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ORCIDNicolas Sourbier
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2020 – today
- 2022
[b1]Nicolas Sourbier:
Learning-Based Network Intrusion Detection: an Imbalanced, Constantly Evolving and Timely Problem. (Détection d'intrusion réseau par apprentissage machine: un problème temporel, déséquilibré et en constante évolution). INSA de Rennes, France, 2022- [j1]Nicolas Sourbier
, Karol Desnos, Thomas Guyet, Frédéric Majorczyk, Olivier Gesny, Maxime Pelcat:
SECURE-GEGELATI Always-On Intrusion Detection through GEGELATI Lightweight Tangled Program Graphs. J. Signal Process. Syst. 94(7): 753-770 (2022) - [c4]Nicolas Sourbier, Justine Bonnot, Frédéric Majorczyk, Olivier Gesny, Thomas Guyet, Maxime Pelcat:
Imbalanced classification with tpg genetic programming: impact of problem imbalance and selection mechanisms. GECCO Companion 2022: 608-611 - [c3]Karol Desnos, Thomas Bourgoin, Mickaël Dardaillon, Nicolas Sourbier, Olivier Gesny, Maxime Pelcat:
Ultra-Fast Machine Learning Inference through C Code Generation for Tangled Program Graphs. SiPS 2022: 1-6 - 2021
- [c2]Karol Desnos, Nicolas Sourbier, Pierre-Yves Raumer, Olivier Gesny, Maxime Pelcat:
Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs. DASIP 2021: 35-43 - 2020
- [i1]Karol Desnos, Nicolas Sourbier, Pierre-Yves Raumer, Olivier Gesny, Maxime Pelcat:
Gegelati: Lightweight Artificial Intelligence through Generic and Evolvable Tangled Program Graphs. CoRR abs/2012.08296 (2020)
2010 – 2019
- 2018
- [c1]Nicolas Sourbier, Jean-François Nezan, Cyril Tasse, Julien Hascoet:
Optimization of Calibration Algorithms on a Manycore Embedded Platform. SiPS 2018: 164-169
Coauthor Index
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