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Technical University ..
School of Electrical ..
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Journal Publications
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Last Submissions
1-15 out of 34 results
1
A. Shevtsov, M. Oikonomidou, D. Antonakaki, P. Pratikakis, A. Kanterakis, P. Fragopoulou and S. Ioannidis, “Discovery and classification of Twitter bots,” SN Comput. Sci., vol. 3, no. 3, Apr. 2022, doi: 10.1007/s42979-022-01154-5.
2024-07-09
2
M. Papoutsakis, K. Fysarakis, E. Michalodimitrakis, G. Spanoudakis and S. Ioannidis, “CIRCE: architectural patterns for circular and trustworthy by-design IoT orchestrations,” Front. Sustain., vol. 3, Feb. 2022, doi: 10.3389/frsus.2022.792103.
2024-05-31
3
N. Alachiotis, P. Skrimponis, M. Pissadakis and D. Pnevmatikatos, “Scalable phylogeny reconstruction with disaggregated near-memory processing,” ACM Trans. Reconfigurable Technol. Syst., vol. 15, no. 3, 2022, doi: 10.1145/3484983.
2024-02-26
4
A. Shevtsov, C. Tzagkarakis, D. Antonakaki, and S. Ioannidis, “Explainable machine learning pipeline for Twitter bot detection during the 2020 US Presidential Elections,” Software Impacts, vol. 13, Aug. 2022, doi: 10.1016/j.simpa.2022.100333.
2024-01-08
5
G. Giakoumakis, E. Papadogiannaki, G. Vasiliadis, and S. Ioannidis, “Scheduling of multiple network packet processing applications using Pythia,” Comput. Networks, vol. 212, July 2022, doi: 10.1016/j.comnet.2022.109006.
2024-01-05
6
C. Liaskos, L. Mamatas, A. Pourdamghani, A. Tsioliaridou, S. Ioannidis, A. Pitsillides, S. Schmid and I. F. Akyildiz, "Software-defined reconfigurable intelligent surfaces: from theory to end-to-end implementation," Proc. IEEE, vol. 110, no. 9, pp. 1466-1493, Sept. 2022, doi: 10.1109/JPROC.2022.3169917.
2023-12-15
7
C. Liaskos, A. Tsioliaridou, K. Georgopoulos, I. Morianos, S. Ioannidis, I. Salem, D. Manessis, S. Schmid, D. Tyrovolas, S. A. Tegos, P. -V. Mekikis, P. D. Diamantoulakis, A. Pitilakis, N. V. Kantartzis, G. K. Karagiannidis, A. C. Tasolamprou, O. Tsilipakos, M. Kafesaki, I. F. Akyildiz, A. Pitsillides, M. Pateraki, M. Vakalellis and I. Spais, "XR-RF imaging enabled by software-defined metasurfaces and machine learning: foundational vision, technologies and challenges," IEEE Access, vol. 10, pp. 119841-119862, 2022, doi: 10.1109/ACCESS.2022.3219871.
2023-12-14
8
V. Danilatou, S. Nikolakakis, D. Antonakaki, C. Tzagkarakis, D. Mavroidis, T. Kostoulas, and S. Ioannidis, “Outcome prediction in critically-ill patients with venous thromboembolism and/or cancer using machine learning algorithms: external validation and comparison with scoring systems,” Int. J. Mol. Sci., vol. 23, no. 13, June 2022, doi: 10.3390/ijms23137132.
2023-09-13
9
D. Deyannis, E. Papadogiannaki, G. Chrysos, K. Georgopoulos, and S. Ioannidis, “The diversification and enhancement of an IDS scheme for the cybersecurity needs of modern supply chains,” Electronics, vol. 11, no. 13, June 2022, doi: 10.3390/electronics11131944.
2023-09-11
10
G. Charitopoulos, D. N. Pnevmatikatos and G. Gaydadjiev, “MC-DeF: creating customized CGRAs for dataflow applications,” ACM Trans. Archit. Code Optim., vol. 18, no. 3, Sept. 2021, doi: 10.1145/3447970.
2023-04-19
11
K. Malavazos, M. Papadogiorgaki, P. Malakonakis and I. Papaefstathiou, “Novel reconfigurable hardware systems for tumor growth prediction,” ACM Trans. Comput. Healthcare, vol. 2, no. 4, July 2021, doi: 10.1145/3454126.
2023-04-10
12
G. Hatzivasilis, K. Fysarakis, S. Ioannidis, I. Hatzakis, G. Vardakis, N. Papadakis, and G. Spanoudakis, “SPD-Safe: secure administration of railway intelligent transportation systems,” Electronics, vol. 10, no. 1, Jan. 2021, doi: 10.3390/electronics10010092.
2023-03-06
13
A. Filgueras, M. Vidal, M. Mateu, D. Jimenez-Gonzalez, C. Alvarez, X. Martorell, E. Ayguade, D. Theodoropoulos, D. Pnevmatikatos, P. Gai, S. Garzarella, D. Oro, J. Hernando, N. Bettin, A. Pomella, M. Procaccini, and R. Giorgi, “The AXIOM project: IoT on heterogeneous embedded platforms,” IEEE Des. Test, vol. 38, no. 5, pp. 74–81, Oct. 2021, doi: 10.1109/MDAT.2019.2952335.
2023-02-20
14
D. Antonakaki, P. Fragopoulou and S. Ioannidis, “A survey of Twitter research: data model, graph structure, sentiment analysis and attacks,” Expert Syst. Appl., vol. 164, Feb. 2021, doi: 10.1016/j.eswa.2020.114006.
2023-02-02
15
G. Charitopoulos, I. Papaefstathiou, and D. N. Pnevmatikatos, “Creating customized CGRAs for scientific applications,” Electronics, vol. 10, no. 4, Feb. 2021, doi: 10.3390/electronics10040445.
2023-01-26
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