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Τελευταίες Υποβολές

 1-15 από 32 αποτελέσματα
1 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
2 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
3 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
4 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
5 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
6 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
7 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
8 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
9 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
10 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
11 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
12 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
13 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
14 E. Papadogiannaki and S. Ioannidis, “Acceleration of intrusion detection in encrypted network traffic using heterogeneous hardware,” Sensors, vol. 21, no. 4, Feb. 2021, doi: 10.3390/s21041140.2023-01-26
15 C. Theodoris, T. M. Low, P. Pavlidis, and N. Alachiotis, “quickLD: an efficient software for linkage disequilibrium analyses,” Mol. Ecol. Resour., vol. 21, no. 7, pp. 2580–2587, Oct. 2021, doi: 10.1111/1755-0998.13438.2022-11-08
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