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Applied Soft Computing

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.

Computer Methods and Programs in Biomedicine

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.

IEEE Transactions on Neural Networks

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.

International Journal of Bifurcation and Chaos

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.

Journal of Computational and Applied Mathematics

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.

Journal of Machine Learning Research

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.

Neural Computation

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.

Neural Computing and Applications

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.

Neural Networks

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

Neural Processing Letters

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.

Neural, Parallel and Scientific Computations

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.

Neurocomputing

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.

Pattern Recognition Letters

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.