, No. 9, pp. 906-912, 2005.   3 Seiffert, U. Artificial Neural Networks on Massively Parallel Computer Hardware. Neurocomputing, Vol. 57, pp. 135-150. [ISSN 0925-2312]   4 Günther, E.; Hellmann, M.; Seiffert, U. Zur Brutphänologie baumbrütender Mauersegler Apus apus im nordöstlichen Harz (Sachsen-Anhalt) - Erste Auswirkungen der aktuellen Klimaänderung? Ornithol. Jber. Mus. Heineanum, Vol. 21, 2004, pp. 57-68. [ISSN 0947-1065]     5 Seiffert, U.; Michaelis, B. Growing Multi-Dimensional Self-Organizing Maps. International Journal of Knowledge-Based Intelligent Engineering Systems, Vol. 2, No. 1, pp. 42-48, 1998. [ISSN 1327-2314]       6 Seiffert, U.; Michaelis, B. Estimating Motion Parameters with Three-Dimensional Self-Organizing Maps. Information Sciences, Vol. 101, pp. 187-201, 1997. [ISSN 0020-0255]       7 Seiffert, U.; Michaelis, B. Growing 3D-SOM's with 2D-Input Layer as a Classification Tool in a Motion Detection System. International Journal of Neural Systems (IJNS), Vol. 8, No. 1, pp. 81-89, 1997. [ISSN 0129-0657]       Patents   1 Seiffert, U.; Schünemann, S.; Michaelis, B. Verfahren zur automatischen Einteilung von Eingangsdaten in a-priori unbekannte Klassen. Patent No. DE 197 17 677 C 1, 1998     Refereed Conference Papers   1 Brüß, C.; Strickert, M.; Seiffert, U. Towards Automatic Segmentation of Serial High-Resolution Images. Proceedings Workshop Bildverarbeitung für die Medizin 2006, Hamburg, pp. 126-130, Springer-Verlag, Berlin Heidelberg, 2006.   2 Seiffert, U. Training of Large-Scale Feed-Forward Neural Networks. Proc. of the IEEE World Conference on Computational Intelligence WCCI 2006 / International Joint Conference on Neural Networks IJCNN 2006, Vancouver, Canada, pp. 10780-10785, IEEE Press, 2006. [ISBN 0-7803-9489-5]   3 Seiffert, U.; Hammer, B.; Kaski, S.; Villmann, T. Neural Networks and Machine Learning in Bioinformatics - Theory and Applications. Proc. of the 14th European Symposium on Artificial Neural Networks ESANN 2006, Bruges, Belgium, pp. 521-532, D-Side Publications, Evere, Belgium, 2006. [ISBN 2-930307-06-4]   4 Strickert, M.; Sreenivasulu, N.; Seiffert, U. Sanger-driven MDSLocalize - A Comparative Study for Genomic Data. Proc. of the 14th European Symposium on Artificial Neural Networks ESANN 2006, Bruges, Belgium, pp. 265-270, D-Side Publications, Evere, Belgium, 2006. [ISBN 2-930307-06-4]   5 Brüß, C.; Bollenbeck, F.; Schleif, F.-M.; Weschke, W.; Villmann, T.; Seiffert, U. Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. Proc. of the 14th European Symposium on Artificial Neural Networks ESANN 2006, Bruges, Belgium, pp. 563-568, D-Side Publications, Evere, Belgium, 2006. [ISBN 2-930307-06-4]   6 Ihlow, A.; Seiffert, U. Snakes revisited – speeding up active contour models using the Fast Fourier Transform. Proc. of the 8th IASTED International Conference on Intelligent Systems and Control ISC 2005, Boston, Ma., USA, pp. 416-420, ACTA Press, Anaheim, USA, 2005. [ISBN 0-88986-519-1]   7 Seiffert, U. Content Adaptive Compression of Images Using Neural Maps. Proc. of the 5th International Workshop on Self-Organizing Maps WSOM 2005, Paris, France, pp. 227-234, 2005.   8 Strickert, M.; Teichmann, S.; Sreenivasulu, N.; Seiffert, U. 'DiPPP' Online Self-Improving Linear Map for Distance-Preserving Data Analysis. Proc. of the 5th International Workshop on Self-Organizing Maps WSOM 2005, Paris, France, pp. 661-668, 2005   9 Strickert, M.; Sreenivasulu, N.; Weschke, W.; Seiffert, U.; Villmann, T. Generalized Relevance LVQ with Correlation Measures for Biological Data. Proc. of the 13th European Symposium on Artificial Neural Networks ESANN 2005, Bruges, Belgium, pp. 331-338, D-Side Publications, Evere, Belgium, 2005. [ISBN 2-930307-05-6   10 Seiffert, U. Adaptive Implementation of Artificial Neural Networks Reflecting Changing Hardware Resources at Run-Time. Proc. of the 23rd International Conference on Artificial Intelligence and Applications AIA 2005, Innsbruck, Austria, pp. 733-737, 2005. [ISBN 1-84233-110-8]   11 Czauderna, T.; Seiffert, U. Implementation of MLP networks running Backpropagation on various parallel computer hardware using MPI. Proceedings of the 5th International Conference on Recent Advances in Soft Computing (RASC), Nottingham, United Kingdom, December 16-18, 2004, pp. 116-121. [ISBN 1842331108]   12 Ihlow, A.; Seiffert, U. Haustoria segmentation in microscope colour images of barley cells. In 10. Workshop "Farbbildverarbeitung", pages 119–126, Koblenz, October 2004. Der andere Verlag.     13 Ihlow, A.; Seiffert, U. Automating microscope colour image analysis using the Expectation Maximisation algorithm. In Pattern Recognition: 26th DAGM Symposium, pages 536–543, Tübingen, Germany, August 30 – September 1, 2004. Springer.     14 Villmann, T.; Seiffert, U.; Wismüller, A. Theory and Applications of Neural Maps. Proc. of the 12. European Symposium on Artificial Neural Networks ESANN 2004, Bruges, Belgium, April 28-30, 2004, pp. 25-38, D-Side Publications, Evere, Belgium, 2004. [ISBN 2-930307-04-8]     15 Seiffert, U. Biologically Inspired Image Compression in Biomedical High-Throughput Screening. Proc. of the 1. International Workshop on Biologically Inspired Approaches to Advanced Information Technology, Lausanne, Switzerland, January 29-30, 2004, pp. 185-196.     16 Ihlow, A.; Seiffert, U. Microscope Color Image Segmentation for Resistance Analysis of Barley Cells against Powdery Mildew. Proc. of the 9. Workshop 'Farbbildverarbeitung', Esslingen, Germany, October 8-9, 2003, pp. 59-66, Schriftenreihe des ZBS Zentrum für Bild- und Signalverarbeitung e.V. Ilmenau, Report Nr. 3/2003. [ISSN 1432-3346]     17 Wismüller, A.; Seiffert, U. Digital Image Processing with Neural Networks. Proc. of the 11. European Symposium on Artificial Neural Networks ESANN 2003, Bruges, Belgium, April 23-25, 2003, pp. 493-502, D-Side Publications, Evere, Belgium, 2003. [ISBN 2-930307-03-X]     18 Rebmann, R.; Krell, G.; Seiffert, U.; Michaelis, B. Associative Correction of Compression Artefacts with a Self-Organizing Map Classifying the Image. Proc. of the Data Compression Conference DCC 2003, Snowbird, UT, USA, pp. 446, IEEE Press, Los Alamitos, 2003. [ISBN 0-7695-1869-6]     19 Seiffert, U. Artificial Neural Networks on Massively Parallel Computer Hardware. Tutorial on the 10. European Symposium on Artificial Neural Networks ESANN 2002, Bruges, Belgium, April 24-26, 2002, pp. 319-330, D-Side Publications, Evere, Belgium, 2002. [ISBN 2-930307-02-1]     20 Joshi, V.; Jain, L.C.; Seiffert, U.; Zyga, K.; Price, R.; Leisch, F. Neural Techniques in Logo Recognition. Proc. of the 1. International Workshop on Hybrid Systems HIS 2001, Adelaide, Australia, pp. 25-32, Physica-Verlag, Heidelberg, Germany, 2002. [ISBN 3-7908-1480-6     21 Machotka, J.; Nedic, Z.; Czauderna, T.; Kaewsane, P.; Vo, T.H. Postgraduate students' involvement in the development of a remote laboratory for undergraduate teaching. Seminar Proceedings : 6th Baltic Region Seminar on Engineering Education, Wismar, Germany, September 23-25, 2002, pp. 149-152, UICEE, Clayton, Victoria, Australia, 2002. [ISBN 0732622093]   22 Seiffert, U.; Michaelis, B. Multi-Dimensional Self-Organizing Maps on Massively Parallel Hardware. In: N. Allinson et al. (Eds): Advances in Self-Organising Maps - Proc. of the Workshop on Self-Organizing Maps WSOM '01, Lincoln, U.K., June 13-15, 2001, pp. 160-166, Springer-Verlag, London, 2001. [ISBN 1-85233-511-4]     23 Zizzari, A.; Seiffert, U.; Michaelis, B.; Gademann, G.; Swiderski, S. Detection of Tumor in Digital Images of the Brain. Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications SPPRA 2001, Rhodes, Greece, July 3-6, 2001, pp. 132-137, IASTED/ACTA Press, Anaheim, USA, 2001. [ISBN 0-88986-293-1]     24 Seiffert, U. Multiple Layer Perceptron Training Using Genetic Algorithms. Proc. of the 9. European Symposium on Artificial Neural Networks ESANN 2001, Bruges, Belgium, April 25-27, 2001, pp. 159-164, D-Facto, Evere, Belgium, 2001. [ISBN 2-930307-01-3]     25 Seiffert, U.; Michaelis, B. On the Gradient Descent in Backpropagation and its Substitution by a Genetic Algorithm. Proc. of the IASTED International Conference on Applied Informatics AI 2000, Innsbruck, Austria, Feb. 14-17, 2000, pp. 821-826, IASTED/ACTA Press, Anaheim, USA, 2000. [ISBN 0-88986-280-X], [ISSN 1027-2666]       26 Seiffert, U.; Michaelis, B. Indirect Unsupervised Training of Backpropagation Nets. Proc. of the International Conference on Signal and Image Processing SIP `99, Nassau, The Bahamas, Oct. 18-21, 1999, pp. 328-332, IASTED/ACTA Press, Anaheim, USA, 1999. [ISBN 0-88986-271-0]       27 Märtens, T.; Hinrichs, H.; Seiffert, U.; Heinze, H.J. Artificial Neural Networks for Automatic Trend Detection of Intraoperative EEG-Monitoring. Proc. of the 4. International Workshop on Neural Networks in Applications NN `99, Magdeburg, Germany, March 4-5, 1999, pp. 207-210. [ISBN 3-930385-20-1]       28 Seiffert, U.; Michaelis, B. Quasi-Four-Dimensional-Neuroncube and its Application to Motion Estimation. Proc. of the International Conference on Engineering Applications of Neural Networks EANN `98, Gibraltar, June 12-14, 1998, pp. 78-81, Systems Engineering Association, Turku, Finland, 1998. [ISBN 951-97868-0-5]       29 Schünemann, S.; Seiffert, U.; Michaelis, B. Two More Modifications of SOMs to Handle Signals with Special Properties. Proc. of the Workshop on Self-Organizing Maps WSOM `97, Espoo, Finnland, June 4-6, 1997, pp. 292-297, HUT, Helsinki, 1997. [ISBN 951-22-3589-7]       30 Seiffert, U.; Michaelis, B. Adaptive Three-Dimensional Self-Organizing Map with Two-Dimensional Input Layer. Proc. of the Australian New Zealand Conference on Intelligent Information Systems ANZIIS `96, Adelaide, Australia, Nov. 18-20, 1996, pp. 258-263, IEEE Press, Piscataway, 1996. [ISBN 0-7803-3667-4 (softbound); ISBN 0-7803-3668-2 (microfiche); IEEE Catalog 96TH8234]       31 Michaelis, B.; Schnelting, O.; Seiffert, U.; Mecke, R. Bildfolgenanalyse unter Nutzung Neuronaler Netze. Proc. of the DAGM `96, Heidelberg, Germany, September 11-13, 1996, pp. 73-83, Springer-Verlag, 1996. [ISBN 3-540-61585-7]       32 Michaelis, B.; Schnelting, O.; Seiffert, U.; Mecke, R. Adaptive Filtering of Distorted Displacement Vector Fields Using Artificial Neural Networks. Proc. of the International Conference on Pattern Recognition ICPR `96, Vienna, Austria, August 25-30, 1996, Vol. IV, pp. 335-339, IEEE Press, 1996. [ISBN 1051-4651]       33 Seiffert, U.; Michaelis, B. Growing 3D-SOMs with 2D-Input Layer as a Classification Tool in a Motion Detection System. Proc. of the International Conference on Engineering Applications of Neural Networks EANN `96, London, U.K., June 17-19, 1996, pp. 351-354, Abo Akademis Tryckeri, Turku, Finland, 1996. [ISBN 952-90-7517-0]       34 Michaelis, B.; Schnelting, O.; Seiffert, U.; Mecke, R. Application of Artificial Neural Networks for Improved Motion Analysis. Proc. of the International Conference on Signal and Image Processing SIPA `96, Annecy, France, June 10-12, 1996, pp. 248-251, IASTED/ACTA Press, Anaheim, USA, 1996. [ISBN 0-88986-203-6]       35 Herzog, A.; Sommerkorn, G.; Seiffert, U.; Michaelis, B.; Braun, K.; Zuschratter, W. Rekonstruktion und Klassifikation dendritischer Spines aus konfokalen Bilddaten. In Lehmann u.a. (Hrsg.): Bildverarbeitung für die Medizin. Tagungsband des Aachener Workshops, Aachen, 8.-9. Nov. 1996, S. 65-70, Augustinus Verlag, Aachen, 1996. [ISBN 3-86073-519-5]       36 Seiffert, U.; Michaelis, B. Classification of Image Properties for Motion Estimation with 3-dimensional Self-Organizing Maps. Proc. of the International Conference on Signal and Image Processing SIP `95, Las Vegas, USA, Nov. 20-23, 1995, pp. 233-236, IASTED/ACTA Press, Anaheim, USA, 1995. [ISBN 0-88986-185-4]       37 Seiffert, U.; Michaelis, B. Three-Dimensional Self-Organizing Maps for Classification of Image Properties. Proc. of the International Conference on Artificial Neural Networks and Expert Systems ANNES `95, Dunedin, New Zealand, Nov. 20-23, 1995, pp. 310-313, IEEE Computer Society Press, Los Alamitos, USA, 1995. [ISBN 0-8186-7174-2]       38 Michaelis, B.; Schnelting, O.; Seiffert, U.; Mecke, R. Motion Estimation Using a Compounded SOM-MLP Network. Proc. of the World Conference on Neural Networks WCNN `95, Washington, USA, July 17-21, 1995, Vol. 3, pp. 103-106, INNS Press, 1995. [ISBN 8058-2203-8]       39 Schnelting, O.; Seiffert, U.; Michaelis, B. Bestimmung von Bewegungsgrößen in komplexen Szenen mit künstlichen neuronalen Netzen. 1. Kolloquium Neuroinformatik, 21.-22.07.94, S. 29-32, Dresden       40 Seiffert, U.; Michaelis, B. Estimating Motion Parameters from Image Sequences by Self-Organizing Maps. 39. Internationales Wissenschaftliches Kolloquium (27.-30.09.94), Bd. 2, S. 75-82. Verlag E. Weißpflug, Großbreitenbach (Thür.), 1994. [ISSN 0943-7207]       Miscellaneous   1 Czauderna, T. Implementation künstlicher neuronaler Netze auf Parallelcomputern unter Berücksichtigung spezifischer Hardwareeigenschaften. Diplomarbeit, Otto-von-Guericke-Universität Magdeburg, 01 2003.