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Fotios Kounelis
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2020 – today
- 2023
- [j4]Heidi Howard, Fritz Alder, Edward Ashton, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, Antoine Delignat-Lavaud, Cédric Fournet, Andrew Jeffery, Matthew Kerner, Fotios Kounelis, Markus A. Kuppe, Julien Maffre, Mark Russinovich, Christoph M. Wintersteiger:
Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability. Proc. VLDB Endow. 17(2): 225-240 (2023) - [i1]Heidi Howard, Fritz Alder, Edward Ashton, Amaury Chamayou, Sylvan Clebsch, Manuel Costa, Antoine Delignat-Lavaud, Cédric Fournet, Andrew Jeffery, Matthew Kerner, Fotios Kounelis, Markus A. Kuppe, Julien Maffre, Mark Russinovich, Christoph M. Wintersteiger:
Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability. CoRR abs/2310.11559 (2023) - 2021
- [j3]Andreas Kanavos, Fotios Kounelis, Lazaros Iliadis, Christos Makris:
Deep learning models for forecasting aviation demand time series. Neural Comput. Appl. 33(23): 16329-16343 (2021) - [j2]Georgios Theodorakis, Fotios Kounelis, Peter R. Pietzuch, Holger Pirk:
Scabbard: Single-Node Fault-Tolerant Stream Processing. Proc. VLDB Endow. 15(2): 361-374 (2021) - 2020
- [j1]Fotios Kounelis, Christos Makris:
Comparison between text compression algorithms in biological sequences. Inf. Comput. 270 (2020) - [c3]Thomas Kowalski, Fotios Kounelis, Holger Pirk:
High-Performance Tree Indices: Locality matters more than one would think. ADMS@VLDB 2020: 1-7
2010 – 2019
- 2019
- [c2]Fotios Kounelis, Andreas Kanavos, Ioannis E. Livieris, Gerasimos Vonitsanos, Panagiotis E. Pintelas:
Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method. AIAI (Workshops) 2019: 232-241 - 2017
- [c1]Fotios Kounelis, Nicolas Sklavos, Paris Kitsos:
Run-Time Effect by Inserting Hardware Trojans, in Combinational Circuits. DSD 2017: 287-290
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