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).
V.G. Kaburlasos, T. Pachidis, “A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application”, Information Fusion, vol. 16, pp. 68-83, 2014 (Special Issue on Information Fusion in Hybrid Intelligent Fusion Systems. Guest Editors: Michal Wozniak, Emilio Corchado and Manuel Graña).
V.G. Kaburlasos, A. Kehagias, “Fuzzy inference system (FIS) extensions based on lattice theory”, IEEE Transactions on Fuzzy Systems, vol. 22, no. 3, pp. 531-546, 2014.
S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, “Two fuzzy lattice reasoning (FLR) classifiers and their application for human facial expression recognition”, Journal of Multiple-Valued Logic and Soft Computing, vol. 22, no. 4-6, pp. 561-579, 2014 (Special Issue on Uncertainty Modeling in Knowledge Engineering and Decision Making. Guest Editors: Cengiz Kahraman and Farouk Yalaoui).
Y. Jamshidi, V.G. Kaburlasos, “gsaINknn: A GSA optimized, lattice computing knn classifier”, Engineering Applications of Artificial Intelligence, vol. 35, pp. 277-285, 2014.
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