Publications

Research Monographs (RM)

[ΕΜ#1]     V.G. Kaburlasos, Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory – Computational Intelligence and Soft Computing Applications. Heidelberg, Germany: Springer, series: Studies in Computational Intelligence, vol. 27, 2006, ISBN: 3-540-34169-2.

Patents (PA)

“Robotic end-effector tool for simultaneous cutting and holding of an object with application in precision agriculture and particularly in viticulture”, 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).

“Filter for fusion of multimodal information collection and application to social robots for autonomous interaction with humans”, 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).

Textbooks (TB)

V.G. Kaburlasos, G.A. Papakostas, Introduction to Computational Intelligence – A Holistic Approach. (in Greek) Hellenic Academic Ebooks (www.kallipos.gr), 2016. (https://repository.kallipos.gr/handle/11419/3443 ).

                   (https://www.openbook.gr/eisagwgi-stin-ypologistiki-noimosyni/ ).

Edited Collective Volumes (ECV)

[ΕΣΤ#1]    V.G. Kaburlasos, G.X. Ritter (eds.) Computational Intelligence Based on Lattice Theory. Heidelberg, Germany: Springer, series: Studies in Computational Intelligence, vol. 67, 2007, ISBN: 3-540-72686-9.

[ΕΣΤ#2]    V. Kaburlasos, U. Priss, M. Graρa (eds.), LBM 2008 (CLA 2008), Proceedings of the Lattice-Based Modeling Workshop, in conjunction with The Sixth International Conference on Concept Lattices and Their Applications. Olomouc, Czech Republic: Palackύ University, 2008, ISBN: 978-80-244-2112-4.

SCI      [ΕΣΤ#3]    V.G. Kaburlasos (Guest Editor), Special Issue on “Information Engineering Applications Based on Lattices”, Information Sciences, vol. 181, iss. 10, pp. 1771-1773, 2011 (16 papers, pp. 1774-2060).

[ΕΣΤ#4]    G.A. Papakostas, A.G. Hatzimichailidis, V.G. Kaburlasos (eds.) Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications. Science Gate Publishing (SGP) vol.6, http://sciencegatepub.com/ , 2016, ISBN: 978-618-81418-1-2 (print), ISBN: 978-618-81418-2-9 (e-book).

                   (http://sciencegatepub.com/books/gcsr/gcsr_vol6/ ).

SCIE   [ΕΣΤ#5]    V. G. Kaburlasos (Guest Editor), Special Issue on “Lattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications”, Mathematics, vol. 10, no. 2, 271, 2022. https://www.mdpi.com/2227-7390/10/2/271 (Section “Computational and Applied Mathematics”) https://www.mdpi.com/journal/mathematics/special_issues/Lattice_Computing (8 papers).

                                Citation: Kaburlasos, V.G. Lattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications. Mathematics 2022, 10, 271. https://doi.org/10.3390/math10020271

SCI      [ΕΣΤ#6]    Lyuba Alboul, Maya Dimitrova, Anna Lekova, Vassilis George Kaburlasos, Peter Mitrouchev,  (Guest Editors), Special Issue on “Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives”, Frontiers in Robotics and AI (Section “Biomedical Robotics”), 10 October 2023, vol. 10, 2023 https://www.frontiersin.org/articles/10.3389/frobt.2023.1288360/full  (4 papers).

Scientific Journals (SJ)

SCI      [ΕΠ#1]      D.D. Egbert, P.H. Goodman, V.G. Kaburlasos, J.H. Whitchey, “Generalization capabilities of subtle image pattern classifiers”, IEEE Transactions on Knowledge and Data Engineering, vol. 4, no. 2, pp. 172-177, 1992.

J           [ΕΠ#2]      V.G. Kaburlasos, V. Petridis, “Fuzzy lattice neurocomputing (FLN): a novel connectionist scheme for versatile learning and decision making by clustering”, International Journal of Computers and Their Applications, vol. 4, no. 3, pp. 31-43, 1997.

SCI      [ΕΠ#3]      V. Petridis, V.G. Kaburlasos, “Fuzzy lattice neural network (FLNN): a hybrid model for learning”, IEEE Transactions on Neural Networks, vol. 9, no. 5, pp. 877-890, 1998 (Special Issue on Neural Networks and Hybrid Intelligent Models: Foundations, Theory, and Applications. Guest Editors: C. Lee Giles, Ron Sun).

SCI      [ΕΠ#4]      V. Petridis, V.G. Kaburlasos, “Learning in the framework of fuzzy lattices”, IEEE Transactions on Fuzzy Systems, vol. 7, no. 4, pp. 422-440, 1999.

                   Errata in IEEE Transactions on Fuzzy Systems, vol. 8, no. 2, p. 236, 2000.

SCIE   [ΕΠ#5]      V.G. Kaburlasos, V. Petridis, P. Brett, D. Baker, “Estimation of the stapes-bone thickness in stapedotomy surgical procedure using a machine-learning technique”, IEEE Transactions on Information Technology in Biomedicine, vol. 3, no. 4, pp. 268-277, 1999.

SCI      [ΕΠ#6]      V.G. Kaburlasos, V. Petridis, “Fuzzy lattice neurocomputing (FLN) models”, Neural Networks, vol. 13, no. 10, pp. 1145-1170, 2000.

SCI      [ΕΠ#7]      V. Petridis, V.G. Kaburlasos, “Clustering and classification in structured data domains using fuzzy lattice neurocomputing (FLN)”, IEEE Transactions on Knowledge and Data Engineering, vol. 13, no. 2, pp. 245-260, 2001 (Special Section on Connectionist Models for Learning in Structured Domains. Guest Editors: Paolo Frasconi, Marco Gori, Alessandro Sperduti).

SCIE   [ΕΠ#8]      V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, A. Kallinakis, “Intelligent clustering techniques for prediction of sugar production”, Mathematics and Computers in Simulation, vol. 60, iss. 3-5, pp. 159-168, 2002 (Special Issue on Intelligent Forecasting, Fault Diagnosis, Scheduling, and Control. Guest Editors: Spyros G. Tzafestas, Elpida S. Tzafestas).

SCI      [ΕΠ#9]      V. Petridis, S. Kazarlis, V.G. Kaburlasos, “ACES: an interactive software platform for self-instruction and self-evaluation in automatic control systems”, IEEE Transactions on Education, vol. 46, no. 1, pp. 102-110, 2003.

SCIE   [ΕΠ#10]    V. Petridis, V.G. Kaburlasos, “FINkNN: a fuzzy interval number k-nearest neighbor classifier for prediction of sugar production from populations of samples”, Journal of Machine Learning Research, vol. 4(Apr), pp. 17-37, 2003.

SCIE   [ΕΠ#11]    A. Kehagias, V. Petridis, V.G. Kaburlasos, P. Fragkou, “A comparison of word- and sense-based text categorization using several classification algorithms”, Journal of Intelligent Information Systems, vol. 21(Nov), no. 3, pp. 227-247, 2003.

SCI      [ΕΠ#12]    V.G. Kaburlasos, “FINs: lattice theoretic tools for improving prediction of sugar production from populations of measurements”, IEEE Transactions on Systems, Man and Cybernetics – Part B, vol. 34, no. 2, pp. 1017-1030, 2004.

SCIE   [ΕΠ#13]    S.E. Papadakis, P. Tzionas, V.G. Kaburlasos, J.B. Theocharis, “A genetic based approach to the Type I structure identification problem”, Informatica, vol. 16, no. 3, pp. 365-382, 2005.

SCI      [ΕΠ#14]    V.G. Kaburlasos, A. Kehagias, “Novel fuzzy inference system (FIS) analysis and design based on lattice theory. part I: working principles”, International Journal of General Systems, vol. 35, no. 1, pp. 45-67, 2006.

SCI      [ΕΠ#15]    V.G. Kaburlasos, S.E. Papadakis, “Granular self-organizing map (grSOM) for structure identification”, Neural Networks, vol. 19, no. 5, pp. 623-643, 2006.

SCI      [ΕΠ#16]    V.G. Kaburlasos, A. Kehagias, “Novel fuzzy inference system (FIS) analysis and design based on lattice theory”, IEEE Transactions on Fuzzy Systems, vol. 15, no. 2, pp. 243-260, 2007.

SCI      [ΕΠ#17]    V.G. Kaburlasos, I.N. Athanasiadis, P.A. Mitkas, “Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation”, International Journal of Approximate Reasoning, vol. 45, no. 1, pp. 152-188, 2007.

SCIE   [ΕΠ#18]    V.G. Kaburlasos, C.C. Marinagi, V.T. Tsoukalas, “Personalized multi-student improvement based on Bayesian cybernetics”, Computers & Education, vol. 51, no. 4, pp. 1430-1449, 2008.

SCIE   [ΕΠ#19]    V.G. Kaburlasos, S.E. Papadakis, “A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR)”, Neurocomputing, vol. 72, no. 10-12, pp. 2067-2078, 2009 (Special Section on Lattice Computing and Natural Computing. Guest Editor: Manuel Graρa).

SCIE   [ΕΠ#20]    V.G. Kaburlasos, L. Moussiades, A. Vakali, “Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning”, Neurocomputing, vol. 72, no. 10-12, pp. 2121-2133, 2009 (Special Section on Lattice Computing and Natural Computing. Guest Editor: Manuel Graρa).

SCI      [ΕΠ#21]    S.E. Papadakis, V.G. Kaburlasos, “Piecewise-linear approximation of nonlinear models based on probabilistically/possibilistically interpreted Intervals’ Numbers (INs)”, Information Sciences, vol. 180, iss. 24, pp. 5060-5076, 2010.

SCI      [ΕΠ#22]    A. Amanatiadis, V.G. Kaburlasos, A. Gasteratos, S.E. Papadakis, “Evaluation of shape descriptors for shape-based image retrieval”, IET Image Processing, vol. 5, iss. 5, pp. 493-499, 2011.

SCI      [ΕΠ#23]    V.G. Kaburlasos, S.E. Papadakis, A. Amanatiadis, “Binary image 2D shape learning and recognition based on lattice computing (LC) techniques”, Journal of Mathematical Imaging and Vision, vol. 42, no. 2-3, pp. 118-133, 2012 (Special Issue on Hybrid Artificial Intelligent Systems. Guest Editors: Manuel Graρa, Emilio Corchado, Michal Wozniak).

SCIE   [ΕΠ#24]    A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, “A novel distance measure of intuitionistic fuzzy sets and its application to pattern recognition problems”, International Journal of Intelligent Systems, vol. 27, no. 4, pp. 396-409, 2012.

SCIE   [ΕΠ#25]    G.A. Papakostas, A.G. Hatzimichailidis, V.G. Kaburlasos, “Distance and similarity measures between intuitionistic fuzzy sets: a comparative analysis from a pattern recognition point of view”, Pattern Recognition Letters, vol. 34, no. 14, pp. 1609-1622, 2013.

SCI      [ΕΠ#26]    V.G. Kaburlasos, S.E. Papadakis, G.A. Papakostas, “Lattice computing extension of the FAM neural classifier for human facial expression recognition”, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 10, pp. 1526-1538, 2013.

J           [ΕΠ#27]    V.G. Kaburlasos, L. Moussiades, “Induction of formal concepts by lattice computing techniques for tunable classification”, Journal of Engineering Science and Technology Review, vol. 7, no. 1, pp. 1-8, 2014.

SCIE   [ΕΠ#28]    V.G. Kaburlasos, T. Pachidis, “A Lattice-Computing ensemble for reasoning based on formal fusion of disparate data types, and an industrial dispensing application”, Information Fusion, vol. 16, pp. 68-83, 2014 (Special Issue on Information Fusion in Hybrid Intelligent Fusion Systems. Guest Editors: Michal Wozniak, Emilio Corchado and Manuel Graρa).

SCIE   [ΕΠ#29]    S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, “Two fuzzy lattice reasoning (FLR) classifiers and their application for human facial expression recognition”, Journal of Multiple-Valued Logic and Soft Computing, vol. 22, no. 4-6, pp. 561-579, 2014 (Special Issue on Uncertainty Modeling in Knowledge Engineering and Decision Making. Guest Editors: Cengiz Kahraman and Farouk Yalaoui).

SCI      [ΕΠ#30]    V.G. Kaburlasos, A. Kehagias, “Fuzzy inference system (FIS) extensions based on the lattice theory”, IEEE Transactions on Fuzzy Systems, vol. 22, no. 3, pp. 531-546, 2014.

SCIE   [ΕΠ#31]    Y. Jamshidi, V.G. Kaburlasos, “gsaINknn: A GSA optimized, lattice computing knn classifier”, Engineering Applications of Artificial Intelligence, vol. 35, pp. 277-285, 2014.

SCIE   [ΕΠ#32]    G.A. Papakostas, A. Savio, M. Graρa, V.G. Kaburlasos, “A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI data”, Neurocomputing, vol. 150, part A, pp. 37-42, 2015 (Special Issue on Bioinspired and knowledge based techniques and applications. Guest Editors: Manuel Graρa and Bogdan Raducanu).

SCI      [ΕΠ#33]    V.G. Kaburlasos, G.A. Papakostas, “Learning distributions of image features by interactive fuzzy lattice reasoning (FLR) in pattern recognition applications”, IEEE Computational Intelligence Magazine, vol. 10, no. 3, pp. 42-51, 2015 (Special Issue on New Trends of Learning in Computational Intelligence. Guest Editors: Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu).

J           [ΕΠ#34]    A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, “A distance measure based on fuzzy D-implications: application in pattern recognition”, British Journal of Mathematics & Computer Science, vol. 14, no. 3, pp. 1-14, 2016.

SCIE   [ΕΠ#35]    Y. Zhang, D. Huang, W. Gao, V.G. Kaburlasos, “A decision making approach with linguistic weight and unavoidable incomparable ranking”, International Journal of Computational Intelligence Systems, vol. 12, no. 2, pp. 1102-1112, 2019.

J           [ΕΠ#36]    T. Pachidis, E. Vrochidou, C.I. Papadopoulou, V.G. Kaburlasos, S. Kostova, M. Bonković, V. Papić, “Integrating robotics in education and vice versa; shifting from blackboard to keyboard”, International Journal of Mechanics and Control, ISSN: 1590-8844, vol. 20, no. 01, June 2019, pp. 53-69.

SCIE   [ΕΠ#37]    E. Mavridou, E. Vrochidou, G.A. Papakostas, T. Pachidis, V.G. Kaburlasos, “Machine vision systems in precision agriculture for crop farming”, Journal of Imaging, vol. 5, no. 12, 89, pp. 1-32, 2019. Doi:10.3390/jimaging5120089.

SCIE   [ΕΠ#38]    C. Lytridis, A. Lekova, C. Bazinas, M. Manios, V.G. Kaburlasos, “WINkNN: Windowed Intervals’ Number kNN classifier for efficient time-series applications”, Mathematics, vol. 8, no. 3, 413, 2020. https://www.mdpi.com/2227-7390/8/3/413 (Special Issue on Lattice Computing: A Mathematical Modelling Paradigm for Cyber–Physical System Applications – Section “Computational and Applied Mathematics”. Guest Editor: Vassilis G. Kaburlasos) https://www.mdpi.com/journal/mathematics/special_issues/Lattice_Computing

SCIE   [ΕΠ#39]    A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, A. Mitropoulos, “Social robots in special education: creating dynamic interactions for optimal experience”, IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 39-45, May 2020. doi:10.1109/MCE.2019.2956218

SCIE   [ΕΠ#40]    C. Lytridis, C. Bazinas, G. Sidiropoulos, G.A. Papakostas, V.G. Kaburlasos, V.-A. Nikopoulou, V. Holeva, A. Evangeliou, “Distance special education delivery by social robots”, Electronics 2020, 9(6), 1034; https://www.mdpi.com/2079-9292/9/6/1034 (Special Issue on Applications and Trends in Social Robotics – Section “Artificial Intelligence”. Guest Editors: M. Malfaz, J. Carlos Castillo, Α. Castro, F. Alonso).

J           [ΕΠ#41]    V.-A. Nikopoulou, V. Holeva, M.D. Kerasidou, P. Kechayas, M. Papadopoulou, E. Vrochidou, G.A. Papakostas, V.G. Kaburlasos, “Identifying linguistic cues; towards developing robots with empathy in autism interventions”, Journal of Clinical Medicine of Kazakhstan, vol. 2, no. 56, pp. 27-33, 2020. https://www.clinmedkaz.org/download/identifying-linguistic-cues-towards-developing-robots-with-empathy-in-autism-interventions-9092.pdf

J           [ΕΠ#42]    M. Qbadou, I. Salhi, H. El Fazazi, K. Mansouri, M. Manios, V. Kaburlasos, “Human-robot multilingual verbal communication – the ontological knowledge and learning-based models”, Advances in Science, Technology and Engineering Systems (ASTES) Journal, vol. 5, no. 4, pp. 540-547, 2020. https://astesj.com/v05/i04/p64/ (Open Access)

SCIE   [ΕΠ#43]    J. Musić, M. Bonković, S. Kružić, T. Marasović, V. Papić, S. Kostova, M. Dimitrova, S. Saeva, M. Zamfirov, V. Kaburlasos, E. Vrochidou, G. Papakostas, T. Pachidis, “Robotics and information technologies in education: four countries from Alpe-Adria-Danube Region survey”, International Journal of Technology and Design Education. Springer Nature B.V. 2020, published online: 13 October 2020, DOI: 10.1007/s10798-020-09631-9

SCIE   [ΕΠ#44]    E. Vrochidou, K. Tziridis, A. Nikolaou, T. Kalampokas, G. A. Papakostas, T. P. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, “An autonomous grape-harvester robot: integrated system architecture”, Electronics 2021, 10(9), 1056; https://doi.org/10.3390/electronics10091056 (Special Issue on Control of Mobile Robots – Section “Systems & Control Engineering”. Guest Editor: Vladan Papic).

SCIE   [ΕΠ#45]    E. Vrochidou, C. Lytridis, C. Bazinas, G.A. Papakostas, H. Wagatsuma, V.G. Kaburlasos, “Brain signals classification based on fuzzy lattice reasoning”, Mathematics, vol. 9, no. 9, 1063, 2021. https://www.mdpi.com/2227-7390/9/9/1063 (Special Issue on Numerical Analysis and Scientific Computing – Section “Computational and Applied Mathematics”. Guest Editors: Theodore E. Simos, Charampos Tsitouras)

SCIE   [ΕΠ#46]    Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. “Grape stem detection using regression convolutional neural networks”, Computers and Electronics in Agriculture. vol. 186, 106220, 2021. https://doi.org/10.1016/j.compag.2021.106220

SCIE   [ΕΠ#47]    G. A. Papakostas, G. K. Sidiropoulos, C. I. Papadopoulou, E. Vrochidou, V. G. Kaburlasos, M. T. Papadopoulou, V. Holeva, V.-A. Nikopoulou, N. Dalivigkas, “Social robots in special education: a systematic review”. Electronics. 2021, 10 (12), 1398; https://www.mdpi.com/2079-9292/10/12/1398 (Special Issue on Recent Advances in Educational Robotics – Section “Artificial Intelligence”. Guest Editors: Savvas A. Chatzichristofis and Zinon Zinonos)

SCIE   [ΕΠ#48]    G. A. Papakostas, G. K. Sidiropoulos, C. Lytridis, C. Bazinas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, P. Kechayas, M. T. Papadopoulou, “Estimating children engagement interacting with robots in special education using machine learning”, Mathematical Problems in Engineering, Special Issue on “Recent Trends in Advance Robotic Systems”, vol. 2021, Article ID 9955212, https://doi.org/10.1155/2021/9955212 (Open Access)

J           [ΕΠ#49]    E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, “Vision-based vineyard trunk detection and its integration into a grapes harvesting robot”, International Journal of Mechanical Engineering and Robotics Research (IJMERR), vol. 10, no. 7, pp. 374-385, July 2021. http://www.ijmerr.com/list-196-1.html (Open Access)

J           [ΕΠ#50]    V. Holeva, V. A. Nikopoulou, P. Kechayas, M. D. Kerasidou, M. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, “Robot-assisted relaxation training for children with autism spectrum disorders”, World Academy of Science, Engineering and Technology (WASET) International Journal of Psychological and Behavioral Sciences, International Scholarly and Scientific Research & Innovation, vol. 15, no. 8, pp. 711-714, August 2021. https://publications.waset.org/10012152/robot-assisted-relaxation-training-for-children-with-autism-spectrum-disorders

SCIE   [ΕΠ#51]    E. Vrochidou, C. Bazinas, M. Manios, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, “Machine vision for ripeness estimation in viticulture automation”, Horticulturae 2021, vol. 7, iss. 9, 282; https://www.mdpi.com/2311-7524/7/9/282 (Open Access). (Special Issue on “Advances in Viticulture Production”. Guest Editor: Massimo Bertamini)

SCIE   [ΕΠ#52]    C. Lytridis, V. G. Kaburlasos, T. Pachidis, M. Manios, E. Vrochidou, T. Kalampokas, S. Chatzistamatis, “An overview of cooperative robotics in agriculture”, Agronomy, vol. 11, no. 9, 1818, 2021. https://www.mdpi.com/2073-4395/11/9/1818. (Special Issue on “Worldwide Trends in Agronomy Research: Bibliometric Studies”. Guest Editors: Prof. Dr. Francisco Manzano Agugliaro, Dr. Esther Salmerσn-Manzano) https://www.mdpi.com/2073-4395/11/9

SCIE   [ΕΠ#53]    V. G. Kaburlasos, C. Lytridis, E. Vrochidou, C. Bazinas, G. A. Papakostas, A. Lekova, O. Bouattane, M. Youssfi, T. Hashimoto, “Granule-based-classifier (GbC): a lattice computing scheme applied on tree data structures”, Mathematics, vol. 9, no. 22, 2889, 2021. https://www.mdpi.com/2227-7390/9/22/2889 (Special Issue on Lattice Computing: A Mathematical Modelling Paradigm for Cyber–Physical System Applications – Section “Computational and Applied Mathematics”. Guest Editor: Vassilis G. Kaburlasos) https://www.mdpi.com/journal/mathematics/special_issues/Lattice_Computing

SCIE   [ΕΠ#54]    C. Lytridis, V. G. Kaburlasos, C. Bazinas, G. A. Papakostas, G. Sidiropoulos, V.-A. Nikopoulou, V. Holeva, M. Papadopoulou, A. Evangeliou, “Behavioral data analysis of robot-assisted Autism Spectrum Disorder (ASD) interventions based on lattice computing techniques”, Sensors, vol. 22, no. 2, 621, 2022. https://www.mdpi.com/1424-8220/22/2/621 (Special Issue on Assistive Robots for Healthcare and Human-Robot Interaction. Guest Editors: Grazia D’ Onofrio, Daniele Sancarlo) https://www.mdpi.com/journal/sensors/special_issues/assisstive_robots_healthcare

J           [ΕΠ#55]    V. A. Nikopoulou, V. Holeva, P. Tatsiopoulou, V. G. Kaburlasos, A. E. Evangeliou, “A pediatric patient with autism spectrum disorder and comorbid compulsive behaviors treated with robot-assisted relaxation: a case report”, Cureus 14(2):e22409. doi:10.7759/cureus.22409 (Open Access)

SCI      [ΕΠ#56]    I. Salhi, M. Qbadou, S. Gouraguine, K. Mansouri, C. Lytridis, V. Kaburlasos, “Towards robot-assisted therapy for children with autism – the ontological knowledge models and reinforcement learning-based algorithms”, Frontiers in Robotics and AI – section Biomedical Robotics, 06 April 2022, vol. 9, Article 713964. https://www.frontiersin.org/articles/10.3389/frobt.2022.713964/full (Special Issue on Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives. Guest Editors: Lyuba Alboul, Maya Dimitrova, Anna Lekova, Vassilis George Kaburlasos, Peter Mitrouchev)

?           [ΕΠ#57]    C. Bazinas, E. Vrochidou, T. Kalampokas, A. Karampatea, V. G. Kaburlasos, “A non-destructive method for grape ripeness estimation using Intervals’ Numbers (INs) techniques”, Agronomy, vol. 12, no. 7, 1564, 2022. https://www.mdpi.com/2073-4395/12/7/1564

?           [ΕΠ#58]    M. T. Papadopoulou, E. Karageorgiou, P. Kechayas, N. Geronikola, C. Lytridis, C. Bazinas, E. Kourampa, E. Avramidou, V. G. Kaburlasos, A. E. Evangeliou, “Efficacy of a robot-assisted intervention in improving learning performance of elementary school children with specific learning disorders”, Children, vol. 9, iss. 8, 1155, 2022. https://www.mdpi.com/2227-9067/9/8/1155

?           [ΕΠ#59]    K. D. Apostolidis, T. Kalampokas, T. P. Pachidis, V. G. Kaburlasos, “Grapevine plant image dataset for pruning”, Data, vol. 7, iss. 8, 110, 2022. https://doi.org/10.3390/data7080110

?           [ΕΠ#60]    E. Vrochidou, V. N. Tsakalidou, I. Kalathas, T. Gkrimpizis, T. Pachidis, V. G. Kaburlasos, “An overview of end-effectors in agricultural robotic harvesting systems”, Agriculture, vol. 12, iss. 8, 1240, 2022. https://doi.org/10.3390/agriculture12081240

?           [ΕΠ#61]    C. Chariskou, E. Vrochidou, A. J. Daniels, V. G. Kaburlasos, “Variable selection on reflectance NIR spectra for the prediction of TSS in intact berries of Thompson seedless grapes”, Agronomy, vol. 12, no. 9, 2113, 2022. https://doi.org/10.3390/agronomy12092113

?           [ΕΠ#62]    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, “Effectiveness of a robot-assisted psychological intervention for children with autism spectrum disorder”, Journal of Autism and Developmental Disorders, Published online: 04 November 2022, https://doi.org/10.1007/s10803-022-05796-5

SCIE   [ΕΠ#63]    C. Lytridis, C. Bazinas, T. Pachidis, V. Chatzis, V. G. Kaburlasos, “Coordinated navigation of two agricultural robots in a vineyard: A simulation study”, Sensors, vol. 22, no. 23, 9095, 2022. https://doi.org/10.3390/s22239095 (Special Issue on Computational Intelligence and Cyberphysical Systems in Sensing. https://www.mdpi.com/journal/sensors/special_issues/S5WO1ME30T  Guest Editor: Manuel Graρa)

?           [ΕΠ#64]    E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, “Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture”, Sustainability, vol. 15, no. 3, 2753, 2023. https://doi.org/10.3390/su15032753 (Topical Collection “Environmental Assessment, Life Cycle Analysis and Sustainability”. Editors: George Banias, Sotiris Patsios, Konstantinos N. Kontogiannopoulos, Kleoniki Pouikli) https://www.mdpi.com/journal/sustainability/topical_collections/environmental_assessment_life_cycle_analysis

?           [ΕΠ#65]    E. Tziolas, E. Karapatzak, I. Kalathas, A. Karampatea, A. Grigoropoulos, A. Bajoub, T. Pachidis, V. G. Kaburlasos, “Assessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices”, Sustainability, vol. 15, no. 4, 3866, 2023. https://www.mdpi.com/2071-1050/15/4/3866 (Special Issue “Sustainability in Circular Bioeconomy”. Editors: Maria Batsioula, Apostolos Malamakis, Spiliotis Xenofon, George Banias) https://www.mdpi.com/journal/sustainability/special_issues/circular_bio_economy

?           [ΕΠ#66]    C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, E. Moschou, V. G. Kaburlasos, “Grape maturity estimation for personalized agrobot harvest by fuzzy lattice reasoning (FLR) on an ontology of constraints”, Sustainability, vol. 15, no. 9, 7331, 2023. https://doi.org/10.3390/su15097331 (Special Issue Computational Intelligence for Sustainability. Guest Editors: Zhebin Xue, Xianyi Zeng) https://www.mdpi.com/journal/sustainability/special_issues/Computational_IntelligenceSustainability

?           [ΕΠ#67]    E. Badeka, E. Karapatzak, A. Karampatea, E. Bouloumpasi, I. Kalathas, C. Lytridis, E. Tziolas, V. N. Tsakalidou, V. G. Kaburlasos, “A deep learning approach for precision viticulture, assessing grape maturity via YOLOv7”, Sensors, vol. 23, no. 19, 8126, 2023. https://doi.org/10.3390/s23198126 (Special Issue “Intelligent Sensing and Machine Vision in Precision Agriculture”. Guest Editors: Yuwei Wang, Liqing Chen, Peng Chen, Bolin Cai) https://www.mdpi.com/journal/sensors/special_issues/Z1SF644ZAW

             [ΕΠ#68]    C. Lytridis, C. Bazinas, I. Kalathas, G. Siavalas, C. Tsakmakis, T. Spirantis, E. Badeka, T. Pachidis, V. G. Kaburlasos, “Cooperative grape harvesting using heterogeneous autonomous robots”, Robotics, vol. 12, no. 6, 147, 2023. https://doi.org/10.3390/robotics12060147 (Special Issue “Robotics and AI for Precision Agriculture”. Guest Editor: Giulio Reina) https://www.mdpi.com/journal/robotics/special_issues/6I728O9Q5W

Book Chapters (BC)

[KΒ#1]      V.G. Kaburlasos, V. Petridis, “Learning and decision-making in the framework of fuzzy lattices”. In: New Learning Paradigms in Soft Computing, 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.

[KΒ#2]      V.G. Kaburlasos, “Granular enhancement of fuzzy-ART/SOM neural classifiers based on lattice theory”. In: Computational Intelligence Based on Lattice Theory, 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.

[KΒ#3]      V.G. Kaburlasos, “Unified analysis and design of ART/SOM neural networks and fuzzy inference systems based on lattice theory”. In: Computational and Ambient Intelligence, F. Sandoval, A. Prieto, J. Cabestany, M. Graρa (eds.), pp. 80-93, 2007. Springer-Verlag, series: Lecture Notes Computer Science (LNCS), vol. 4507, ISBN: 3-540-73006-0.

[KΒ#4]      V.G. Kaburlasos, “Neural/fuzzy computing based on lattice theory”. In: Encyclopedia of Artificial Intelligence, Juan Ramσn Rabuρal Dopico, Juliαn Dorado de la Calle, Alejandro Pazos Sierra (eds.), pp. 1238-1243, 2009. Information Science Reference, IGI Global publication, ISBN: 1-599-04849-3.

[KΒ#5]      A. Amanatiadis, A. Gasteratos, S. Papadakis, V. Kaburlasos, “Image Stabilization in Active Robot Vision”. In: Robot Vision, Aleš Ude (ed.), pp. 261-274, 2010. Vukovar, Croatia: In-Tech, ISBN: 978-953-307-077-3.

[KΒ#6]      A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, “On constructing distance and similarity measures based on fuzzy implications”. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), 2016. Science Gate Publishing (SGP) vol. 6, http://sciencegatepub.com/books/gcsr/gcsr_vol6/ .

[KΒ#7]      Y. Liu, V.G. Kaburlasos, A.G. Hatzimichailidis, Y. Xu, “Toward a synergy of a lattice implication algebra with fuzzy lattice reasoning – a lattice computing approach”. In: Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications, George A. Papakostas, Anestis G. Hatzimichailidis, Vassilis G. Kaburlasos (eds.), 2016. Science Gate Publishing (SGP) vol. 6, http://sciencegatepub.com/books/gcsr/gcsr_vol6/ .

[KΒ#8]      V. Kaburlasos, E. Vrochidou, “Social robots for pedagogical rehabilitation: trends and novel modeling principles”. In: Cyber-Physical Systems for Social Applications, M. Dimitrova & H. Wagatsuma (Eds.), pp. 1-21, 2019. IGI Global: Pennsylvania, USA. ISBN13: 9781522578796, DOI: 10.4018/978-1-5225-7879-6. https://www.igi-global.com/chapter/social-robots-for-pedagogical-rehabilitation/224413 (Open Access)

[KΒ#9]      M. Youssfi, F. Ezzahra Ezzrhari, Y. Hajoui, O. Bouattane, V. Kaburlasos, “Multi-micro-agent system middleware model based on event sourcing and CQRS patterns”. In: Smart Trajectories: Metamodeling, Reactive Architecture for Analytics, and Smart Applications, A. Boulmakoul, L. Karim, B. Bhushan (Eds.), chapter 2, pp. 25-46, 2022. CRC Press, Taylor & Francis Group: Florida, USA. eBook ISBN 9781003255635, DOI: 10.1201/9781003255635-2

[KΒ#10]   G. Siavalas, E. Vrochidou, V. G. Kaburlasos, “Unmanned aerial vehicles for agricultural automation”. In: Unmanned Aerial Systems in Agriculture: Eyes Above Fields, D. Bochtis, A. C. Tagarakis, D. Kateris (Eds.), chapter 6, pp. 113-158, August 11, 2023. Academic Press, Paperback ISBN: 9780323919401, eBook ISBN: 9780323914017

Other Journals (OJ)

J           [ΑΠ#1]      V.G. Kaburlasos, “The engineering of scientific induction”, Journal of Liberal Arts, vol. 4, no. 2, pp. 41-57, 1998.

Legend:

SCI: Science Citation Index  Ì  SCIE: SCI Expanded º Web of Science (WoS).                              J: other journal.

Conferences (C)

[Σ#1]         V.G. Kaburlasos, D.D. Egbert, P.H. Goodman, “Neurocomputing classification of biomedical image patterns”, Proceedings of the International Society for Mini and Microcomputers (ISMM) International Conference on Computer Applications in Design Simulation and Analysis, Reno NV, 22-24 Feb. 1989.

[Σ#2]         P.H. Goodman, D.D. Egbert, V.G. Kaburlasos, “Whiplash detection using neural network processing of infrared thermograms”, Proceedings of the 18th Annual Meetings American Academy of Thermology, Johns Hopkins, 17-19 May 1989, and an abstract in The Journal of the American Academy of Thermology and The Intl College of Thermology, Vol. 3, No. 2, 1989, pp. 139.

[Σ#3]         V.G. Kaburlasos, D.D. Egbert, E.C. Tacker, “Self-adaptive multidimensional Euclidean neural networks for pattern recognition”, Proceedings of the IEEE 1989 International Joint Conference on Neural Networks (IJCNN’89), Washington DC, 18-22 June 1989, vol. 2, pp. 595.

[Σ#4]         D.D. Egbert, V.G. Kaburlasos, P.H. Goodman, “Invariant feature extraction for neurocomputer analysis of biomedical images”, Proceedings of the Second Annual IEEE Symposium on Computer-Based Medical Systems, Univ. of Minnesota, 26-27 June 1989, pp. 69-73.

[Σ#5]         V.G. Kaburlasos, E.C. Tacker, D.D. Egbert, “A plastic self-adaptive learning machine for pattern recognition”, Proceedings of the 1989 IEEE International Conference on Systems, Man and Cybernetics, Cambridge MA, 14-17 November 1989, vol. 2, pp. 824-827.

[Σ#6]         D.D. Egbert, V.G. Kaburlasos, P.H. Goodman, “Neural network discrimination of subtle image patterns”, Proceedings of the IEEE 1990 International Joint Conference on Neural Networks (IJCNN’90), San-Diego CA, 14-17 June 1990, vol. 1, pp. 517-524.

[Σ#7]         V.G. Kaburlasos, N.G. Publicover, D.D. Egbert, G. Liu, I.E. Burbey, “Monitoring the propagation of electrical excitation in smooth muscle tissue: a B-spline approach”, Proceedings of the IASTED 1990 International Conference on Artificial Intelligence Applications and Neural Networks, Zurich Switzerland, 25-27 June 1990.

[Σ#8]         V.G. Kaburlasos, D.D. Egbert, M. Rao, “A hardware implementation of the adaptive resonance theory neural network”, Proceedings of the 1991 Golden West Conference on Intelligent Systems, Reno NV, 3-5 June 1991, pp. 21-28.

[Σ#9]         J.H. Whitchey, D.D. Egbert, V.G. Kaburlasos, P.H. Goodman, “Unsupervised neural network discrimination of subtle image patterns”, Proceedings of the 1991 Golden West Conference on Intelligent Systems, Reno NV, 3-5 June 1991, pp. 1-8.

[Σ#10]       P.H. Goodman, V.G. Kaburlasos, D.D. Egbert, G.A. Carpenter, S. Grossberg, J.H. Reynolds, K. Hammermeister, G. Marshall, F. Grover, “Fuzzy ARTMAP neural network prediction of heart surgery mortality”, Proceedings of the Wang Conference on Neural Networks Learning, Recognition, and Control, Boston MA, 14-17 May 1992, pp. 48.

[Σ#11]       A.J. Kelly, P.H.Goodman, V.G. Kaburlasos, D.D. Egbert, M.E. Hardin, “Neural network prediction of child sexual abuse”, Clinical Research, vol. 40, iss. 1, pp. A99, 1992.

[Σ#12]       P.H. Goodman, V.G. Kaburlasos, D.D. Egbert, G.A. Carpenter, S. Grossberg, J.H. Reynolds, D.B. Rosen, A.J. Hartz, “Fuzzy ARTMAP neural network compared to linear discriminant analysis prediction of the length of hospital stay in patients with pneumonia”, in Fuzzy Logic Technology & Applications, R.J. Marks II (ed.), chapter 11 Bioengineering, 1994. New York, NY: IEEE Press (Proceedings of the IEEE 1992 Intl. Conf. on Systems, Man and Cybernetics, Chicago IL, 18-21 October 1992, vol. 1, pp. 748-753).

[Σ#13]       Β. Πετρίδης, Β. Καμπουρλάζος, Ε. Πατεράκης, Α. Κεχαγιάς, “Ασαφείς, νευρωνικές και γενετικές μέθοδοι ευφυούς ελέγχου”, Πρακτικά Διημέρου “Σύγχρονες Τεχνολογίες Αυτομάτου Ελέγχου” με χορηγό το Τεχνικό Επιμελητήριο Ελλάδας, Αθήνα, Ξενοδοχείο Intercontinental, 14-15 Δεκ. 1995, σελ. 93-97.

[Σ#14]       V. Petridis, V.G. Kaburlasos, P. Brett, T. Parker, J.C.C. Day, “Two level fuzzy lattice (2L-FL) supervised clustering: a new method for soft tissue identification in surgery”, Proceedings of the CESA / IMACS 1996 Multiconference, Lille France, 9-12 July 1996, pp. 232-237.

[Σ#15]       V.G. Kaburlasos, V. Petridis, “Fuzzy lattice neurocomputing (FLN)”, Proceedings of the Fifth International Conference on Intelligent Systems, Reno NV, 19-21 June 1996, pp. 56-60.

[Σ#16]       V. Petridis, V.G. Kaburlasos, “FLN: a fuzzy lattice neurocomputing scheme for clustering”, Proceedings of the 1996 World Congress on Neural Networks, San Diego CA, 15-20 September 1996, pp. 942-945.

[Σ#17]       V. Kaburlasos, V. Petridis, B. Allotta, P. Dario, “Automatic detection of bone breakthrough in orthopedics by fuzzy lattice reasoning (FLR): the case of drilling in the osteosynthesis of long bones”, Proceedings of the Mechatronical Computer Systems for Perception and Action (MCPA’97), Pisa Italy, 10-12 February 1997, pp. 33-40.

[Σ#18]       V.G. Kaburlasos, V. Petridis, P. Brett, D. Baker, “On-line estimation of the stapes-bone thickness in stapedotomy by learning a linear association of the force and torque drilling profiles”, Proceedings of the IASTED 1997 International Conference on Intelligent Information Systems (ISS’97), Grand Bahama Island, Bahamas, 8-10 December 1997, pp. 80-84.

[Σ#19]       V.G. Kaburlasos, V. Petridis, P. Brett, D. Baker, “Learning a linear association of drilling profiles in stapedotomy surgery”, Proceedings of the IEEE 1998 International Conference on Robotics & Automation (ICRA’98), Leuven, Belgium, 16-20 May 1998, vol.1, pp. 705-710.

[Σ#20]       V.G. Kaburlasos, V. Petridis, “A unifying framework for hybrid information processing”, Proceedings of the ISCA 7^th International Conference on Intelligent Systems (ICIS’98), Paris, France, 1-3 July 1998, pp. 68-71.

[Σ#21]       Β. Πετρίδης, Β. Καμπουρλάζος, Α. Κεχαγιάς, “Εφαρμογές τεχνικών ευφυούς ελέγχου σε χειρουργικές επεμβάσεις”, Πρακτικά 2^ου Συνεδρίου Τεχνολογίας και Αυτοματισμού, Θεσσαλονίκη, Συνεδριακό Κέντρο HELEXPO, 2-3 Οκτωβρίου 1998, σελ. 182-187.

[Σ#22]       V.G. Kaburlasos, V. Petridis, “Regression on heterogeneous fuzzy data”, Proceedings of the 7^th European Congress on Intelligent Techniques and Soft Computing (EUFIT’99), Aachen, Germany, 13-16 September 1999, session CC2.

[Σ#23]       V. Petridis, V.G. Kaburlasos, “Modeling of systems using heterogeneous data”, Proceedings of the 1999 IEEE International Conference Systems, Man & Cybernetics (IEEE SMC’99), Tokyo, Japan, 12-15 October 1999, session FQ04, pp. V308-V313.

[Σ#24]       V. Petridis, V.G. Kaburlasos, “An intelligent mechatronics solution for automated tool guidance in the epidural surgical procedure”, Proceedings of the 7^th Annual Conference on Mechatronics and Machine Vision in Practice (M2VIP’00), Hervey Bay, Australia, 19-21 September 2000, pp. 201-206.

[Σ#25]       Β. Πετρίδης, Β. Καμπουρλάζος, Σ. Καζαρλής, Λ. Πέτρου, Γ. Χασάπης, “Προσομοίωση και υπερ-κείμενο: Λογισμικό εξάσκησης σε συστήματα πραγματικού χρόνου (ΠΥΛΕΣ)”, Περιλήψεις Εισηγήσεων Πανελλήνιου Συνεδρίου με θέμα “Έρευνα για την Ελληνική Εκπαίδευση” με χορηγό το Κέντρο Εκπαιδευτικής Έρευνας (Κ.Ε.Ε.) του Υπουργείου Εθνικής Παιδείας & Θρησκευμάτων, Αθήνα, Ξενοδοχείο Τιτάνια, 21-23 Σεπτεμβρίου 2000, σελ. 200-206.

[Σ#26]       V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, A. Kallinakis, “Intelligent clustering techniques for prediction of sugar production”, Proceedings of the European Workshop on Intelligent Forecasting, Diagnosis and Control, Santorini, Greece, 24-28 June 2001.

[Σ#27]       V. Petridis, L. Petrou, V.G. Kaburlasos, V. Spais, S. Kazarlis, “Models for predicting sugar production in Greece”, Πρακτικά Πανελληνίου Συνεδρίου Αυτοματισμού, Ρομποτικής και Βιομηχανικής Παραγωγής – Ο Ρόλος της Τεχνολογίας Πληροφοριών, Σαντορίνη, 28-30 Ιουνίου 2001.

[Σ#28]       V. Petridis, V.G. Kaburlasos, P. Fragkou, A. Kehagias, “Text classification using the σ-FLNMAP neural network”, Proceedings of the 2001 International Joint Conference on Neural Networks (IJCNN’2001), Washington D.C., 14-19 July 2001, vol. 2, pp. 1362-1367.

[Σ#29]       V.G. Kaburlasos, “Novel fuzzy system modeling for automatic control applications”, Proceedings of the 4^th Intl. Conference on Technology & Automation, Thessaloniki, Greece, 5-6 October 2002, pp. 268-275.

[Σ#30]    V.G. Kaburlasos, S. Kazarlis, “s-FLNMAP with voting (sFLNMAPwV): a genetically optimized ensemble of classifiers with the capacity to deal with partially-ordered, disparate types of data. Application to financial problems”, Proceedings of the 4^th Intl. Conference on Technology & Automation, Thessaloniki, Greece, 5-6 October 2002, pp. 276-281.

[Σ#31]       V.G. Kaburlasos, V. Petridis, “Improved prediction of industrial yield based on tools from a normed linear space of Fuzzy Interval Numbers (FINs)”, Proceedings of the 11^th Mediterranean Conference on Control and Automation (MED’03), Rhodes, Greece, 18-20 June 2003, session FM1-B.

[Σ#32]       A. Cripps, V.G. Kaburlasos, N. Nguyen, S.E. Papadakis, “Improved experimental results using fuzzy lattice neurocomputing (FLN) classifiers”, Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications (MLMTA’03), Las Vegas, NV, 23-26 June 2003, pp. 161-166.

[Σ#33]       I.N. Athanasiadis, V.G. Kaburlasos, P.A. Mitkas, V. Petridis, “Applying machine learning techniques on air quality data for real-time decision support”, Proceedings 1^st Intl. NAISO Symposium on Information Technologies in Environmental Engineering (ITEE’2003), Gdansk, Poland, 24-27 June 2003. Technical Session 2: Practical Applications and Experiences. Abstract in ICSC-NAISO Academic Press, Canada (ISBN:3906454339), p.51.

[Σ#34]       V.G. Kaburlasos, L. Moussiadis, V. Tsoukalas, A. Iliopoulou, T. Alevizos, “Adaptive technological education delivery and student examination based on machine-learning tools”, Supplementary Proceedings International Conference on Artificial Neural Networks & International Conference on Neural Information Processing (ICANN/ICONIP 2003), Istanbul, Turkey, 26-29 June 2003, pp. 478-481 (invited paper in Special Session SS05: Machine Learning Advances for Engineering Education).

[Σ#35]       A. Cripps, N. Nguyen, V.G. Kaburlasos, “Three improved fuzzy lattice neurocomputing (FLN) classifiers”, Proceedings of the 2003 International Joint Conference on Neural Networks (IJCNN’2003), Portland, OR, 20-24 July 2003, vol. 3, pp. 1957-1962.

[Σ#36]       V.G. Kaburlasos, “Improved fuzzy lattice neurocomputing (FLN) for semantic neural computing”, Proceedings of the 2003 International Joint Conference on Neural Networks (IJCNN’2003), Portland, OR, 20-24 July 2003, vol. 3, pp. 1850-1855.

[Σ#37]       V.G. Kaburlasos, S.E. Papadakis, S. Kazarlis, “A genetically optimized ensemble of s-FLNMAP neural classifiers based on non-parametric probability distribution functions”, Proceedings of the 2003 International Joint Conference on Neural Networks (IJCNN’2003), Portland, OR, 20-24 July 2003, vol. 1, pp. 426-431.

[Σ#38]       V.G. Kaburlasos, “A device for linking brain to mind based on lattice theory”, Proceedings of the 8^th International Conference on Cognitive and Neural Systems (ICCNS 2004), Boston University, Boston, MA, 19-22 May 2004, p. 58.

[Σ#39]       S.E. Papadakis, C.C. Marinagi, V.G. Kaburlasos, M.K. Theodorides, “Estimation of industrial production using the granular self-organizing map (grSOM)”, Proceedings of the 12^th Mediterranean Conference on Control and Automation (MED’04), Kusadasi, Turkey, 6-9 June 2004, session TuM2-D.

[Σ#40]       V.G. Kaburlasos, S.E. Papadakis, “grSOM: A granular extension of the self-organizing map for structure identification applications”, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Budapest, Hungary, 25-29 July 2004, vol. 2, pp. 789-794.

[Σ#41]       V.G. Kaburlasos, A. Kehagias, “Novel analysis and design of fuzzy inference systems based on lattice theory”, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Budapest, Hungary, 25-29 July 2004, vol.1 pp. 281-286.

[Σ#42]       V.G. Kaburlasos, C.C. Marinagi, V.T. Tsoukalas, “PARES: a software tool for computer-based testing and evaluation used in the Greek higher education system”, Proceedings of the 4^th IEEE International Conference on Advanced Learning Technologies (ICALT 2004), Joensuu, Finland, 30 August – 1 September 2004, pp. 771-773.

[Σ#43]       C.C. Marinagi, V.T. Tsoukalas, V.G. Kaburlasos, “Work in Progress – Development and use of a software tool for improving the average student performance in the Greek higher education system”, Proceedings of the 34^th ASEE/IEEE Frontiers in Education Conference (FIE 2004), Savannah, Georgia, 20-23 October 2004, session S3B, pp. 18-19.

[Σ#44]       V.G. Kaburlasos, V. Chatzis, V. Tsiantos, M. Theodorides, “Granular self-organizing map (grSOM) neural network for industrial quality control”, Proceedings of SPIE, Mathematical Methods in Pattern and Image Analysis, JT Astola, I Tăbuş, J Barrera (eds.), San Diego, California, 3-4 August 2005, vol. 5916, pp. 59160J: 1-10.

[Σ#45]       S.E. Papadakis, V.G. Kaburlasos, “mass-grSOM: a flexible rule extraction for classification”, 5^th Workshop on Self-Organizing Maps (WSOM 2005), Paris, France, 5-8 September 2005, pp. 553-560.

[Σ#46]       V. Chatzis, V.G. Kaburlasos, M. Theodorides, “An image processing method for particle size and shape estimation”, Proceedings of the 2^rd International Scientific Conference on Computer Science, Chalkidiki, Greece, 30 September – 2 October 2005, part II, pp. 7-12.

[Σ#47]       Α. Μαρινάγη, Β. Τσουκαλάς, Β. Καμπουρλάζος, “PARES: πληροφοριακό σύστημα εξ αποστάσεως προσαρμοστικής αξιολόγησης και αυτό-αξιολόγησης,” Proceedings of the 3^rd International Conference on Open and Distance Learning (ICODL 2005) – Applications of Pedagogy and Technology, Patras, Greece, 11-13 November 2005, vol. A, pp. 638-650.

[Σ#48]       C. Marinagi, T. Alevizos, V.G. Kaburlasos, C. Skourlas, “Fuzzy interval number (FIN) techniques for cross language information retrieval”, Proceedings of the 8th International Conference on Enterprise Information Systems (ICEIS 2006), Paphos, Cyprus, 23-27 May 2006, pp. 249-256.

[Σ#49]       A. Hatzimichailidis, V. Kaburlasos, B. Papadopoulos, “An implication in fuzzy sets”, Proceedings of the World Congress on Computational Intelligence (WCCI) 2006, FUZZ-IEEE Program, Vancouver, BC, Canada, 16-21 July 2006, pp. 203-208.

[Σ#50]       I.N. Athanasiadis, V. Kaburlasos, “Air quality assessment using fuzzy lattice reasoning (FLR)”, Proceedings of the World Congress on Computational Intelligence (WCCI) 2006, FUZZ-IEEE Program, Vancouver, BC, Canada, 16-21 July 2006, pp. 231-236.

[Σ#51]       V.G. Kaburlasos, A. Christoforidis, “Granular auto-regressive moving average (grARMA) model for predicting a distribution from other distributions. real-world applications”, Proceedings of the World Congress on Computational Intelligence (WCCI) 2006, FUZZ-IEEE Program, Vancouver, BC, Canada, 16-21 July 2006, pp. 791-796.

[Σ#52]       C.C. Marinagi, V.G. Kaburlasos, “Work in Progress – Practical computerized adaptive assessment based on Bayesian decision theory”, Proceedings of the 36^th ASEE/IEEE Frontiers in Education Conference (FIE 2006), San Diego, CA, 28-31 October 2006, session S2E, pp. 23-24.

[Σ#53]       T. Alevizos, V.G. Kaburlasos, S. Papadakis, C. Skourlas, “Fuzzy interval numbers (FINs) techniques and applications”, Proceedings of the 11^th Panhellenic Conference in Informatics (PCI 2007), Patras, Greece, 18-20 May 2007, vol. B, pp. 255-264.

[Σ#54]       T. Alevizos, V.G. Kaburlasos, S. Papadakis, C. Skourlas, P. Belsis, “Fuzzy interval number (FIN) techniques for multilingual and cross language information retrieval”, Proceedings of the 9th International Conference on Enterprise Information Systems (ICEIS 2007), Funchal, Madeira – Portugal, 12-16 June 2007, pp. 348-355.

[Σ#55]       S. Papadakis, V.G. Kaburlasos, “Induction of classification rules from histograms”, Joint Conference on Information Sciences (JCIS 2007), Proceedings of the 8^th International Conference on Natural Computing (NC 2007), Salt Lake City, Utah, 18-24 July 2007, pp. 1646-1652.

[Σ#56]       V.G. Kaburlasos, S. Papadakis, “Fuzzy lattice reasoning (FLR) implies a granular enhancement of the fuzzy-ARTMAP classifier”, Joint Conference on Information Sciences (JCIS 2007), Proceedings of the 8^th International Conference on Natural Computing (NC 2007), Salt Lake City, Utah, 18-24 July 2007, pp. 1610-1616.

[Σ#57]       V.G. Kaburlasos, L. Moussiades, A. Vakali, “Granular graph clustering in the Web”, Joint Conference on Information Sciences (JCIS 2007), Proceedings of the 8^th International Conference on Natural Computing (NC 2007), Salt Lake City, Utah, 18-24 July 2007, pp. 1639-1645.

[Σ#58]       C. Skourlas, T. Alevizos, P. Belsis, K. Fragos, V.G. Kaburlasos, S. Papadakis, “Fuzzy Interval Numbers (FINs) techniques and its applications in natural language queries processing and documents classification”, Proceedings of the 3^rd Balkan Conference in Informatics (BCI 2007), Sofia, Bulgaria, 27-29 September 2007, pp. 17-28.

[Σ#59]       C.C. Marinagi, V.G. Kaburlasos, V.T. Tsoukalas, “An architecture for an adaptive assessment tool”, Proceedings of the 37^th ASEE/IEEE Frontiers in Education Conference (FIE 2007), Milwaukee, Wisconsin, 10-13 October 2007, session T3D: Distance Learning Assessment Tools, pp. 11-16.

[Σ#60]       C.C. Marinagi, V.T. Tsoukalas, V.G. Kaburlasos, “Modifying a client/server architecture to a Web-based architecture for adaptive assessment”, Proceedings entitled “Operations Research and Tourism Development” of the 20^th National Conference of the Greek Operations Research Society, Spetses island, Greece, 19-21 June 2008, vol. B, pp. 873-884.

[Σ#61]       C.C. Marinagi, V.G. Kaburlasos, “Bayesian Decision Theory for Multi-category Adaptive Testing”, in American Institute of Physics Conference Proceedings 1048, T.E. Simos, G. Psihoyios, Ch. Tsitouras (eds.), pp. 376-379 (International Conference on Numerical Analysis and Applied Mathematics (ICNAAM) 2008, Kos, Greece, 16-20 Sept. 2008).

[Σ#62]       V.G. Kaburlasos, S.E. Papadakis, “Piecewise-linear approximation of nonlinear models based on Interval Numbers (INs)”, Proceedings of the Lattice-Based Modeling (LBM 2008) Workshop, in conjunction with The Sixth International Conference on Concept Lattices and their Applications (CLA 2008), Olomouc, Czech Republic, 21-23 October 2008, pp. 13-22.

[Σ#63]       S.E. Papadakis, V.G. Kaburlasos, “Computation of a sufficient condition for system input redundancy”, Proceedings of the Lattice-Based Modeling (LBM 2008) Workshop, in conjunction with The Sixth International Conference on Concept Lattices and their Applications (CLA 2008), Olomouc, Czech Republic, 21-23 October 2008, pp. 23-31.

[Σ#64]       A.G. Hatzimichailidis, V.G. Kaburlasos, “A novel fuzzy implication stemming from a fuzzy lattice inclusion measure”, Proceedings of the Lattice-Based Modeling (LBM 2008) Workshop, in conjunction with The Sixth International Conference on Concept Lattices and their Applications (CLA 2008), Olomouc, Czech Republic, 21-23 October 2008, pp. 59-66.

[Σ#65]       A. Amanatiadis, V.G. Kaburlasos, A. Gasteratos, S.E. Papadakis, “A comparative study of invariant descriptors for shape retrieval”, Proceedings of the 2009 IEEE International Workshop on Imaging Systems & Techniques (IST 2009), Shenzhen, China, 11-12 May 2009, pp. 391-394.

[Σ#66]       V.G. Kaburlasos, A. Amanatiadis, S.E. Papadakis, “2-D shape representation and recognition by lattice computing techniques”, In: Emilio Corchado, Manuel Graρa, Alexandre Manhaes Savio (Eds.), Hybrid Artificial Intelligence Systems, Proceedings, Part II of the 5th International Conference (HAIS ‘10), San Sebastiαn, Spain, 23-25 June 2010, pp. 391-398. Springer-Verlag, series: Lecture Notes in Artificial Intelligence (LNAI), vol. 6077.

[Σ#67]       V.G. Kaburlasos, “Granular fuzzy inference system (FIS) design by lattice computing”, In: Emilio Corchado, Manuel Graρa, Alexandre Manhaes Savio (Eds.), Hybrid Artificial Intelligence Systems, Proceedings, Part II of the 5th International Conference (HAIS ’10), San Sebastiαn, Spain, 23-25 June 2010, pp. 410-417. Springer-Verlag, series: Lecture Notes in Artificial Intelligence (LNAI), vol. 6077.

[Σ#68]       C.C. Marinagi, V.G. Kaburlasos, “Web-based adaptive self-assessment of Greek higher education students: students’ perspective”, Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN 12), Barcelona, Spain, 2-4 July 2012. IATED Publications, pp. 2439-2448.

[Σ#69]       S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, “Fuzzy lattice reasoning (FLR) classifier for human facial expression recognition”, Proceedings of the 10^th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012), Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 633-638.

[Σ#70]       A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, “A study on fuzzy D-implications”, Proceedings of the 10^th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012), Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 708-713.

[Σ#71]       T. Pachidis, V.G. Kaburlasos, “Person identification based on lattice computing k-nearest-neighbor fingerprint classification”, 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2012), San Sebastiαn, Spain, 10-12 September 2012, Advances in Knowledge-Based and Intelligent Information and Engineering Systems. IOS Press, 2012, Manuel Graρa, Carlos Toro, Jorge Posada, R. J. Howlett, L. C. Jain (Eds.), pp. 1720-1729.

[Σ#72]       V.G. Kaburlasos, “Fuzzy lattice reasoning (FLR) extensions to lattice-valued logic”, 16th Panhellenic Conference on Informatics (PCI 2012), Piraeus, Greece, 5-7 October 2012. IEEE 2012 Copyright, Dimitrios D. Vergados, Costas Lambrinoudakis (Eds.), pp. 445-448.

[Σ#73]       V.G. Kaburlasos, G.A. Papakostas, T. Pachidis, A. Athinellis, “Intervals’ numbers (INs) interpolation /extrapolation”, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, 7-10 July 2013.

[Σ#74]       G.A. Papakostas, V.G. Kaburlasos, T. Pachidis, “Thermal infrared face recognition based on lattice computing (LC) techniques”, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, 7-10 July 2013.

[Σ#75]       V.T. Tsoukalas, V.G. Kaburlasos, C. Skourlas, “A granular, parametric KNN classifier”, 17th Panhellenic Conference on Informatics (PCI 2013), Thessaloniki, Greece, 19-21 September 2013, pp. 319-326.

[Σ#76]       G.A. Papakostas, V.G. Kaburlasos, “Lattice Computing (LC) meta-representation for pattern classification”, Proceedings of the World Congress on Computational Intelligence (WCCI) 2014, FUZZ-IEEE Program, Beijing, China, 6-11 July 2014, pp. 39-44.

[Σ#77]       V.G. Kaburlasos, V. Tsoukalas, L. Moussiades, “FCknn: a granular knn classifier based on formal concepts”, Proceedings of the World Congress on Computational Intelligence (WCCI) 2014, FUZZ-IEEE Program, Beijing, China, 6-11 July 2014, pp. 61-68.

[Σ#78]       J. Maiora, G.A. Papakostas, V.G. Kaburlasos, M. Graρa, “A proposal of texture features for interactive CTA segmentation by active learning”, KES International Conference on Innovation in Medicine and Healthcare (InMed-14), San Sebastian, Spain, 9-11 July 2014, pp. 311-320.

[Σ#79]       G.A. Papakostas, E.I. Papageorgiou, V.G. Kaburlasos, “Linguistic fuzzy cognitive map (LFCM) for pattern recognition”, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Istanbul, Turkey, 2-5 August 2015.

[Σ#80]       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, “Using neural networks and SVMs for automatic medical diagnosis: a comprehensive review”, International Conference on Integrated Information (IC-ININFO 2014), AIP Conf. Proc. 1644, 32-36 (2015); doi: 10.1063/1.4907814

[Σ#81]       V.G. Kaburlasos, T. Pachidis, G.A. Papakostas, M. Dimitrova, S. Kostova, I. Chavdarov, “Transformations from a symbol language to a sign language by a humanoid robot for blended learning: preliminary application results”, Proceedings of the International Association for Blended Learning Conference (IABL 2016), Kavala, Greece, 22-24 April 2016, pp. 142-145.

[Σ#82]       M. Dimitrova, A. Lekova, I. Chavdarov, S. Kostova, A. Krastev, C. Roumenin, V. Stancheva, A. Andreeva, V.G. Kaburlasos, T. Pachidis, “A multidisciplinary framework for blending robotics in education of children with special learning needs”, Proceedings of the International Association for Blended Learning Conference (IABL 2016), Kavala, Greece, 22-24 April 2016, pp. 152-155.

[Σ#83]       A. Amanatiadis, V.G. Kaburlasos, Ch. Dardani, S.A. Chatzichristofis, “Interactive social robots in special education”, Proceedings of the 2017 IEEE 7th International Conference on Consumer Electronics – Berlin (ICCE-Berlin), Berlin, Germany, 3-6 September 2017, pp. 210-213.

[Σ#84]       V.G. Kaburlasos, Ch. Dardani, M. Dimitrova, A. Amanatiadis, “Multi-robot engagement in special education: a preliminary study in autism”, Proceedings of the 36th IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 12-15 January 2018, pp. 995-996.

[Σ#85]       V. Kaburlasos, C. Bazinas, G. Siavalas, G. Papakostas, “Linguistic social robot control by crowd-computing feedback”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B13.

[Σ#86]       C. Lytridis, E. Vrochidou, V. Kaburlasos, “Emotional speech recognition toward modulating the behavior of a social robot”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1A1-B14.

[Σ#87]       M. Graρa, M. Dimitrova, V. Kaburlasos, “CybSPEED project description: aims and means”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1P1-A13.

[Σ#88]       G. Papakostas, G. Sidiropoulos, M. Bella, V. Kaburlasos, “Social robots in special education: current status and future challenges”, No. 18-2, Proceedings of the 2018 JSME Conference on Robotics and Mechatronics (ROBOMECH 2018), Kitakyushu, Japan, 2-5 June 2018, poster 1P1-A15.

[Σ#89]       C. Lytridis, E. Vrochidou, S. Chatzistamatis, V. Kaburlasos, “Social engagement interaction games between children with autism and humanoid robot NAO”, Proceedings of the 9th International Conference on EUropean Transnational Educational (ICEUTE’18), San Sebastian, Spain, 6-8 June 2018. In: Graρa M. et al. (eds) International Joint Conference SOCO’18-CISIS’18-ICEUTE’18. SOCO’18-CISIS’18-ICEUTE’18 2018. Advances in Intelligent Systems and Computing (AISC), vol 771, pp. 562-570, 2019. Springer, Cham.

[Σ#90]       T. Pachidis, E. Vrochidou, V.G. Kaburlasos, S. Kostova, M. Bonković, V. Papić, “Social robotics in education: state-of-the-art and directions”, Proceedings of the 27th International Conference on Robotics in Alpe-Adria-Danube Region (RAAD 2018), Patras, Greece, 6-8 June 2018.

[Σ#91]       G.A. Papakostas, V.G. Kaburlasos, “Modeling in cyber-physical systems by lattice computing techniques: the case of image watermarking based on intervals’ numbers”, Proceedings of the World Congress on Computational Intelligence (WCCI) 2018, FUZZ-IEEE Program, Rio de Janeiro, Brazil, 8-13 July 2018, pp. 491-496.

[Σ#92]       E. Vrochidou, M. Manios, V. G. Kaburlasos, F. Panagiotopoulos, C. Aitsidis, V. Ferelis, “Design of social robots using open-source robotic platforms”, Proceedings of the International Conference on Robotics & Mechatronics and Social Implementations, Varna, Bulgaria, 28 August – 01 September 2018, pp. 21-26.

2018. Vrochidou, M. Manios, V. G. Kaburlasos, F. Panagiotopoulos, Ch. Aitsidis, V. Ferelis, “Design of social robots using open-source robotic platforms”, Complex Control Systems (an Open Access journal, http://ir.bas.bg/ccs/index.html ), vol. 1, pp. 21-26, 2018.

[Σ#93]       M. Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, “Towards social cognitive neuropsychology account of human-robot interaction”, Proceedings of the International Conference on Robotics, Mechatronics and Social Implementation, Varna, Bulgaria, 28 August – 01 September 2018, pp. 12-16.

2018. Dimitrova, H. Wagatsuma, V. Kaburlasos, A. Krastev, I. Kolev, “Towards social cognitive neuropsychology account of human-robot interaction”, Complex Control Systems (an Open Access journal, http://ir.bas.bg/ccs/index.html ), vol. 1, pp. 12-16, 2018.

[Σ#94]       S. Kostova, M. I. Dimitrova, S. Saeva, M. Zamfirov, V. Kaburlasos, E. Vrochidou, M. Bonković, T. Pachidis, S. Kružić, T. Marasović, J. Musić, V. Papić, “Identifying needs of robotic and technological solutions for the classroom”, Proceedings of the 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), Symposium on: Robotic and ICT assisted wellbeing, Split, Croatia, 13-15 September 2018.

[Σ#95]       A. Amanatiadis, V. Kaburlasos, E. Kosmatopoulos, “Understanding deep convolutional networks through gestalt theory”, Proceedings of the 2018 IEEE International Workshop on Imaging Systems & Techniques (IST 2018), Krakσw, Poland, 16-18 October 2018, pp. 312-317.

[Σ#96]       A. Amanatiadis, V. Kaburlasos, E. Kosmatopoulos, “Interpolation kernels in fully convolutional networks and their effect in robot vision tasks”, Proceedings of the 2018 IEEE International Workshop on Imaging Systems & Techniques (IST 2018), Krakσw, Poland, 16-18 October 2018, pp. 232-236.

[Σ#97]       C. Lytridis, C. Bazinas, G. A. Papakostas, V. Kaburlasos, “On measuring engagement level during child-robot interaction in education”, Proceedings of the 10th International Conference on Robotics in Education (RiE), Vienna, Austria, 10-12 April 2019. In: Robotics in Education – Current Research and Innovations, M. Merdan, W. Lepuschitz, G. Koppensteiner, R. Balogh, D. Obdržαlek (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.

[Σ#98]       V. G. Kaburlasos, E. Vrochidou, F. Panagiotopoulos, Ch. Aitsidis, A. Jaki, “Time series classification in cyber-physical system applications by intervals’ numbers techniques”, Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans, Louisiana, USA, 23-26 June 2019.

[Σ#99]       C. Lytridis, E. Vrochidou, G. Sidiropoulos, G. A. Papakostas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, “Audio signal recognition based on Intervals’ Numbers (INs) classification techniques”, Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019), Patras, Greece, 15-17 July 2019.

[Σ#100]    C. Lytridis, V. Vassileva-Aleksandrova, M. Youssfi, C. Bazinas, V. Ferelis, A. Jaki, M. Mestari, V. G. Kaburlasos, “Social robots as cyber-physical actors in entertainment and education”, Proceedings of the 27th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2019), Symposium on: Robotic and ICT Assisted Wellbeing, Split, Croatia, 19-21 September 2019.

[Σ#101]    A. Jaafar, Y. Illoussamen, E. Vrochidou, T. Pachidis. V. G. Kaburlasos, M. Mestari, “Multi-agent parallel implementation to solve nonlinear equality constrained multiobjective optimization problem – Case of unmanned aerial vehicle (UAV)”, Proceedings of the 3rd International Conference on Intelligent Computing in Data Sciences (ICDS 2019), Marrakech, Morocco, 28-30 October 2019.

[Σ#102]    V. Holeva, V.-A. Nikopoulou, M. Papadopoulou, E. Vrochidou, G. A. Papakostas, V. G. Kaburlasos, “Toward robot-assisted psychosocial intervention for children with autism spectrum disorder (ASD)”, 11th International Conference on Social Robotics (ICSR 2019), Madrid, Spain, 26-29 November 2019. In: M. A. Salichs, S. S. Ge, E. Barakova, J-.J. Cabibihan, A. R. Wagner, Α. Castro-Gonzαlez, 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. https://doi.org/10.1007/978-3-030-35888-4

[Σ#103]    Μ. Παπαδοπούλου, Β. Χολέβα, Β.Α. Νικοπούλου, Π. Κεχαγιάς, Γ.Α. Παπακώστας Χ. Μπαζίνας, Χ.Ι. Παπαδοπούλου, Β. Καμπουρλάζος, Α. Ευαγγελίου, “Παρουσίαση του προγράμματος ‘ΚοιΡο3Ε’: Κοινωνικά Ρομπότ ως Εργαλεία στην Ειδική Εκπαίδευση”, Πανελλήνιο Παιδονευρολογικό Συνέδριο, Λίμνη Πλαστήρα, Καρδίτσα, 7-8 Μαρτίου 2020. Βιβλίο Περιλήψεων, σελ. 14.

[Σ#104]    V.G. Kaburlasos, V. Holeva, M. Papadopoulou, C. Dardani, P. Kechayas, C. Lytridis, C. Bazinas, V. A. Nikopoulou, “A feasibility study to evaluate the application of a robot-assisted ASD intervention in Greece”, Proceedings of the International Society for Autism Research (INSAR) 2020 Annual Meeting, May 6-9 (scheduled), Seattle, Washington, USA, poster 448.001 uploaded June 3, 2020.

[Σ#105]    C. Dardani, V.G. Kaburlasos, A. Amanatiadis, “Enhancing the applications of interactive social robots in educational interventions for autism spectrum disorders: a research initiative in Greece”, Proceedings of the International Society for Autism Research (INSAR) 2020 Annual Meeting, May 6-9 (scheduled), Seattle, Washington, USA, poster 448.012 uploaded June 3, 2020.

[Σ#106]    T. Kalampokas, K. Tziridis, A. Nikolaou, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. “Semantic segmentation of vineyard images using convolutional neural networks”, 21st International Conference on Engineering Applications of Neural Networks (EANN 2020), 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

[Σ#107]    M. Youssfi, O. Bouattane, V. Kaburlasos, G. Papakostas, “Generic distributed polymorphic learning model for a community of heterogeneous cyber physical social robots in MAS environment and GPU architecture”, 4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020), Fez, Morocco, 9-11 June 2020.

[Σ#108]    F. Ezzahra Ezzrhari, H. Bensag, M. Youssfi, O. Bouattane, V. Kaburlasos, “Scalable multi agent system middleware for HPC of big data applications”, 4th International Conference on Intelligent Systems and Computer Vision (ISCV 2020), Fez, Morocco, 9-11 June 2020.

[Σ#109]    V.G. Kaburlasos, invited speaker, “The Lattice Computing (LC) paradigm”. In: Francisco J. Valverde-Albacete, Martin Trnecka (Eds.), Proceedings of the 15th International Conference on Concept Lattices and their Applications (CLA 2020), Tallinn, Estonia, 29 June – 1 July 2020, pp. 1-8. http://ceur-ws.org/Vol-2668/ (Open Access)

[Σ#110]    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, “Toward big data manipulation for grape harvest time prediction by intervals’ numbers techniques”, World Congress on Computational Intelligence (WCCI) 2020, International Joint Conference on Neural Networks (IJCNN 2020) Program, Glasgow, Scotland, UK, 19-24 July 2020.

[Σ#111]    E. Badeka, E. Vrochidou, K. Tziridis, A. Nicolaou, G. A. Papakostas, T. Pachidis. V.G. Kaburlasos, “Navigation route mapping for harvesting robots in vineyards using UAV-based remote sensing”, Proceedings of the 10^th IEEE International Conference on Intelligent Systems (IS‘20), Varna, Bulgaria, 28-30 August 2020, pp. 171-177.

[Σ#112]    T. Pachidis, C. Sgouros, V. G. Kaburlasos, E. Vrochidou, T. Kalampokas, K. Tziridis, A. Nikolaou, G. A. Papakostas, “Forward kinematic analysis of JACO2 robotic arm towards implementing a grapes harvesting robot”, 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), Hvar, Croatia, 17-19 September 2020.

[Σ#113]    C. Lytridis, C. I. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, V.-A. Nikopoulou, M. D. Kerasidou, N. Dalivigkas, “Robot-assisted Autism Spectrum Disorder (ASD) interventions: a multi-robot approach”, 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), Hvar, Croatia, 17-19 September 2020.

[Σ#114]    V. G. Kaburlasos, C. Lytridis, C. Bazinas, S. Chatzistamatis, K. Sotiropoulou, A. Najoua, M. Youssfi, O. Bouattane, “Head pose estimation using lattice computing techniques”, 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), Hvar, Croatia, 17-19 September 2020.

[Σ#115]    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, “Identifying the technological needs for developing a grapes harvesting robot: operations and systems”, 9th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2020). Thessaloniki, Greece, 24-27 September 2020, pp. 105-113. http://ceur-ws.org/Vol-2761/ (Open Access)

[Σ#116]    G. K. Sidiropoulos, C. Bazinas, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, P. Kechayas, E. Kourampa, S.-R. Katsi, H. Karatsioras, “Synergy of intelligent algorithms for efficient child-robot interaction in special education: a feasibility study”, 11th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 30 September – 2 October 2020.

[Σ#117]    R. Efstratiou, H. Karatsioras, M. Papadopoulou, C. Papadopoulou, C. Lytridis, C. Bazinas, G. A. Papakostas, V. G. Kaburlasos, “Teaching daily life skills in Autism Spectrum Disorder (ASD) interventions using the social robot Pepper”, 11th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 30 September – 2 October 2020.

[Σ#118]    E. Bouloumpasi, S. Theocharis, A. Karampatea, S. Pavlidis, S. Mamalis, S. Koundouras, T. Merou, E. Vrochidou, T. Pachidis, M. Manios, G. Papakostas, V. Kaburlasos, “Exploration of viticultural tasks to be performed by autonomous robot: possibilities and limitations”, Proceedings of the 11th International Scientific Agriculture Symposium (AGROSYM 2020), Jahorina, Bosnia and Herzegovina, 8-11 October 2020, pp.56-61.

[Σ#119]    E. Badeka, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “Harvest crate detection for grapes harvesting robot based on YOLOv3 model”, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020.

[Σ#120]    V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. A. Papakostas, A. Naji, M. Hicham Zaggaf, K. Mansouri, M. Qbadou, M. Mestari, “Structured human-head pose representation for estimation using fuzzy lattice reasoning (FLR)”, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020.

[Σ#121]    A. Fentis, C. Lytridis, V. G. Kaburlasos, E. Vrochidou, T. Pachidis, E. Bahatti, M. Mestari, “A machine learning based approach for next-day photovoltaic power forecasting”, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020.

[Σ#122]    G. K. Sidiropoulos, G. A. Papakostas, C. Lytridis, C. Bazinas, V. G. Kaburlasos, E. Kourampa, E. Karageorgiou, “Measuring engagement level in child-robot interaction using machine learning based data analysis”, IEEE International Conference on Data Analytics for Business and Industry (ICDABI 2020), 26-27 October 2020, Bahrain.

[Σ#123]    E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “Real-time vineyard trunk detection for a grapes harvesting robot via deep learning”, 13th International Conference on Machine Vision (ICMV 2020), Rome, Italy, 2-6 November 2020.

[Σ#124]    K. Tziridis, A. Nikolaou, T. Kalampokas, E. Vrochidou, T. Pachidis, G. A. Papakostas, V. G. Kaburlasos, “Information management and monitoring system for a grapes harvesting robot”, International Scientific Conference of Communications, Information, Electronic and Energy Systems (CIEES 2020), Borovets, Bulgaria, 26-29 November 2020.

[Σ#125]    A. Lekova, T. Tanev, S. Kostova, V. Kaburlasos, “Lightweight framework for interconnecting virtual and real things via Node-RED”, Industry 4.0 (I4) V International Scientific Conference – Winter Session (I4 2020), Borovets, Bulgaria, 9-12 December 2020.

4. Lekova, T. Tanev, S. Kostova, V. Kaburlasos, “Lightweight framework for interconnecting virtual and real things via Node-RED”, International Scientific Journal “Industry 4.0” (an Open Access journal, https://stumejournals.com/i4.htm ), vol. 5, iss. 5, pp. 202-205, 2020.

[Σ#126]    E. Karageorgiou, E. Kourampa, A.-T. Papanikolaou, P. Kechayas, E. Avramidou, R.-A. Sabri, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, “Development of educational scenarios for child-robot interaction: The case of learning disabilities”, 12th International Conference on Robotics in Education (RiE), Bratislava, Slovakia, 28 – 30 April 2021.

[Σ#127]    V. Holeva, P. Kechayas, V.A. Nikopoulou, M.  Kerasidou, M. Papadopoulou, A.C. Bazinas, C. Lytridis, V.G. Kaburlasos, A. Evangeliou, “The effects of a robot-assisted intervention for children with autism spectrum disorder on affect recognition and theory of mind”, Proceedings of the International Society for Autism Research (INSAR) 2021 Annual Meeting, May 5-8, Boston, MA, USA, poster ID – 37057.

[Σ#128]    E. Vrochidou, C. Bazinas, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “A review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation”, 13th EFITA (European Federation for Information Technology in Agriculture, Food and Environment) International Conference, 25-26 May 2021. In: MDPI Engineering Proceedings 2021, 9 (1), 2; https://www.mdpi.com/2673-4591/9/1/2 (Open Access)

[Σ#129]    C. Bazinas, E. Vrochidou, C. Lytridis, V. G. Kaburlasos, “Time-series of distributions forecasting in agricultural applications: an intervals’ numbers approach”, 7th International Conference on Time Series and Forecasting (ITISE 2021), Gran Canaria, Spain, 19-21 July 2021. In: MDPI Engineering Proceedings 2021, 5 (1), 12; https://www.mdpi.com/2673-4591/5/1/12 (Open Access)

[Σ#130]    V. Holeva, V. A. Nikopoulou, P. Kechayas, M. D. Kerasidou, M. Papadopoulou, G. A. Papakostas, V. G. Kaburlasos, A. Evangeliou, “Robot-assisted relaxation training for children with autism spectrum disorders”, Proceedings of the International Conference on Psychology and Behavioral Sciences (ICPBS002 2021), Singapore, 9-10 September 2021.

[Σ#131]    L. C. Karathanasi, C. Bazinas, G. Iordanou, V. G. Kaburlasos, “A study on text classification for applications in special education”, 29th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2021), Hvar, Croatia, 23-25 September 2021.

[Σ#132]    C. Lytridis, V. G. Kaburlasos, C. Bazinas, G. A. Papakostas, C. I. Papadopoulou, V. A. Nikopoulou, “A software toolbox for behavioral analysis in robot-assisted special education”, 29th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2021), Hvar, Croatia, 23-25 September 2021.

[Σ#133]    C. Bazinas, E. Vrochidou, C. Lytridis, V.G. Kaburlasos, “Yield estimation in vineyards using intervals’ numbers techniques”, 25th Panhellenic Conference on Informatics (PCI 2021), Volos, Greece, 26-28 November 2021, pp. 454-459. https://doi.org/10.1145/3503823.3503906 (ACM Digital Library)

[Σ#134]    M. Papadopoulou, V. Choleva, V. A. Nikopoulou, P. Kechayas, G. A. Papakostas, C. Bazinas, C. I. Papadopoulou, V. Kaburlasos, A. Evangeliou, “Presentation of the project ‘SRTSE’: social robots as tools in special education”, 48th Sociιtι Europιenne de Neurologie Pιdiatrique (SENP), Lausanne, Suisse, 17-19 March 2022.

[Σ#135]    M.T. Papadopoulou, V.A. Nikopoulou, V. Holeva, P. Kechayas, G.A. Papakostas, N. Geronikola, C. Bazinas, C. Lytridis, V. Kaburlasos, A. Evangeliou, “Social robots as tools in special education (the ‘SRTSE’ project): a randomized case-control study on robot-assisted therapy for children with Autism Spectrum Disorder (ASD)”, 14th European Paediatric Neurology Society (EPNS) Congress, Glasgow, Scotland, UK, 28 April – 2 May 2022, poster PO14-216.

[Σ#136]    V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, “Chapter 25. The Lattice Computing Paradigm for Modeling Intelligence in Cyber-Physical Systems”, Proceedings of the Basque Conference on Cyber-Physical Systems and Artificial Intelligence, San Sebastian, Spain, 18-19 May 2022, pp. 213-229. DOI 10.5281/zenodo.6562355.

[Σ#137]    V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, “Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions”, In: S. Dick, V. Kreinovich, P. Lingras, (eds) Applications of Fuzzy Techniques – Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS 2022), Halifax, Nova Scotia, Canada, 31 May – 3 June 2022. Lecture Notes in Networks and Systems (LNNS), vol. 500, pp. 90-100. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_10

[Σ#138]    P. Delias, L. Moussiades, V. G. Kaburlasos, “Potentials for decision support in business processes through a multi-layer network embeddings approach”, 32nd EURO Conference, Espoo, Finland, 3-6 July 2022, p. 191.

[Σ#139]    V. G. Kaburlasos, “Robot intelligence technology for skillful viniculture based on the lattice computing paradigm”, International Meet & Expo on Robot Intelligence Technology and Applications (ROBOTMEET2022), Edinburgh, Scotland, 18-20 August 2022.

[Σ#140]    V. G. Kaburlasos, C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, “Fuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest”, In: Qinglin Sun, Jie Lu, Xianyi Zeng, Etienne E. Kerre, Tianrui Li (Eds.), Proceedings of the 15^th International FLINS (Fuzzy Logic and Intelligent Technologies in Nuclear Science) Conference (FLINS 2022) on Machine Learning, Multi Agent and Cyber Physical Systems, Tianjin, China, 26-28 August 2022. World Scientific Proceedings Series on Computer Engineering and Information Science 13, pp. 80-87. (Best Paper Award). https://www.worldscientific.com/worldscibooks/10.1142/13231#t=toc

[Σ#141]    C. Chariskou, C. Bazinas, A. J. Daniels, U. L. Opara, H. H. Nieuwoudt, V. G. Kaburlasos, “Variable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection”, 30th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2022), Split, Croatia, 22-24 September 2022.

[Σ#142]    E. Vrochidou, C. Bazinas, E. Mavridou, T. Pachidis, S. Mamalis, S. Koundouras, T. Gkrimpizis, V. G. Kaburlasos, “Considerations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards”, 10th International Conference on Information and Communication Technologies in Agriculture, Food & Environment (HAICTA 2022), Athens, Greece, 22-25 September 2022, pp. 45-51. https://ceur-ws.org/Vol-3293/ (Open Access). Proceedings ebook: https://www.haicta.gr/ebooks.html

[Σ#143]    M. Tsolaki, V. G. Kaburlasos, C. Lytridis, C. Bazinas, G. Siavalas, “Social robots for pedagogical rehabilitation in special education for the elderly”, 2nd Edition of Robot Intelligence Technology and Applications 2022 (V-RITA2022), Theme “Modification of Lifestyle by Innovation in Robot Intelligence Technology and Applications”, 21-22 October 2022.

[Σ#144]    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, “Technology-based regional wine development: A multi-purpose agrobot design for grape harvest automation”, European Association of Wine Economists (EuAWE) 2023 Conference. Chania, Crete, Greece, 28-31 May 2023.

[Σ#145]    E. Bouloumpasi, A. Karampatea, E. Karapatzak, S. Theocharis, E. Tziolas, C. Lytridis, T. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, “An autonomous multi-agrobot design for skillful vinicultural tasks”, 44th World Congress of Vine and Wine (Theme: Vitiviniculture and Information Technologies) and the 21th General Assembly of the International Organisation of Vine and Wine (OIV). Cadiz, Spain, 5-9 Jun 2023.

[Σ#146]    V. G. Kaburlasos, C. Lytridis, G. Siavalas, V. N. Tsakalidou, C. Tsakmakis, I. Kalathas, T. Pachidis, K. Rantos, K. Kalaboukas, “Skilled agricultural task delivery by a digital twin”, Proceedings of the 2023 IEEE Conference on Artificial Intelligence (IEEE CAI 2023). 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]

[Σ#147]    C. Bazinas, C. Lytridis, V. G. Kaburlasos, “Meta-statistical deep learning for stochastic time-series prediction in agricultural applications”, International Joint Conference on Neural Networks (IJCNN 2023). 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  www.sciencedirect.com

[Σ#148]    V. G. Kaburlasos, “Computing with Semantics”, Artificial Intelligence Summit 2025 and Artificial Intelligence Conference 2025. Athens, Greece, 18-19 January 2025. https://tinyurl.com/athens-gr

[Σ#149]    G. Siavalas, V. Kaburlasos, “Support of elderly people with cognitive impairment by companion robots”, Proceedings of the 6th Mediterranean Conference on Neurodegenerative Diseases, p. 59. Thessaloniki, Greece, 13-16 February 2025. https://www.alzheimer-conference.gr/index.php/en/ (Η περίληψη αναμένεται να δημοσιευτεί στο επιστημονικό περιοδικό NeuroSci με Impact Factor: 1.6)

Technical Reports (TR)

[ΤΕ#1]      Β.Γ. Καμπουρλάζος, “Συγκριτική αξιολόγηση τριών αλγόριθμων δρομολόγησης τηλεφωνικής κινήσεως με απώλειες”, Εθνικό Μετσόβιο Πολυτεχνείο, Άνοιξη 1987.

[ΤΕ#2]      O. Kosheleva, V. G. Kaburlasos, V. Kreinovich, R. Tansuchat, “Why quantile regression works well in economics: a partial explanation”, University of Texas at El Paso, ScholarWorks@UTEP, Departmental Technical Reports, Computer Science, 6-1-2022.

Books - Book Chapters

1. [Kaza07] Kazarlis “Combinatorial Hill Climbing Using Micro-Genetic Algorithms”, 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.
2. [KaBa15] Kazarlis, A. Bakirtzis, “CHAPTER 19 GENETIC ALGORITHMS”, Mircea Eremia, Abdel-Aty Edris, and Chen-Ching Liu Eds. – Advanced Solutions in Power Systems: HVDC, FACTS and Artificial Intelligence, John Wiley & Sons Inc, October 2016, ISBN: 9781119035695.

Journals

1. [BaPK94] Bakirtzis, V. Petridis, S. Kazarlis, “A Genetic Algorithm Solution to the Economic Dispatch Problem,” IEE Proceedings – Generation, Transmission, Distribution, Vol. 141, No. 4, July 1994, pp. 377-382.
2. [KaBP96] A. Kazarlis, A.G. Bakirtzis, V. Petridis, “A Genetic Algorithm Solution to the Unit Commitment Problem,” IEEE Transactions on Power Systems, Vol. 11, No. 1, February 1996, pp. 83-92.
3. [Kaza96] Spyros A. Kazarlis “Application of Genetic Algorithms to the Economic Dispatch Problem in Electric Power Production,” EvoNews, Vol. 1, Issue 2, Special Issue: Industrial Applications of Evolutionary Computing, Dept. of Print Services, Napier University, December 1996, pp.7-9.
4. [Kaza96b] Spyros A. Kazarlis “Application of Genetic Algorithms on the Unit Commitment Problem in Electric Power Production,” EvoNews, Vol. 1, Issue 2, Special Issue: Industrial Applications of Evolutionary Computing, Dept. of Print Services, Napier University, December 1996, pp.14-16.
5. [PeKB97] Petridis, S. Kazarlis and A. Bakirtzis, “Varying Fitness Functions in Genetic Algorithm Constrained Optimization: The Cutting Stock and Unit Commitment Problems,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 28, Part B, No. 5, October 1998, pp. 629-640.
6. [KaPTP01] Kazarlis, S.Papadakis, J.Theocharis and V.Petridis, “Micro-Genetic Algorithms as Generalized Hill Climbing Operators for GA Optimization,” IEEE Transactions on Evolutionary Computation, Vol. 5, No. 3, June 2001, pp. 204-217.
7. [KSPPKMK02] Kaburlasos VG, Spais V, Petridis V, Petrou L, Kazarlis S, Maslaris N, and Kallinakis A, “Intelligent Clustering Techniques for Prediction of Sugar Production”, IMACS Transactions on Mathematics and Computers in Simulation (by Elsevier Science) – Special Issue on Intelligent Forecasting, Fault Diagnosis, and Control, vol. 60, 2002, pp. 159-168.
8. [PeKK02] Petridis, S. Kazarlis, V. Kaburlasos, “ACES, An Interactive Software Platform for Self-Instruction and Self-Evaluation in Automatic Control Systems,” IEEE Transactions on Education, Vol. 46, No. 1, February 2003, pp. 102-110.
9. [KaKaKa] A. Kazarlis, J. Kalomiros, and V. Kalaitzis, “A Cartesian Genetic Programming Approach for Evolving Optimal Digital Circuits”, Journal of Engineering Science and Technology Review (JESTR), Vol. 9, Issue 5, 2016, pp.88-92.
10. [Kaza24] Spyridon A. Kazarlis, “Intelligent Car Park Assist Using Fish Swarm Algorithm,” Engineering World, vol. 6, pp. 188-194, 2024, DOI:10.37394/232025.2024.6.20

Conferences

1. [LaDK88] P. Lambros, R. Dotcheva, S. Kazarlis, “Simulation Methods for a Telecommunication Network”, Proceedings of the 5^th International Conference on Telecommunications “Improvements of Technological Processes in Telecommunications” (TELECOM ’88), Varna, Bulgaria, October 6-8, 1988.
2. [PeKPF92] Petridis, S.Kazarlis, A.Papaikonomou and A. Filelis, “A Hybrid Genetic Algorithm for Training Neural Networks,” Proceedings of the 2^nd International Conference on Artificial Neural Networks (ICANN ’92), Sep. 1992, Brighton England, vol. 2, p.p. 953-956.
3. [PeKP93] Petridis, S.Kazarlis and A.Papaikonomou, “A Genetic Algorithm for Training Recurrent Neural Networks,” Proceedings of the 1993 International Joint Conference on Neural Networks (IJCNN ’93), Oct. 1993, Nagoya Japan, vol. 3, pp. 2706-2709.
4. [PeKa94] Petridis and S. Kazarlis, “Varying Quality Function in Genetic Algorithms and the Cutting Problem,” Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE Service Center, 1994, Vol. 1, pp. 166-169.
5. [KaBP95a] A. Kazarlis, A.G. Bakirtzis, V. Petridis, “A Genetic Algorithm Solution to the Unit Commitment Problem,” presented in the 1994-95 IEEE/PES Winter Meeting, 152-9 PWRS, New York, January 1995.
6. [KaBP95b] A. Kazarlis, A.G. Bakirtzis, V. Petridis, “A Genetic Algorithm Solution to the Unit Commitment Problem,” Workshop on Contemporary Problems in Power Engineering, Thessaloniki Greece, 11-12 April 1995, pp. 285-298.
7. [KaBP97] Kazarlis, A. Bakirtzis and V. Petridis, “Βέλτιστη Ένταξη Μονάδων Παραγωγής με Γενετικούς Αλγόριθμους (Optimal Unit Commitment Using Genetic Algorithms),” presented at the CIGRE Greek National Committee, Athens, Greece, 4-5 Dec. 1997.
8. [AdKP98] Adamidis, S. Kazarlis, V. Petridis, “Advanced Methods for Evolutionary Optimisation,” 8th IFAC/IFORS/IMACS/IFIP Symposium Large Scale Systems Theory & Applications – LSS’98 (Invited Session on Evolutionary Algorithms), Patras, Greece, July 15-18, 1998.
9. [KaPe98] Kazarlis and V. Petridis, “Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms,” Proceedings of the 5^th International Conference on Parallel Problem Solving from Nature (PPSN-V), Amsterdam, 27-30 September 1998, pp. 211-220.
10. [PeKK00] Petridis, V.Kaburlazos, S. Kazarlis, “Προσομοίωση και Υπερ-κείμενο. Λογισμικό Εξάσκησης σε Συστήματα Πραγματικού Χρόνου (ΠΥΛΕΣ),” Πανελλήνιο Συνέδριο : Έρευνα για την Ελληνική Εκπαίδευση με χορηγό το Κέντρο Εκπαιδευτικής Έρευνας (Κ.Ε.Ε.) του Υπουργείου Εθνικής Παιδείας & Θρησκευμάτων, Αθήνα, 21-23 Σεπτεμβρίου 2000, Περιλήψεις Εισηγήσεων: σελ. 200-206.
11. [PePKSK01] V. Petridis, L. Petrou, V.G. Kaburlasos, V. Spais, and S. Kazarlis, “Models for Predicting Sugar Production in Greece,” Πρακτικά Πανελληνίου Συνεδρίου Αυτοματισμού, Ρομποτικής και Βιομηχανικής Παραγωγής – Ο Ρόλος της Τεχνολογίας Πληροφοριών, Σαντορίνη, 28-30 Ιουνίου 2001.
12. [KSPPKMK01] V.G. Kaburlasos, V. Spais, V. Petridis, L. Petrou, S. Kazarlis, N. Maslaris, and A. Kallinakis, “Intelligent Clustering Techniques for Prediction of Sugar Production,” Proceedings of the European Workshop on Intelligent Forecasting, Diagnosis and Control, Santorini, Greece, 24-28 June 2001.
13. [Kaza02] A. Kazarlis, “Micro-Genetic Algorithms As Generalized Hill-Climbing Operators for GA Optimization of Combinatorial Problems – Application to Power Systems Scheduling”, Proceedings of the 4^th Conference on Technology and Automation, October 2002, Thessaloniki, Greece (Dept.of Automation, A.T.E.I. of Thessaloniki, Greece), pp. 300-305.
14. [KaKa02] G. Kaburlazos, S. Kazarlis, “σ-FLNMAP with Voting (σFLNMAPwV): A Genetically Optimized Ensemble of Classifiers With the Capacity to Deal With Partially-Ordered, Disparate Types of Data – Application to Financial Problems”, Proceedings of the 4^th Conference on Technology and Automation, October 2002, Thessaloniki, Greece (Dept.of Automation, A.T.E.I. of Thessaloniki, Greece), pp. 276-281.
15. [KaPK03] G. Kaburlazos, S.E. Papadakis, S. Kazarlis, “A genetically Optimized Ensemble of s-FLNMAP Neural Classifiers Based on Non-Parametric Probability Distribution Functions”, Proceedings of the IEEE International Joint Conference on Neural Networks 2003 (IJCNN 2003), July 20-24, Portland, Oregon, USA, pp. 426-431.
16. [KaPF05] Kazarlis, V. Petridis and P. Fragkou, “Solving University Timetabling Problems Using Advanced Genetic Algorithms,” Proceedings of the 5th International Conference on Technology and Automation (ICTA’05), Thessaloniki, Greece, 15-16 Oct, 2005, pp. 131-136.
17. [Ka06] Kazarlis, “Combinatorial Hill Climbing Using Micro-Genetic Algorithms”, Proceedings of the CISSE 2006 International Conference on Computer, Information, and Systems Sciences, and Engineering, Dec 4-14 2006.
18. [Ka07]   Spyros A. Kazarlis, “Constraint Handling Methods in Genetic Algorithms”, Proceedings of the 11th PANHELLENIC CONFERENCE IN INFORMATICS (PCI 2007), MAY 18-20, 2007, University of Patras, Patras, Greece, Vol. A, pp. 591-606.
19. [KaPAFS07] Σ. Καζαρλής, Β. Πετρίδης, Π. Αδαμίδης, Π. Φράγκου, Μ. Σαββόπουλος, “Βέλτιστη  Παραγωγή Ωρολόγιων Προγραμμάτων με χρήση μεθόδων Εξελικτικής Υπολογιστικής”, Πρακτικά του 2ου ΠΑΝΕΛΛΗΝΙΟΥ ΣΥΝΕΔΡΙΟΥ ΜΗΧΑΝΟΛΟΓΩΝ ΗΛΕΚΤΡΟΛΟΓΩΝ, ΑΘΗΝΑ, Αρ.Εργ.Β-30, Συνεδρία Β-5, Σελ. 69, 16-18 Μαΐου 2007
20. [KaPAF07] Spyros Kazarlis, Vassilios Petridis, Panagiotis Adamidis, Paulina Fragkou, “Evolutionary Timetabling with a Priority-Based Indirect Representation”, Proceedings of the 22^nd European Conference on Operational Research, EURO XXII, Prague, July 8-11, 2007, Session TC-21, p.140.
21. [AdVK07] Panagiotis Adamidis, Michail Vrettas, Spyros Kazarlis, “Exam Timetabling with Parallel Evolutionary Algorithms: Comparison of Different Selection Methods”, Proceedings of the 22^nd European Conference on Operational Research, EURO XXII, Prague, July 8-11, 2007, Session TC-21, p.140.
22. [CKRM14] Hilas, S. Kazarlis, I. Rekanos, P. Mastorocostas,, “A Genetic Programming Approach to Telecommunications Fraud Detection and Classification,” Proceedings of International Conference on Circuits, Systems, Signal Processing, Communications and Computers, Venice, Italy, pp. 77-83, March 2014.
23. [KKMPBKV14] S. Kazarlis, J. Kalomiros, P. Mastorocostas, V. Petridis, A. Balouktsis, V. Kalaitzis, A Valais, “A Method for Simulating Digital Circuits for Evolutionary Optimization,” Proceedings of the 10th Annual International Joint Conferences on Computer, Information, Systems Sciences, and Engineering (CISSE 2014), December 12-14, 2014.
24. [KKBK15]         Kazarlis, J. Kalomiros, A. Balouktsis and V. Kalaitzis, “Evolving Optimal Digital Circuits Using Cartesian Genetic Programming With Solution Repair Methods”, Proceedings of the 2015 International Conference on Systems, Control, Signal Processing and Informatics (SCSI 2015), Barcelona, Spain, April 7-9, 2015, pp. 39-44.
25. [KaKK15]         A. Kazarlis, J. Kalomiros, and V. Kalaitzis, “A Cartesian Genetic Programming Approach for Evolving Optimal Digital Circuits”, in Proceedings of the 3^rd Panhellenic Conference on Electronics and Telecommunicaitons (PACET 2015), Ioannina, Greece, May 8-9, 2015.
26. [KKKBMBP15] S. Kazarlis, J. Kalomiros, V. Kalaitzis, D. Bogas, P. Mastorokostas, A. Balouktsis, and V. Petridis, “Reconfigurable Hyper-Structures for Intrinsic Digital Circuit Evolution”, 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.
27. [KKKBD15] S. Kazarlis, J. Kalomiros, V. Kalaitzis, A. Balouktsis, and D. Bogas, “Intrinsic Evolution of Digital Circuits Based on a Reconfigurable Hyper-Structure” in Proceedings of the IEEE EUROCON 2015 conference: International Conference on Computer as a Tool, Salamanca, Spain, September 8-11, 2015, pp. 340-345.
28. [Kaza20]           Kazarlis, “Παρουσίαση Ερευνητικών Δραστηριοτήτων και Ενδιαφερόντων του Τομέα”, 1^st Internal Conference on Research and Innovation, International Hellenic University, Thessaloniki, Greece, February 1-2, 2020.
29. [Kaza24] Kazarlis, “Intelligent Car Park Assist Using Fish Swarm Algorithm”, 8th International Conference on Mathematical Models & Computational Techniques in Science & Engineering, MMCTSE 2024, Athens, Greece, June 1-3, 2024, pp. ??-??

Work under review

1. [KaPe] S. Kazarlis and V. Petridis, “Constrained Optimisation Using Genetic Algorithms: A Survey,” submitted for publication in the IEEE Transactions on Evolutionary Computation.

Text Books

1. [SaKA01] Μ. Σαββόπουλος, Σ. Καζαρλής και Π. Αδαμίδης, “Λειτουργικά Συστήματα ΙΙ (UNIX)”, Επίσημες Σημειώσεις για το εργαστηριακό μάθημα «Λειτουργικά Συστήματα ΙΙ» του Ε’ Εξαμήνου του Τμήματος Πληροφορικής της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Θεσσαλονίκης, Τ.Ε.Ι. Θεσσαλονίκης, 2001.
2. [KaMD02] Σ. Καζαρλής, Ι. Μαδεμλής, Κ. Δομουχτσής, “Εργαστήριο Αρχιτεκτονικής Η/Υ – Σημειώσεις και Εργαστηριακές Ασκήσεις στον Μ/Ε 6502”, Επίσημες Σημειώσεις για το εργαστηριακό μάθημα «Αρχιτεκτονική Η/Υ» του Δ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2002.
3. [Kaza02] Σπύρος Καζαρλής, “Λειτουργικά Συστήματα Ι”, Επίσημες Σημειώσεις για το θεωρητικό μάθημα «Λειτουργικά Συστήματα Ι» του Β’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2002.
4. [Kaza02b] Σπύρος Καζαρλής, “Λειτουργικά Συστήματα ΙI”, Επίσημες Σημειώσεις για το θεωρητικό μάθημα «Λειτουργικά Συστήματα ΙI» του Γ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2002.
5. [Kaza02c] Σπύρος Καζαρλής, “Αρχιτεκτονική Η/Υ”, Επίσημες Σημειώσεις για το θεωρητικό μάθημα «Αρχιτεκτονική Η/Υ» του Δ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2002.
6. [Kaza02d] Σπύρος Καζαρλής, “Οπτικός Προγραμματισμός”, Επίσημες Σημειώσεις για το θεωρητικό μάθημα «Οπτικός Προγραμματισμός» του Ζ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2002.
7. [KaSa02] Σ. Καζαρλής και Μ. Σαββόπουλος,, “Λειτουργικά Συστήματα ΙΙ (UNIX)”, Επίσημες Σημειώσεις για το εργαστηριακό μάθημα «Λειτουργικά Συστήματα ΙΙ» του Γ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2002.
8. [Kaza03] Σπύρος Καζαρλής, “Οπτικός Προγραμματισμός – Εργαστήριο”, Επίσημες Σημειώσεις για το Εργαστηριακό μάθημα «Οπτικός Προγραμματισμός» του Ζ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Δεκέμβριος 2003.
9. [Kaza04] Σπύρος Καζαρλής, “Σημειώσεις Εργαστηρίου Αρχιτεκτονικής Υπολογιστών – Εκπαιδευτικό Σύστημα BGC-8088”, Επίσημες Σημειώσεις για το Εργαστηριακό μάθημα «Αρχιτεκτονική Η/Υ» του Δ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2004.

10 [Kaza05] Σπύρος Καζαρλής, “Εξελικτική Υπολογιστική”, Επίσημες Σημειώσεις για το θεωρητικό μάθημα «Εξελικτική Υπολογιστική» του Ζ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2005.

11.[Kaza05b]  Σπύρος Καζαρλής, “Εξελικτική Υπολογιστική-Εργαστήριο”, Επίσημες Σημειώσεις για το Εργαστηριακό μάθημα «Εξελικτική Υπολογιστική» του Ζ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2005.

12. [Kaza08] Σπύρος Καζαρλής, “Αρχιτεκτονική Η/Υ”, Επίσημες Σημειώσεις (2008) για το θεωρητικό μάθημα «Αρχιτεκτονική Η/Υ» του Δ’ Εξαμήνου του Τμήματος Πληροφορικής & Επικοινωνιών της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Σερρών, Τ.Ε.Ι. Σερρών, Σεπτέμβριος 2008.
13. [Kaza13] Σπύρος Καζαρλής, “Ενσωματωμένα Συστήματα Προγραμματισμός και Αρχιτεκτονικές”, Επίσημες Σημειώσεις για το θεωρητικό μάθημα «Ενσωματωμένα Συστήματα Προγραμματισμός και Αρχιτεκτονικές» του Α’ Εξαμήνου του Μεταπτυχιακού Προγράμματος «Τηλεπικοινωνιών & Πληροφορικής» του Τμήματος Μηχανικών Πληροφορικής ΤΕ της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Κεντρικής Μακεδονίας, Δεκέμβριος 2013.
14. [Kaza14] Σπύρος Καζαρλής, “Οπτικός Προγραμματισμός – MS Visual Studio”, Επίσημες Σημειώσεις για το Θεωρητικό μάθημα «Οπτικός Προγραμματισμός» του Ε’ Εξαμήνου του Τμήματος Μηχανικών Πληροφορικής ΤΕ της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Κεντρικής Μακεδονίας, Ιανουάριος 2014.
15. [Kaza17] Σπύρος Καζαρλής, “Ενσωματωμένα Συστήματα”, Επίσημες Σημειώσεις για το θεωρητικό και εργαστηριακό μάθημα «Ενσωματωμένα Συστήματα» του Α’ Εξαμήνου του Μεταπτυχιακού Προγράμματος στη «Ρομποτική» του Τμήματος Μηχανικών Πληροφορικής ΤΕ της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Κεντρικής Μακεδονίας, Σεπτέμβριος 2017.
16. [Kaza18] Σπύρος Καζαρλής, “Μηχανική Ευφυία – Εξελικτική Υπολογιστική”, Επίσημες Σημειώσεις για το θεωρητικό και εργαστηριακό μάθημα «Μηχανική Ευφυία» του Β’ Εξαμήνου του Μεταπτυχιακού Προγράμματος στη «Ρομποτική» του Τμήματος Μηχανικών Πληροφορικής ΤΕ της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Κεντρικής Μακεδονίας, Μάιος 2018.
17. [Kaza18b] Σπύρος Καζαρλής, “Αυτόνομα Ρομποτικά Οχήματα – Σχεδιασμός Διαδρομών”, Επίσημες Σημειώσεις για το θεωρητικό και εργαστηριακό μάθημα «Αυτόνομα Ρομποτικά Οχήματα» του Β’ Εξαμήνου του Μεταπτυχιακού Προγράμματος στη «Ρομποτική» του Τμήματος Μηχανικών Πληροφορικής ΤΕ της Σχολής Σ.Τ.Ε.Φ. του Τ.Ε.Ι. Κεντρικής Μακεδονίας, Μάιος 2018.

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