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Nicolas Bernard
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Books and Theses
- 2008
- [b1]Nicolas Bernard:
Non-observabilité des communications à faible latence. (Unobservability of low-latency communications). Joseph Fourier University, Grenoble, France, 2008
Journal Articles
- 2022
- [j6]Jean-Marie Guihal, François Auger, Nicolas Bernard, Emmanuel Schaeffer:
Efficient Implementation of Continuous-Discrete Extended Kalman Filters for State and Parameter Estimation of Nonlinear Dynamic Systems. IEEE Trans. Ind. Informatics 18(5): 3077-3085 (2022) - 2021
- [j5]Raluca Chitic, Franck Leprévost, Nicolas Bernard:
Evolutionary algorithms deceive humans and machines at image classification: an extended proof of concept on two scenarios. J. Inf. Telecommun. 5(1): 121-143 (2021) - 2019
- [j4]S. Hmam, Jean-Christophe Olivier, Salvy Bourguet, Luc Loron, Nicolas Bernard, Emmanuel Schaeffer:
A cycle-based formulation for the simulation of multi time-scale systems - Application to the modeling of the storage system of a fully electric ferry. Math. Comput. Simul. 158: 403-417 (2019) - 2017
- [j3]Linh Dang, Nicolas Bernard, Nicolas Bracikowski, Gérard Berthiau:
Design Optimization with Flux Weakening of High-Speed PMSM for Electrical Vehicle Considering the Driving Cycle. IEEE Trans. Ind. Electron. 64(12): 9834-9843 (2017) - 2012
- [j2]Nicolas Bernard, Franck Leprévost:
Hardened Bloom Filters, with an Application to Unobservability. Ann. UMCS Informatica 12(4): 11-22 (2012) - 2009
- [j1]Nicolas Bernard, Franck Leprévost, Michael Pohst:
Jacobians of Genus-2 Curves with a Rational Point of Order 11. Exp. Math. 18(1): 65-70 (2009)
Conference and Workshop Papers
- 2021
- [c6]Jean-Marie Guihal, François Auger, Nicolas Bernard, Emmanuel Schaeffer:
A New Diagonally Implicit Implementation of the Continuous-Discrete Extended Kalman Filters for State and Parameter Estimation of Nonlinear Dynamic Systems. IECON 2021: 1-8 - [c5]Raluca Chitic, Nathan Deridder, Franck Leprévost, Nicolas Bernard:
Robustness of Adversarial Images Against Filters. OLA 2021: 101-114 - 2020
- [c4]Raluca Chitic, Nicolas Bernard, Franck Leprévost:
A Proof of Concept to Deceive Humans and Machines at Image Classification with Evolutionary Algorithms. ACIIDS (2) 2020: 467-480 - [c3]Jean-Marie Guihal, François Auger, Emmanuel Schaeffer, Nicolas Bernard:
Parameter Estimation With Continuous-Discrete Extended Kalman Filters Using Implicit Integration Methods. ISIE 2020: 172-178 - 2018
- [c2]Nicolas Bernard, Franck Leprévost:
Evolutionary Algorithms for Convolutional Neural Network Visualisation. CARLA 2018: 18-32 - 2011
- [c1]Nicolas Bernard, Franck Leprévost:
Beyond TOR: The TrueNyms Protocol. SIIS 2011: 68-84
Coauthor Index
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