2015

Learning distributions of image features by interactive fuzzy lattice reasoning (FLR) in pattern recognition applications – IEEE Computational Intelligence Magazine, vol. 10, no. 3

V.G. Kaburlasos, G.A. Papakostas, “Learning distributions of image features by interactive fuzzy lattice reasoning (FLR) in pattern recognition applications”, IEEE Computational Intelligence Magazine, vol. 10, no. 3, pp. 42–51, 2015 (Special Issue on New Trends of Learning in Computational Intelligence. Guest Editors: Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu).

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A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data – Neurocomputing, vol. 150, part A

G.A. Papakostas, A. Savio, M. Graña, V.G. Kaburlasos, “A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data”, Neurocomputing, vol. 150, part A, pp. 37-42, 2015 (Special Issue on Bioinspired and knowledge based techniques and applications. Guest Editors: Manuel Graña and Bogdan Raducabu).

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On 3D Reconstruction of Porous Media by Using Spatial Correlation Functions – Journal of Engineering Science and Technology Review, vol. 8, no. 4

G.A. Papakostas, J.W. Nolan, N. Vordos, D. Gkika, M.E. Kainourgiakis and A.C. Mitropoulos, “On 3D Reconstruction of Porous Media by Using Spatial Correlation Functions”, Journal of Engineering Science and Technology Review, vol. 8, no. 4, pp. 78-83, 2015.

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Improving the Recognition Performance of Moment Features by Selection – Feature Selection for Data and Pattern Recognition, Springer, Studies in Computational Intelligence, vol. 584

G.A. Papakostas, “Improving the Recognition Performance of Moment Features by Selection”, In: Feature Selection for Data and Pattern Recognition, U. Stanczyk and L.C. Jain (Eds.), Springer, Studies in Computational Intelligence, vol. 584, pp. 305-327, 2015.

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