Anzahl der Einträge: 21.
Habl, M.,
Bauer, Ch. und
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, S. 219-255.
ISBN 3-906454-25-8.
Volltext nicht vorhanden.
Bauer, Ch.,
Puntonet, C. G.,
Alvarez, M. R. und
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, S. 181-185.
ISBN 3-906454-25-8.
Volltext nicht vorhanden.
Mies, Ch.,
Bauer, Ch.,
Ackermann, G.,
Bäumler, W.,
Abels, C.,
Puntonet, C. G.,
Alvarez, M. R. und
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, S. 328-335.
ISBN 3-540-42237-4 (print und e-book).
Volltext nicht vorhanden.
Mies, Ch.,
Bauer, Ch.,
Lang, Elmar W.,
Ackermann, G. und
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, S. 186-192.
ISBN 3-906454-25-8.
Volltext nicht vorhanden.
Puntonet, Carlos G.,
Bauer, Ch.,
Lang, Elmar,
Alvarez, M. R. und
Prieto, B.
(2000)
Adaptive-geometric methods: Application to the separation of EEG signals.
In:
Pajunen, Petteri und
Karhunen, J., (eds.)
Proceedings / ICA 2000, Second International Workshop on Independent Component Analysis and Blind Signal Separation: Helsinki, Finland, June 19 - 22, 2000.
, S. 273-278.
ISBN 951-22-5017-9.
Volltext nicht vorhanden.
Bauer, Ch.,
Lang, Elmar,
Puntonet, C. G. und
Alvarez, M. R.
(2000)
Analyzing brain tumor related EEG signals using adaptive geometric ICA algorithms.
In:
Haghdy, Fazel und
Kurfess, F., (eds.)
Proc. of ISA/CI.
ICSC Academic Press/Canada, S. 392-397.
Volltext nicht vorhanden.
Habl, M.,
Bauer, Ch.,
Ziegaus, Ch. und
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, S. 131-136.
ISBN 1-85233-289-1.
Volltext nicht vorhanden.
Broll, H.,
Ziegaus, Ch.,
Bauer, Ch.,
Lang, Elmar und
Wozny, M.
(2000)
Analyzing peptide maps with neural nets.
Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35.
Volltext nicht vorhanden.
Habl, M.,
Bauer, Ch.,
Ziegaus, Ch.,
Lang, Elmar und
Schulmeyer, F.
(2000)
Can ICA help identify brain tumor related EEG signals?
In:
Pajunen, Petteri und
Karhunen, J., (eds.)
Proceedings / ICA 2000, Second International Workshop on Independent Component Analysis and Blind Signal Separation: Helsinki, Finland, June 19 - 22, 2000.
, S. 609-614.
ISBN 951-22-5017-9.
Volltext nicht vorhanden.
Habl, M.,
Bauer, Ch.,
Ziegaus, Ch.,
Lang, Elmar,
Puntonet, Carlos G. und
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, S. 649-655.
ISBN 3-906454-23-1.
Volltext nicht vorhanden.
Bauer, Ch.,
Habl, M.,
Ziegaus, Ch.,
Lang, Elmar,
Puntonet, C. G. und
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 und
Kurfess, F., (eds.)
Proc. of ISA/CI. Vol. 2.
ICSC Academic Press/Canada, S. 411-418.
Volltext nicht vorhanden.
Bauer, Ch.,
Habl, M.,
Lang, Elmar,
Puntonet, C. G. und
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., S. 339-346.
ISBN 0-88986-302-4.
Volltext nicht vorhanden.
Bauer, Ch.,
Puntonet, C. G.,
Alvarez, M. R. und
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, S. 104-108.
ISBN 3-906454-23-1.
Volltext nicht vorhanden.
Puntonet, Carlos G.,
Alvarez, M. R.,
Bauer, Ch. und
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, S. 347-351.
ISBN 0-88986-302-4.
Volltext nicht vorhanden.
Bauer, Ch.,
Burger, T. und
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, S. 431-441.
ISBN 3-540-66069-0.
Volltext nicht vorhanden.
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