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Number of items: 21.

Article

Bauer, Ch. and Lang, Elmar (2002) ICA - ein modernes statistisches Verfahren zur Signal- und Datenanalyse. Bioforum 3, pp. 106-108.

Puntonet, Carlos G. and Mansour, A. and Bauer, Ch. and Lang, Elmar (2002) Separation of sources using simulated annealing and competitive learning. Neurocomputing 49, pp. 39-60.

Bauer, Ch. and Burger, Th. and Stetter, M. and Lang, Elmar (2000) A Neural Network Model for the Self-Organisation of Cortical Grating Cells. Zeitschrift für Naturforschung C 55c, pp. 282-291.

Bauer, Ch. and Alvarez, M. R. and Lang, Elmar W. and Puntonet, C. G. (2000) Analysis of EEG data using a geometric-based ICA algorithm. Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35, p. 485.

Jäger, O. and Ziegaus, Ch. and Bauer, Ch. and Lang, Elmar (2000) Analyzing flowcytometric fluorescence signals with neural nets: Classification of fluorescence labeled blood cells with self-organizing neural nets. Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35.

Broll, H. and Ziegaus, Ch. and Bauer, Ch. and Lang, Elmar and Wozny, M. (2000) Analyzing peptide maps with neural nets. Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35.

Book Section

Habl, M. and Bauer, Ch. and Lang, Elmar W. (2001) Analyzing biomedical signals with probabilistic ICA and kernel-based source density estimation. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, pp. 219-255. ISBN 3-906454-25-8.

Bauer, Ch. and Puntonet, C. G. and Alvarez, M. R. and Lang, Elmar W. (2001) Analyzing brain tumor related EEG signals using adaptive geometric ICA algorithms. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, pp. 181-185. ISBN 3-906454-25-8.

Mies, Ch. and Bauer, Ch. and Ackermann, G. and Bäumler, W. and Abels, C. and Puntonet, C. G. and Alvarez, M. R. and Lang, Elmar (2001) Can ICA Help Classify Skin Cancer and Benign Lesions? In: Mira, José, (ed.) Bio-inspired applications of connectionism. Proceedings / 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, Granada, Spain, June 13 - 15, 2001. Part 2. Lecture notes in computer science, 2085. Springer, Berlin, pp. 328-335. ISBN 3-540-42237-4 (print und e-book).

Mies, Ch. and Bauer, Ch. and Lang, Elmar W. and Ackermann, G. and Bäumler, W. (2001) Skin tumor classification using independent component analysis. In: Sebaaly, Milad Fares, (ed.) Proceedings of the International NAISO Congress on Information Science Innovations: March 17 - 21, 2001, Dubai, U.A.E. / ISI 2001. ICSC Acad. Press, pp. 186-192. ISBN 3-906454-25-8.

Puntonet, Carlos G. and Bauer, Ch. and Lang, Elmar and Alvarez, M. R. and Prieto, B. (2000) Adaptive-geometric methods: Application to the separation of EEG signals. In: Pajunen, Petteri and Karhunen, J., (eds.) Proceedings / ICA 2000, Second International Workshop on Independent Component Analysis and Blind Signal Separation: Helsinki, Finland, June 19 - 22, 2000. UNSPECIFIED, pp. 273-278. ISBN 951-22-5017-9.

Bauer, Ch. and Lang, Elmar and Puntonet, C. G. and Alvarez, M. R. (2000) Analyzing brain tumor related EEG signals using adaptive geometric ICA algorithms. In: Haghdy, Fazel and Kurfess, F., (eds.) Proc. of ISA/CI. ICSC Academic Press/Canada, pp. 392-397.

Habl, M. and Bauer, Ch. and Ziegaus, Ch. and Lang, Elmar (2000) Analyzing brain tumor related EEG signals with ICA algorithms. In: Malmgren, H., (ed.) Artificial neural networks in medicine and biology: proceedings of the ANNIMAB-1 conference, Göteborg, Sweden, 13 - 16 May 2000. Springer, London/Berlin, pp. 131-136. ISBN 1-85233-289-1.

Habl, M. and Bauer, Ch. and Ziegaus, Ch. and Lang, Elmar and Schulmeyer, F. (2000) Can ICA help identify brain tumor related EEG signals? In: Pajunen, Petteri and Karhunen, J., (eds.) Proceedings / ICA 2000, Second International Workshop on Independent Component Analysis and Blind Signal Separation: Helsinki, Finland, June 19 - 22, 2000. UNSPECIFIED, pp. 609-614. ISBN 951-22-5017-9.

Habl, M. and Bauer, Ch. and Ziegaus, Ch. and Lang, Elmar and Puntonet, Carlos G. and Schulmeyer, F. (2000) Isolating brain tumor related EEG signals: An ICA approach with kernel-based source density estimation. In: Fyfe, C., (ed.) Proceedings of the Second ICSC Symposium on Engineering of Intelligent Systems, EIS 2000: June 27 - 30, 2000, Paisley, Scotland, U.K. ICSC Canada, Wetaskiwin AB, Canada, pp. 649-655. ISBN 3-906454-23-1.

Bauer, Ch. and Habl, M. and Ziegaus, Ch. and Lang, Elmar and Puntonet, C. G. and Schulmeyer, F. (2000) Probabilistic ICA with kernel-based source density estimation as a diagnostic aid to identify brain tumor related EEG signals. In: Haghdy, Fazel and Kurfess, F., (eds.) Proc. of ISA/CI. Vol. 2. ICSC Academic Press/Canada, pp. 411-418.

Bauer, Ch. and Habl, M. and Lang, Elmar and Puntonet, C. G. and Alvarez, M. R. (2000) Probabilistic and geometric ICA applied to the separation of EEG signals. In: Hamza, M. H., (ed.) Signal processing and communications: proceedings of the IASTED international conference, September 19 - 22, 2000, Marabella [i.e. Marbella], Spain. IASTED (The International Association of Science and Technology for Development), Anaheim, Calif., pp. 339-346. ISBN 0-88986-302-4.

Bauer, Ch. and Puntonet, C. G. and Alvarez, M. R. and Lang, Elmar W. (2000) Separation of brain tumor related EEG signals with geometric procedures. In: Fyfe, Colin, (ed.) Proceedings of the Second ICSC Symposium on Engineering of Intelligent Systems, EIS 2000: June 27 - 30, 2000, University of Paisley, Scotland, U.K. ICSC (International Computer Science Conventions) Canada, Wetaskiwin AB, Canada, pp. 104-108. ISBN 3-906454-23-1.

Puntonet, Carlos G. and Alvarez, M. R. and Bauer, Ch. and Lang, Elmar (2000) Simulated annealing and density estimation for the separation of sources. In: Hamza, M. H., (ed.) Signal processing and communications: proceedings of the IASTED international conference (SPC), September 19 - 22, 2000, Marbella, Spain. IASTED/Acta Press, Anaheim, pp. 347-351. ISBN 0-88986-302-4.

Bauer, Ch. and Burger, T. and Lang, Elmar (1999) A neural network model for the self-organization of cortical grating cells. In: Mira, José, (ed.) Foundations and tools for neural modeling. International Work-Conference on Artificial and Natural Neural Networks, IWANN '99, Alicante, Spain, June 2 - 4, 1999. Proceedings. vol. Lecture notes in computer science, 1606. Springer, Berlin, pp. 431-441. ISBN 3-540-66069-0.

Bauer, Ch. and Burger, T. and Lang, Elmar (1999) A neural network model for the self-organization of cortical grating cells. In: Elsner, Norbert and Eysel, Ulf, (eds.) From molecular neurobiology to clinical neuroscience (Proceedings of the 1st Göttingen conference of the German Neuroscience Society, vol. 1). Thieme, Stuttgart. ISBN 3-13-118411-6 .

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