Vassilis Kaburlasos

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George A. PapakostasProfessor, MLV Research Group, Department of Computer Science, International Hellenic UniversityVerified email at cs.ihu.gr
Eleni VrochidouLaboratory of Electronics, Department of Electrical & Computer Engineering, DUTHVerified email at ee.duth.gr
Theodore PachidisAssoc. Professor, Department of Computer Science, International Hellenic UniversityVerified email at cs.ihu.gr
Dr. Stelios PapadakisProfessor of Hellenic Mediterranean UniversityVerified email at hmu.gr
Anestis HatzimichailidisDept. Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of TechnologyVerified email at teiemt.gr
Athanasios KehagiasAssociate Professor, Aristotle UniversityVerified email at auth.gr
Catherine MarinagiProfessor of InformaticsVerified email at teiste.gr
Christina DardaniPopulation Health Sciences, University of BristolVerified email at bristol.ac.uk
Ioannis N. AthanasiadisWageningen University and ResearchVerified email at wur.nl
Spyros KazarlisProfessor, Dept. of Informatics Engineering, Technological Educational Institute of CentralVerified email at teicm.gr
Antonios GasteratosProfessor at Democritus University of Thrace | Fellow IETVerified email at pme.duth.gr
Pavlina FragkouDepartment of Informatics, Technological Educational Institute of AthensVerified email at teiath.gr
Pericles A. MitkasProfessor of Electrical and Computer Engineering, Aristotle University of Thessaloniki, GreeceVerified email at auth.gr
Vladan PapicUniversity of Split unist.hrVerified email at fesb.hr
Lefteris MoussiadesEastern Macedonia and Thrace Institute of Technology, Dept. of Computer and Informatics EngineeringVerified email at teikav.edu.gr
Manuel grañaUpv/ehuVerified email at si.ehu.es
Christos SkourlasTEI of Athens, Greece - Department of InformaticsVerified email at teiath.gr
Athena VakaliProfessor of Computer Science, Aristotle UniversityVerified email at csd.auth.gr
John B. TheocharisAristotle University of ThessalonikiVerified email at eng.auth.gr
Stephen GrossbergWang Professor of Cognitive and Neural Systems, Boston UniversityVerified email at bu.edu

Vassilis Kaburlasos

Department of Computer Science, International Hellenic University (IHU), Greece

Verified email at teiemt.gr - Homepage

Human Machine Interaction Intelligent Robots Lattice Computing Computational Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	182	2013
Fuzzy lattice neurocomputing (FLN) models VG Kaburlasos, V Petridis Neural Networks 13 (10), 1145-1170, 2000	160	2000
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	153	2011
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	143	2007
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	142	2003
Fuzzy lattice neural network (FLNN): a hybrid model for learning V Petridis, VG Kaburlasos IEEE Transactions on Neural Networks 9 (5), 877-890, 1998	137	1998
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	121	2012
Machine vision systems in precision agriculture for crop farming E Mavridou, E Vrochidou, GA Papakostas, T Pachidis, VG Kaburlasos Journal of Imaging 5 (12), 89, 2019	115	2019
Towards a unified modeling and knowledge-representation based on lattice theory: computational intelligence and soft computing applications VG Kaburlasos Springer Science & Business Media, 2007	105	2007
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	76	2003
A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data GA Papakostas, A Savio, M Graña, VG Kaburlasos Neurocomputing 150, 37-42, 2015	68	2015
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	67	2013
Fuzzy inference system (FIS) extensions based on the lattice theory VG Kaburlasos, A Kehagias IEEE Transactions on Fuzzy Systems 22 (3), 531-546, 2013	66	2013
Learning in the framework of fuzzy lattices V Petridis, VG Kaburlasos IEEE Transactions on Fuzzy Systems 7 (4), 422-440, 1999	65	1999
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	59	2001
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	58	2010
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	56	2004
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	55	2009
Computational intelligence based on lattice theory VG Kaburlasos, GX Ritter Springer, 2007	54	2007
FINkNN: A fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples V Petridis, VG Kaburlasos The Journal of Machine Learning Research 4, 17-37, 2003	49	2003

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