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Anastasiadis, A.D. and Magoulas, George D. (2008) Particle swarms and nonextensive statistics for nonlinear optimisation. The Open Cybernetics & Systemics Journal 2 , pp. 173-179. ISSN 1874-110X.

Anastasiadis, A.D. and Georgoulas, G.D. and Magoulas, George and Tzes, A. (2007) Adaptive particle swarm optimizer with nonextensive schedule. In: Lipson, H. (ed.) Genetic and Evolutionary Computation Conference. ACM. ISBN 9781595936974.

Anastasiadis, A.D. and Magoulas, George (2006) Analysing the localisation sites of proteins through neural networks ensembles. Neural Computing and Applications 15 (3/4), pp. 277-288. ISSN 0941-0643.

Magoulas, George and Anastasiadis, A.D. (2006) Approaches to adaptive stochastic search based on the nonextensive Q-distribution. International Journal of Bifurcation and Chaos 16 (7), pp. 2081-2091. ISSN 0218-1274.

Anastasiadis, A.D. and Magoulas, George D. (2006) Evolving stochastic learning algorithm based on Tsallis entropic index. The European Physical Journal B - Condensed Matter and Complex Systems 50 (1-2), pp. 277-283. ISSN 1434-6028.

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.

Anastasiadis, A.D. and Magoulas, George and Vrahatis, M.V. (2004) A new learning rates adaptation strategy for the resilient propagation algorithm. In: UNSPECIFIED (ed.) ESANN 2004: 12th European Symposium on Artificial Neural Networks. ESANN, pp. 1-6.

Anastasiadis, A.D. and Magoulas, George and Liu, X. (2003) Classification of protein localisation patterns via supervised neural network learning. In: Berthold, M.R. and Lenz, H.-J. and Bradley, E. and Kruse, R. and Borgelt, C. (eds.) Advances in Intelligent Data Analysis V: 5th International Symposium on Intelligent Data Analysis. Lecture Notes in Computer Science 2810. Springer, pp. 430-439. ISBN 9783540452317.