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Τελευταίες Υποβολές

 1-15 από 109 αποτελέσματα
1 N. I. Spanoudakis, G. Gligoris, A. C. Kakas and A. Koumi, "Gorgias cloud: on-line explainable argumentation," in Computational Models of Argument, vol. 353, Frontiers in Artificial Intelligence and Applications, F. Toni, S. Polberg, R. Booth, M. Caminada, and H. Kido, Eds., Amsterdam, The Netherlands: IOS Press, 2022, pp. 371-372, doi: 10.3233/FAIA220178.2024-09-23
2 C. H. Skiadas and Y. Dimotikalis, “Preface,” in 14th Chaotic Modeling and Simulation International Conference, Springer Proceedings in Complexity, Cham, Switzerland: Springer Nature, 2022, p. v, doi: 10.1007/978-3-030-96964-6.2024-07-15
3 C. H. Skiadas and C. Skiadas, “Preface,” in Exploring the Health State of a Population by Dynamic Modeling Methods, The Springer Series on Demographic Methods and Population Analysis, Cham, Switzerland: Springer Nature, 2018, p. v, doi: 10.1007/978-3-319-65142-2.2024-07-15
4 S. Greco, V. Mousseau, J. Stefanowski and C. Zopounidis, “Preface,” in Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński, Multiple Criteria Decision Making, Cham, Switzerland: Springer Nature, 2022, pp. v– viii, doi: 10.1007/978-3-030-96318-7.2024-07-09
5 K. N. Zafeiris, Y. Dimotikalis, C. H. Skiadas, A. Karagrigoriou and C. Karagrigoriou-Vonta, “Preface,” in Data Analysis and Related Applications 1: Computational, Algorithmic and Applied Economic Data Analysis, Big Data, Artificial Intelligence and Data Analysis Set, United States: Hoboken, John Wiley & Sons, 2022, vol 9, pp. xvii– xviii, doi: 10.1002/9781394165513.fmatter.2024-06-25
6 N. Kampelis, “Preface,” in Smart Zero‐energy Buildings and Communities for Smart Grids, Engineering, Energy and Architecture Set, United States: Hoboken, John Wiley & Sons, 2022, vol 9, pp. xi– xiv, doi: 10.1002/9781119902201.fmatter.2024-06-19
7 K. N. Zafeiris, C. H. Skiadas, Y. Dimotikalis, A. Karagrigoriou and C. Karagrigoriou-Vonta, “Preface,” in Data Analysis and Related Applications 2: Multivariate, Health and Demographic Data Analysis, Big Data, Artificial Intelligence and Data Analysis Set, United States: Hoboken, John Wiley & Sons, 2022, vol 10, pp. xv– xvi, doi: 10.1002/9781394165544.fmatter.2024-06-19
8 O. Giannakopoulou, P. Toumpaniaris, I. Kouris, K. Moirogiorgou, N. Karanasiou, V. Aisopou, G. Matsopoulos, A. Chandrinou, N. Anousakis-Vlachochristou, F. Psarros, P. Syrigas, V. Karalidou, N. Costaridis, M. Zervakis, and D. Koutsouris, "A platform for health record management of the conscripts in the Hellenic Navy," in Public Health and Informatics, vol. 281, Studies in Health Technology and Informatics, J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, M. Crişan-Vida, E. Zoulias, O. S. Chirila, Eds., Amsterdam, The Netherlands: IOS Press, 2021, pp. 362 - 366, doi: 10.3233/SHTI210181.2023-07-18
9 V. S. Kouikoglou, E. Grigoroudis and Y. A. Phillis, “National energy sustainability and ranking of countries,” in Energy Systems Evaluation (Volume 2), Green Energy and Technology, Cham, Switzerland: Springer Nature, 2021, pp. 63–101, doi: 10.1007/978-3-030-67376-5_4.2023-07-05
10 J. Tangpanitanon and D. G. Angelakis, "Many-body physics and quantum simulations with strongly interacting photons," in Nanoscale Quantum Optics, vol 204, Proceedings of the International School of Physics "Enrico Fermi", M. Agio, I. D’Amico, R. Zia, C. Toninelli, Eds., Amsterdam, The Netherlands: IOS Press, 2020, pp. 169 - 215, doi: 10.3254/ENFI200024.2022-08-01
11 D. T. Hristopoulos, “Random fields for spatial data modeling: a primer for scientists and engineers,” Advances in Geographic Information Science, Dordrecht, The Netherlands: Springer Nature, 2020, doi: 10.1007/978-94-024-1918-4.2022-07-27
12 P. Skrimponis, E. Pissadakis, N. Alachiotis, and D. Pnevmatikatos, “Accelerating binarized convolutional neural networks with dynamic partial reconfiguration on disaggregated FPGAs,” in Parallel Computing: Technology Trends, vol 36, Advances in Parallel Computing, I. Foster, G. R. Joubert, L. Kučera, W. E. Nagel, F. Peters, Eds., Amsterdam, The Netherlands: IOS Press, 2020, pp. 691 - 700, doi: 10.3233/APC200099.2022-07-21
13 G. E. Stavroulakis, I. Menemenis, M. E. Stavroulaki, and G. A. Drosopoulos, “Collapse prediction and safety of masonry arches,” in Natural Risk Management and Engineering: NatRisk Project, Springer Tracts in Civil Engineering, M. Gocić, G. T. Aronica, G. E. Stavroulakis, S. Trajković, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 191–201, doi: 10.1007/978-3-030-39391-5_9.2022-07-21
14 M. Bakatsaki and L. Zampetakis, “International trends in managing natural hazards and the role of leadership,” in Natural Risk Management and Engineering: NatRisk Project, Springer Tracts in Civil Engineering, M. Gocić, G. T. Aronica, G. E. Stavroulakis, S. Trajković, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 63–87, doi: 10.1007/978-3-030-39391-5_4.2022-07-21
15 G. K. Tairidis, N. Stojanovic, D. Stamenkovic, and G. E. Stavroulakis, “Neuro-fuzzy techniques and Natural Risk Management. Applications of ANFIS models in floods and comparison with other models,” in Natural Risk Management and Engineering: NatRisk Project, Springer Tracts in Civil Engineering, M. Gocić, G. T. Aronica, G. E. Stavroulakis, S. Trajković, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 169–189, doi: 10.1007/978-3-030-39391-5_8.2022-07-19
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