Δημοσιεύσεις

  • 2018

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.

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.

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: Graña 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.

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.

Graña, 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.

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.

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.

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.

  • 2017

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.

GA Papakostas, KI Diamantaras, FAN Palmieri, «Emerging Trends in Machine Learning for Signal Processing», Computational Intelligence and Neuroscience, vol. 2017, Article ID 6521367, 2 pages, 2017.

Tziridis, T. Kalampokas, G.A. Papakostas, K.I. Diamantaras, «Airfare Prices Prediction Using Machine Learning Techniques», 25th European Signal Processing Conference (EUSIPCO), pp. 1071-1074, 2017.

G.A. Papakostas, K.I. Diamantaras, T. Papadimitriou, «Parallel pattern classification utilizing GPU-based kernelized Slackmin algorithm», Journal of Parallel and Distributed Computing, vol. 99, pp. 90-99, 2017.

  • 2016

G.A. Papakostas, A.G. Hatzimichailidis, V.G. Kaburlasos (eds.) Handbook of Fuzzy Sets Comparison – Theory, Algorithms and Applications. Science Gate Publishing (SGP) http://sciencegatepub.com/, 2016, ISBN: 978-618-81418-1-2.

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.), GCSR vol. 6, pp. 1-21, 2016.

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.), GCSR vol. 6, pp. 23-42, 2016.

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.

G.A. Papakostas, E.D. Tsougenis, D.E. Koulouriotis, «Fuzzy knowledge-based adaptive image watermarking by the method of moments», Complex & Intelligent Systems, vol. 2, no. 3, pp. 205-220, 2016.

V. Kanakaris, G.A. Papakostas, D. Bandekas, «An Analysis on the Impact of Video Traffic over Wireless Visual Sensor Network under Mannasim Sensor Network Architecture», International Journal of Engineering and Technology, vol. 8, no. 5, pp. 2318-2332, 2016.

V. Kanakaris, D. Ndzi, G.A. Papakostas, “Sensitivity analysis of AODV protocol regarding forwarding probability”, Optik-International Journal for Light and Electron Optics, vol. 127, no. 3, pp.1016-1021, 2016.

  • 2015

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).

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

G.A. Papakostas, J.W. Nolan, N. Vordos, D. Gkika, M.E. Kainourgiakis and A.C. Mitropoulos, “On 3D Reconstruction of Porous Media by Using Spatial Correlation Functions”, Journal of Engineering Science and Technology Review, vol. 8, no. 4, pp. 78-83, 2015.

G.A. Papakostas, “Improving the Recognition Performance of Moment Features by Selection”, In: Feature Selection for Data and Pattern Recognition, U. Stanczyk and L.C. Jain (Eds.), Springer, Studies in Computational Intelligence, vol. 584, pp. 305-327, 2015.

E.D. Tsougenis, G.A. Papakostas and D.E. Koulouriotis, “Image Watermarking via Separable Moments”, Multimedia Tools and Applications, vol. 74, no. 11, pp. 3985-4012, 2015.

  • 2014

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

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

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).

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

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.

J. Maiora, G.A. Papakostas, V.G. Kaburlasos, M. Graña, “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.

E.D. Tsougenis, G.A. Papakostas, D.E. Koulouriotis and E.G. Karakasis, “Adaptive Color Image Watermarking by the use of Quaternion Image Moments», Expert Systems With Applications, vol. 41, no. 14, pp. 6408-6418, 2014.

G.A. Papakostas, E.D. Tsougenis, D.E. Koulouriotis and V.D. Tourassis, “Moment-based Local Image Watermarking via Genetic Optimization”, Applied Mathematics and Computation, vol. 227, pp. 222-236, 2014.

E.G. Karakasis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “A Unified Methodology for Computing Accurate Quaternion Color Moments and Moment Invariants”, IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 596-611, 2014.

  • 2013

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.

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.

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.

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.

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.

E.D. Tsougenis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “Towards Adaptivity of Image Watermarking in Polar Harmonic Transforms Domain”, Optics & Laser Technology, vol. 54, pp. 84-97, 2013.

E.G. Karakasis, G.A. Papakostas, D.E. Koulouriotis and V.D. Tourassis, “Generalized Dual Hahn Moment Invariants”, Pattern Recognition, vol. 46, no. 7, pp. 1998-2014, 2013.

G.A. Papakostas, E.G. Karakasis, D.E. Koulouriotis and V.D. Tourassis, “Moment-Based Local Binary Patterns: A Novel Local Descriptor for Invariant Pattern Recognition Applications”, Neurocomputing, vol. 99, pp. 358-371, 2013.

E.D. Tsougenis, G.A. Papakostas, D.E. Koulouriotis, E.G. Karakasis and D.A. Karras, “Color Image Watermarking via Quaternion Radial Tchebichef Moments”, Proceedings of the IEEE International Workshop on Imaging Systems and Techniques (IST’13), pp. 101-105, 22-23 October, Beijing – China, 2013.

K.M. Hosny, G.A. Papakostas and D.E. Koulouriotis, “Accurate Reconstruction of Noisy Medical Images Using Orthogonal Moments”, Proceedings of the 18th International Conference on Digital Signal Processing (DSP’13), pp. 1-6, 1-3 July, Santorini – Greece, 2013.

E.D. Tsougenis, G.A. Papakostas and D.E. Koulouriotis, “Introducing the Separable Moments for Image Watermarking in a Totally Moment-Oriented Framework”, Proceedings of the 18th International Conference on Digital Signal Processing (DSP’13), pp. 1-6, 1-3 July, Santorini – Greece, 2013.

E.G. Karakasis, G.A. Papakostas and D.E. Koulouriotis, “Pattern Recognition Using Quaternion Color Moments”, In: Pattern Recognition: Practices, Perspectives and Challenges, D.B. Vincent (Ed.), pp. 153-176, ISBN 978-1-62618-198-4, Nova Publishers, 2013.

  • 2012

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 Graña, Emilio Corchado, Michal Wozniak).

S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, “Fuzzy lattice reasoning (FLR) classifier for human facial expression recognition”, Proceedings of the 10th 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.

A.G. Hatzimichailidis, G.A. Papakostas, V.G. Kaburlasos, “A study on fuzzy D-implications”, Proceedings of the 10th 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.

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 Sebastián, Spain, 10-12 September 2012, Advances in Knowledge-Based and Intelligent Information and Engineering Systems. IOS Press, 2012, Manuel Graña, Carlos Toro, Jorge Posada, R. J. Howlett, L. C. Jain (Eds.), pp. 1720-1729.

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.

  • 2011

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).

English