[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.