Publikationen von Puntonet, C. G.

Al-Baddai, Saad, Neubauer, A., Tome, A. M. , Vigneron, V., Salas-Gonzales, Diego , Puntonet, C. G. und Lang, E. (2016) Functional Biomedical Images of Alzheimer's Disease a Green's Function based Empirical Mode Decomposition Study. Current Alzheimer Research 13 (6), S. 695-707. Volltext nicht vorhanden.

Lang, Elmar W., Tomé, A. M., Keck, Ingo R., Górriz-Sáez, J. M. und Puntonet, C. G. (2012) Brain Connectivity Analysis - A short survey. Computational Intelligence and Neuroscience (CIN).

Stadlthanner, K., Theis, Fabian J., Lang, Elmar, Tomé, A., Puntonet, C. G., Gomez-Vilda, P., Langmann, T. und Schmitz, G. (2006) Sparse Nonnegative Matrix Factorization Applied to Microarray Data Sets. In: Rosca, J., (ed.) Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006. Proceedings. Lecture notes in computer science, 3889. Springer, Berlin, S. 254-261. ISBN 3-540-32630-8 (print), 978-3-540-32630-4 (e-book). Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Lang, Elmar W., Tomé, A. M., Gruber, Peter, Teixeira, A. R., Theis, Fabian J. und Puntonet, C. G. (2005) A hybridization of simulated annealing and local PCA for automatic component assignment within ICA. In: Cabestany, Joan, (ed.) Computational intelligence and bioinspired systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8 - 10, 2005; proceedings. Lecture notes in computer science, 3512. Springer, Berlin, S. 1075-1082. ISBN 3-540-26208-3. Volltext nicht vorhanden.

Keck, I. R., Nassabay, S., Puntonet, C. G. und Lang, Elmar (2005) A new approach to clustering and object detection with independent component analysis. Lecture Notes in Computer Science 3562, S. 558-566. Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Lang, Elmar W., Theis, Fabian J., Gruber, Peter, Tomé, A. M., Teixeira, A. R. und Puntonet, C. G. (2005) An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005: July 31 - August 4, 2005, Montréal, Québec, Canada. IEEE Operations Center, Piscataway, NJ, S. 2463-2468. ISBN 0-7803-9048-2, 0-7803-9049-0. Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Tomé, A. M., Gruber, Peter, Teixeira, A. R., Theis, Fabian J., Puntonet, C. G. und Lang, Elmar (2005) AutoAssign - an automated assignment tool for independent components. In: Marques, Jorge S., (ed.) Pattern recognition and image analysis: second Iberian Conference, IbPRIA 2005, Estoril, Portugal, June 7 - 9, 2005; proceedings. Part 2. Lecture notes in computer science, 3523. Springer, Berlin, S. 75-82. ISBN 3-540-26154-0. Volltext nicht vorhanden.

Górriz, J. M., Ramírez, J., Puntonet, C. G., Theis, Fabian J. und Lang, Elmar (2005) Bispectrum-based statistical tests for VAD. In: Duch, Włodzisław, (ed.) Artificial neural networks: formal models and their applications - ICANN 2005: 15th international conference, Warsaw, Poland, September 11-15, 2005; proceedings. Lecture notes in computer science, 3697. Springer, Berlin, S. 541-546. ISBN 978-3-540-28752-0. Volltext nicht vorhanden.

Keck, I. R., Lang, Elmar, Nassabay, S. und Puntonet, C. G. (2005) Clustering of signals using incomplete independent component analysis. In: Cabestany, Joan, (ed.) Computational intelligence and bioinspired systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8 - 10, 2005; proceedings. Lecture notes in computer science, 3512. Springer, Berlin. ISBN 3-540-26208-3. Volltext nicht vorhanden.

Stadlthanner, Kurt, Theis, Fabian J., Puntonet, C. G. und Lang, Elmar (2005) Extended sparse nonnegative matrix factorization. In: Cabestany, Joan, (ed.) Computational intelligence and bioinspired systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Barcelona, Spain, June 8 - 10, 2005; proceedings. Lecture notes in computer science, 3512. Springer, Berlin, S. 249-256. ISBN 3-540-26208-3. Volltext nicht vorhanden.

Böhm, Matthias, Stadlthanner, Kurt, Tomé, A. M., Gruber, Peter, Teixeira, A. R., Theis, Fabian J., Puntonet, C. G. und Lang, Elmar (2005) On the use of simulated annealing to automatically assign independent components. In: Iberian Conf. Pattern Recognition Image Analysis (IbPRIA), 2005, Estoril, Portugal. Volltext nicht vorhanden.

Alvarez, M. R., Rojas, F., Puntonet, C. G., Ortega, J., Theis, Fabian J. und Lang, Elmar (2003) A new geometrical method of BSS on a lattice of the space of observations. Signal processing. 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.

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

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.