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Antoine Lavignotte
Antoine Lavignotte
Directeur d'études, Full Professor, Télécom SudParis
Verified email at telecom-sudparis.eu
Title
Cited by
Cited by
Year
Predicting optical power excursions in erbium doped fiber amplifiers using neural networks
M Freire, S Mansfeld, D Amar, F Gillet, A Lavignotte, C Lepers
Asia Communications and Photonics Conference, Su3C. 7, 2018
192018
Solving security constraints for 5G slice embedding: A proof-of-concept
F Boutigny, S Betgé-Brezetz, G Blanc, A Lavignotte, H Debar, H Jmila
Computers & Security 89, 101662, 2020
102020
Multi-provider secure virtual network embedding
F Boutigny, S Betge-Brezetz, H Debar, G Blanc, A Lavignotte, I Popescu
2018 9th IFIP International Conference on New Technologies, Mobility and …, 2018
102018
Reinforcement learning for compensating power excursions in amplified WDM systems
M Freire-Hermelo, D Sengupta, A Lavignotte, C Tremblay, C Lepers
Journal of Lightwave Technology 39 (21), 6805-6813, 2021
82021
Quality of Experience, a very personal experience!
A Lavignotte, C Gravier, J Subercaze, J Fayolle
2013 24th International Workshop on Database and Expert Systems Applications …, 2013
52013
Dynamic power implementation with reinforcement learning for excursion-free amplified optical systems
MF Hermelo, D Sengupta, A Lavignotte, C Tremblay, C Lepers
24th International Conference on Optical Network Design and Modelling, 2020
32020
Fault prediction for heterogeneous telecommunication networks using machine learning: a survey
K Murphy, A Lavignotte, C Lepers
IEEE Transactions on Network and Service Management, 2023
22023
Experimental characterization of an SOA-based photonic integrated switch
M Freire, EDC Rodrigues, A Surampudi, F Gillet, C Ware, A Lavignotte, ...
Asia Communications and Photonics Conference, Su4C. 4, 2018
22018
Dynamic modulation format and wavelength assignment in optical networks using reinforcement learning
M Freire-Hermelo, A Lavignotte, C Lepers
Photonic Networks and Devices, NeF2B. 4, 2021
12021
Quality of experience in 3d multimedia
A Lavignotte, C Gravier, J Subercaze, J Fayolle
International Conference on Enterprise Information Systems, 119-125, 2013
12013
Fault Prediction for Optical Access Network Equipment using Decision Tree Methods
K Murphy, A Lavignotte, C Lepers
2023 Asia Communications and Photonics Conference/2023 International …, 2023
2023
Fault Prediction for Heterogeneous Networks using Machine Learning: a Survey
K Murphy, C Lepers
Authorea Preprints, 2023
2023
Optical amplifier control in optical networks using machine learning
C Lepers, M Freire-Hermelo, A Lavignotte, D Sengupta, C Tremblay
Photonic Networks and Devices, NeM3B. 5, 2020
2020
Learning fast is painful
T Bouganim, A Araldo, A Lavignotte, N Oussedik, G Guez
2020
Machine learning for optical amplifier control in optical networks
MJF Hermelo, F Gillet, A Lavignotte, C Lepers
JNOG 2019: 39ème Journées Nationales d'Optique Guidée, 2019
2019
Prise en compte de la qualité de l’expérience utilisateur au sein des protocoles de streaming HTTP adaptatifs
A Lavignotte
Saint-Etienne, 2014
2014
Learning Fast is Painful: Reinforcement Learning for Edge Computing Allocation
T Bouganim, A Araldo, A Lavignotte, N Oussedik, G Guez
Analyse d’une attaque par canaux cachés au sein d’un réseau d’accès FTTH
A Lavignotte
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