Vassilis Kaburlasos
Vassilis Kaburlasos
Department of Computer Science, International Hellenic University (IHU), Greece
Verified email at teiemt.gr - Homepage
Title
Cited by
Cited by
Year
Fuzzy lattice neurocomputing (FLN) models
VG Kaburlasos, V Petridis
Neural Networks 13 (10), 1145-1170, 2000
1522000
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view
GA Papakostas, AG Hatzimichailidis, VG Kaburlasos
Pattern Recognition Letters 34 (14), 1609-1622, 2013
1432013
Evaluation of shape descriptors for shape-based image retrieval
A Amanatiadis, VG Kaburlasos, A Gasteratos, SE Papadakis
IET Image Processing 5 (5), 493-499, 2011
1412011
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
VG Kaburlasos, IN Athanasiadis, PA Mitkas
International journal of approximate reasoning 45 (1), 152-188, 2007
1262007
Fuzzy lattice neural network (FLNN): a hybrid model for learning
V Petridis, VG Kaburlasos
IEEE Transactions on Neural Networks 9 (5), 877-890, 1998
1251998
A comparison of word-and sense-based text categorization using several classification algorithms
A Kehagias, V Petridis, VG Kaburlasos, P Fragkou
Journal of Intelligent Information Systems 21 (3), 227-247, 2003
1242003
Towards a unified modeling and knowledge-representation based on lattice theory: computational intelligence and soft computing applications
VG Kaburlasos
Springer Science & Business Media, 2007
912007
Applying machine learning techniques on air quality data for real-time decision support
IN Athanasiadis, VG Kaburlasos, PA Mitkas, V Petridis
First international NAISO symposium on information technologies in …, 2003
602003
Learning in the framework of fuzzy lattices
V Petridis, VG Kaburlasos
IEEE Transactions on Fuzzy Systems 7 (4), 422-440, 1999
601999
Lattice computing extension of the FAM neural classifier for human facial expression recognition
VG Kaburlasos, SE Papadakis, GA Papakostas
IEEE Transactions on Neural Networks and Learning Systems 24 (10), 1526-1538, 2013
572013
FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements
VG Kaburlasos
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
552004
Fuzzy inference system (FIS) extensions based on the lattice theory
VG Kaburlasos, A Kehagias
IEEE Transactions on Fuzzy Systems 22 (3), 531-546, 2013
532013
A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems
AG Hatzimichailidis, GA Papakostas, VG Kaburlasos
International Journal of Intelligent Systems 27 (4), 396-409, 2012
532012
Clustering and classification in structured data domains using Fuzzy Lattice Neurocomputing (FLN)
V Petridis, VG Kaburlasos
IEEE Transactions on Knowledge and Data Engineering 13 (2), 245-260, 2001
512001
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals’ numbers (INs)
SE Papadakis, VG Kaburlasos
Information Sciences 180 (24), 5060-5076, 2010
492010
A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)
VG Kaburlasos, SE Papadakis
Neurocomputing 72 (10-12), 2067-2078, 2009
492009
Computational intelligence based on lattice theory
VG Kaburlasos, GX Ritter
Springer, 2007
452007
Granular self-organizing map (grSOM) for structure identification
VG Kaburlasos, SE Papadakis
Neural Networks 19 (5), 623-643, 2006
442006
A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data
GA Papakostas, A Savio, M Grana, VG Kaburlasos
Neurocomputing 150, 37-42, 2015
432015
FINkNN: A fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples
V Petridis, VG Kaburlasos
Journal of Machine Learning Research 4 (Apr), 17-37, 2003
392003
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