{"id":1260,"date":"2025-03-31T14:15:51","date_gmt":"2025-03-31T11:15:51","guid":{"rendered":"https:\/\/rislab.ihu.gr\/?page_id=1260"},"modified":"2025-04-04T11:54:06","modified_gmt":"2025-04-04T08:54:06","slug":"dhmosieyseis","status":"publish","type":"page","link":"https:\/\/rislab.ihu.gr\/en\/dhmosieyseis\/","title":{"rendered":"Publications"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"1260\" class=\"elementor elementor-1260\">\n\t\t\t\t\t\t<section class=\"penci-section penci-disSticky penci-structure-10 elementor-section elementor-top-section elementor-element elementor-element-370a022 elementor-section-full_width elementor-section-stretched elementor-section-height-default elementor-section-height-default\" data-id=\"370a022\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"penci-ercol-100 penci-ercol-order-1 penci-sticky-ct    elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-46ced13\" data-id=\"46ced13\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-509b38c elementor-tabs-view-horizontal elementor-widget elementor-widget-tabs\" data-id=\"509b38c\" data-element_type=\"widget\" data-widget_type=\"tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-tabs\">\n\t\t\t<div class=\"elementor-tabs-wrapper\" role=\"tablist\" >\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8451\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-8451\" aria-expanded=\"false\">Vassilios Kaburlazos<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8452\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8452\" aria-expanded=\"false\">Spyridon Kazarlis<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8453\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8453\" aria-expanded=\"false\">Ioannis Kalomiros<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8454\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8454\" aria-expanded=\"false\">Athanasios Nikolaidis<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8455\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8455\" aria-expanded=\"false\">Stavros Vologiannidis<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8456\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"6\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8456\" aria-expanded=\"false\">\u0399\u03c9\u03ac\u03bd\u03bd\u03b7\u03c2 \u0392\u03bf\u03c5\u03c1\u03b2\u03bf\u03c5\u03bb\u03ac\u03ba\u03b7\u03c2<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-8457\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"7\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8457\" aria-expanded=\"false\">Emmanouil Bakirtzis<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"elementor-tabs-content-wrapper\" role=\"tablist\" aria-orientation=\"vertical\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-8451\" aria-expanded=\"false\">Vassilios Kaburlazos<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8451\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8451\" tabindex=\"0\" hidden=\"false\"><p><strong><u>Research Monographs (RM)<\/u><\/strong><\/p><p>[\u0395\u039c#1]\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, <em>Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory <\/em><em>&#8211;<\/em><em> Computational Intelligence and Soft Computing Applications<\/em>. Heidelberg, Germany: Springer, series: Studies in Computational Intelligence, vol. 27, 2006, ISBN: 3-540-34169-2.<\/p><p><strong><u>Patents (PA)<\/u><\/strong><\/p><p>\u201cRobotic end-effector tool for simultaneous cutting and holding of an object with application in precision agriculture and particularly in viticulture\u201d, Patent No.: 1010229, Industrial Property Organisation, Athens, Greece, 5 May 2022 (valid until 30 March 2041). Owners: Vassilis Kaburlasos, George Papakostas, Theodore Pachidis, Special Account Management Committee of the International Hellenic University (IHU).<\/p><p>\u201cFilter for fusion of multimodal information collection and application to social robots for autonomous interaction with humans\u201d, Patent No.: 1010292, Industrial Property Organisation, Athens, Greece, 21 January 2023 (valid until 15 January 2042). Owners: Vassilis Kaburlasos, Theodore Pachidis, Chris Lytridis, Eleni Vrochidou, Christos Bazinas, Special Account Management Committee of the International Hellenic University (IHU).<\/p><p><u>\u00a0<\/u><\/p><p><u>\u00a0<\/u><\/p><p><strong><u>Textbooks (TB)<\/u><\/strong><\/p><p><u>\u00a0<\/u><\/p><p class=\"translation-block\">V.G. Kaburlasos, G.A. Papakostas, Introduction to Computational Intelligence \u2013 A Holistic Approach. (in Greek) Hellenic Academic Ebooks (www.kallipos.gr), 2016.\n\t(https:\/\/repository.kallipos.gr\/handle\/11419\/3443 ).<\/p><p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 (<a href=\"https:\/\/www.openbook.gr\/eisagwgi-stin-ypologistiki-noimosyni\/\">https:\/\/www.openbook.gr\/eisagwgi-stin-ypologistiki-noimosyni\/<\/a> ).<\/p><p><u>\u00a0<\/u><\/p><p><u>\u00a0<\/u><\/p><p class=\"translation-block\"><strong><u>Edited Collective Volumes (ECV)<\/u><\/strong><\/p><p><u>\u00a0<\/u><\/p><p>[\u0395\u03a3\u03a4#1]\u00a0\u00a0\u00a0 V.G. Kaburlasos, G.X. Ritter (eds.) <em>Computational Intelligence Based on Lattice Theory<\/em>. Heidelberg, Germany: Springer, series: Studies in Computational Intelligence, vol. 67, 2007, ISBN: 3-540-72686-9.<\/p><p>[\u0395\u03a3\u03a4#2]\u00a0\u00a0\u00a0 V. Kaburlasos, U. Priss, M. <em>Gra\u03c1a<\/em> (eds.), <em>LBM 2008<\/em> <em>(CLA 2008)<\/em><em>, <\/em><em>Proceedings of the Lattice-Based Modeling Workshop, in conjunction with The Sixth International Conference on Concept Lattices and Their Applications<\/em>. Olomouc, Czech Republic: Palack\u03cd University, 2008, ISBN: 978-80-244-2112-4.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a3\u03a4#3]\u00a0\u00a0\u00a0 V.G. Kaburlasos (Guest Editor), Special Issue on \u201cInformation Engineering Applications Based on Lattices\u201d<em>, Information Sciences<\/em>, vol. 181, iss. 10, pp. 1771-1773, 2011 (16 papers, pp. 1774-2060).<\/p><p>[\u0395\u03a3\u03a4#4]\u00a0\u00a0\u00a0 G.A. Papakostas, A.G. Hatzimichailidis, V.G. Kaburlasos (eds.) <em>Handbook of Fuzzy Sets Comparison \u2013 Theory, Algorithms and Applications<\/em>. Science Gate Publishing (SGP) vol.6, <a href=\"http:\/\/sciencegatepub.com\/\">http:\/\/sciencegatepub.com\/<\/a> , 2016, ISBN: 978-618-81418-1-2 (print), ISBN: 978-618-81418-2-9 (e-book).<\/p><p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 (<a href=\"http:\/\/sciencegatepub.com\/books\/gcsr\/gcsr_vol6\/\">http:\/\/sciencegatepub.com\/books\/gcsr\/gcsr_vol6\/<\/a> ).<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a3\u03a4#5]\u00a0\u00a0\u00a0 V. G. Kaburlasos (Guest Editor), Special Issue on \u201cLattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications\u201d, <em>Mathematics<\/em>, vol. 10, no. 2, 271, 2022. <a href=\"https:\/\/www.mdpi.com\/2227-7390\/10\/2\/271\">https:\/\/www.mdpi.com\/2227-7390\/10\/2\/271<\/a> (Section \u201cComputational and Applied Mathematics\u201d) <a href=\"https:\/\/www.mdpi.com\/journal\/mathematics\/special_issues\/Lattice_Computing\">https:\/\/www.mdpi.com\/journal\/mathematics\/special_issues\/Lattice_Computing<\/a> (8 papers).<\/p><p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Citation: Kaburlasos, V.G. Lattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications. Mathematics 2022, 10, 271. <a href=\"https:\/\/doi.org\/10.3390\/math10020271\">https:\/\/doi.org\/10.3390\/math10020271<\/a><\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a3\u03a4#6]\u00a0\u00a0\u00a0 Lyuba Alboul, Maya Dimitrova, Anna Lekova, Vassilis George Kaburlasos, Peter Mitrouchev,\u00a0 (Guest Editors), Special Issue on \u201cEmerging Technologies for Assistive Robotics: Current Challenges and Perspectives\u201d<em>, Frontiers in Robotics and AI<\/em> (Section \u201cBiomedical Robotics\u201d), 10 October 2023, vol. 10, 2023 <a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/frobt.2023.1288360\/full\">https:\/\/www.frontiersin.org\/articles\/10.3389\/frobt.2023.1288360\/full<\/a>\u00a0 (4 papers).<\/p><p class=\"translation-block\"><strong><u>Scientific Journals (SJ)<\/u><\/strong><\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#1]\u00a0\u00a0\u00a0\u00a0\u00a0 D.D. Egbert, P.H. Goodman, V.G. Kaburlasos, J.H. Whitchey, \u201cGeneralization capabilities of subtle image pattern classifiers\u201d, <em>IEEE Transactions on Knowledge and Data Engineering<\/em>, vol. 4, no. 2, pp. 172-177, 1992.<\/p><p>J\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#2]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cFuzzy lattice neurocomputing (FLN): a novel connectionist scheme for versatile learning and decision making by clustering\u201d, <em>International Journal of Computers and Their Applications<\/em>, vol. 4, no. 3, pp. 31-43, 1997.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#3]\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cFuzzy lattice neural network (FLNN): a hybrid model for learning\u201d, <em>IEEE Transactions on Neural Networks<\/em>, vol. 9, no. 5, pp. 877-890, 1998 (Special Issue on<em> Neural Networks and Hybrid Intelligent Models: Foundations, Theory, and Applications<\/em>. Guest Editors: C. Lee Giles, Ron Sun).<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#4]\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cLearning in the framework of fuzzy lattices\u201d, <em>IEEE Transactions on Fuzzy Systems<\/em>, vol. 7, no. 4, pp. 422-440, 1999.<\/p><p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Errata in <em>IEEE Transactions on Fuzzy Systems<\/em>, vol. 8, no. 2, p. 236, 2000.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#5]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, P. Brett, D. Baker, \u201cEstimation of the stapes-bone thickness in stapedotomy surgical procedure using a machine-learning technique\u201d, <em>IEEE Transactions on Information Technology in Biomedicine<\/em>, vol. 3, no. 4, pp. 268-277, 1999.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#6]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cFuzzy lattice neurocomputing (FLN) models\u201d, <em>Neural Networks<\/em>, vol. 13, no. 10, pp. 1145-1170, 2000.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#7]\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cClustering and classification in structured data domains using fuzzy lattice neurocomputing (FLN)\u201d, <em>IEEE Transactions on Knowledge and Data Engineering<\/em>, vol. 13, no. 2, pp. 245-260, 2001 (Special Section on<em> Connectionist Models for Learning in Structured Domains<\/em>. Guest Editors: Paolo Frasconi, Marco Gori, Alessandro Sperduti).<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#8]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, A. Kallinakis, \u201cIntelligent clustering techniques for prediction of sugar production\u201d, <em>Mathematics and Computers in Simulation<\/em>, vol. 60, iss. 3-5, pp. 159-168, 2002 (Special Issue on<em> Intelligent Forecasting, Fault Diagnosis, Scheduling, and Control<\/em>. Guest Editors: Spyros G. Tzafestas, Elpida S. Tzafestas).<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#9]\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, S. Kazarlis, V.G. Kaburlasos, \u201cACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems\u201d, <em>IEEE Transactions on Education<\/em>, vol. 46, no. 1, pp. 102-110, 2003.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#10]\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cFINkNN: a fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples\u201d, <em>Journal of Machine Learning Research<\/em>, vol. 4(Apr), pp. 17-37, 2003.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#11]\u00a0\u00a0\u00a0 A. Kehagias, V. Petridis, V.G. Kaburlasos, P. Fragkou, \u201cA comparison of word- and sense-based text categorization using several classification algorithms\u201d, <em>Journal of Intelligent Information Systems<\/em>, vol. 21(Nov), no. 3, pp. 227-247, 2003.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#12]\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cFINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements\u201d, <em>IEEE Transactions on Systems, Man and Cybernetics \u2013 Part B<\/em>, vol. 34, no. 2, pp. 1017-1030, 2004.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#13]\u00a0\u00a0\u00a0 S.E. Papadakis, P. Tzionas, V.G. Kaburlasos, J.B. Theocharis, \u201cA genetic based approach to the Type I structure identification problem\u201d, <em>Informatica<\/em>, vol. 16, no. 3, pp. 365-382, 2005.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#14]\u00a0\u00a0\u00a0 V.G. Kaburlasos, A. Kehagias, \u201cNovel fuzzy inference system (FIS) analysis and design based on lattice theory. part I: working principles\u201d, <em>International Journal of General Systems<\/em>, vol. 35, no. 1, pp. 45-67, 2006.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#15]\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, \u201cGranular self-organizing map (grSOM) for structure identification\u201d, <em>Neural Networks<\/em>, vol. 19, no. 5, pp. 623-643, 2006.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#16]\u00a0\u00a0\u00a0 V.G. Kaburlasos, A. Kehagias, \u201cNovel fuzzy inference system (FIS) analysis and design based on lattice theory\u201d, <em>IEEE Transactions on Fuzzy Systems<\/em>, vol. 15, no. 2, pp. 243-260, 2007.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#17]\u00a0\u00a0\u00a0 V.G. Kaburlasos, I.N. Athanasiadis, P.A. Mitkas, \u201cFuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation\u201d, <em>International Journal of Approximate Reasoning<\/em>, vol. 45, no. 1, pp. 152-188, 2007.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#18]\u00a0\u00a0\u00a0 V.G. Kaburlasos, C.C. Marinagi, V.T. Tsoukalas, \u201cPersonalized multi-student improvement based on Bayesian cybernetics\u201d, <em>Computers &amp; Education<\/em>, vol. 51, no. 4, pp. 1430-1449, 2008.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#19]\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, \u201cA granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)\u201d, <em>Neurocomputing<\/em>, vol. <strong>72<\/strong>, no. <strong>10-12<\/strong>, pp. 2067-2078, 2009 (Special Section on <em>Lattice Computing and Natural Computing<\/em>. Guest Editor: Manuel Gra<em>\u03c1<\/em>a).<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#20]\u00a0\u00a0\u00a0 V.G. Kaburlasos, L. Moussiades, A. Vakali, \u201cFuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning\u201d, <em>Neurocomputing<\/em>, vol. <strong>72<\/strong>, no. <strong>10-12<\/strong>, pp. 2121-2133, 2009 (Special Section on <em>Lattice Computing and Natural Computing<\/em>. Guest Editor: Manuel Gra<em>\u03c1<\/em>a).<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#21]\u00a0\u00a0\u00a0 S.E. Papadakis, V.G. Kaburlasos, \u201cPiecewise-linear approximation of nonlinear models based on probabilistically\/possibilistically interpreted Intervals\u2019 Numbers (INs)\u201d, <em>Information Sciences<\/em>, vol. 180, iss. 24, pp. 5060-5076, 2010.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#22]\u00a0\u00a0\u00a0 A. Amanatiadis, V.G. Kaburlasos, A. Gasteratos, S.E. Papadakis, \u201cEvaluation of shape descriptors for shape-based image retrieval\u201d, <em>IET Image Processing<\/em>, vol. 5, iss. 5, pp. 493-499, 2011.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#23]\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, A. Amanatiadis, \u201cBinary image 2D shape learning and recognition based on lattice computing (LC) techniques\u201d, <em>Journal of Mathematical Imaging and Vision<\/em>, vol. 42, no. 2-3, pp. 118-133, 2012 (Special Issue on <em>Hybrid Artificial Intelligent Systems<\/em>. Guest Editors: Manuel Gra<em>\u03c1<\/em>a, Emilio Corchado, Michal Wozniak).<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#24]\u00a0\u00a0\u00a0 A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, \u201cA novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems\u201d, <em>International Journal of Intelligent Systems<\/em>, vol. 27, no. 4, pp. 396-409, 2012.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#25]\u00a0\u00a0\u00a0 G.A. Papakostas, A.G. Hatzimichailidis, V.G. Kaburlasos, \u201cDistance and similarity measures between intuitionistic fuzzy sets: a comparative analysis from a pattern recognition point of view\u201d, <em>Pattern Recognition Letters<\/em>, vol. 34, no. 14, pp. 1609-1622, 2013.<\/p><p>SCI\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#26]\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, G.A. Papakostas, \u201cLattice computing extension of the FAM neural classifier for human facial expression recognition\u201d, <em>IEEE Transactions on Neural Networks and Learning Systems<\/em>, vol. 24, no. 10, pp. 1526-1538, 2013.<\/p><p>J\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#27]\u00a0\u00a0\u00a0 V.G. Kaburlasos, L. Moussiades, \u201cInduction of formal concepts by lattice computing techniques for tunable classification\u201d, <em>Journal of Engineering Science and Technology Review<\/em>, vol. 7, no. 1, pp. 1-8, 2014.<\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#28]\u00a0\u00a0\u00a0 V.G. Kaburlasos, T. Pachidis, \u201cA Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application\u201d, <em>Information Fusion<\/em>, vol. 16, pp. 68-83, 2014 (Special Issue on <em>Information Fusion in <\/em><em>Hybrid Intelligent Fusion Systems<\/em>. 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Kaburlasos, \u201cA non-destructive method for grape ripeness estimation using Intervals\u2019 Numbers (INs) techniques\u201d, <em>Agronomy<\/em>, vol. 12, no. 7, 1564, 2022. <a href=\"https:\/\/www.mdpi.com\/2073-4395\/12\/7\/1564\">https:\/\/www.mdpi.com\/2073-4395\/12\/7\/1564<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#58]\u00a0\u00a0\u00a0 M. T. Papadopoulou, E. Karageorgiou, P. Kechayas, N. Geronikola, C. Lytridis, C. Bazinas, E. Kourampa, E. Avramidou, V. G. Kaburlasos, A. E. Evangeliou, \u201cEfficacy of a robot-assisted intervention in improving learning performance of elementary school children with specific learning disorders\u201d, <em>Children<\/em>, vol. 9, iss. 8, 1155, 2022. <a href=\"https:\/\/www.mdpi.com\/2227-9067\/9\/8\/1155\">https:\/\/www.mdpi.com\/2227-9067\/9\/8\/1155<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#59]\u00a0\u00a0\u00a0 K. D. Apostolidis, T. Kalampokas, T. P. Pachidis, V. G. Kaburlasos, \u201cGrapevine plant image dataset for pruning\u201d, <em>Data<\/em>, vol. 7, iss. 8, 110, 2022. <a href=\"https:\/\/doi.org\/10.3390\/data7080110\">https:\/\/doi.org\/10.3390\/data7080110<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#60]\u00a0\u00a0\u00a0 E. Vrochidou, V. N. Tsakalidou, I. Kalathas, T. Gkrimpizis, T. Pachidis, V. G. Kaburlasos, \u201cAn overview of end-effectors in agricultural robotic harvesting systems\u201d, <em>Agriculture<\/em>, vol. 12, iss. 8, 1240, 2022. <a href=\"https:\/\/doi.org\/10.3390\/agriculture12081240\">https:\/\/doi.org\/10.3390\/agriculture12081240<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#61]\u00a0\u00a0\u00a0 C. Chariskou, E. Vrochidou, A. J. Daniels, V. G. Kaburlasos, \u201cVariable selection on reflectance NIR spectra for the prediction of TSS in intact berries of Thompson seedless grapes\u201d, <em>Agronomy<\/em>, vol. 12, no. 9, 2113, 2022. <a href=\"https:\/\/doi.org\/10.3390\/agronomy12092113\">https:\/\/doi.org\/10.3390\/agronomy12092113<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#62]\u00a0\u00a0\u00a0 V. Holeva, V. A. Nikopoulou, C. Lytridis, C. Bazinas, P. Kechayas, G. Sidiropoulos, M. Papadopoulou, M. D. Kerasidou, C. Karatsioras, N. Geronikola, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, \u201cEffectiveness of a robot-assisted psychological intervention for children with autism spectrum disorder\u201d, <em>Journal of Autism and Developmental Disorders<\/em>, Published online: 04 November 2022, <a href=\"https:\/\/doi.org\/10.1007\/s10803-022-05796-5\">https:\/\/doi.org\/10.1007\/s10803-022-05796-5<\/a><\/p><p>SCIE\u00a0\u00a0 [\u0395\u03a0#63]\u00a0\u00a0\u00a0 C. Lytridis, C. Bazinas, T. Pachidis, V. Chatzis, V. G. Kaburlasos, \u201cCoordinated navigation of two agricultural robots in a vineyard: A simulation study\u201d, <em>Sensors<\/em>, vol. 22, no. 23, 9095, 2022. <a href=\"https:\/\/doi.org\/10.3390\/s22239095\">https:\/\/doi.org\/10.3390\/s22239095<\/a> (Special Issue on<em> Computational Intelligence and Cyberphysical Systems in Sensing<\/em>. <a href=\"https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/S5WO1ME30T\">https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/S5WO1ME30T<\/a>\u00a0 Guest Editor: Manuel Gra\u03c1a)<\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#64]\u00a0\u00a0\u00a0 E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, \u201cComparative assessment of environmental\/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture\u201d, <em>Sustainability<\/em>, vol. 15, no. 3, 2753, 2023. <a href=\"https:\/\/doi.org\/10.3390\/su15032753\">https:\/\/doi.org\/10.3390\/su15032753<\/a> (Topical Collection \u201cEnvironmental Assessment, Life Cycle Analysis and Sustainability\u201d. Editors: George Banias, Sotiris Patsios, Konstantinos N. Kontogiannopoulos, Kleoniki Pouikli) <a href=\"https:\/\/www.mdpi.com\/journal\/sustainability\/topical_collections\/environmental_assessment_life_cycle_analysis\">https:\/\/www.mdpi.com\/journal\/sustainability\/topical_collections\/environmental_assessment_life_cycle_analysis<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#65]\u00a0\u00a0\u00a0 E. Tziolas, E. Karapatzak, I. Kalathas, A. Karampatea, A. Grigoropoulos, A. Bajoub, T. Pachidis, V. G. Kaburlasos, \u201cAssessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices\u201d, <em>Sustainability<\/em>, vol. 15, no. 4, 3866, 2023. <a href=\"https:\/\/www.mdpi.com\/2071-1050\/15\/4\/3866\">https:\/\/www.mdpi.com\/2071-1050\/15\/4\/3866<\/a> (Special Issue \u201cSustainability in Circular Bioeconomy\u201d. Editors: Maria Batsioula, Apostolos Malamakis, Spiliotis Xenofon, George Banias) <a href=\"https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/circular_bio_economy\">https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/circular_bio_economy<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#66]\u00a0\u00a0\u00a0 C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, E. Moschou, V. G. Kaburlasos, \u201cGrape maturity estimation for personalized agrobot harvest by fuzzy lattice reasoning (FLR) on an ontology of constraints\u201d, <em>Sustainability<\/em>, vol. 15, no. 9, 7331, 2023. <a href=\"https:\/\/doi.org\/10.3390\/su15097331\">https:\/\/doi.org\/10.3390\/su15097331<\/a> (Special Issue Computational Intelligence for Sustainability. Guest Editors: Zhebin Xue, Xianyi Zeng) <a href=\"https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/Computational_IntelligenceSustainability\">https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/Computational_IntelligenceSustainability<\/a><\/p><p>?\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#67]\u00a0\u00a0\u00a0 E. Badeka, E. Karapatzak, A. Karampatea, E. Bouloumpasi, I. Kalathas, C. Lytridis, E. Tziolas, V. N. Tsakalidou, V. G. Kaburlasos, \u201cA deep learning approach for precision viticulture, assessing grape maturity via YOLOv7\u201d, <em>Sensors<\/em>, vol. 23, no. 19, 8126, 2023. <a href=\"https:\/\/doi.org\/10.3390\/s23198126\">https:\/\/doi.org\/10.3390\/s23198126<\/a> (Special Issue \u201cIntelligent Sensing and Machine Vision in Precision Agriculture\u201d. Guest Editors: Yuwei Wang, Liqing Chen, Peng Chen, Bolin Cai) <a href=\"https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/Z1SF644ZAW\">https:\/\/www.mdpi.com\/journal\/sensors\/special_issues\/Z1SF644ZAW<\/a><\/p><p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0395\u03a0#68]\u00a0\u00a0\u00a0 C. Lytridis, C. Bazinas, I. Kalathas, G. Siavalas, C. Tsakmakis, T. Spirantis, E. Badeka, T. Pachidis, V. G. Kaburlasos, \u201cCooperative grape harvesting using heterogeneous autonomous robots\u201d, <em>Robotics<\/em>, vol. 12, no. 6, 147, 2023. <a href=\"https:\/\/doi.org\/10.3390\/robotics12060147\">https:\/\/doi.org\/10.3390\/robotics12060147<\/a> (Special Issue \u201cRobotics and AI for Precision Agriculture\u201d. Guest Editor: Giulio Reina) <a href=\"https:\/\/www.mdpi.com\/journal\/robotics\/special_issues\/6I728O9Q5W\">https:\/\/www.mdpi.com\/journal\/robotics\/special_issues\/6I728O9Q5W<\/a><\/p><p class=\"translation-block\"><strong><u>Book Chapters (BC)<\/strong><\/u><\/p><p><u>\u00a0<\/u><\/p><p>[K\u0392#1]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cLearning and decision-making in the framework of fuzzy lattices\u201d. In: <em>New Learning Paradigms in Soft Computing<\/em>, L.C. Jain and J. Kacprzyk (eds.), pp. 55-96, 2002. Heidelberg, Germany: Physica-Verlag, series: Studies in Fuzziness and Soft Computing, vol. 84, ISBN: 3-7908-1436-9.<\/p><p>[K\u0392#2]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cGranular enhancement of fuzzy-ART\/SOM neural classifiers based on lattice theory\u201d. In: <em>Computational Intelligence Based on Lattice Theory<\/em>, V.G. Kaburlasos and G.X. Ritter (eds.). pp. 3-23, 2007. Heidelberg, Germany: Springer, series: Studies in Computational Intelligence, vol. 67, ISBN: 3-540-72686-9.<\/p><p>[K\u0392#3]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cUnified analysis and design of ART\/SOM neural networks and fuzzy inference systems based on lattice theory\u201d. In: <em>Computational and Ambient Intelligence<\/em>, F. Sandoval, A. Prieto, J. Cabestany, M. Gra\u03c1a (eds.), pp. 80-93, 2007. Springer-Verlag, series: Lecture Notes Computer Science (LNCS), vol. 4507, ISBN: 3-540-73006-0.<\/p><p>[K\u0392#4]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cNeural\/fuzzy computing based on lattice theory\u201d. In: <em>Encyclopedia of Artificial Intelligence<\/em>, Juan Ram\u03c3n Rabu\u03c1al Dopico, Juli\u03b1n Dorado de la Calle, Alejandro Pazos Sierra (eds.), pp. 1238-1243, 2009. Information Science Reference, IGI Global publication, ISBN: 1-599-04849-3.<\/p><p>[K\u0392#5]\u00a0\u00a0\u00a0\u00a0\u00a0 A. Amanatiadis, A. Gasteratos, S. Papadakis, V. Kaburlasos, \u201cImage Stabilization in Active Robot Vision\u201d. In: <em>Robot Vision<\/em>, Ale\u009a Ude (ed.), pp. 261-274, 2010. Vukovar, Croatia: In-Tech, ISBN: 978-953-307-077-3.<\/p><p>[K\u0392#6]\u00a0\u00a0\u00a0\u00a0\u00a0 A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, \u201cOn constructing distance and similarity measures based on fuzzy implications\u201d. In: <em>Handbook of Fuzzy Sets Comparison \u2013 Theory, Algorithms and Applications<\/em>, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), 2016. Science Gate Publishing (SGP) vol. 6, <a href=\"http:\/\/sciencegatepub.com\/books\/gcsr\/gcsr_vol6\/\">http:\/\/sciencegatepub.com\/books\/gcsr\/gcsr_vol6\/<\/a> .<\/p><p>[K\u0392#7]\u00a0\u00a0\u00a0\u00a0\u00a0 Y. Liu, V.G. Kaburlasos, A.G. Hatzimichailidis, Y. Xu, \u201cToward a synergy of a lattice implication algebra with fuzzy lattice reasoning \u2013 a lattice computing approach\u201d. In: <em>Handbook of Fuzzy Sets Comparison \u2013 Theory, Algorithms and Applications<\/em>, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), 2016. Science Gate Publishing (SGP) vol. 6, <a href=\"http:\/\/sciencegatepub.com\/books\/gcsr\/gcsr_vol6\/\">http:\/\/sciencegatepub.com\/books\/gcsr\/gcsr_vol6\/<\/a> .<\/p><p>[K\u0392#8]\u00a0\u00a0\u00a0\u00a0\u00a0 V. Kaburlasos, E. Vrochidou, \u201cSocial robots for pedagogical rehabilitation: trends and novel modeling principles\u201d. In: <em>Cyber-Physical Systems for Social Applications<\/em>, M. Dimitrova &amp; H. Wagatsuma (Eds.), pp. 1-21, 2019. IGI Global: Pennsylvania, USA. ISBN13: 9781522578796, DOI: 10.4018\/978-1-5225-7879-6. <a href=\"https:\/\/www.igi-global.com\/chapter\/social-robots-for-pedagogical-rehabilitation\/224413\">https:\/\/www.igi-global.com\/chapter\/social-robots-for-pedagogical-rehabilitation\/224413<\/a> (Open Access)<\/p><p>[K\u0392#9]\u00a0\u00a0\u00a0\u00a0\u00a0 M. Youssfi, F. Ezzahra Ezzrhari, Y. Hajoui, O. Bouattane, V. Kaburlasos, \u201cMulti-micro-agent system middleware model based on event sourcing and CQRS patterns\u201d. In: <em>Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart Applications<\/em>, A. Boulmakoul, L. Karim, B. Bhushan (Eds.), chapter 2, pp. 25-46, 2022. CRC Press, Taylor &amp; Francis Group: Florida, USA. eBook ISBN 9781003255635, DOI: 10.1201\/9781003255635-2<\/p><p>[K\u0392#10]\u00a0\u00a0 G. Siavalas, E. Vrochidou, V. G. Kaburlasos, \u201cUnmanned aerial vehicles for agricultural automation\u201d. In: <em>Unmanned Aerial Systems in Agriculture: Eyes Above Fields<\/em>, D. Bochtis, A. C. Tagarakis, D. Kateris (Eds.), chapter 6, pp. 113-158, August 11, 2023. Academic Press, Paperback ISBN: 9780323919401, eBook ISBN: 9780323914017<\/p><p class=\"translation-block\"><strong><u>Other Journals (OJ)<\/strong><\/u><\/p><p>J\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 [\u0391\u03a0#1]\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cThe engineering of scientific induction\u201d, <em>Journal of Liberal Arts<\/em>, vol. 4, no. 2, pp. 41-57, 1998.<\/p><p>Legend:<\/p><p>SCI: Science Citation Index\u00a0 \u00cc\u00a0 SCIE: SCI Expanded \u00ba Web of Science (WoS).\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 J: other journal.<\/p><p><strong><u>\u00a0<\/u><\/strong><\/p><p><strong><u>\u00a0<\/u><\/strong><\/p><p class=\"translation-block\"><strong><u>Conferences (C)<\/strong><\/u><\/p><p>[\u03a3#1]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, D.D. Egbert, P.H. Goodman, \u201cNeurocomputing classification of biomedical image patterns\u201d, <em>Proceedings of the International Society for Mini and Microcomputers (ISMM) International Conference on Computer Applications in Design Simulation and Analysis<\/em>, Reno NV, 22-24 Feb. 1989.<\/p><p>[\u03a3#2]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 P.H. Goodman, D.D. Egbert, V.G. Kaburlasos, \u201cWhiplash detection using neural network processing of infrared thermograms\u201d, <em>Proceedings of the 18th Annual Meetings American Academy of Thermology<\/em>, Johns Hopkins, 17-19 May 1989, and an abstract in <em>The Journal of the American Academy of Thermology and The Intl College of Thermology<\/em>, Vol. 3, No. 2, 1989, pp. 139.<\/p><p>[\u03a3#3]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, D.D. Egbert, E.C. Tacker, \u201cSelf-adaptive multidimensional Euclidean neural networks for pattern recognition\u201d, <em>Proceedings of the IEEE 1989 International Joint Conference on Neural Networks<\/em> (<em>IJCNN\u201989<\/em>), Washington DC, 18-22 June 1989, vol. 2, pp. 595.<\/p><p>[\u03a3#4]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 D.D. Egbert, V.G. Kaburlasos, P.H. Goodman, \u201cInvariant feature extraction for neurocomputer analysis of biomedical images\u201d, <em>Proceedings of the Second Annual IEEE Symposium on Computer-Based Medical Systems<\/em>, Univ. of Minnesota, 26-27 June 1989, pp. 69-73.<\/p><p>[\u03a3#5]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, E.C. Tacker, D.D. Egbert, \u201cA plastic self-adaptive learning machine for pattern recognition\u201d, <em>Proceedings of the 1989 IEEE International Conference on Systems, Man and Cybernetics<\/em>, Cambridge MA, 14-17 November 1989, vol. 2, pp. 824-827.<\/p><p>[\u03a3#6]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 D.D. Egbert, V.G. Kaburlasos, P.H. Goodman, \u201cNeural network discrimination of subtle image patterns\u201d, <em>Proceedings of the IEEE 1990 International Joint Conference on Neural Networks<\/em> (<em>IJCNN\u201990<\/em>), San-Diego CA, 14-17 June 1990, vol. 1, pp. 517-524.<\/p><p>[\u03a3#7]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, N.G. Publicover, D.D. Egbert, G. Liu, I.E. Burbey, \u201cMonitoring the propagation of electrical excitation in smooth muscle tissue: a B-spline approach\u201d, <em>Proceedings of the IASTED 1990 International Conference on Artificial Intelligence Applications and Neural Networks<\/em>, Zurich Switzerland, 25-27 June 1990.<\/p><p>[\u03a3#8]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, D.D. Egbert, M. Rao, \u201cA hardware implementation of the adaptive resonance theory neural network\u201d, <em>Proceedings of the 1991 Golden West Conference on Intelligent Systems<\/em>, Reno NV, 3-5 June 1991, pp. 21-28.<\/p><p>[\u03a3#9]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 J.H. Whitchey, D.D. Egbert, V.G. Kaburlasos, P.H. Goodman, \u201cUnsupervised neural network discrimination of subtle image patterns\u201d, <em>Proceedings of the 1991 Golden West Conference on Intelligent Systems<\/em>, Reno NV, 3-5 June 1991, pp. 1-8.<\/p><p>[\u03a3#10]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 P.H. Goodman, V.G. Kaburlasos, D.D. Egbert, G.A. Carpenter, S. Grossberg, J.H. Reynolds, K. Hammermeister, G. Marshall, F. Grover, \u201cFuzzy ARTMAP neural network prediction of heart surgery mortality\u201d, <em>Proceedings of the Wang Conference on Neural Networks Learning, Recognition, and Control<\/em>, Boston MA, 14-17 May 1992, pp. 48.<\/p><p>[\u03a3#11]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A.J. Kelly, P.H.Goodman, V.G. Kaburlasos, D.D. Egbert, M.E. Hardin, \u201cNeural network prediction of child sexual abuse\u201d, <em>Clinical Research<\/em>, vol. 40, iss. 1, pp. A99, 1992.<\/p><p>[\u03a3#12]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 P.H. Goodman, V.G. Kaburlasos, D.D. Egbert, G.A. Carpenter, S. Grossberg, J.H. Reynolds, D.B. Rosen, A.J. Hartz, \u201cFuzzy ARTMAP neural network compared to linear discriminant analysis prediction of the length of hospital stay in patients with pneumonia\u201d, in <em>Fuzzy Logic Technology &amp; Applications<\/em>, R.J. Marks II (ed.), chapter 11 Bioengineering, 1994. New York, NY: IEEE Press (<em>Proceedings of the IEEE 1992 Intl. Conf. on Systems, Man and Cybernetics<\/em>, Chicago IL, 18-21 October 1992, vol. 1, pp. 748-753).<\/p><p>[\u03a3#13]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u0392. \u03a0\u03b5\u03c4\u03c1\u03af\u03b4\u03b7\u03c2, \u0392. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u0395. \u03a0\u03b1\u03c4\u03b5\u03c1\u03ac\u03ba\u03b7\u03c2, \u0391. \u039a\u03b5\u03c7\u03b1\u03b3\u03b9\u03ac\u03c2, \u201c\u0391\u03c3\u03b1\u03c6\u03b5\u03af\u03c2, \u03bd\u03b5\u03c5\u03c1\u03c9\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03b5\u03c5\u03c6\u03c5\u03bf\u03cd\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u201d, <em>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac \u0394\u03b9\u03b7\u03bc\u03ad\u03c1\u03bf\u03c5 \u201c\u03a3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03b5\u03c2 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03bf\u03c5 \u0395\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u201d \u03bc\u03b5 \u03c7\u03bf\u03c1\u03b7\u03b3\u03cc \u03c4\u03bf \u03a4\u03b5\u03c7\u03bd\u03b9\u03ba\u03cc \u0395\u03c0\u03b9\u03bc\u03b5\u03bb\u03b7\u03c4\u03ae\u03c1\u03b9\u03bf \u0395\u03bb\u03bb\u03ac\u03b4\u03b1\u03c2<\/em>, \u0391\u03b8\u03ae\u03bd\u03b1, \u039e\u03b5\u03bd\u03bf\u03b4\u03bf\u03c7\u03b5\u03af\u03bf Intercontinental, 14-15 \u0394\u03b5\u03ba. 1995, \u03c3\u03b5\u03bb. 93-97.<\/p><p>[\u03a3#14]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, P. Brett, T. Parker, J.C.C. Day, \u201cTwo level fuzzy lattice (2L-FL) supervised clustering: a new method for soft tissue identification in surgery\u201d, <em>Proceedings of the CESA \/ IMACS 1996 Multiconference<\/em>, Lille France, 9-12 July 1996, pp. 232-237.<\/p><p>[\u03a3#15]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cFuzzy lattice neurocomputing (FLN)\u201d, <em>Proceedings of the Fifth International Conference on Intelligent Systems<\/em>, Reno NV, 19-21 June 1996, pp. 56-60.<\/p><p>[\u03a3#16]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cFLN: a fuzzy lattice neurocomputing scheme for clustering\u201d, <em>Proceedings of the 1996 World Congress on Neural Networks<\/em>, San Diego CA, 15-20 September 1996, pp. 942-945.<\/p><p>[\u03a3#17]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Kaburlasos, V. Petridis, B. Allotta, P. Dario, \u201cAutomatic detection of bone breakthrough in orthopedics by fuzzy lattice reasoning (FLR): the case of drilling in the osteosynthesis of long bones\u201d, <em>Proceedings of the Mechatronical Computer Systems for Perception and Action (MCPA\u201997)<\/em>, Pisa Italy, 10-12 February 1997, pp. 33-40.<\/p><p>[\u03a3#18]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, P. Brett, D. Baker, \u201cOn-line estimation of the stapes-bone thickness in stapedotomy by learning a linear association of the force and torque drilling profiles\u201d, <em>Proceedings of the IASTED 1997 International Conference on Intelligent Information Systems<\/em> (<em>ISS\u201997<\/em>), Grand Bahama Island, Bahamas, 8-10 December 1997, pp. 80-84.<\/p><p>[\u03a3#19]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, P. Brett, D. Baker, \u201cLearning a linear association of drilling profiles in stapedotomy surgery\u201d, <em>Proceedings of the IEEE 1998 International Conference on Robotics &amp; Automation (ICRA\u201998)<\/em>, Leuven, Belgium, 16-20 May 1998, vol.1, pp. 705-710.<\/p><p>[\u03a3#20]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cA unifying framework for hybrid information processing\u201d, <em>Proceedings of the ISCA 7<sup>th<\/sup> International Conference on Intelligent Systems (ICIS\u201998)<\/em>, Paris, France, 1-3 July 1998, pp. 68-71.<\/p><p>[\u03a3#21]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u0392. \u03a0\u03b5\u03c4\u03c1\u03af\u03b4\u03b7\u03c2, \u0392. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u0391. \u039a\u03b5\u03c7\u03b1\u03b3\u03b9\u03ac\u03c2, \u201c\u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ce\u03bd \u03b5\u03c5\u03c6\u03c5\u03bf\u03cd\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c3\u03b5 \u03c7\u03b5\u03b9\u03c1\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b5\u03bc\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2\u201d, <em>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac 2<sup>\u03bf\u03c5<\/sup> \u03a3\u03c5\u03bd\u03b5\u03b4\u03c1\u03af\u03bf\u03c5 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd<\/em>, \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7, \u03a3\u03c5\u03bd\u03b5\u03b4\u03c1\u03b9\u03b1\u03ba\u03cc \u039a\u03ad\u03bd\u03c4\u03c1\u03bf HELEXPO, 2-3 \u039f\u03ba\u03c4\u03c9\u03b2\u03c1\u03af\u03bf\u03c5 1998, \u03c3\u03b5\u03bb. 182-187.<\/p><p>[\u03a3#22]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cRegression on heterogeneous fuzzy data\u201d, <em>Proceedings of the 7<sup>th<\/sup> European Congress on Intelligent Techniques and Soft Computing<\/em> (<em>EUFIT\u201999<\/em>), Aachen, Germany, 13-16 September 1999, session CC2.<\/p><p>[\u03a3#23]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cModeling of systems using heterogeneous data\u201d, <em>Proceedings of the 1999 IEEE International Conference Systems, Man &amp; Cybernetics<\/em> (<em>IEEE SMC\u201999<\/em>), Tokyo, Japan, 12-15 October 1999, session FQ04, pp. V308-V313.<\/p><p>[\u03a3#24]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, \u201cAn intelligent mechatronics solution for automated tool guidance in the epidural surgical procedure\u201d, <em>Proceedings of the 7<sup>th<\/sup> Annual Conference on Mechatronics and Machine Vision in Practice<\/em> (<em>M2VIP\u201900<\/em>), Hervey Bay, Australia, 19-21 September 2000, pp. 201-206.<\/p><p>[\u03a3#25]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u0392. \u03a0\u03b5\u03c4\u03c1\u03af\u03b4\u03b7\u03c2, \u0392. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u03a3. \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u039b. \u03a0\u03ad\u03c4\u03c1\u03bf\u03c5, \u0393. \u03a7\u03b1\u03c3\u03ac\u03c0\u03b7\u03c2, \u201c\u03a0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c5\u03c0\u03b5\u03c1-\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf: \u039b\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc \u03b5\u03be\u03ac\u03c3\u03ba\u03b7\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03c7\u03c1\u03cc\u03bd\u03bf\u03c5 (\u03a0\u03a5\u039b\u0395\u03a3)\u201d, <em>\u03a0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u0395\u03b9\u03c3\u03b7\u03b3\u03ae\u03c3\u03b5\u03c9\u03bd \u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03ae\u03bd\u03b9\u03bf\u03c5 \u03a3\u03c5\u03bd\u03b5\u03b4\u03c1\u03af\u03bf\u03c5 \u03bc\u03b5 \u03b8\u03ad\u03bc\u03b1 <\/em>\u201c<em>\u0388\u03c1\u03b5\u03c5\u03bd\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ae \u0395\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7<\/em>\u201d \u03bc\u03b5 \u03c7\u03bf\u03c1\u03b7\u03b3\u03cc \u03c4\u03bf \u039a\u03ad\u03bd\u03c4\u03c1\u03bf \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0388\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 (\u039a.\u0395.\u0395.) \u03c4\u03bf\u03c5 \u03a5\u03c0\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03bf\u03c5 \u0395\u03b8\u03bd\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b1\u03b9\u03b4\u03b5\u03af\u03b1\u03c2 &amp; \u0398\u03c1\u03b7\u03c3\u03ba\u03b5\u03c5\u03bc\u03ac\u03c4\u03c9\u03bd, \u0391\u03b8\u03ae\u03bd\u03b1, \u039e\u03b5\u03bd\u03bf\u03b4\u03bf\u03c7\u03b5\u03af\u03bf \u03a4\u03b9\u03c4\u03ac\u03bd\u03b9\u03b1, 21-23 \u03a3\u03b5\u03c0\u03c4\u03b5\u03bc\u03b2\u03c1\u03af\u03bf\u03c5 2000, \u03c3\u03b5\u03bb. 200-206.<\/p><p>[\u03a3#26]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, A. Kallinakis, \u201cIntelligent clustering techniques for prediction of sugar production\u201d, <em>Proceedings of the European Workshop on Intelligent Forecasting, Diagnosis and Control<\/em>, Santorini, Greece, 24-28 June 2001.<\/p><p>[\u03a3#27]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, L. Petrou, V.G. Kaburlasos, V. Spais, S. Kazarlis, \u201cModels for predicting sugar production in Greece\u201d, <em>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac<\/em> <em>\u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03b7\u03bd\u03af\u03bf\u03c5<\/em> <em>\u03a3\u03c5\u03bd\u03b5\u03b4\u03c1\u03af\u03bf\u03c5<\/em> <em>\u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd<\/em><em>, <\/em><em>\u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2<\/em> <em>\u03ba\u03b1\u03b9<\/em> <em>\u0392\u03b9\u03bf\u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2<\/em> <em>\u03a0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2<\/em><em> \u2013 <\/em><em>\u039f<\/em> <em>\u03a1\u03cc\u03bb\u03bf\u03c2<\/em> <em>\u03c4\u03b7\u03c2<\/em> <em>\u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2<\/em> <em>\u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ce\u03bd<\/em>, \u03a3\u03b1\u03bd\u03c4\u03bf\u03c1\u03af\u03bd\u03b7, 28-30 \u0399\u03bf\u03c5\u03bd\u03af\u03bf\u03c5 2001.<\/p><p>[\u03a3#28]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Petridis, V.G. Kaburlasos, P. Fragkou, A. Kehagias, \u201cText classification using the \u03c3-FLNMAP neural network\u201d, <em>Proceedings of the 2001 International Joint Conference on Neural Networks <\/em>(<em>IJCNN\u20192001<\/em>), Washington D.C., 14-19 July 2001, vol. 2, pp. 1362-1367.<\/p><p>[\u03a3#29]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cNovel fuzzy system modeling for automatic control applications\u201d, <em>Proceedings <\/em><em>of the <\/em><em>4<sup>th<\/sup> Intl. Conference on Technology &amp; Automation<\/em>, Thessaloniki, Greece, 5-6 October 2002, pp. 268-275.<\/p><p>[\u03a3#30]\u00a0\u00a0\u00a0 V.G. Kaburlasos, S. Kazarlis, \u201c<em>s<\/em><em>-FLNMAP<\/em> with voting (<em>s<\/em><em>FLNMAPwV<\/em>): a genetically optimized ensemble of classifiers with the capacity to deal with partially-ordered, disparate types of data. Application to financial problems\u201d, <em>Proceedings of the <\/em><em>4<sup>th<\/sup> Intl. Conference on Technology &amp; Automation<\/em>, Thessaloniki, Greece, 5-6 October 2002, pp. 276-281.<\/p><p>[\u03a3#31]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Petridis, \u201cImproved prediction of industrial yield based on tools from a normed linear space of Fuzzy Interval Numbers (FINs)\u201d, <em>Proceedings of the <\/em><em>11<sup>th<\/sup> Mediterranean Conference on Control and Automation<\/em> (<em>MED\u201903<\/em>), Rhodes, Greece, 18-20 June 2003, session FM1-B.<\/p><p>[\u03a3#32]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Cripps, V.G. Kaburlasos, N. Nguyen, S.E. Papadakis, \u201cImproved experimental results using fuzzy lattice neurocomputing (FLN) classifiers\u201d, <em>Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications<\/em> (<em>MLMTA\u201903<\/em>), Las Vegas, NV, 23-26 June 2003, pp. 161-166.<\/p><p>[\u03a3#33]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 I.N. Athanasiadis, V.G. Kaburlasos, P.A. Mitkas, V. Petridis, \u201cApplying machine learning techniques on air quality data for real-time decision support\u201d, <em>Proceedings <\/em><em>1<sup>st<\/sup> Intl. NAISO Symposium on Information Technologies in Environmental Engineering<\/em> (<em>ITEE\u20192003<\/em>), Gdansk, Poland, 24-27 June 2003. Technical Session 2: Practical Applications and Experiences. Abstract in ICSC-NAISO Academic Press, Canada (ISBN:3906454339), p.51.<\/p><p>[\u03a3#34]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, L. Moussiadis, V. Tsoukalas, A. Iliopoulou, T. Alevizos, \u201cAdaptive technological education delivery and student examination based on machine-learning tools\u201d, <em>Supplementary Proceedings International Conference on Artificial Neural Networks &amp; International Conference on Neural Information Processing <\/em>(<em>ICANN\/ICONIP 2003<\/em>), Istanbul, Turkey, 26-29 June 2003, pp. 478-481 (<em>invited paper<\/em> in Special Session SS05: Machine Learning Advances for Engineering Education).<\/p><p>[\u03a3#35]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Cripps, N. Nguyen, V.G. Kaburlasos, \u201cThree improved fuzzy lattice neurocomputing (FLN) classifiers\u201d, <em>Proceedings of the 2003 International Joint Conference on Neural Networks <\/em>(<em>IJCNN\u20192003<\/em>), Portland, OR, 20-24 July 2003, vol. 3, pp. 1957-1962.<\/p><p>[\u03a3#36]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cImproved fuzzy lattice neurocomputing (FLN) for semantic neural computing\u201d, <em>Proceedings of the 2003 International Joint Conference on Neural Networks <\/em>(<em>IJCNN\u20192003<\/em>), Portland, OR, 20-24 July 2003, vol. 3, pp. 1850-1855.<\/p><p>[\u03a3#37]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, S. Kazarlis, \u201cA genetically optimized ensemble of s-FLNMAP neural classifiers based on non-parametric probability distribution functions\u201d, <em>Proceedings of the 2003 International Joint Conference on Neural Networks <\/em>(<em>IJCNN\u20192003<\/em>), Portland, OR, 20-24 July 2003, vol. 1, pp. 426-431.<\/p><p>[\u03a3#38]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cA device for linking brain to mind based on lattice theory\u201d, <em>Proceedings of the 8<sup>th<\/sup> International Conference on Cognitive and Neural Systems<\/em> (<em>ICCNS 2004<\/em>), Boston University, Boston, MA, 19-22 May 2004, p. 58.<\/p><p>[\u03a3#39]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 S.E. Papadakis, C.C. Marinagi, V.G. Kaburlasos, M.K. Theodorides, \u201cEstimation of industrial production using the granular self-organizing map (grSOM)\u201d, <em>Proceedings of the <\/em><em>12<sup>th<\/sup> Mediterranean Conference on Control and Automation<\/em> (<em>MED\u201904<\/em>), Kusadasi, Turkey, 6-9 June 2004, session TuM2-D.<\/p><p>[\u03a3#40]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, \u201cgrSOM: A granular extension of the self-organizing map for structure identification applications\u201d, <em>Proceedings of the <\/em><em>IEEE International Conference on Fuzzy Systems<\/em> (<em>FUZZ-IEEE<\/em> 2004), Budapest, Hungary, 25-29 July 2004, vol. 2, pp. 789-794.<\/p><p>[\u03a3#41]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, A. Kehagias, \u201cNovel analysis and design of fuzzy inference systems based on lattice theory\u201d, <em>Proceedings of the <\/em><em>IEEE International Conference on Fuzzy Systems<\/em> (<em>FUZZ-IEEE<\/em> 2004), Budapest, Hungary, 25-29 July 2004, vol.1 pp. 281-286.<\/p><p>[\u03a3#42]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, C.C. Marinagi, V.T. Tsoukalas, \u201cPARES: a software tool for computer-based testing and evaluation used in the Greek higher education system\u201d, <em>Proceedings of the 4<sup>th<\/sup> IEEE International Conference on Advanced Learning Technologies<\/em> (<em>ICALT 2004<\/em>), Joensuu, Finland, 30 August &#8211; 1 September 2004, pp. 771-773.<\/p><p>[\u03a3#43]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C.C. Marinagi, V.T. Tsoukalas, V.G. Kaburlasos, \u201cWork in Progress &#8211; Development and use of a software tool for improving the average student performance in the Greek higher education system\u201d, <em>Proceedings of the <\/em><em>34<sup>th<\/sup> ASEE\/IEEE <\/em><em>Frontiers in Education Conference<\/em> (<em>FIE 2004<\/em>), Savannah, Georgia, 20-23 October 2004, session S3B, pp. 18-19.<\/p><p>[\u03a3#44]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Chatzis, V. Tsiantos, M. Theodorides, \u201cGranular self-organizing map (grSOM) neural network for industrial quality control\u201d, <em>Proceedings of <\/em><em>SPIE,<\/em> <em>Mathematical Methods in Pattern and Image Analysis<\/em>, JT Astola, I T\u0103bu\u015f, J Barrera (eds.), San Diego, California, 3-4 August 2005, vol. 5916, pp. 59160J: 1-10.<\/p><p>[\u03a3#45]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 S.E. Papadakis, V.G. Kaburlasos, \u201cmass-grSOM: a flexible rule extraction for classification\u201d, <em>5<sup>th<\/sup> Workshop on Self-Organizing Maps<\/em> (<em>WSOM 2005<\/em>), Paris, France, 5-8 September 2005, pp. 553-560.<\/p><p>[\u03a3#46]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Chatzis, V.G. Kaburlasos, M. Theodorides, \u201cAn image processing method for particle size and shape estimation\u201d, <em>Proceedings of the 2<sup>rd<\/sup> <\/em><em>International Scientific Conference on Computer Science<\/em>, <strong>Chalkidiki, Greece, 30 September &#8211; 2 October 2005, part II, pp. 7-12.<\/strong><\/p><p>[\u03a3#47]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u0391. \u039c\u03b1\u03c1\u03b9\u03bd\u03ac\u03b3\u03b7, \u0392. \u03a4\u03c3\u03bf\u03c5\u03ba\u03b1\u03bb\u03ac\u03c2, \u0392. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u201cPARES: \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03b1\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03be \u03b1\u03c0\u03bf\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc-\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2,\u201d <em>Proceedings of the 3<sup>rd<\/sup> International Conference on Open and Distance Learning<\/em> (<em>ICODL 2005<\/em>) \u2013 <em>Applications of Pedagogy and Technology<\/em>, Patras, Greece, 11-13 November 2005, vol. A, pp. 638-650.<\/p><p>[\u03a3#48]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C. Marinagi, T. Alevizos, V.G. Kaburlasos, C. Skourlas, \u201cFuzzy interval number (FIN) techniques for cross language information retrieval\u201d, <em>Proceedings<\/em> <em>of<\/em> <em>the<\/em> <em>8th International Conference on Enterprise Information Systems<\/em> (<em>ICEIS <\/em><em>2006<\/em>), Paphos, Cyprus, 23-27 May 2006, pp. 249-256.<\/p><p>[\u03a3#49]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Hatzimichailidis, V. Kaburlasos, B. Papadopoulos, \u201cAn implication in fuzzy sets\u201d, <em>Proceedings of the World Congress on Computational Intelligence (WCCI) 2006, FUZZ-IEEE Program<\/em>, Vancouver, BC, Canada, 16-21 July 2006, pp. 203-208.<\/p><p>[\u03a3#50]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 I.N. Athanasiadis, V. Kaburlasos, \u201cAir quality assessment using fuzzy lattice reasoning (FLR)\u201d, <em>Proceedings of the World Congress on Computational Intelligence (WCCI) 2006, FUZZ-IEEE Program<\/em>, Vancouver, BC, Canada, 16-21 July 2006, pp. 231-236.<\/p><p>[\u03a3#51]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, A. Christoforidis, \u201cGranular auto-regressive moving average (grARMA) model for predicting a distribution from other distributions. real-world applications\u201d, <em>Proceedings of the World Congress on Computational Intelligence (WCCI) 2006, FUZZ-IEEE Program<\/em>, Vancouver, BC, Canada, 16-21 July 2006, pp. 791-796.<\/p><p>[\u03a3#52]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C.C. Marinagi, V.G. Kaburlasos, \u201cWork in Progress &#8211; Practical computerized adaptive assessment based on Bayesian decision theory\u201d, <em>Proceedings of the <\/em><em>36<sup>th<\/sup> ASEE\/IEEE <\/em><em>Frontiers in Education Conference<\/em> (<em>FIE 2006<\/em>), San Diego, CA, 28-31 October 2006, session S2E, pp. 23-24.<\/p><p>[\u03a3#53]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 T. Alevizos, V.G. Kaburlasos, S. Papadakis, C. Skourlas, \u201cFuzzy interval numbers (FINs) techniques and applications\u201d, <em>Proceedings<\/em> <em>of<\/em> <em>the 11<sup>th<\/sup> <\/em><em>Panhellenic Conference in Informatics<\/em> (<em>PCI <\/em><em>2007<\/em>), Patras, Greece, 18-20 May 2007, vol. B, pp. 255-264.<\/p><p>[\u03a3#54]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 T. Alevizos, V.G. Kaburlasos, S. Papadakis, C. Skourlas, P. Belsis, \u201cFuzzy interval number (FIN) techniques for multilingual and cross language information retrieval\u201d, <em>Proceedings<\/em> <em>of<\/em> <em>the<\/em> <em>9th International Conference on Enterprise Information Systems<\/em> (<em>ICEIS <\/em><em>2007<\/em>), Funchal, Madeira &#8211; Portugal, 12-16 June 2007, pp. 348-355.<\/p><p>[\u03a3#55]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 S. Papadakis, V.G. Kaburlasos, \u201cInduction of classification rules from histograms\u201d, <em>Joint Conference on Information Sciences<\/em> (<em>JCIS 2007<\/em>), <em>Proceedings<\/em> <em>of<\/em> <em>the<\/em> <em>8<\/em><em><sup>th<\/sup><\/em> <em>International<\/em> <em>Conference<\/em> <em>on<\/em> <em>Natural<\/em> <em>Computing<\/em> (<em>NC<\/em><em> 2007<\/em>), Salt Lake City, Utah, 18-24 July 2007, pp. 1646-1652.<\/p><p>[\u03a3#56]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, S. Papadakis, \u201cFuzzy lattice reasoning (FLR) implies a granular enhancement of the fuzzy-ARTMAP classifier\u201d, <em>Joint Conference on Information Sciences<\/em> (<em>JCIS 2007<\/em>), <em>Proceedings<\/em> <em>of<\/em> <em>the<\/em> <em>8<\/em><em><sup>th<\/sup><\/em> <em>International<\/em> <em>Conference<\/em> <em>on<\/em> <em>Natural<\/em> <em>Computing<\/em> (<em>NC<\/em><em> 2007<\/em>), Salt Lake City, Utah, 18-24 July 2007, pp. 1610-1616.<\/p><p>[\u03a3#57]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, L. Moussiades, A. Vakali, \u201cGranular graph clustering in the Web\u201d, <em>Joint Conference on Information Sciences<\/em> (<em>JCIS 2007<\/em>), <em>Proceedings<\/em> <em>of<\/em> <em>the<\/em> <em>8<\/em><em><sup>th<\/sup><\/em> <em>International<\/em> <em>Conference<\/em> <em>on<\/em> <em>Natural<\/em> <em>Computing<\/em> (<em>NC<\/em><em> 2007<\/em>), Salt Lake City, Utah, 18-24 July 2007, pp. 1639-1645.<\/p><p>[\u03a3#58]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C. Skourlas, T. Alevizos, P. Belsis, K. Fragos, V.G. Kaburlasos, S. Papadakis, \u201c<strong>Fuzzy Interval Numbers (FINs) techniques and its applications in natural language queries processing and documents classification<\/strong>\u201d, <em>Proceedings<\/em> <em>of<\/em> <em>the<\/em> <em>3<\/em><em><sup>rd<\/sup><\/em> <em>Balkan<\/em> <em>Conference<\/em> <em>in<\/em> <em>Informatics<\/em> (<em>BCI<\/em><em> 2007<\/em>), Sofia, Bulgaria, 27-29 September 2007, pp. 17-28.<\/p><p>[\u03a3#59]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C.C. Marinagi, V.G. Kaburlasos, V.T. Tsoukalas, \u201cAn architecture for an adaptive assessment tool\u201d, <em>Proceedings of the <\/em><em>37<sup>th<\/sup> ASEE\/IEEE <\/em><em>Frontiers in Education Conference<\/em> (<em>FIE 2007<\/em>), Milwaukee, Wisconsin, 10-13 October 2007, session T3D: Distance Learning Assessment Tools, pp. 11-16.<\/p><p>[\u03a3#60]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C.C. Marinagi, V.T. Tsoukalas, V.G. Kaburlasos, \u201cModifying a client\/server architecture to a Web-based architecture for adaptive assessment\u201d, Proceedings entitled \u201cOperations Research and Tourism Development\u201d of the <em>20<sup>th<\/sup> National Conference of the Greek Operations Research Society<\/em>, Spetses island, Greece, 19-21 June 2008, vol. B, pp. 873-884.<\/p><p>[\u03a3#61]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C.C. Marinagi, V.G. Kaburlasos, \u201cBayesian Decision Theory for Multi-category Adaptive Testing\u201d, in <em>American Institute of Physics Conference Proceedings<\/em><em> 1048<\/em>, T.E. Simos, G. Psihoyios, Ch. Tsitouras (eds.), pp. 376-379 (International Conference on <em>Numerical Analysis and Applied Mathematics<\/em> (<em>ICNAAM<\/em>) 2008, Kos, Greece, 16-20 Sept. 2008).<\/p><p>[\u03a3#62]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, S.E. Papadakis, \u201cPiecewise-linear approximation of nonlinear models based on Interval Numbers (INs)\u201d, <em>Proceedings of the Lattice-Based Modeling (LBM 2008) Workshop, in conjunction with The Sixth International Conference on Concept Lattices and their Applications (CLA 2008)<\/em>, Olomouc, Czech Republic, 21-23 October 2008, pp. 13-22.<\/p><p>[\u03a3#63]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 S.E. Papadakis, V.G. Kaburlasos, \u201cComputation of a sufficient condition for system input redundancy\u201d, <em>Proceedings of the Lattice-Based Modeling (LBM 2008) Workshop, in conjunction with The Sixth International Conference on Concept Lattices and their Applications (CLA 2008)<\/em>, Olomouc, Czech Republic, 21-23 October 2008, pp. 23-31.<\/p><p>[\u03a3#64]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A.G. Hatzimichailidis, V.G. Kaburlasos, \u201cA novel fuzzy implication stemming from a fuzzy lattice inclusion measure\u201d, <em>Proceedings of the Lattice-Based Modeling (LBM 2008) Workshop, in conjunction with The Sixth International Conference on Concept Lattices and their Applications (CLA 2008)<\/em>, Olomouc, Czech Republic, 21-23 October 2008, pp. 59-66.<\/p><p>[\u03a3#65]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Amanatiadis, V.G. Kaburlasos, A. Gasteratos, S.E. Papadakis, \u201cA comparative study of invariant descriptors for shape retrieval\u201d, <em>Proceedings of the 2009 IEEE International Workshop on Imaging Systems &amp; Techniques (IST 2009)<\/em>, Shenzhen, China, 11-12 May 2009, pp. 391-394.<\/p><p>[\u03a3#66]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, A. Amanatiadis, S.E. Papadakis, \u201c2-D shape representation and recognition by lattice computing techniques\u201d, In: Emilio Corchado, Manuel Gra\u03c1a, Alexandre Manhaes Savio (Eds.), <em>Hybrid Artificial Intelligence Systems<\/em>,<em> Proceedings, Part II of the 5th International Conference (HAIS \u201810)<\/em>, San Sebasti\u03b1n, Spain, 23-25 June 2010, pp. 391-398. Springer-Verlag, series: Lecture Notes in Artificial Intelligence (LNAI), vol. 6077.<\/p><p>[\u03a3#67]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cGranular fuzzy inference system (FIS) design by lattice computing\u201d, In: Emilio Corchado, Manuel Gra\u03c1a, Alexandre Manhaes Savio (Eds.), <em>Hybrid Artificial Intelligence Systems<\/em>,<em> Proceedings, Part II of the 5th International Conference (HAIS \u201910)<\/em>, San Sebasti\u03b1n, Spain, 23-25 June 2010, pp. 410-417. Springer-Verlag, series: Lecture Notes in Artificial Intelligence (LNAI), vol. 6077.<\/p><p>[\u03a3#68]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C.C. Marinagi, V.G. Kaburlasos, \u201cWeb-based adaptive self-assessment of Greek higher education students: students\u2019 perspective\u201d, <em>Proceedings of the International<\/em><em> Conference on Education and New Learning Technologies<\/em> (<em>EDULEARN 12<\/em>), Barcelona, Spain, 2-4 July 2012. IATED Publications, pp. 2439-2448.<\/p><p>[\u03a3#69]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, \u201cFuzzy lattice reasoning (FLR) classifier for human facial expression recognition\u201d, <em>Proceedings of the 10<sup>th<\/sup> International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012)<\/em>, Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 633-638.<\/p><p>[\u03a3#70]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, \u201cA study on fuzzy D-implications\u201d, <em>Proceedings of the 10<sup>th<\/sup> International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012)<\/em>, Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 708-713.<\/p><p>[\u03a3#71]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 T. Pachidis, V.G. Kaburlasos, \u201cPerson identification based on lattice computing k-nearest-neighbor fingerprint classification\u201d, <em>16th International Conference on Knowledge-Based and Intelligent Information &amp; Engineering Systems (KES-2012)<\/em>, San Sebasti\u03b1n, Spain, 10-12 September 2012, Advances in Knowledge-Based and Intelligent Information and Engineering Systems. IOS Press, 2012, Manuel Gra\u03c1a, Carlos Toro, Jorge Posada, R. J. Howlett, L. C. Jain (Eds.), pp. 1720-1729.<\/p><p>[\u03a3#72]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, \u201cFuzzy lattice reasoning (FLR) extensions to lattice-valued logic\u201d, <em>16th Panhellenic Conference on Informatics (PCI 2012)<\/em>, Piraeus, Greece, 5-7 October 2012. IEEE 2012 Copyright, Dimitrios D. Vergados, Costas Lambrinoudakis (Eds.), pp. 445-448.<\/p><p>[\u03a3#73]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, G.A. Papakostas, T. Pachidis, A. Athinellis, \u201cIntervals\u2019 numbers (INs) interpolation \/extrapolation\u201d, <em>Proceedings of the <\/em><em>IEEE International Conference on Fuzzy Systems<\/em> (<em>FUZZ-IEEE<\/em> 2013), Hyderabad, India, 7-10 July 2013.<\/p><p>[\u03a3#74]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 G.A. Papakostas, V.G. Kaburlasos, T. Pachidis, \u201cThermal infrared face recognition based on lattice computing (LC) techniques\u201d, <em>Proceedings of the <\/em><em>IEEE International Conference on Fuzzy Systems<\/em> (<em>FUZZ-IEEE<\/em> 2013), Hyderabad, India, 7-10 July 2013.<\/p><p>[\u03a3#75]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.T. Tsoukalas, V.G. Kaburlasos, C. Skourlas, \u201cA granular, parametric KNN classifier\u201d, <em>17th Panhellenic Conference on Informatics (PCI 2013)<\/em>, Thessaloniki, Greece, 19-21 September 2013, pp. 319-326.<\/p><p>[\u03a3#76]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 G.A. Papakostas, V.G. Kaburlasos, \u201cLattice Computing (LC) meta-representation for pattern classification\u201d, <em>Proceedings of the World Congress on Computational Intelligence (WCCI) 2014, FUZZ-IEEE Program<\/em>, Beijing, China, 6-11 July 2014, pp. 39-44.<\/p><p>[\u03a3#77]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Tsoukalas, L. Moussiades, \u201cFCknn: a granular knn classifier based on formal concepts\u201d, <em>Proceedings of the World Congress on Computational Intelligence (WCCI) 2014, FUZZ-IEEE Program<\/em>, Beijing, China, 6-11 July 2014, pp. 61-68.<\/p><p>[\u03a3#78]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 J. Maiora, G.A. Papakostas, V.G. Kaburlasos, M. Gra\u03c1a, \u201cA proposal of texture features for interactive CTA segmentation by active learning\u201d, <em>KES International Conference on Innovation in Medicine and Healthcare (InMed-14)<\/em>, San Sebastian, Spain, 9-11 July 2014, pp. 311-320.<\/p><p>[\u03a3#79]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 G.A. Papakostas, E.I. Papageorgiou, V.G. Kaburlasos, \u201cLinguistic fuzzy cognitive map (LFCM) for pattern recognition\u201d, <em>Proceedings of the <\/em><em>IEEE International Conference on Fuzzy Systems<\/em> (<em>FUZZ-IEEE<\/em> 2015), Istanbul, Turkey, 2-5 August 2015.<\/p><p>[\u03a3#80]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 D. Vassis, B. A. Kampouraki, P. Belsis, V. Zafeiris, N. Vassilas, E. Galiotou, N. N. Karanikolas, K. Fragos, V.G. Kaburlasos, S.E. Papadakis, V. Tsoukalas, C. Skourlas, \u201cUsing neural networks and SVMs for automatic medical diagnosis: a comprehensive review\u201d, <em>International Conference on Integrated Information<\/em> (<em>IC-ININFO 2014<\/em>), AIP Conf. Proc. 1644, 32-36 (2015); doi: 10.1063\/1.4907814<\/p><p>[\u03a3#81]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, T. Pachidis, G.A. Papakostas, M. Dimitrova, S. Kostova, I. Chavdarov, \u201cTransformations from a symbol language to a sign language by a humanoid robot for blended learning: preliminary application results\u201d, <em>Proceedings of the <\/em><em>International Association for Blended Learning Conference<\/em> (<em>IABL<\/em> 2016), Kavala, Greece, 22-24 April 2016, pp. 142-145.<\/p><p>[\u03a3#82]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 M. Dimitrova, A. Lekova, I. Chavdarov, S. Kostova, A. Krastev, C. Roumenin, V. Stancheva, A. Andreeva, V.G. Kaburlasos, T. Pachidis, \u201cA multidisciplinary framework for blending robotics in education of children with special learning needs\u201d, <em>Proceedings of the <\/em><em>International Association for Blended Learning Conference<\/em> (<em>IABL<\/em> 2016), Kavala, Greece, 22-24 April 2016, pp. 152-155.<\/p><p>[\u03a3#83]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, \u201cInteractive social robots in special education\u201d, <em>Proceedings of the 2017 IEEE 7th <\/em><em>International Conference on Consumer Electronics<\/em> \u2013 Berlin (<em>ICCE-Berlin<\/em>), Berlin, Germany, 3-6 September 2017, pp. 210-213.<\/p><p>[\u03a3#84]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, Ch. Dardani, M. Dimitrova, A. Amanatiadis, \u201cMulti-robot engagement in special education: a preliminary study in autism\u201d, <em>Proceedings of the 36th IEEE <\/em><em>International Conference on Consumer Electronics<\/em> (<em>ICCE<\/em>), Las Vegas, USA, 12-15 January 2018, pp. 995-996.<\/p><p>[\u03a3#85]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. Kaburlasos, C. Bazinas, G. Siavalas, G. Papakostas, \u201cLinguistic social robot control by crowd-computing feedback\u201d, No. 18-2, <em>Proceedings of the 2018 JSME Conference on Robotics and Mechatronics <\/em>(<em>ROBOMECH 2018<\/em>), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B13.<\/p><p>[\u03a3#86]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C. Lytridis, E. Vrochidou, V. Kaburlasos, \u201cEmotional speech recognition toward modulating the behavior of a social robot\u201d, No. 18-2, <em>Proceedings of the 2018 JSME Conference on Robotics and Mechatronics <\/em>(<em>ROBOMECH 2018<\/em>), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B14.<\/p><p>[\u03a3#87]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 M. Gra\u03c1a, M. Dimitrova, V. Kaburlasos, \u201cCybSPEED project description: aims and means\u201d, No. 18-2, <em>Proceedings of the 2018 JSME Conference on Robotics and Mechatronics <\/em>(<em>ROBOMECH 2018<\/em>), Kitakyushu, Japan, 2-5 June 2018, poster 1P1-A13.<\/p><p>[\u03a3#88]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 G. Papakostas, G. Sidiropoulos, M. Bella, V. Kaburlasos, \u201cSocial robots in special education: current status and future challenges\u201d, No. 18-2, <em>Proceedings of the 2018 JSME Conference on Robotics and Mechatronics <\/em>(<em>ROBOMECH 2018<\/em>), Kitakyushu, Japan, 2-5 June 2018, poster 1P1-A15.<\/p><p>[\u03a3#89]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C. Lytridis, E. Vrochidou, S. Chatzistamatis, V. Kaburlasos, \u201cSocial engagement interaction games between children with autism and humanoid robot NAO\u201d, <em>Proceedings of the 9th International Conference on EUropean Transnational Educational<\/em> (<em>ICEUTE\u201918<\/em>), San Sebastian, Spain, 6-8 June 2018. In: Gra\u03c1a M. et al. (eds) International Joint Conference SOCO\u201918-CISIS\u201918-ICEUTE\u201918. SOCO\u201918-CISIS\u201918-ICEUTE\u201918 2018. <em>Advances in Intelligent Systems and Computing (AISC)<\/em>, vol 771, pp. 562-570, 2019. Springer, Cham.<\/p><p>[\u03a3#90]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 T. Pachidis, E. Vrochidou, V.G. Kaburlasos, S. Kostova, M. Bonkovi\u0107, V. Papi\u0107, \u201cSocial robotics in education: state-of-the-art and directions\u201d, <em>Proceedings of the 27th International Conference on Robotics in Alpe-Adria-Danube Region<\/em> (<em>RAAD 2018<\/em>), Patras, Greece, 6-8 June 2018.<\/p><p>[\u03a3#91]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 G.A. Papakostas, V.G. Kaburlasos, \u201cModeling in cyber-physical systems by lattice computing techniques: the case of image watermarking based on intervals\u2019 numbers\u201d, <em>Proceedings of the World Congress on Computational Intelligence (WCCI) 2018, FUZZ-IEEE Program<\/em>, Rio de Janeiro, Brazil, 8-13 July 2018, pp. 491-496.<\/p><p>[\u03a3#92]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 E. Vrochidou, M. Manios, V. G. Kaburlasos, F. Panagiotopoulos, C. Aitsidis, V. Ferelis, \u201cDesign of social robots using open-source robotic platforms\u201d, <em>Proceedings of the <\/em><em>International Conference on Robotics &amp; Mechatronics and Social Implementations<\/em>, Varna, Bulgaria, 28 August &#8211; 01 September 2018, pp. 21-26.<\/p><ol start=\"2018\"><li>Vrochidou, M. Manios, V. G. Kaburlasos, F. Panagiotopoulos, Ch. Aitsidis, V. Ferelis, \u201cDesign of social robots using open-source robotic platforms\u201d, <em>Complex Control Systems<\/em> (an Open Access journal, <a href=\"http:\/\/ir.bas.bg\/ccs\/index.html\">http:\/\/ir.bas.bg\/ccs\/index.html<\/a> ), vol. 1, pp. 21-26, 2018.<\/li><\/ol><p>[\u03a3#93]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 M. Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, \u201cTowards social cognitive neuropsychology account of human-robot interaction\u201d, <em>Proceedings of the <\/em><em>International Conference on Robotics, Mechatronics and Social Implementation<\/em>, Varna, Bulgaria, 28 August &#8211; 01 September 2018, pp. 12-16.<\/p><ol start=\"2018\"><li>Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, \u201cTowards social cognitive neuropsychology account of human-robot interaction\u201d, <em>Complex Control Systems<\/em> (an Open Access journal, <a href=\"http:\/\/ir.bas.bg\/ccs\/index.html\">http:\/\/ir.bas.bg\/ccs\/index.html<\/a> ), vol. 1, pp. 12-16, 2018.<\/li><\/ol><p>[\u03a3#94]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 S. Kostova, M. I. Dimitrova, S. Saeva, M. Zamfirov, V. Kaburlasos, E. Vrochidou, M. Bonkovi\u0107, T. Pachidis, S. Kru\u017ei\u0107, T. Marasovi\u0107, J. Musi\u0107, V. Papi\u0107, \u201cIdentifying needs of robotic and technological solutions for the classroom\u201d, <em>Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), Symposium on: Robotic and ICT assisted wellbeing<\/em>, Split, Croatia, 13-15 September 2018.<\/p><p>[\u03a3#95]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Amanatiadis, V. Kaburlasos, E. Kosmatopoulos, \u201cUnderstanding deep convolutional networks through gestalt theory\u201d, <em>Proceedings of the 2018 IEEE International Workshop on Imaging Systems &amp; Techniques (IST 2018)<\/em>, Krak\u03c3w, Poland, 16-18 October 2018, pp. 312-317.<\/p><p>[\u03a3#96]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Amanatiadis, V. Kaburlasos, E. Kosmatopoulos, \u201cInterpolation kernels in fully convolutional networks and their effect in robot vision tasks\u201d, <em>Proceedings of the 2018 IEEE International Workshop on Imaging Systems &amp; Techniques (IST 2018)<\/em>, Krak\u03c3w, Poland, 16-18 October 2018, pp. 232-236.<\/p><p>[\u03a3#97]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C. Lytridis, C. Bazinas, G. A. Papakostas, V. Kaburlasos, \u201cOn measuring engagement level during child-robot interaction in education\u201d, <em>Proceedings of the 10th International Conference on Robotics in Education (RiE)<\/em>, Vienna, Austria, 10-12 April 2019. In: Robotics in Education \u2013 Current Research and Innovations, M. Merdan, W. Lepuschitz, G. Koppensteiner, R. Balogh, D. Obdr\u009e\u03b1lek (Eds.), pp. 3-13, 2019. Heidelberg, Germany: Springer Nature Switzerland AG 2020, series: Advances in Intelligent Systems and Computing (AISC), vol. 1023, ISBN: 978-3-030-26945-6.<\/p><p>[\u03a3#98]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 V. G. Kaburlasos, E. Vrochidou, F. Panagiotopoulos, Ch. Aitsidis, A. Jaki, \u201cTime series classification in cyber-physical system applications by intervals\u2019 numbers techniques\u201d, <em>Proceedings of the IEEE International Conference on Fuzzy Systems<\/em> (<em>FUZZ-IEEE<\/em> 2019), New Orleans, Louisiana, USA, 23-26 June 2019.<\/p><p>[\u03a3#99]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 C. Lytridis, E. Vrochidou, G. Sidiropoulos, G. A. Papakostas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, \u201cAudio signal recognition based on Intervals\u2019 Numbers (INs) classi\ufb01cation techniques\u201d, <em>Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019)<\/em>, Patras, Greece, 15-17 July 2019.<\/p><p>[\u03a3#100]\u00a0\u00a0\u00a0 C. Lytridis, V. Vassileva-Aleksandrova, M. Youssfi, C. Bazinas, V. Ferelis, A. Jaki, M. Mestari, V. G. Kaburlasos, \u201cSocial robots as cyber-physical actors in entertainment and education\u201d, <em>Proceedings of the 27th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2019), Symposium on: Robotic and ICT Assisted Wellbeing<\/em>, Split, Croatia, 19-21 September 2019.<\/p><p>[\u03a3#101]\u00a0\u00a0\u00a0 A. Jaafar, Y. Illoussamen, E. Vrochidou, T. Pachidis. V. G. Kaburlasos, M. Mestari, \u201cMulti-agent parallel implementation to solve nonlinear equality constrained multiobjective optimization problem \u2013 Case of unmanned aerial vehicle (UAV)\u201d, <em>Proceedings of the 3rd International Conference on Intelligent Computing in Data Sciences (ICDS 2019)<\/em>, Marrakech, Morocco, 28-30 October 2019.<\/p><p>[\u03a3#102]\u00a0\u00a0\u00a0 V. Holeva, V.-A. Nikopoulou, M. Papadopoulou, E. Vrochidou, G. A. Papakostas, V. G. Kaburlasos, \u201cToward robot-assisted psychosocial intervention for children with autism spectrum disorder (ASD)\u201d, <em>11th International Conference on Social Robotics (ICSR 2019)<\/em>, Madrid, Spain, 26-29 November 2019. In: M. A. Salichs, S. S. Ge, E. Barakova, J-.J. Cabibihan, A. R. Wagner, \u0391. Castro-Gonz\u03b1lez, H. He (Eds.): ICSR 2019. Heidelberg, Germany: Springer Nature Switzerland AG 2019, series: Lecture Notes in Artificial Intelligence (LNAI), vol. 11876, pp. 484-493, 2019. <a href=\"https:\/\/doi.org\/10.1007\/978-3-030-35888-4\">https:\/\/doi.org\/10.1007\/978-3-030-35888-4<\/a><\/p><p>[\u03a3#103]\u00a0\u00a0\u00a0 \u039c. \u03a0\u03b1\u03c0\u03b1\u03b4\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5, \u0392. \u03a7\u03bf\u03bb\u03ad\u03b2\u03b1, \u0392.\u0391. \u039d\u03b9\u03ba\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5, \u03a0. \u039a\u03b5\u03c7\u03b1\u03b3\u03b9\u03ac\u03c2, \u0393.\u0391. \u03a0\u03b1\u03c0\u03b1\u03ba\u03ce\u03c3\u03c4\u03b1\u03c2 \u03a7. \u039c\u03c0\u03b1\u03b6\u03af\u03bd\u03b1\u03c2, \u03a7.\u0399. \u03a0\u03b1\u03c0\u03b1\u03b4\u03bf\u03c0\u03bf\u03cd\u03bb\u03bf\u03c5, \u0392. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u0391. \u0395\u03c5\u03b1\u03b3\u03b3\u03b5\u03bb\u03af\u03bf\u03c5, \u201c\u03a0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u2018\u039a\u03bf\u03b9\u03a1\u03bf3\u0395\u2019: \u039a\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ba\u03ac \u03a1\u03bf\u03bc\u03c0\u03cc\u03c4 \u03c9\u03c2 \u0395\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u0395\u03b9\u03b4\u03b9\u03ba\u03ae \u0395\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u201d, <em>\u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03ae\u03bd\u03b9\u03bf \u03a0\u03b1\u03b9\u03b4\u03bf\u03bd\u03b5\u03c5\u03c1\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03cc \u03a3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf<\/em>, \u039b\u03af\u03bc\u03bd\u03b7 \u03a0\u03bb\u03b1\u03c3\u03c4\u03ae\u03c1\u03b1, \u039a\u03b1\u03c1\u03b4\u03af\u03c4\u03c3\u03b1, 7-8 \u039c\u03b1\u03c1\u03c4\u03af\u03bf\u03c5 2020. \u0392\u03b9\u03b2\u03bb\u03af\u03bf \u03a0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03c9\u03bd, \u03c3\u03b5\u03bb. 14.<\/p><p>[\u03a3#104]\u00a0\u00a0\u00a0 V.G. Kaburlasos, V. Holeva, M. Papadopoulou, C. Dardani, P. Kechayas, C. Lytridis, C. Bazinas, V. A. Nikopoulou, \u201cA feasibility study to evaluate the application of a robot-assisted ASD intervention in Greece\u201d, <em>Proceedings of the International Society for Autism Research (INSAR) 2020 Annual Meeting, <\/em>May 6-9 (scheduled), Seattle, Washington, USA, poster 448.001 uploaded June 3, 2020.<\/p><p>[\u03a3#105]\u00a0\u00a0\u00a0 C. Dardani, V.G. Kaburlasos, A. Amanatiadis, \u201cEnhancing the applications of interactive social robots in educational interventions for autism spectrum disorders: a research initiative in Greece\u201d, <em>Proceedings of the International Society for Autism Research (INSAR) 2020 Annual Meeting, <\/em>May 6-9 (scheduled), Seattle, Washington, USA, poster 448.012 uploaded June 3, 2020.<\/p><p>[\u03a3#106]\u00a0\u00a0\u00a0 T. Kalampokas, K. Tziridis, A. Nikolaou, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. \u201cSemantic segmentation of vineyard images using convolutional neural networks\u201d, <em>21st International Conference on Engineering Applications of Neural Networks (EANN 2020)<\/em>, Porto Carras Grand Resort, Halkidiki, Greece, 5-7 June, 2020. In: L. Iliadis, P. P. Angelov, C. Jayne, E. Pimenidis (Eds.): EANN 2020. Heidelberg, Germany: Springer Nature Switzerland AG 2020, series: Proceedings of the International Neural Networks Society (INNS), series editors: P. Angelov, R. Kozma, vol. 2, pp. 292-303, 2020. https:\/\/doi.org\/10.1007\/978-3-030-48791-1_22<\/p><p>[\u03a3#107]\u00a0\u00a0\u00a0 M. Youssfi, O. Bouattane, V. Kaburlasos, G. Papakostas, \u201cGeneric distributed polymorphic learning model for a community of heterogeneous cyber physical social robots in MAS environment and GPU architecture\u201d, <em>4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020)<\/em>, Fez, Morocco, 9-11 June 2020.<\/p><p>[\u03a3#108]\u00a0\u00a0\u00a0 F. Ezzahra Ezzrhari, H. Bensag, M. Youssfi, O. Bouattane, V. Kaburlasos, \u201cScalable multi agent system middleware for HPC of big data applications\u201d, <em>4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020)<\/em>, Fez, Morocco, 9-11 June 2020.<\/p><p>[\u03a3#109]\u00a0\u00a0\u00a0 V.G. Kaburlasos, invited speaker, \u201cThe Lattice Computing (LC) paradigm\u201d. In: Francisco J. Valverde-Albacete, Martin Trnecka (Eds.), <em>Proceedings of the 15th International Conference on Concept Lattices and their Applications (CLA 2020)<\/em>, Tallinn, Estonia, 29 June &#8211; 1 July 2020, pp. 1-8. <a href=\"http:\/\/ceur-ws.org\/Vol-2668\/\">http:\/\/ceur-ws.org\/Vol-2668\/<\/a> (Open Access)<\/p><p>[\u03a3#110]\u00a0\u00a0\u00a0 V. G. Kaburlasos, E. Vrochidou, C. Lytridis, G. A. Papakostas, T. Pachidis, M. Manios, S. Mamalis, T. Merou, S. Koundouras, S. Theocharis, G. Siavalas, C. Sgouros, P. Kyriakidis, \u201cToward big data manipulation for grape harvest time prediction by intervals&#8217; numbers techniques\u201d, <em>World Congress on Computational Intelligence (WCCI) 2020, <\/em><em>International<\/em> <em>Joint<\/em> <em>Conference<\/em> <em>on<\/em> <em>Neural<\/em> <em>Networks<\/em><em> (<\/em><em>IJCNN 2020)<\/em> <em>Program<\/em>, Glasgow, Scotland, UK, 19-24 July 2020.<\/p><p>[\u03a3#111]\u00a0\u00a0\u00a0 E. Badeka, E. Vrochidou, K. Tziridis, A. Nicolaou, G. A. Papakostas, T. Pachidis. V.G. Kaburlasos, \u201cNavigation route mapping for harvesting robots in vineyards using UAV-based remote sensing\u201d, <em>Proceedings of the 10<sup>th<\/sup> IEEE International Conference on Intelligent Systems (IS\u201820)<\/em>, Varna, Bulgaria, 28-30 August 2020, pp. 171-177.<\/p><p>[\u03a3#112]\u00a0\u00a0\u00a0 T. Pachidis, C. Sgouros, V. G. Kaburlasos, E. Vrochidou, T. Kalampokas, K. Tziridis, A. Nikolaou, G. A. Papakostas, \u201cForward kinematic analysis of JACO2 robotic arm towards implementing a grapes harvesting robot\u201d, <em>28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)<\/em>, Hvar, Croatia, 17-19 September 2020.<\/p><p>[\u03a3#113]\u00a0\u00a0\u00a0 C. Lytridis, C. I. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, V.-A. Nikopoulou, M. D. Kerasidou, N. Dalivigkas, \u201cRobot-assisted Autism Spectrum Disorder (ASD) interventions: a multi-robot approach\u201d, <em>28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)<\/em>, Hvar, Croatia, 17-19 September 2020.<\/p><p>[\u03a3#114]\u00a0\u00a0\u00a0 V. G. Kaburlasos, C. Lytridis, C. Bazinas, S. Chatzistamatis, K. Sotiropoulou, A. Najoua, M. Youssfi, O. Bouattane, \u201cHead pose estimation using lattice computing techniques\u201d, <em>28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)<\/em>, Hvar, Croatia, 17-19 September 2020.<\/p><p>[\u03a3#115]\u00a0\u00a0\u00a0 E. Vrochidou, T. Pachidis, M. Manios, G. A. Papakostas, V. G. Kaburlasos, S. Theocharis, S. Koundouras, K. Karabatea, E. Bouloumpasi, S. Pavlidis, S. Mamalis, T. Merou, \u201cIdentifying the technological needs for developing a grapes harvesting robot: operations and systems\u201d, <em>9th International Conference on Information and Communication Technologies in Agriculture, Food &amp; Environment (HAICTA 2020)<\/em>. Thessaloniki, Greece, 24-27 September 2020, pp. 105-113. <a href=\"http:\/\/ceur-ws.org\/Vol-2761\/\">http:\/\/ceur-ws.org\/Vol-2761\/<\/a> (Open Access)<\/p><p>[\u03a3#116]\u00a0\u00a0\u00a0 G. K. Sidiropoulos, C. Bazinas, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, P. Kechayas, E. Kourampa, S.-R. Katsi, H. Karatsioras, \u201cSynergy of intelligent algorithms for efficient child-robot interaction in special education: a feasibility study\u201d, <em>11th International Conference on Robotics in Education (RiE)<\/em>, Bratislava, Slovakia, 30 September &#8211; 2 October 2020.<\/p><p>[\u03a3#117]\u00a0\u00a0\u00a0 R. Efstratiou, H. Karatsioras, M. Papadopoulou, C. Papadopoulou, C. Lytridis, C. Bazinas, G. A. Papakostas, V. G. Kaburlasos, \u201cTeaching daily life skills in Autism Spectrum Disorder (ASD) interventions using the social robot Pepper\u201d, <em>11th International Conference on Robotics in Education (RiE)<\/em>, Bratislava, Slovakia, 30 September &#8211; 2 October 2020.<\/p><p>[\u03a3#118]\u00a0\u00a0\u00a0 E. Bouloumpasi, S. Theocharis, A. Karampatea, S. Pavlidis, S. Mamalis, S. Koundouras, T. Merou, E. Vrochidou, T. Pachidis, M. Manios, G. Papakostas, V. Kaburlasos, \u201cExploration of viticultural tasks to be performed by autonomous robot: possibilities and limitations\u201d, <em>Proceedings of the<\/em> <em>11th International Scientific Agriculture Symposium (AGROSYM 2020)<\/em>, Jahorina, Bosnia and Herzegovina, 8-11 October 2020, pp.56-61.<\/p><p>[\u03a3#119]\u00a0\u00a0\u00a0 E. Badeka, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, \u201cHarvest crate detection for grapes harvesting robot based on YOLOv3 model\u201d, <em>The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020)<\/em>, Fez, Morocco, 21-23 October 2020.<\/p><p>[\u03a3#120]\u00a0\u00a0\u00a0 V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. A. Papakostas, A. Naji, M. Hicham Zaggaf, K. Mansouri, M. Qbadou, M. Mestari, \u201cStructured human-head pose representation for estimation using fuzzy lattice reasoning (FLR)\u201d, <em>The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020)<\/em>, Fez, Morocco, 21-23 October 2020.<\/p><p>[\u03a3#121]\u00a0\u00a0\u00a0 A. Fentis, C. Lytridis, V. G. Kaburlasos, E. Vrochidou, T. Pachidis, E. Bahatti, M. Mestari, \u201cA machine learning based approach for next-day photovoltaic power forecasting\u201d, <em>The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020)<\/em>, Fez, Morocco, 21-23 October 2020.<\/p><p>[\u03a3#122]\u00a0\u00a0\u00a0 G. K. Sidiropoulos, G. A. Papakostas, C. Lytridis, C. Bazinas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, \u201cMeasuring engagement level in child-robot interaction using machine learning based data analysis\u201d, <em>IEEE International Conference on Data Analytics for Business and Industry<\/em> (ICDABI 2020), 26-27 October 2020, Bahrain.<\/p><p>[\u03a3#123]\u00a0\u00a0\u00a0 E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, \u201cReal-time vineyard trunk detection for a grapes harvesting robot via deep learning\u201d, <em>13th International Conference on Machine Vision (ICMV 2020)<\/em>, Rome, Italy, 2-6 November 2020.<\/p><p>[\u03a3#124]\u00a0\u00a0\u00a0 K. Tziridis, A. Nikolaou, T. Kalampokas, E. Vrochidou, T. Pachidis, G. A. Papakostas, V. G. Kaburlasos, \u201cInformation management and monitoring system for a grapes harvesting robot\u201d, <em>International Scientific Conference of Communications, Information, Electronic and Energy Systems (<\/em><em>CIEES 2020)<\/em>, Borovets, Bulgaria, 26-29 November 2020.<\/p><p>[\u03a3#125]\u00a0\u00a0\u00a0 A. Lekova, T. Tanev, S. Kostova, V. Kaburlasos, \u201cLightweight framework for interconnecting virtual and real things via Node-RED\u201d, <em>Industry 4.0 (I4) V International Scientific Conference &#8211; Winter Session (<\/em><em>I4 2020)<\/em>, Borovets, Bulgaria, 9-12 December 2020.<\/p><ol start=\"4\"><li>Lekova, T. Tanev, S. Kostova, V. Kaburlasos, \u201cLightweight framework for interconnecting virtual and real things via Node-RED\u201d, <em>International Scientific Journal \u201cIndustry 4.0\u201d<\/em> (an Open Access journal, <a href=\"https:\/\/stumejournals.com\/i4.htm\">https:\/\/stumejournals.com\/i4.htm<\/a> ), vol. 5, iss. 5, pp. 202-205, 2020.<\/li><\/ol><p>[\u03a3#126]\u00a0\u00a0\u00a0 E. Karageorgiou, E. Kourampa, A.-T. Papanikolaou, P. Kechayas, E. Avramidou, R.-A. Sabri, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, \u201cDevelopment of educational scenarios for child-robot interaction: The case of learning disabilities\u201d, <em>12th International Conference on Robotics in Education (RiE)<\/em>, Bratislava, Slovakia, 28 &#8211; 30 April 2021.<\/p><p>[\u03a3#127]\u00a0\u00a0\u00a0 V. Holeva, P. Kechayas, V.A. Nikopoulou, M.\u00a0 Kerasidou, M. Papadopoulou, A.C. Bazinas, C. Lytridis, V.G. Kaburlasos, A. Evangeliou, \u201cThe effects of a robot-assisted intervention for children with autism spectrum disorder on affect recognition and theory of mind\u201d, <em>Proceedings of the International Society for Autism Research (INSAR) 2021 Annual Meeting, May 5-8, Boston, MA, USA<\/em>, poster ID \u2013 37057.<\/p><p>[\u03a3#128]\u00a0\u00a0\u00a0 E. Vrochidou, C. Bazinas, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, \u201cA review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation\u201d, <em>13th EFITA (European Federation for Information Technology in Agriculture, Food and Environment) International Conference<\/em>, 25-26 May 2021. In: <em>MDPI Engineering Proceedings <\/em><strong>2021<\/strong>, 9 (1), 2; <a href=\"https:\/\/www.mdpi.com\/2673-4591\/9\/1\/2\">https:\/\/www.mdpi.com\/2673-4591\/9\/1\/2<\/a> (Open Access)<\/p><p>[\u03a3#129]\u00a0\u00a0\u00a0 C. Bazinas, E. Vrochidou, C. Lytridis, V. G. Kaburlasos, \u201cTime-series of distributions forecasting in agricultural applications: an intervals\u2019 numbers approach\u201d, <em>7th International Conference on Time Series and Forecasting<\/em> (<em>ITISE 2021<\/em>), Gran Canaria, Spain, 19-21 July 2021. In: <em>MDPI Engineering Proceedings <\/em><strong>2021<\/strong>, 5 (1), 12; <a href=\"https:\/\/www.mdpi.com\/2673-4591\/5\/1\/12\">https:\/\/www.mdpi.com\/2673-4591\/5\/1\/12<\/a> (Open Access)<\/p><p>[\u03a3#130]\u00a0\u00a0\u00a0 V. Holeva, V. A. Nikopoulou, P. Kechayas, M. D. Kerasidou, M. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, \u201cRobot-assisted relaxation training for children with autism spectrum disorders\u201d, <em>Proceedings of the International Conference on Psychology and Behavioral Sciences<\/em> (ICPBS002 2021), Singapore, 9-10 September 2021.<\/p><p>[\u03a3#131]\u00a0\u00a0\u00a0 L. C. Karathanasi, C. Bazinas, G. Iordanou, V. G. Kaburlasos, \u201cA study on text classification for applications in special education\u201d, <em>29th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2021)<\/em>, Hvar, Croatia, 23-25 September 2021.<\/p><p>[\u03a3#132]\u00a0\u00a0\u00a0 C. Lytridis, V. G. Kaburlasos, C. Bazinas, G. A. Papakostas, C. I. Papadopoulou, V. A. Nikopoulou, \u201cA software toolbox for behavioral analysis in robot-assisted special education\u201d, <em>29th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2021)<\/em>, Hvar, Croatia, 23-25 September 2021.<\/p><p>[\u03a3#133]\u00a0\u00a0\u00a0 C. Bazinas, E. Vrochidou, C. Lytridis, V.G. Kaburlasos, \u201cYield estimation in vineyards using intervals\u2019 numbers techniques\u201d, <em>25th Panhellenic Conference on Informatics (PCI 2021)<\/em>, Volos, Greece, 26-28 November 2021, pp. 454-459. <a href=\"https:\/\/doi.org\/10.1145\/3503823.3503906\">https:\/\/doi.org\/10.1145\/3503823.3503906<\/a> (ACM Digital Library)<\/p><p>[\u03a3#134]\u00a0\u00a0\u00a0 M. Papadopoulou, V. Choleva, V. A. Nikopoulou, P. Kechayas, G. A. Papakostas, C. Bazinas, C. I. Papadopoulou, V. Kaburlasos, A. Evangeliou, \u201cPresentation of the project &#8216;SRTSE&#8217;: social robots as tools in special education\u201d, <em>48th Soci\u03b9t\u03b9 Europ\u03b9enne de Neurologie P\u03b9diatrique (SENP)<\/em>, Lausanne, Suisse, 17-19 March 2022.<\/p><p>[\u03a3#135]\u00a0\u00a0\u00a0 M.T. Papadopoulou, V.A. Nikopoulou, V. Holeva, P. Kechayas, G.A. Papakostas, N. Geronikola, C. Bazinas, C. Lytridis, V. Kaburlasos, A. Evangeliou, \u201cSocial robots as tools in special education (the \u2018SRTSE\u2019 project): a randomized case-control study on robot-assisted therapy for children with Autism Spectrum Disorder (ASD)\u201d, <em>14th European Paediatric Neurology Society (EPNS) Congress<\/em>, Glasgow, Scotland, UK, 28 April \u2013 2 May 2022, poster PO14-216.<\/p><p>[\u03a3#136]\u00a0\u00a0\u00a0 V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, \u201cChapter 25. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems\u201d, <em>Proceedings of the Basque Conference on Cyber-Physical Systems and Artificial Intelligence<\/em>, San Sebastian, Spain, 18-19 May 2022, pp. 213-229. DOI 10.5281\/zenodo.6562355.<\/p><p>[\u03a3#137]\u00a0\u00a0\u00a0 V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, \u201cAgricultural yield prediction by difference equations on data-induced cumulative possibility distributions\u201d, In: S. Dick, V. Kreinovich, P. Lingras, (eds) Applications of Fuzzy Techniques \u2013 Proceedings of the <em>2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022)<\/em>, Halifax, Nova Scotia, Canada, 31 May &#8211; 3 June 2022. Lecture Notes in Networks and Systems (LNNS), vol. 500, pp. 90-100. Springer, Cham. <a href=\"https:\/\/doi.org\/10.1007\/978-3-031-16038-7_10\">https:\/\/doi.org\/10.1007\/978-3-031-16038-7_10<\/a><\/p><p>[\u03a3#138]\u00a0\u00a0\u00a0 P. Delias, L. Moussiades, V. G. Kaburlasos, \u201cPotentials for decision support in business processes through a multi-layer network embeddings approach\u201d, <em>32nd EURO Conference<\/em>, Espoo, Finland, 3-6 July 2022, p. 191.<\/p><p>[\u03a3#139]\u00a0\u00a0\u00a0 V. G. Kaburlasos, \u201cRobot intelligence technology for skillful viniculture based on the lattice computing paradigm\u201d, International Meet &amp; Expo on Robot Intelligence Technology and Applications (ROBOTMEET2022), Edinburgh, Scotland, 18-20 August 2022.<\/p><p>[\u03a3#140]\u00a0\u00a0\u00a0 V. G. Kaburlasos, C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, \u201cFuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest\u201d, In: Qinglin Sun, Jie Lu, Xianyi Zeng, Etienne E. Kerre, Tianrui Li (Eds.), <em>Proceedings of the<\/em> <em>15<sup>th<\/sup> International FLINS (Fuzzy Logic and Intelligent Technologies in Nuclear Science) Conference (FLINS 2022) on Machine Learning, Multi Agent and Cyber Physical Systems<\/em>, Tianjin, China, 26-28 August 2022. World Scientific Proceedings Series on Computer Engineering and Information Science 13, pp. 80-87. (Best Paper Award). <a href=\"https:\/\/www.worldscientific.com\/worldscibooks\/10.1142\/13231#t=toc\">https:\/\/www.worldscientific.com\/worldscibooks\/10.1142\/13231#t=toc<\/a><\/p><p>[\u03a3#141]\u00a0\u00a0\u00a0 C. Chariskou, C. Bazinas, A. J. Daniels, U. L. Opara, H. H. Nieuwoudt, V. G. Kaburlasos, \u201cVariable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection\u201d, <em>30th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2022)<\/em>, Split, Croatia, 22-24 September 2022.<\/p><p>[\u03a3#142]\u00a0\u00a0\u00a0 E. Vrochidou, C. Bazinas, E. Mavridou, T. Pachidis, S. Mamalis, S. Koundouras, T. Gkrimpizis, V. G. Kaburlasos, \u201cConsiderations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards\u201d, <em>10th International Conference on Information and Communication Technologies in Agriculture, Food &amp; Environment (HAICTA 2022)<\/em>, Athens, Greece, 22-25 September 2022, pp. 45-51. <a href=\"https:\/\/ceur-ws.org\/Vol-3293\/\">https:\/\/ceur-ws.org\/Vol-3293\/<\/a> (Open Access). Proceedings ebook: <a href=\"https:\/\/www.haicta.gr\/ebooks.html\">https:\/\/www.haicta.gr\/ebooks.html<\/a><\/p><p>[\u03a3#143]\u00a0\u00a0\u00a0 M. Tsolaki, V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. Siavalas, \u201cSocial robots for pedagogical rehabilitation in special education for the elderly\u201d, <em>2nd Edition of Robot Intelligence Technology and Applications 2022 (V-RITA2022)<\/em>, Theme \u201cModification of Lifestyle by Innovation in Robot Intelligence Technology and Applications\u201d, 21-22 October 2022.<\/p><p>[\u03a3#144]\u00a0\u00a0\u00a0 A. Karampatea, E. Bouloumpasi, E. Karapatzak, S. Theocharis, T. Gkrimpizis, C. Karadimou, E. Tziolas, S. Pavlidis, S. Koundouras, S. Mamalis, C. Lytridis, T. Pachidis, V. G. Kaburlasos, \u201cTechnology-based regional wine development: A multi-purpose agrobot design for grape harvest automation\u201d, <em>European Association of Wine Economists (EuAWE) 2023 Conference<\/em>. Chania, Crete, Greece, 28-31 May 2023.<\/p><p>[\u03a3#145]\u00a0\u00a0\u00a0 E. Bouloumpasi, A. Karampatea, E. Karapatzak, S. Theocharis, E. Tziolas, C. Lytridis, T. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, \u201cAn autonomous multi-agrobot design for skillful vinicultural tasks\u201d, <em>44th World Congress of Vine and Wine<\/em> (Theme: Vitiviniculture and Information Technologies) and the <em>21th General Assembly of the International Organisation of Vine and Wine<\/em> (<em>OIV<\/em>). Cadiz, Spain, 5-9 Jun 2023.<\/p><p>[\u03a3#146]\u00a0\u00a0\u00a0 V. G. Kaburlasos, C. Lytridis, G. Siavalas, V. N. Tsakalidou, C. Tsakmakis, I. Kalathas, T. Pachidis, K. Rantos, K. Kalaboukas, \u201cSkilled agricultural task delivery by a digital twin\u201d, <em>Proceedings of the <\/em><em>2023 IEEE Conference on Artificial Intelligence<\/em><em> (<\/em><em>IEEE CAI 2023)<\/em>. Santa Clara (Silicon Valley), California, USA, 5-6 June 2023, pp. 364-365. [one of the 10 papers selected for oral presentation out of 170 accepted submissions; another 46 oral presentations were invited from industry leaders]<\/p><p>[\u03a3#147]\u00a0\u00a0\u00a0 C. Bazinas, C. Lytridis, V. G. Kaburlasos, \u201cMeta-statistical deep learning for stochastic time-series prediction in agricultural applications\u201d, <em>International<\/em> <em>Joint<\/em> <em>Conference<\/em> <em>on<\/em> <em>Neural<\/em> <em>Networks<\/em><em> (<\/em><em>IJCNN 2023)<\/em>. Gold Coast, Queensland, Australia, 18-23 June 2023. 2023 International Neural Network Society (INNS) Workshop on Deep Learning Innovations and Applications (DLIA), Procedia Computer Science 222 (2023) 293-302\u00a0 <a href=\"http:\/\/www.sciencedirect.com\/\">www.sciencedirect.com<\/a><\/p><p>[\u03a3#148]\u00a0\u00a0\u00a0 V. G. Kaburlasos, \u201cComputing with Semantics\u201d, Artificial Intelligence Summit 2025 and Artificial Intelligence Conference 2025. Athens, Greece, 18-19 January 2025. <a href=\"https:\/\/tinyurl.com\/athens-gr\">https:\/\/tinyurl.com\/athens-gr<\/a><\/p><p>[\u03a3#149]\u00a0\u00a0\u00a0 G. Siavalas, V. Kaburlasos, \u201cSupport of elderly people with cognitive impairment by companion robots\u201d, <em>Proceedings of the <\/em><em>6th Mediterranean Conference on Neurodegenerative Diseases<\/em>, p. 59. Thessaloniki, Greece, 13-16 February 2025. <a href=\"https:\/\/www.alzheimer-conference.gr\/index.php\/en\/\">https:\/\/www.alzheimer-conference.gr\/index.php\/en\/<\/a> (\u0397 \u03c0\u03b5\u03c1\u03af\u03bb\u03b7\u03c8\u03b7 \u03b1\u03bd\u03b1\u03bc\u03ad\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03bf\u03c3\u03b9\u03b5\u03c5\u03c4\u03b5\u03af \u03c3\u03c4\u03bf \u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc NeuroSci \u03bc\u03b5 Impact Factor: 1.6)<\/p><p><u>\u00a0<\/u><\/p><p><u>\u00a0<\/u><\/p><p><strong><u><strong><u>Technical Reports (TR)<\/strong><\/u><\/u><\/strong><\/p><p>[\u03a4\u0395#1]\u00a0\u00a0\u00a0\u00a0\u00a0 \u0392.\u0393. \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2, \u201c\u03a3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03c1\u03b9\u03ce\u03bd \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03c9\u03bd \u03b4\u03c1\u03bf\u03bc\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c4\u03b7\u03bb\u03b5\u03c6\u03c9\u03bd\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03c9\u03c2 \u03bc\u03b5 \u03b1\u03c0\u03ce\u03bb\u03b5\u03b9\u03b5\u03c2\u201d, <em>\u0395\u03b8\u03bd\u03b9\u03ba\u03cc \u039c\u03b5\u03c4\u03c3\u03cc\u03b2\u03b9\u03bf \u03a0\u03bf\u03bb\u03c5\u03c4\u03b5\u03c7\u03bd\u03b5\u03af\u03bf<\/em>, \u0386\u03bd\u03bf\u03b9\u03be\u03b7 1987.<\/p><p>[\u03a4\u0395#2]\u00a0\u00a0\u00a0\u00a0\u00a0 O. Kosheleva, V. G. Kaburlasos, V. Kreinovich, R. Tansuchat, \u201cWhy quantile regression works well in economics: a partial explanation\u201d, <em>University of Texas at El Paso, ScholarWorks@UTEP<\/em>, Departmental Technical Reports, Computer Science, 6-1-2022.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8452\" aria-expanded=\"false\">Spyridon Kazarlis<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8452\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8452\" tabindex=\"0\" hidden=\"hidden\"><p><strong><u>Books - Book Chapters<\/u><\/strong><\/p><ol><li>[Kaza07] Kazarlis \u201cCombinatorial Hill Climbing Using Micro-Genetic Algorithms\u201d, in Khaled Elleithy ed., Advances and Innovations in Systems, Computing Sciences and Software Engineering, Springer, 2007, ISBN 978-1-4020-6263-6, pp. 411-416.<\/li><li>[KaBa15] Kazarlis, A. Bakirtzis, \u201cCHAPTER 19 GENETIC ALGORITHMS\u201d, Mircea Eremia, Abdel-Aty Edris, and Chen-Ching Liu Eds. \u2013 Advanced Solutions in Power Systems: HVDC, FACTS and Artificial Intelligence, John Wiley &amp; Sons Inc, October 2016, ISBN: 9781119035695.<\/li><\/ol><p><strong><u>Journals<\/u><\/strong><\/p><ol><li>[BaPK94] Bakirtzis, V. Petridis, S. Kazarlis, \u201cA Genetic Algorithm Solution to the Economic Dispatch Problem,\u201d <em>IEE<\/em><em> Proceedings &#8211; Generation, Transmission, Distribution<\/em>, Vol. 141, No. 4, July 1994, pp. 377-382.<\/li><li>[KaBP96] A. Kazarlis, A.G. Bakirtzis, V. Petridis, \u201cA Genetic Algorithm Solution to the Unit Commitment Problem,\u201d <em>IEEE Transactions on Power Systems<\/em>, Vol. 11, No. 1, February 1996, pp. 83-92.<\/li><li>[Kaza96] Spyros A. Kazarlis \u201cApplication of Genetic Algorithms to the Economic Dispatch Problem in Electric Power Production,\u201d <em>EvoNews<\/em>, Vol. 1, Issue 2, Special Issue: Industrial Applications of Evolutionary Computing, Dept. of Print Services, Napier University, December 1996, pp.7-9.<\/li><li>[Kaza96b] Spyros A. Kazarlis \u201cApplication of Genetic Algorithms on the Unit Commitment Problem in Electric Power Production,\u201d <em>EvoNews<\/em>, Vol. 1, Issue 2, Special Issue: Industrial Applications of Evolutionary Computing, Dept. of Print Services, Napier University, December 1996, pp.14-16.<\/li><li>[PeKB97] Petridis, S. Kazarlis and A. Bakirtzis, \u201cVarying Fitness Functions in Genetic Algorithm Constrained Optimization: The Cutting Stock and Unit Commitment Problems,\u201d <em>IEEE Transactions on Systems, Man, and Cybernetics<\/em>, Vol. 28, Part B, No. 5, October 1998, pp. 629-640.<\/li><li>[KaPTP01] Kazarlis, S.Papadakis, J.Theocharis and V.Petridis, &#8220;Micro-Genetic Algorithms as Generalized Hill Climbing Operators for GA Optimization,&#8221; <em>IEEE Transactions on Evolutionary Computation<\/em>, Vol. 5, No. 3, June 2001, pp. 204-217.<\/li><li>[KSPPKMK02] Kaburlasos VG, Spais V, Petridis V, Petrou L, Kazarlis S, Maslaris N, and Kallinakis A, \u201cIntelligent Clustering Techniques for Prediction of Sugar Production\u201d, <em>IMACS Transactions on Mathematics and Computers in Simulation<\/em> (by Elsevier Science) &#8211; Special Issue on Intelligent Forecasting, Fault Diagnosis, and Control, vol. 60, 2002, pp. 159-168.<\/li><li>[PeKK02] Petridis, S. Kazarlis, V. Kaburlasos, \u201cACES, An Interactive Software Platform for Self-Instruction and Self-Evaluation in Automatic Control Systems,\u201d <em>IEEE Transactions on Education<\/em>, Vol. 46, No. 1, February 2003, pp. 102-110.<\/li><li>[KaKaKa] A. Kazarlis, J. Kalomiros, and V. Kalaitzis, \u201cA Cartesian Genetic Programming Approach for Evolving Optimal Digital Circuits\u201d, Journal of Engineering Science and Technology Review (JESTR), Vol. 9, Issue 5, 2016, pp.88-92.<\/li><li>[Kaza24] Spyridon A. Kazarlis, &#8220;Intelligent Car Park Assist Using Fish Swarm Algorithm,&#8221; Engineering World, vol. 6, pp. 188-194, 2024, DOI:10.37394\/232025.2024.6.20<\/li><\/ol><p><strong><u>Conferences<\/u><\/strong><\/p><p><u>\u00a0<\/u><\/p><ol><li>[LaDK88] P. Lambros, R. Dotcheva, S. Kazarlis, \u201cSimulation Methods for a Telecommunication Network\u201d, <em>Proceedings of the 5<sup>th<\/sup> International Conference on Telecommunications \u201cImprovements of Technological Processes in Telecommunications\u201d (TELECOM \u201988)<\/em>, Varna, Bulgaria, October 6-8, 1988.<\/li><li>[PeKPF92] Petridis, S.Kazarlis, A.Papaikonomou and A. Filelis, &#8220;A Hybrid Genetic Algorithm for Training Neural Networks,&#8221; <em>Proceedings of the 2<sup>nd<\/sup> International Conference on Artificial Neural Networks (ICANN &#8217;92)<\/em>, Sep. 1992, Brighton England, vol. 2, p.p. 953-956.<\/li><li>[PeKP93] Petridis, S.Kazarlis and A.Papaikonomou, &#8220;A Genetic Algorithm for Training Recurrent Neural Networks,&#8221; <em>Proceedings of the 1993 International Joint Conference on Neural Networks (IJCNN &#8217;93)<\/em>, Oct. 1993, Nagoya Japan, vol. 3, pp. 2706-2709.<\/li><li>[PeKa94] Petridis and S. Kazarlis, \u201cVarying Quality Function in Genetic Algorithms and the Cutting Problem,\u201d <em>Proceedings of the First IEEE Conference on Evolutionary Computation<\/em>, IEEE Service Center, 1994, Vol. 1, pp. 166-169.<\/li><li>[KaBP95a] A. Kazarlis, A.G. Bakirtzis, V. Petridis, \u201cA Genetic Algorithm Solution to the Unit Commitment Problem,\u201d presented in the 1994-95 IEEE\/PES Winter Meeting, 152-9 PWRS, New York, January 1995.<\/li><li>[KaBP95b] A. Kazarlis, A.G. Bakirtzis, V. Petridis, \u201cA Genetic Algorithm Solution to the Unit Commitment Problem,\u201d <em>Workshop on Contemporary Problems in Power Engineering<\/em>, Thessaloniki Greece, 11-12 April 1995, pp. 285-298.<\/li><li>[KaBP97] Kazarlis, A. Bakirtzis and V. Petridis, \u201c\u0392\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7 \u0388\u03bd\u03c4\u03b1\u03be\u03b7 \u039c\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03a0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2 \u03bc\u03b5 \u0393\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03c5\u03c2 (Optimal Unit Commitment Using Genetic Algorithms),\u201d <em>presented at the CIGRE Greek National Committee<\/em>, Athens, Greece, 4-5 Dec. 1997.<\/li><li>[AdKP98] Adamidis, S. Kazarlis, V. Petridis, \u201cAdvanced Methods for Evolutionary Optimisation,\u201d <em>8th IFAC\/IFORS\/IMACS\/IFIP Symposium Large Scale Systems Theory &amp; Applications &#8211; LSS\u201998 (Invited Session on Evolutionary Algorithms)<\/em>, Patras, Greece, July 15-18, 1998.<\/li><li>[KaPe98] Kazarlis and V. Petridis, \u201cVarying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms,\u201d <em>Proceedings of the 5<sup>th<\/sup> International Conference on Parallel Problem Solving from Nature (PPSN-V)<\/em>, Amsterdam, 27-30 September 1998, pp. 211-220.<\/li><li>[PeKK00] Petridis, V.Kaburlazos, S. Kazarlis, \u201c\u03a0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03a5\u03c0\u03b5\u03c1-\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf. \u039b\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc \u0395\u03be\u03ac\u03c3\u03ba\u03b7\u03c3\u03b7\u03c2 \u03c3\u03b5 \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03a0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd \u03a7\u03c1\u03cc\u03bd\u03bf\u03c5 (\u03a0\u03a5\u039b\u0395\u03a3),\u201d <em>\u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03ae\u03bd\u03b9\u03bf \u03a3\u03c5\u03bd\u03ad\u03b4\u03c1\u03b9\u03bf : \u0388\u03c1\u03b5\u03c5\u03bd\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ae \u0395\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7<\/em><em> \u03bc\u03b5 \u03c7\u03bf\u03c1\u03b7\u03b3\u03cc \u03c4\u03bf \u039a\u03ad\u03bd\u03c4\u03c1\u03bf \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03ae\u03c2 \u0388\u03c1\u03b5\u03c5\u03bd\u03b1\u03c2 (\u039a.\u0395.\u0395.) \u03c4\u03bf\u03c5 \u03a5\u03c0\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03bf\u03c5 \u0395\u03b8\u03bd\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b1\u03b9\u03b4\u03b5\u03af\u03b1\u03c2 &amp; \u0398\u03c1\u03b7\u03c3\u03ba\u03b5\u03c5\u03bc\u03ac\u03c4\u03c9\u03bd<\/em>, \u0391\u03b8\u03ae\u03bd\u03b1, 21-23 \u03a3\u03b5\u03c0\u03c4\u03b5\u03bc\u03b2\u03c1\u03af\u03bf\u03c5 2000, \u03a0\u03b5\u03c1\u03b9\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2 \u0395\u03b9\u03c3\u03b7\u03b3\u03ae\u03c3\u03b5\u03c9\u03bd: \u03c3\u03b5\u03bb. 200-206.<\/li><li>[PePKSK01] V. Petridis, L. Petrou, V.G. Kaburlasos, V. Spais, and S. Kazarlis, \u201cModels for Predicting Sugar Production in Greece,\u201d <em>\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac \u03a0\u03b1\u03bd\u03b5\u03bb\u03bb\u03b7\u03bd\u03af\u03bf\u03c5 \u03a3\u03c5\u03bd\u03b5\u03b4\u03c1\u03af\u03bf\u03c5 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd, \u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u0392\u03b9\u03bf\u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae\u03c2 \u03a0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2 \u2013 \u039f \u03a1\u03cc\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03a4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03af\u03b1\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ce\u03bd<\/em>, \u03a3\u03b1\u03bd\u03c4\u03bf\u03c1\u03af\u03bd\u03b7, 28-30 \u0399\u03bf\u03c5\u03bd\u03af\u03bf\u03c5 2001.<\/li><li>[KSPPKMK01] V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, and A. Kallinakis, \u201cIntelligent Clustering Techniques for Prediction of Sugar Production,\u201d <em>Proceedings of the European Workshop on Intelligent Forecasting, Diagnosis and Control<\/em>, Santorini, Greece, 24-28 June 2001.<\/li><li>[Kaza02] A. Kazarlis, \u201cMicro-Genetic Algorithms As Generalized Hill-Climbing Operators for GA Optimization of Combinatorial Problems \u2013 Application to Power Systems Scheduling\u201d, <em>Proceedings of the 4<sup>th<\/sup> Conference on Technology and Automation, October 2002<\/em>, Thessaloniki, Greece (Dept.of Automation, A.T.E.I. of Thessaloniki, Greece), pp. 300-305.<\/li><li>[KaKa02] G. Kaburlazos, S. Kazarlis, \u201c\u03c3-FLNMAP with Voting (\u03c3FLNMAPwV): A Genetically Optimized Ensemble of Classifiers With the Capacity to Deal With Partially-Ordered, Disparate Types of Data &#8211; Application to Financial Problems\u201d, <em>Proceedings of the 4<sup>th<\/sup> Conference on Technology and Automation, October 2002<\/em>, Thessaloniki, Greece (Dept.of Automation, A.T.E.I. of Thessaloniki, Greece), pp. 276-281.<\/li><li>[KaPK03] G. Kaburlazos, S.E. Papadakis, S. Kazarlis, \u201cA genetically Optimized Ensemble of s-FLNMAP Neural Classifiers Based on Non-Parametric Probability Distribution Functions\u201d, <em>Proceedings of the IEEE International Joint Conference on Neural Networks 2003 (IJCNN 2003)<\/em>, July 20-24, Portland, Oregon, USA, pp. 426-431.<\/li><li>[KaPF05] Kazarlis, V. Petridis and P. Fragkou, \u201cSolving University Timetabling Problems Using Advanced Genetic Algorithms,\u201d <em>Proceedings of the 5th International Conference on Technology and Automation (ICTA&#8217;05)<\/em>, Thessaloniki, Greece, 15-16 Oct, 2005, pp. 131-136.<\/li><li>[Ka06] Kazarlis, \u201cCombinatorial Hill Climbing Using Micro-Genetic Algorithms\u201d, <em>Proceedings of the CISSE 2006 International Conference on Computer, Information, and Systems Sciences, and Engineering<\/em>, Dec 4-14 2006.<\/li><li>[Ka07]\u00a0\u00a0 Spyros A. Kazarlis, \u201cConstraint Handling Methods in Genetic Algorithms\u201d, Proceedings of the 11th PANHELLENIC CONFERENCE IN INFORMATICS (PCI 2007), MAY 18-20, 2007, University of Patras, Patras, Greece, Vol. A, pp. 591-606.<\/li><li>[KaPAFS07] \u03a3. \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u0392. \u03a0\u03b5\u03c4\u03c1\u03af\u03b4\u03b7\u03c2, \u03a0. \u0391\u03b4\u03b1\u03bc\u03af\u03b4\u03b7\u03c2, \u03a0. \u03a6\u03c1\u03ac\u03b3\u03ba\u03bf\u03c5, \u039c. \u03a3\u03b1\u03b2\u03b2\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2, \u201c\u0392\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7\u00a0 \u03a0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03a9\u03c1\u03bf\u03bb\u03cc\u03b3\u03b9\u03c9\u03bd \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03ac\u03c4\u03c9\u03bd \u03bc\u03b5 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03bc\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u0395\u03be\u03b5\u03bb\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae\u03c2 \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u03c2\u201d, \u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5 2\u03bf\u03c5 \u03a0\u0391\u039d\u0395\u039b\u039b\u0397\u039d\u0399\u039f\u03a5 \u03a3\u03a5\u039d\u0395\u0394\u03a1\u0399\u039f\u03a5 \u039c\u0397\u03a7\u0391\u039d\u039f\u039b\u039f\u0393\u03a9\u039d \u0397\u039b\u0395\u039a\u03a4\u03a1\u039f\u039b\u039f\u0393\u03a9\u039d, \u0391\u0398\u0397\u039d\u0391, \u0391\u03c1.\u0395\u03c1\u03b3.\u0392-30, \u03a3\u03c5\u03bd\u03b5\u03b4\u03c1\u03af\u03b1 \u0392-5, \u03a3\u03b5\u03bb. 69, 16-18 \u039c\u03b1\u0390\u03bf\u03c5 2007<\/li><li>[KaPAF07] Spyros Kazarlis, Vassilios Petridis, Panagiotis Adamidis, Paulina Fragkou, \u201cEvolutionary Timetabling with a Priority-Based Indirect Representation\u201d, Proceedings of the 22<sup>nd<\/sup> European Conference on Operational Research, EURO XXII, Prague, July 8-11, 2007, Session TC-21, p.140.<\/li><li>[AdVK07] Panagiotis Adamidis, Michail Vrettas, Spyros Kazarlis, \u201cExam Timetabling with Parallel Evolutionary Algorithms: Comparison of Different Selection Methods\u201d, Proceedings of the 22<sup>nd<\/sup> European Conference on Operational Research, EURO XXII, Prague, July 8-11, 2007, Session TC-21, p.140.<\/li><li>[CKRM14] Hilas, S. Kazarlis, I. Rekanos, P. Mastorocostas,, &#8220;A Genetic Programming Approach to Telecommunications Fraud Detection and Classification,&#8221; Proceedings of International Conference on Circuits, Systems, Signal Processing, Communications and Computers, Venice, Italy, pp. 77-83, March 2014.<\/li><li>[KKMPBKV14] S. Kazarlis, J. Kalomiros, P. Mastorocostas, V. Petridis, A. Balouktsis, V. Kalaitzis, A Valais, \u201cA Method for Simulating Digital Circuits for Evolutionary Optimization,\u201d Proceedings of the 10th Annual International Joint Conferences on Computer, Information, Systems Sciences, and Engineering (CISSE 2014), December 12-14, 2014.<\/li><li>[KKBK15]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Kazarlis, J. Kalomiros, A. Balouktsis and V. Kalaitzis, \u201cEvolving Optimal Digital Circuits Using Cartesian Genetic Programming With Solution Repair Methods\u201d, Proceedings of the 2015 International Conference on Systems, Control, Signal Processing and Informatics (SCSI 2015), Barcelona, Spain, April 7-9, 2015, pp. 39-44.<\/li><li>[KaKK15]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 A. Kazarlis, J. Kalomiros, and V. Kalaitzis, \u201cA Cartesian Genetic Programming Approach for Evolving Optimal Digital Circuits\u201d, in Proceedings of the 3<sup>rd<\/sup> Panhellenic Conference on Electronics and Telecommunicaitons (PACET 2015), Ioannina, Greece, May 8-9, 2015.<\/li><li>[KKKBMBP15] S. Kazarlis, J. Kalomiros, V. Kalaitzis, D. Bogas, P. Mastorokostas, A. Balouktsis, and V. Petridis, \u201cReconfigurable Hyper-Structures for Intrinsic Digital Circuit Evolution\u201d, in Proceedings of CENICS 2015: The Eighth International Conference on Advances in Circuits, Electronics and Micro-electronics, Venice, Italy, August 22-28, 2015, pp. 31-36.<\/li><li>[KKKBD15] S. Kazarlis, J. Kalomiros, V. Kalaitzis, A. Balouktsis, and D. Bogas, \u201cIntrinsic Evolution of Digital Circuits Based on a Reconfigurable Hyper-Structure\u201d in Proceedings of the IEEE EUROCON 2015 conference: International Conference on Computer as a Tool, Salamanca, Spain, September 8-11, 2015, pp. 340-345.<\/li><li>[Kaza20]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Kazarlis, \u201c\u03a0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u0395\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd \u0394\u03c1\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u0395\u03bd\u03b4\u03b9\u03b1\u03c6\u03b5\u03c1\u03cc\u03bd\u03c4\u03c9\u03bd \u03c4\u03bf\u03c5 \u03a4\u03bf\u03bc\u03ad\u03b1\u201d, 1<sup>st<\/sup> Internal Conference on Research and Innovation, International Hellenic University, Thessaloniki, Greece, February 1-2, 2020.<\/li><li>[Kaza24] Kazarlis, \u201cIntelligent Car Park Assist Using Fish Swarm Algorithm\u201d, 8th International Conference on Mathematical Models &amp; Computational Techniques in Science &amp; Engineering, MMCTSE 2024, Athens, Greece, June 1-3, 2024, pp. ??-??<\/li><\/ol><p><strong><u>\u00a0<\/u><\/strong><\/p><p class=\"translation-block\"><strong><u>Work under review<\/u><\/strong><\/p><ol><li>[KaPe] S. Kazarlis and V. Petridis, \u201cConstrained Optimisation Using Genetic Algorithms: A Survey,\u201d submitted for publication in the <em>IEEE Transactions on Evolutionary Computation<\/em>.<\/li><\/ol><p><strong><u>Text Books<\/u><\/strong><\/p><ol><li><em>[SaKA01] <\/em>\u039c. \u03a3\u03b1\u03b2\u03b2\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2, \u03a3. \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03a0. \u0391\u03b4\u03b1\u03bc\u03af\u03b4\u03b7\u03c2, \u201c\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399\u0399 (UNIX)\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399\u0399\u00bb \u03c4\u03bf\u03c5 \u0395\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, \u03a4.\u0395.\u0399. \u0398\u03b5\u03c3\u03c3\u03b1\u03bb\u03bf\u03bd\u03af\u03ba\u03b7\u03c2, 2001.<\/li><li><em> [<\/em><em>KaMD<\/em><em>02]<\/em> \u03a3. \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u0399. \u039c\u03b1\u03b4\u03b5\u03bc\u03bb\u03ae\u03c2, \u039a. \u0394\u03bf\u03bc\u03bf\u03c5\u03c7\u03c4\u03c3\u03ae\u03c2, \u201c\u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf \u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u0397\/\u03a5 \u2013 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u0391\u03c3\u03ba\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf\u03bd \u039c\/\u0395 6502\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u0397\/\u03a5\u00bb \u03c4\u03bf\u03c5 \u0394\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2002.<\/li><li><em> [<\/em><em>Kaza<\/em><em>02]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399\u00bb \u03c4\u03bf\u03c5 \u0392\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2002.<\/li><li><em> [<\/em><em>Kaza<\/em><em>02<\/em><em>b<\/em><em>]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399I\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399I\u00bb \u03c4\u03bf\u03c5 \u0393\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2002.<\/li><li><em> [<\/em><em>Kaza<\/em><em>02<\/em><em>c<\/em><em>]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u0397\/\u03a5\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u0397\/\u03a5\u00bb \u03c4\u03bf\u03c5 \u0394\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2002.<\/li><li><em> [<\/em><em>Kaza<\/em><em>02<\/em><em>d<\/em><em>]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u039f\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039f\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2\u00bb \u03c4\u03bf\u03c5 \u0396\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2002.<\/li><li><em>[<\/em><em>KaSa<\/em><em>02] <\/em>\u03a3. \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2 \u03ba\u03b1\u03b9 \u039c. \u03a3\u03b1\u03b2\u03b2\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2,, \u201c\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399\u0399 (UNIX)\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ac \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0399\u0399\u00bb \u03c4\u03bf\u03c5 \u0393\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2002.<\/li><li><em> [<\/em><em>Kaza<\/em><em>03]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u039f\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2 &#8211; \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039f\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2\u00bb \u03c4\u03bf\u03c5 \u0396\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2003.<\/li><li><em> [<\/em><em>Kaza<\/em><em>04]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03af\u03bf\u03c5 \u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2 \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03ce\u03bd \u2013 \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc \u03a3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 BGC-8088\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u0397\/\u03a5\u00bb \u03c4\u03bf\u03c5 \u0394\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2004.<\/li><\/ol><p><em>10 [<\/em><em>Kaza<\/em><em>05] <\/em>\u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0395\u03be\u03b5\u03bb\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0395\u03be\u03b5\u03bb\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u00bb \u03c4\u03bf\u03c5 \u0396\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2005.<\/p><p><em>11.[<\/em><em>Kaza<\/em><em>05<\/em><em>b<\/em><em>]\u00a0 <\/em>\u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0395\u03be\u03b5\u03bb\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae-\u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0395\u03be\u03b5\u03bb\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u00bb \u03c4\u03bf\u03c5 \u0396\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2005.<\/p><ol start=\"12\"><li><em> [<\/em><em>Kaza<\/em><em>08] <\/em>\u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u0397\/\u03a5\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 (2008) \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u0397\/\u03a5\u00bb \u03c4\u03bf\u03c5 \u0394\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 &amp; \u0395\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a4.\u0395.\u0399. \u03a3\u03b5\u03c1\u03c1\u03ce\u03bd, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2008.<\/li><li><em> [<\/em><em>Kaza<\/em><em>13]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0395\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bc\u03ad\u03bd\u03b1 \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0395\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bc\u03ad\u03bd\u03b1 \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u0391\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2\u00bb \u03c4\u03bf\u03c5 \u0391\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u039c\u03b5\u03c4\u03b1\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03bf\u03cd \u03a0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u00ab\u03a4\u03b7\u03bb\u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03ce\u03bd &amp; \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2\u00bb \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03a4\u0395 \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u0394\u03b5\u03ba\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2013.<\/li><li><em> [<\/em><em>Kaza<\/em><em>14]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u039f\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2 \u2013 MS Visual Studio\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u0398\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039f\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03a0\u03c1\u03bf\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2\u00bb \u03c4\u03bf\u03c5 \u0395\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03a4\u0395 \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u0399\u03b1\u03bd\u03bf\u03c5\u03ac\u03c1\u03b9\u03bf\u03c2 2014.<\/li><li><em> [<\/em><em>Kaza<\/em><em>17]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0395\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bc\u03ad\u03bd\u03b1 \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0395\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bc\u03ad\u03bd\u03b1 \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1\u00bb \u03c4\u03bf\u03c5 \u0391\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u039c\u03b5\u03c4\u03b1\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03bf\u03cd \u03a0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03b7 \u00ab\u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u00bb \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03a4\u0395 \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u03a3\u03b5\u03c0\u03c4\u03ad\u03bc\u03b2\u03c1\u03b9\u03bf\u03c2 2017.<\/li><li><em> [<\/em><em>Kaza<\/em><em>18]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u0395\u03c5\u03c6\u03c5\u03af\u03b1 \u2013 \u0395\u03be\u03b5\u03bb\u03b9\u03ba\u03c4\u03b9\u03ba\u03ae \u03a5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ae \u0395\u03c5\u03c6\u03c5\u03af\u03b1\u00bb \u03c4\u03bf\u03c5 \u0392\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u039c\u03b5\u03c4\u03b1\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03bf\u03cd \u03a0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03b7 \u00ab\u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u00bb \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03a4\u0395 \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03ac\u03b9\u03bf\u03c2 2018.<\/li><li><em> [<\/em><em>Kaza<\/em><em>18<\/em><em>b<\/em><em>]<\/em> \u03a3\u03c0\u03cd\u03c1\u03bf\u03c2 \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2, \u201c\u0391\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b1 \u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ac \u039f\u03c7\u03ae\u03bc\u03b1\u03c4\u03b1 \u2013 \u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u0394\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ce\u03bd\u201d, \u0395\u03c0\u03af\u03c3\u03b7\u03bc\u03b5\u03c2 \u03a3\u03b7\u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u00ab\u0391\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b1 \u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ac \u039f\u03c7\u03ae\u03bc\u03b1\u03c4\u03b1\u00bb \u03c4\u03bf\u03c5 \u0392\u2019 \u0395\u03be\u03b1\u03bc\u03ae\u03bd\u03bf\u03c5 \u03c4\u03bf\u03c5 \u039c\u03b5\u03c4\u03b1\u03c0\u03c4\u03c5\u03c7\u03b9\u03b1\u03ba\u03bf\u03cd \u03a0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c4\u03b7 \u00ab\u03a1\u03bf\u03bc\u03c0\u03bf\u03c4\u03b9\u03ba\u03ae\u00bb \u03c4\u03bf\u03c5 \u03a4\u03bc\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u039c\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ce\u03bd \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ba\u03ae\u03c2 \u03a4\u0395 \u03c4\u03b7\u03c2 \u03a3\u03c7\u03bf\u03bb\u03ae\u03c2 \u03a3.\u03a4.\u0395.\u03a6. \u03c4\u03bf\u03c5 \u03a4.\u0395.\u0399. \u039a\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u039c\u03b1\u03ba\u03b5\u03b4\u03bf\u03bd\u03af\u03b1\u03c2, \u039c\u03ac\u03b9\u03bf\u03c2 2018.<\/li><\/ol><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8453\" aria-expanded=\"false\">Ioannis Kalomiros<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8453\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8453\" tabindex=\"0\" hidden=\"hidden\"><p>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u039a\u03b1\u03c1\u03c4\u03ad\u03bb\u03b1\u03c2<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8454\" aria-expanded=\"false\">Athanasios Nikolaidis<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8454\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8454\" tabindex=\"0\" hidden=\"hidden\"><p>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u039a\u03b1\u03c1\u03c4\u03ad\u03bb\u03b1\u03c2<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8455\" aria-expanded=\"false\">Stavros Vologiannidis<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8455\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8455\" tabindex=\"0\" hidden=\"hidden\"><p>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u039a\u03b1\u03c1\u03c4\u03ad\u03bb\u03b1\u03c2<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"6\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8456\" aria-expanded=\"false\">\u0399\u03c9\u03ac\u03bd\u03bd\u03b7\u03c2 \u0392\u03bf\u03c5\u03c1\u03b2\u03bf\u03c5\u03bb\u03ac\u03ba\u03b7\u03c2<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8456\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8456\" tabindex=\"0\" hidden=\"hidden\"><p>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u039a\u03b1\u03c1\u03c4\u03ad\u03bb\u03b1\u03c2<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"7\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-8457\" aria-expanded=\"false\">Emmanouil Bakirtzis<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-8457\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"7\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-8457\" tabindex=\"0\" hidden=\"hidden\"><p>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u039a\u03b1\u03c1\u03c4\u03ad\u03bb\u03b1\u03c2<\/p><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>\u0392\u03b1\u03c3\u03af\u03bb\u03b5\u03b9\u03bf\u03c2 \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2 \u03a3\u03c0\u03c5\u03c1\u03af\u03b4\u03c9\u03bd \u039a\u03b1\u03b6\u03b1\u03c1\u03bb\u03ae\u03c2 \u0399\u03c9\u03ac\u03bd\u03bd\u03b7\u03c2 \u039a\u03b1\u03bb\u03cc\u03bc\u03bf\u03b9\u03c1\u03bf\u03c2 \u0391\u03b8\u03b1\u03bd\u03ac\u03c3\u03b9\u03bf\u03c2 \u039d\u03b9\u03ba\u03bf\u03bb\u03b1\u03af\u03b4\u03b7\u03c2 \u03a3\u03c4\u03b1\u03cd\u03c1\u03bf\u03c2 \u0392\u03bf\u03bb\u03bf\u03b3\u03b9\u03b1\u03bd\u03bd\u03af\u03b4\u03b7\u03c2 \u0399\u03c9\u03ac\u03bd\u03bd\u03b7\u03c2 \u0392\u03bf\u03c5\u03c1\u03b2\u03bf\u03c5\u03bb\u03ac\u03ba\u03b7\u03c2 \u0395\u03bc\u03bc\u03b1\u03bd\u03bf\u03c5\u03ae\u03bb \u039c\u03c0\u03b1\u03ba\u03b9\u03c1\u03c4\u03b6\u03ae\u03c2 \u0392\u03b1\u03c3\u03af\u03bb\u03b5\u03b9\u03bf\u03c2 \u039a\u03b1\u03bc\u03c0\u03bf\u03c5\u03c1\u03bb\u03ac\u03b6\u03bf\u03c2 \u0395\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u039c\u03bf\u03bd\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b5\u03c2 (\u0395\u039c) [\u0395\u039c#1]\u00a0\u00a0\u00a0\u00a0 V.G. Kaburlasos, Towards a Unified Modeling and Knowledge-Representation Based on&hellip;<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"class_list":["post-1260","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/pages\/1260","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/comments?post=1260"}],"version-history":[{"count":82,"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/pages\/1260\/revisions"}],"predecessor-version":[{"id":1370,"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/pages\/1260\/revisions\/1370"}],"wp:attachment":[{"href":"https:\/\/rislab.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}