- [1]
- S. J. Perantonis,
N. Ampazis, V. Virvilis, and S. Petridis.
Open issues in feedforward neural network training.
In LFTNC2001, Siena, Italy, 2001.
- [2]
- N. Vassilas, S. J.
Perantonis, V. Virvilis, A. Rabavilas, and G. N. Christodoulou.
Multimodular erp classification using neural networks based feature selection.
In Proceedings of the IASTED international conference Artificial
Intelligence and Applications, pages 26-29, Marbella, Spain, 2001.
- [3]
- A. Agogino, J. Ghosh,
S. J. Perantonis, V. Virvilis, S. Petridis, and Lisboa P. J. G.
The role of multiple linear-projection based visualization techniques in RBF
based classification of high dimensional data.
In Proceedings of IEEE-INNS-ENNS IJCNN2000, volume 3, Como, Italy,
2000.
- [4]
- S. J.
Perantonis and V. Virvilis.
Efficient perceptron learning using constrained steepest descent.
Neural Networks, 13(3):351-364, 2000.
(Gzipped PostScript, 37 pages, 175782 bytes)
(PDF, 211319 bytes)
- [5]
- S. J.
Perantonis, N. Ampazis, and V. Virvilis.
A learning framework for neural networks using constrained optimization
methods.
In Annals of Operations Research, volume 99, pages 385-401, 2000.
(Gzipped PostScript, 21 pages, 85998 bytes)
(PDF, 261226 bytes)
- [6]
- S. J. Perantonis,
S. Petridis, and V. Virvilis.
Supervised principal component analysis using a smooth classifier paradigm.
In Proceedings of International Conference on Pattern Recognition,
number 1572 in 0, Barcelona, Spain, 2000.
- [7]
- S. J.
Perantonis and V. Virvilis.
Dimensionality reduction using a novel neural network based feature extraction
method.
Washington, DC, 1999.
Presented at International Joint Conference on Neural Networks. Best
presentation award.
(Gzipped PostScript, 4 pages, 109253 bytes)
(PDF, 88757 bytes)
- [8]
- S. J.
Perantonis and V. Virvilis.
Input feature extraction for multilayer perceptrons using supervised principal
component analysis.
Neural Processing Letters, 10(3):243-252, 1999.
(Gzipped PostScript, 15 pages, 106095 bytes)
(PDF, 118445 bytes)
- [9]
- V. Virvilis.
Finite Training in Single Layer Perceptrons and Feature
Extraction.
PhD thesis, University of Athens Department of Informatics, 1999.
In greek.
(Gzipped PostScript, 116 pages, 831287 bytes)
(PDF, 1768752 bytes)
- [10]
- S. J.
Perantonis and V. Virvilis.
Efficient linear discriminant analysis using a fast quadratic programming
algorithm.
In International Workshop on Advanced Black-Box Techniques for Nonlinear
Modeling, pages 164-169, Leuven, Belgium, 1998.
(Gzipped PostScript, 6 pages, 135665 bytes)
(PDF, 114283 bytes)
- [11]
- S. J.
Perantonis, V. Virvilis, and N. Ampazis.
Recent advances in neural network training using constrained optimization.
In Proceedings of 4th International Conference on Applied Mathematical
Programming and Modeling APMOD98, Limassol, Cyprus, 1998.
(Gzipped PostScript, 9 pages, 43545 bytes)
(PDF, 129168 bytes)
- [12]
- J. A. Kocher,
C. Haldoupis, K. Schlegel, and V. Virvilis.
Simultaneous observations of e region coherent radar echoes at 2-m and 6-m
ratio wavelengths at midlatitude.
Journal of Geophysical research, 102:17255-17265, 1997.
- [13]
- S. J.
Perantonis, V. Virvilis, Ch. Papageorgiou, and A. Rabavilas.
Neural network based parameter selection for ERP analysis.
In Proceedings of X World Congress of Psychiatry, volume I, page
178, 1996.
- [14]
- N. Vassilas, S. J.
Perantonis, V. Virvilis, Ch. Papageorgiou, A. Rabavilas, and C. Stefanis.
Erp classification using neural network based feature selection and multiple
classifier models.
Accepted for publication in Technology and Health Care.