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Article

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. (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.

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.

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.

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.

Book Section

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. (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.

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.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.

Conference or Workshop Item

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.