V. G. Kaburlasos Archives - Page 22 of 25 - Εργαστήριο ΑΜΑ

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

09/02/2015

2015, Journals, Publications

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).

Δείτε περισσότερα από τους συγγραφείς:

G. A. Papakostas V. G. Kaburlasos

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

09/02/2015

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2015, Journals, Publications

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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A. Savio G. A. Papakostas M. Graña V. G. Kaburlasos

A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application – Information Fusion, vol. 16

08/02/2014

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2014, Journals, Publications

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).

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T. Pachidis V. G. Kaburlasos

Fuzzy inference system (FIS) extensions based on lattice theory – IEEE Transactions on Fuzzy Systems, vol. 22, no. 3

08/02/2014

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2014, Journals, Publications

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.

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A. Kehagias V. G. Kaburlasos

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

08/02/2014

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2014, Journals, Publications

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).

Δείτε περισσότερα από τους συγγραφείς:

G. A. Papakostas S. Papadakis V. G. Kaburlasos