Adam, S.P. and Magoulas, George D. and Karras, D.A. and Vrahatis, M.N. (2016) Bounding the search space for global optimization of neural networks learning error: an interval analysis approach. Journal of Machine Learning Research 17 , pp. 1-40. ISSN 1533-7928.

Adam, S.P. and Karras, D.A. and Magoulas, George D. and Vrahatis, M.N. (2015) Reliable estimation of a neural network’s domain of validity through interval analysis based inversion. In: 2015 International Joint Conference on Neural Networks (IJCNN), 12-17 July 2015, Killarney.

Adam, S.P. and Karras, D.A. and Magoulas, George D. and Vrahatis, M.N. (2014) Solving the linear interval tolerance problem for weight initialization of neural networks. Neural Networks 54 , pp. 17-37. ISSN 0893-6080.

Magoulas, George and Vrahatis, M.N. (2006) Adaptive algorithms for neural network supervised learning: a deterministic optimization approach. International Journal of Bifurcation and Chaos 16 (7), pp. 1929-1950. ISSN 0218-1274.

Plagianakos, V.P. and Magoulas, George D. and Vrahatis, M.N. (2006) Distributed computing methodology for training neural networks in an image-guided diagnostic application. Computer Methods and Programs in Biomedicine 81 (3), pp. 228-235. ISSN 0169-2607.

Plagianakos, V.P. and Magoulas, George and Vrahatis, M.N. (2006) Evolutionary training of hardware realizable multilayer perceptrons. Neural Computing and Applications 15 (1), pp. 33-40. ISSN 0941-0643.

Anastasiadis, A.D. and Magoulas, George D. and Vrahatis, M.N. (2006) Improved sign-based learning algorithm derived by the composite nonlinear Jacobi process. Journal of Computational and Applied Mathematics 191 (2), pp. 166-178. ISSN 0377-0427.

Anastasiadis, A.D. and Magoulas, George and Vrahatis, M.N. (2005) New globally convergent training scheme based on the resilient propagation algorithm. Neurocomputing 64 , pp. 253-270. ISSN 0925-2312.

Anastasiadis, A.D. and Magoulas, George and Vrahatis, M.N. (2005) Sign-based learning schemes for pattern classification. Pattern Recognition Letters 26 (12), pp. 1926-1936. ISSN 0167-8655.

Magoulas, George D. and Plagianakos, V.P. and Vrahatis, M.N. (2004) Neural network-based colonoscopic diagnosis using on-line learning and differential evolution. Applied Soft Computing 4 (4), pp. 369-379. ISSN 1568-4946.

Plagianakos, V.P. and Magoulas, George and Vrahatis, M.N. (2002) Deterministic nonmonotone strategies for effective training of multilayer perceptrons. IEEE Transactions on Neural Networks 13 (6), pp. 1268-1284. ISSN 1045-9227.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (2002) Globally convergent algorithms with local learning rates. IEEE Transactions on Neural Networks 13 (3), pp. 774-779. ISSN 1045-9227.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (2000) Development and convergence analysis of training algorithms with local learning rate adaptation. In: UNSPECIFIED (ed.) Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IEEE Computer Society, pp. 21-26. ISBN 0769506194.

Vrahatis, M.N. and Magoulas, George and Plagianakos, V.P. (2000) Globally convergent modification of the quickprop method. Neural Processing Letters 12 (2), pp. 159-170. ISSN 1370-4621.

Magoulas, George and Vrahatis, M.N. (2000) A class of adaptive learning rate algorithms derived by one-dimensional subminimization methods. Neural, Parallel and Scientific Computations 8 (2), pp. 147-168. ISSN 1061-5369.

Vrahatis, M.N. and Magoulas, George and Plagianakos, V.P. (1999) Convergence analysis of the quickprop method. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 1209-1214. ISBN 0780355296.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (1999) Effective neural network training with a different learning rate for each weight. In: UNSPECIFIED (ed.) 6th IEEE International Conference on Electronics, Circuits and Systems. IEEE Computer Society, pp. 591-594. ISBN 0780356829.

Magoulas, George and Vrahatis, M.N. and Androulakis, G.S. (1999) Improving the convergence of the backpropagation algorithm using learning rate adaptation methods. Neural Computation 11 (7), pp. 1769-1796. ISSN 0899-7667.

Plagianakos, V.P. and Magoulas, George and Vrahatis, M.N. (1999) Nonmonotone learning rules for backpropagation networks. In: UNSPECIFIED (ed.) 6th IEEE International Conference on Electronics, Circuits and Systems. IEEE Computer Society, pp. 291-294. ISBN 0780356829.

Palgianakos, V.P. and Vrahatis, M.N. and Magoulas, George (1999) Nonmonotone methods for backpropagation training with adaptive learning rate. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 1762-1767. ISBN 0780355296.

Magoulas, George and Plagianakos, V.P. and Vrahatis, M.N. (1999) Sign-methods for training with imprecise error function and gradient values. In: UNSPECIFIED (ed.) International Joint Conference Neural Networks: IJCNN 1999. IEEE Computer Society, pp. 1768-1773. ISBN 0780355296.

Magoulas, George and Vrahatis, M.N. and Androulakis, G. (1997) Effective backpropagation training with variable stepsize. Neural Networks 10 (1), pp. 69-82. ISSN 0893-6080.

Magoulas, George and Vrahatis, M.N. and Androulakis, G.S. (1996) A new method in neural network supervised training with imprecision. In: UNSPECIFIED (ed.) Proceedings of Third International Conference on Electronics, Circuits, and Systems: ICECS 1996. IEEE Computer Society, pp. 287-290. ISBN 078033650X.