# Browse by Person

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**15**.

## 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.