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Δημοσιεύσεις

  1. Lytridis C, Pachidis T. Recent Advances in Agricultural Robots for Automated Weeding. AgriEngineering. 2024; 6(3):3279-3296. https://doi.org/10.3390/agriengineering6030187
  1. Lytridis, C.; Bazinas, C.; Kalathas, I.; Siavalas, G.; Tsakmakis, C.; Spirantis, T.; Badeka, E.; Pachidis, T.; Kaburlasos, V.G. Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots. Robotics 2023, 12, 147. https://doi.org/10.3390/robotics12060147
  2. 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
  3. 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. ?-?, August 11, 2023. Academic Press, Paperback ISBN: 9780323919401, eBook ISBN: 9780323914017
  4. 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.
  5. 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)
  6. 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,” 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 364-365, doi: 10.1109/CAI54212.2023.00159.
  7. 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.
  8. 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
  9. 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 
  10. 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 
  1. 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
  2. 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 Graña)
  3. 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
  4. 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.
  5. 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
  6. 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.
  7. 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. https://doi.org/10.3390/agronomy12092113
  8. 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 15th 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
  9. 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
  10. 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.
  11. 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
  12. 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.
  13. 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.
  14. 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://doi.org/10.3390/agronomy12071564
  15. V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, “Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions”, 2022 North American Fuzzy Information Processing Society (NAFIPS 2022) Conference, Halifax, Nova Scotia, Canada, 31 May – 3 June 2022.
  16. V. Kaburlasos, C. Lytridis, C. Bazinas, F. Panagiotopoulos, E. Vrochidou, G. Papakostas, “Chapter 26. 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.
  17. 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.
  18. 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, 06 April 2022, vol. 9, Article 713964. doi: 10.3389/frobt.2022.713964 (Special Issue on Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives – Section “Biomedical Robotics”. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)
  19. 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 Société Européenne de Neurologie Pédiatrique (SENP), Lausanne, Suisse, 17-19 March 2022.
  20. 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
  21. Lytridis, C.; Kaburlasos, V.G.; Bazinas, C.; Papakostas, G.A.; Sidiropoulos, G.; Nikopoulou, V.-A.; Holeva, V.; Papadopoulou, M.; Evangeliou, A. Behavioral Data Analysis of Robot-Assisted Autism Spectrum Disorder (ASD) Interventions Based on Lattice Computing Techniques. Sensors 2022, 22, 621. https://doi.org/10.3390/s22020621
  22. Kaburlasos, V.G. Lattice Computing: A Mathematical Modelling Paradigm for Cyber-Physical System Applications. Mathematics 2022, 10, 271. https://doi.org/10.3390/math10020271
  1. Christos Bazinas, Eleni Vrochidou, Chris Lytridis, and Vassilis G. Kaburlasos. 2021. Yield Estimation in Vineyards Using Intervals’ Numbers Techniques. In 25th Pan-Hellenic Conference on Informatics (PCI 2021). Association for Computing Machinery, New York, NY, USA, 454–459. DOI:https://doi.org/10.1145/3503823.3503906
  2. 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)
  3. 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
  4. 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.
  5. C. Lytridis, V. G. Kaburlasos, T. Pachidis, M. Manios, E. Vrochidou, T. Kalampokas, S. Chatzistamatis, “An overview of cooperative robotics in agriculture”, Agronomy 2021, vol. 11, iss. 9, 1818; https://www.mdpi.com/2073-4395/11/9/1818 (Open Access). (Special Issue on “Worldwide Trends in Agronomy Research: Bibliometric Studies”. Guest Editors: Prof. Dr. Francisco Manzano Agugliaro, Dr. Esther Salmerón-Manzano)
  6. E. Vrochidou, C. Bazinas, M. Manios, G. A. Papakostas, T. P. Pachidis, V. G. Kaburlasos, “Machine vision for ripeness estimation in viticulture automation”, Horticulturae, 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)
  7. M. Dimitrova, H. Wagatsuma, A. Krastev, E. Vrochidou, J. D. Nunez-Gonzalez, “A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education”, Frontiers in Robotics and AI, 31 August 2021. https://www.frontiersin.org/articles/10.3389/frobt.2021.715962/full (Section Biomedical Robotics – Research Topic Emerging Technologies for Assistive Robotics: Current Challenges and Perspectives. Guest Editors: Lyuba Alboul, Jacques Penders, Peter Mitrouchev, Maya Dimitrova, Anna Lekova, Vassilis Kaburlasos)
  8. N. S. T. Hirata and G. A. Papakostas, “On Machine-Learning Morphological Image Operators,” Mathematics, vol. 9, no. 16, p. 1854, Aug. 2021.
  9. 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/vol/176 (Open Access)
  10. Bazinas, C.; Vrochidou, E.; Lytridis, C.; Kaburlasos, V.G. Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach. Eng. Proc. 2021, 5, 12. https://doi.org/10.3390/engproc20210050012
  11. 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
  12. 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://doi.org/10.3390/electronics10121398 (Special Issue on Recent Advances in Educational Robotics – Section “Artificial Intelligence”. Guest Editors: Savvas A. Chatzichristofis and Zinon Zinonos)
  13. E. Karageorgiou, E. Kourampa, A.-T. Papanikolaou, C. Lytridis, G. A. Papakostas, V. G. Kaburlasos, P. Kechayas, E. Avramidou, “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.
  14. Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, “Grape stem detection using regression convolutional neural networks,” Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016/j.compag.2021.106220.
  15. Vrochidou, E.; Lytridis, C.; Bazinas, C.; Papakostas, G.A.; Wagatsuma, H.; Kaburlasos, V.G. Brain Signals Classification Based on Fuzzy Lattice Reasoning. Mathematics 2021, 9, 1063. https://doi.org/10.3390/math9091063
  16. V. Holeva, P. Kechayas, V.A. Nikopoulou, M. Kerasidou, M. Papadopoulou, 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.
  17. 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).
  18. 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.
  1. 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
  2. G. Sidiropoulos, G.A. Papakostas, C. Lytridis, C. Bazinas, V. Kaburlasos, E. Kourampa, E. Karageorgiou, “Measuring Engagment Level in Child-Robot Interaction Using Machine Learning Based Data Analysis,” International Conference on Data Analytics for Business and Industry, 26-27 October 2020, Kingdom of Bahrain.
  3. 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
  4. 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, November 02-06, 2020
  5. 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.
  6. Tziridis, K., Nikolaou, A., Kalampokas, T., Vrochidou, E., Pachidis, T., Papakostas, G. A., & Kaburlasos, V. G. (2021). Information management and monitoring system for a grapes harvesting robot. In IOP Conference Series: Materials Science and Engineering (Vol. 1032, No. 1, p. 012051). IOP Publishing.
  7. 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,” 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020, pp. 1-6, doi: 10.1109/IJCNN48605.2020.9206965.
  8. 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,” 2020 IEEE 10th International Conference on Intelligent Systems (IS), Varna, Bulgaria, 2020, pp. 171-177, doi: 10.1109/IS48319.2020.9199958.
  9. M. Dimitrova, S. Kostova, A. Lekova, E. Vrochidou, I. Chavdarov, A. Krastev, R. Bostova, A. Andreeva, V. Stancheva-Popokostadinova, L. Ozeata. “Cyber-physical systems for pedagogical rehabilitation from an inclusive education perspective”, BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 11(2Sup1), pp. 186-207. https://doi.org/10.18662/brain/11.2Sup1/104 , 2020.
  10. Maya Dimitrova, Aleksandar Krastev, Roman Zahariev, Eleni Vrochidou, Christos Bazinas, Tsvete Yaneva, and Elena Blagoeva-Hazarbassanova. 2020. Robotic Technology for Inclusive Education: A Cyber-Physical System Approach to Pedagogical Rehabilitation. In Proceedings of the 21st International Conference on Computer Systems and Technologies ’20 (CompSysTech ’20). Association for Computing Machinery, New York, NY, USA, 293–299. DOI:https://doi.org/10.1145/3407982.3408019
  11. 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
  12. Kaburlasos, V.G., Lytridis, C., Bazinas, C., Chatzistamatis, S., Sotiropoulou, K., Najoua, A., Youssfi, M., Bouattane, O.: Head Pose Estimation Using Lattice Computing Techniques. In: 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). pp. 1–5 (2020). https://doi.org/10.23919/SoftCOM50211.2020.9238315.
  13. 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)
  14. 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,” 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, Hvar, Croatia, 2020, pp. 1-6, doi: 10.23919/SoftCOM50211.2020.9238297.
  15. Lytridis, C., Papadopoulou, C.I., Papakostas, G.A., Kaburlasos, V.G., Nikopoulou, V.A., Kerasidou, M.D., Dalivigkas, N.: Robot-Assisted Autism Spectrum Disorder (ASD) Interventions: A Multi-Robot Approach. In: 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). pp. 1–4 (2020). https://doi.org/10.23919/SoftCOM50211.2020.9238273.
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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.
  21. 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. DOI: 10.23950/1812-2892-JCMK-00753
  22. Lytridis C, Bazinas C, Sidiropoulos G, Papakostas GA, Kaburlasos VG, Nikopoulou V-A, Holeva V, Evangeliou A. Distance Special Education Delivery by Social Robots. Electronics. 2020; 9(6):1034.
  23. 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.
  24. 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.
  25. 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
  26. 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. Tallinn University of Technology, Estonia, ISBN: 978-9949-83-557-7.
  27. 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.
  28. Kaburlasos, Vassilis, Vasiliki Holeva, Christina Dardani, Maria Papadopoulou, Petros Kechayas, Christos Lytridis, Christos Bazinas, and Vasiliki-Aliki Nikopoulou. “A Feasibility Study to Evaluate the Application of a Robot-Assisted ASD Intervention in Greece.” In INSAR 2020 Virtual Meeting. INSAR.
  29. 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
  30. Lytridis, C., Lekova, A., Bazinas, C., Manios, M., Kaburlasos, V.G.: WINkNN: Windowed Intervals’ Number kNN Classifier for Efficient Time-Series Applications. Mathematics. 8, 413 (2020). https://doi.org/10.3390/math8030413.
  31. 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.
  1. 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)”, Proceedings of the 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, Á. Castro-González, H. He (Eds.): ICSR 2019. 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
  2. E.V. Badeka, T. Kalampokas, K. Tziridis, A.P. Nikolaou, E. Vrochidou, E. Mavridou, G.A. Papakostas and T. Pachidis, “Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors”. In 12th International Conference on Computer Vision Systems (ICVS 2019), Thessaloniki, Greece, pp. 98–109, 2019.
  3. E. Mavridou, E. Vrochidou, G. A. Papakostas, T. Pachidis and V. G. Kaburlasos, “Machine vision Systems in Precision Agriculture for Crop Farming”, Journal of Imaging, DOI: 10.3390/jimaging5120089, 2019
  4. 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
  5. 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.
  6. 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.
  7. Lytridis, C., Vrochidou, E., Sidiropoulos, G., Papakostas, G.A., Kaburlasos, V.G., Kourampa, E., Karageorgiou, E.: Audio Signal Recognition Based on Internals’ Numbers (INs) Classification Techniques. In: 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019). Patras, Greece (2019).
  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. Pennsylvania, USA. ISBN13: 9781522578796, DOI: 10.4018/978-1-5225-7879-6
  9. Kaburlasos, V.G., Vrochidou, E., Panagiotopoulos, F., Aitsidis, C., Jaki, A.: Time series classification in cyber-physical system applications by intervals’ numbers techniques. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019). pp. 125–130, New Orleans, Louisiana, USA (2019).
  10. T. Pachidis, E. Vrochidou, C.I. Papadopoulou, V.G. Kaburlasos, S. Kostova, M. Bonković and 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.
  11. 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, pp. 3-13.
  1. 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), Kraków, Poland, 16-18 October 2018, pp. 232-236.
  2. 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), Kraków, Poland, 16-18 October 2018, pp. 312-317.
  3. 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.
  4. G. A. Papakostas, A. K. Strolis, F. Panagiotopoulos, C. N. Aitsidis, “Social robot selection: a case study in education”, 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.
  5. E. Vrochidou, M. Manios, G. A. Papakostas, C. N. Aitsidis, F. Panagiotopoulos, “Open-source robotics: investigation on existing platforms and their application in education”, 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
  6. E. Vrochidou, A. Najoua, C. Lytridis, M. Salonidis, V. Ferelis, G. Papakostas, “Social robot NAO as a self-regulating didactic mediator: a case study of teaching/learning numeracy”, 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
  7. L. Moussiades, C. Kiourt, S. Papadimitriou, “Towards a robot assistant in vocabulary learning”, Proceedings of the International Conference on Robotics, Mechatronics and Social Implementation, Varna, Bulgaria, 28 August – 01 September 2018, pp. 32-45
  8. 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
  9. 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
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18.  
  1. 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.
  1. 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.
  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.
  3. 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.
  4. 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.
  1. 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).
  2. 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).
  1. 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).
  2. 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.
  3. 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).
  4. Y. Jamshidi, V.G. Kaburlasos, “gsaINknn: A GSA optimized, lattice computing knn classifier”, Engineering Applications of Artificial Intelligence, vol. 35, pp. 277-285, 2014.
  5. 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.
  6. 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.
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  1. 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).
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  1. 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).