2020

The Lattice Computing (LC) Paradigm – CLA 2020, Tallinn, Estonia

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.

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Enhancing the applications of interactive social robots in educational interventions for autism spectrum disorders: a research initiative in Greece – INSAR 2020, Seattle, Washington, USA

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.

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A feasibility study to evaluate the application of a robot-assisted ASD intervention in Greece – INSAR 2020, Seattle, Washington, USA

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.

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Social robots in special education: creating dynamic interactions for optimal experience – IEEE Consumer Electronics Magazine 2020, vol. 9, no. 3

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

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WINkNN: Windowed Intervals’ Number kNN Classifier for Efficient Time-Series Applications – Mathematics 2020, 8, 413

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.

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