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ORCIDStéphane Paquelet
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2020 – today
- 2024
[j10]Taha Yassine
, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet:
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. IEEE Trans. Wirel. Commun. 23(10): 14702-14714 (2024)- [c27]Vincent Lannurien, Camélia Slimani, Laurent d'Orazio, Olivier Barais, Stéphane Paquelet, Jalil Boukhobza:
HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge - The Case of IDS. CCGrid 2024: 587-597 - [c26]Moussa Baddour, Stéphane Paquelet, Paul Rollier, Marie de Tayrac, Olivier Dameron, Thomas Labbé:
Phenotypes Extraction from Text: Analysis and Perspective in the LLM Era. IS 2024: 1-8 - [c25]Sarra Baghdadi, Majd Saleh, Stéphane Paquelet:
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers. IS 2024: 1-6 - [i13]Majd Saleh, Stéphane Paquelet:
Anatomy of Neural Language Models. CoRR abs/2401.03797 (2024) - [i12]Majd Saleh, Sarra Baghdadi, Stéphane Paquelet:
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers. CoRR abs/2406.19526 (2024) - 2023
- [j9]Thanh Huan Vo, Guillaume Chauvet, André Happe, Emmanuel Oger, Stéphane Paquelet, Valérie Garès:
Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data system. Comput. Stat. Data Anal. 179: 107656 (2023) - [c24]Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou:
Model-Based Deep Learning for Beam Prediction Based on a Channel Chart. ACSSC 2023: 1636-1640 - [c23]Vincent Lannurien, Laurent d'Orazio, Olivier Barais, Esther Bernard, Olivier Weppe, Laurent Beaulieu, Amine Kacete, Stéphane Paquelet, Jalil Boukhobza:
HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud - An Application to Deepfake Detection. CCGrid 2023: 154-165 - [c22]Majd Saleh, Stéphane Paquelet, Pierre Castel, Marc Hoarau, Nico Pallamin, Daniel Lewkowicz:
An Efficient Deep-Learning-Based Solution for the Recognition of Relative Changes in Mental Workload Using Wearable Sensors. SENSORS 2023: 1-4 - [i11]Matthieu Delmas, Amine Kacete, Stéphane Paquelet, Simon Leglaive, Renaud Séguier:
LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space. CoRR abs/2303.17222 (2023) - [i10]Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stéphane Paquelet:
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. CoRR abs/2310.03762 (2023) - [i9]Taha Yassine, Baptiste Chatelier, Vincent Corlay, Matthieu Crussière, Stéphane Paquelet, Olav Tirkkonen, Luc Le Magoarou:
Model-based Deep Learning for Beam Prediction based on a Channel Chart. CoRR abs/2312.02239 (2023) - 2022
- [c21]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Channel charting based beamforming. IEEECONF 2022: 1185-1189 - [c20]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Deep Learning for Location Based Beamforming with Nlos Channels. ICASSP 2022: 8812-8816 - [c19]Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière:
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. SPAWC 2022: 1-5 - [i8]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Deep learning for location based beamforming with NLOS channels. CoRR abs/2201.01386 (2022) - [i7]Taha Yassine, Luc Le Magoarou, Stéphane Paquelet, Matthieu Crussière:
Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting. CoRR abs/2204.13996 (2022) - [i6]Luc Le Magoarou, Taha Yassine, Stéphane Paquelet, Matthieu Crussière:
Channel charting based beamforming. CoRR abs/2212.12340 (2022) - 2021
- [j8]Ali Zeineddine, Amor Nafkha, Stéphane Paquelet, Christophe Moy, Pierre-Yves Jezequel:
Comprehensive Survey of FIR-Based Sample Rate Conversion. J. Signal Process. Syst. 93(1): 113-125 (2021) - 2020
- [j7]Luc Le Magoarou, Stéphane Paquelet:
Channel Estimation: Unified View of Optimal Performance and Pilot Sequences. IEEE Trans. Signal Process. 68: 5588-5601 (2020) - [c18]Matthieu Roy, Stéphane Paquelet, Matthieu Crussière:
Cluster Extrapolation for FDD Downlink MIMO Precoding. PIMRC 2020: 1-6
2010 – 2019
- 2019
- [j6]Samer Bazzi, Stelios Stefanatos, Luc Le Magoarou, Salah Eddine Hajri, Mohamad Assaad, Stéphane Paquelet, Gerhard Wunder, Wen Xu:
Exploiting the Massive MIMO Channel Structural Properties for Minimization of Channel Estimation Error and Training Overhead. IEEE Access 7: 32434-32452 (2019) - [j5]Stéphane Paquelet, Ali Zeineddine, Amor Nafkha, Pierre-Yves Jezequel, Christophe Moy:
Convergence of the Newton Structure Transfer Function to the Ideal Fractional Delay Filter. IEEE Signal Process. Lett. 26(9): 1354-1358 (2019) - [c17]Matthieu Roy, Stéphane Paquelet, Matthieu Crussière:
Degrees of Freedom of Ray-Based Models for mm-Wave Wideband MIMO-OFDM. GLOBECOM 2019: 1-6 - [c16]Ali Zeineddine, Stéphane Paquelet, Amor Nafkha, Pierre-Yves Jezequel, Christophe Moy:
Efficient Arbitrary Sample Rate Conversion for Multi-Standard Digital Front-Ends. NEWCAS 2019: 1-4 - [c15]Luc Le Magoarou, Antoine Le Calvez, Stéphane Paquelet:
Massive MIMO Channel Estimation taking into account spherical waves. SPAWC 2019: 1-5 - [i5]Luc Le Magoarou, Stéphane Paquelet:
Performance of MIMO channel estimation with a physical model. CoRR abs/1902.07031 (2019) - 2018
- [j4]Stéphane Paquelet, Vincent Savaux:
On the symmetry of FIR filter with linear phase. Digit. Signal Process. 81: 57-60 (2018) - [c14]Ali Zeineddine, Stéphane Paquelet, M. Kanj, Christophe Moy, Amor Nafkha, Pierre-Yves Jezequel:
Reconfigurable Newton Structure for Sample Rate Conversion. GlobalSIP 2018: 271-275 - [c13]Ali Zeineddine, Amor Nafkha, Christophe Moy, Stéphane Paquelet, Pierre-Yves Jezequel:
Variable Fractional Delay Filter: A Novel Architecture Based on Hermite Interpolation. ICT 2018: 93-97 - [c12]Ali Zeineddine, Stéphane Paquelet, Amor Nafkha, Christophe Moy, Pierre-Yves Jezequel:
Generalization and Coefficients Optimization of the Newton Structure. ICT 2018: 98-103 - [c11]Luc Le Magoarou, Stéphane Paquelet:
Parametric Channel Estimation for Massive MIMO. SSP 2018: 30-34 - [c10]Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière:
MIMO Channel Hardening for Ray-based Models. WiMob 2018: 1-7 - [i4]Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière:
MIMO Channel Hardening: A Physical Model based Analysis. CoRR abs/1804.07491 (2018) - [i3]Luc Le Magoarou, Stéphane Paquelet:
Bias-variance tradeoff in MIMO channel estimation. CoRR abs/1804.07529 (2018) - [i2]Antoine Le Calvez, Luc Le Magoarou, Stéphane Paquelet:
Massive MIMO channel estimation taking into account spherical waves. CoRR abs/1811.05669 (2018) - 2017
- [c9]Pape-Abdoulaye Fam, Matthieu Crussière, Stéphane Paquelet, Jean-François Hélard, Pierre Bretillon:
Energy efficiency of hybrid unicast-broadcast networks for mobile TV services. PIMRC 2017: 1-7 - [i1]Luc Le Magoarou, Stéphane Paquelet:
Parametric channel estimation for massive MIMO. CoRR abs/1710.08214 (2017) - 2016
- [j3]Pape-Abdoulaye Fam, Stéphane Paquelet, Matthieu Crussière, Jean-François Hélard, Pierre Bretillon:
Analytical Derivation and Optimization of a Hybrid Unicast-Broadcast Network for Linear Services. IEEE Trans. Broadcast. 62(4): 890-902 (2016) - [c8]Pape-Abdoulaye Fam, Stéphane Paquelet, Matthieu Crussière, Jean-François Hélard, Pierre Bretillon:
Optimal capacity of hybrid unicast-broadcast networks for mobile TV services. BMSB 2016: 1-5 - 2015
- [c7]Pape-Abdoulaye Fam, Matthieu Crussière, Jean-François Hélard, Pierre Bretillon, Stéphane Paquelet:
Global throughput maximization of a hybrid unicast-broadcast network for linear services. ISWCS 2015: 146-150 - 2014
- [c6]Gael Kamdem De Teyou, Hervé Petit, Patrick Loumeau, Hussein Fakhoury, Yann Le Guillou, Stéphane Paquelet:
Statistical analysis of noise in broadband and high resolution ADCs. ICECS 2014: 490-493 - 2013
- [j2]Dominique Morche, Gilles Masson, Sébastien de Rivaz, Francois Dehmas, Stéphane Paquelet, Alexis Bisiaux, Olivier Fourquin, Jean Gaubert, Sylvain Bourdel:
Double-Quadrature UWB Receiver for Wide-Range Localization Applications With Sub-cm Ranging Precision. IEEE J. Solid State Circuits 48(10): 2351-2362 (2013) - [c5]Stéphane Paquelet, Gael Kamdem De Teyou, Yann Le Guillou:
TI-ADCs SFDR requirement analysis. NEWCAS 2013: 1-4 - 2011
- [c4]Mohamad Mroué, Stéphane Paquelet, Ghaïs El Zein, Sylvain Haese:
Channel capacity evaluation of a non-coherent IR-UWB system for HDR WPAN applications. ICT 2011: 539-543 - 2010
- [c3]Gilles Masson, Dominique Morche, Hélène Jacquinot, Pierre Vincent, François Dehmas, Stéphane Paquelet, Alexis Bisiaux, Olivier Fourquin, Jean Gaubert, Sylvain Bourdel:
A 1 nJ/b 3.2-to-4.7 GHz UWB 50 Mpulses/s double quadrature receiver for communication and localization. ESSCIRC 2010: 502-505 - [c2]Mohamad Mroué, Sylvain Haese, Ghaïs El Zein, Stéphane Mallégol, Stéphane Paquelet:
A non-coherent multi-band IR-UWB HDR transceiver based on energy detection. ICECS 2010: 898-901
2000 – 2009
- 2005
- [j1]Luis López, Gemma del Rey Almansa, Stéphane Paquelet, Antonio Fernández:
A mathematical model for the TCP Tragedy of the Commons. Theor. Comput. Sci. 343(1-2): 4-26 (2005) - [c1]Christophe Moy, Alexis Bisiaux, Stéphane Paquelet:
An ultra-wide band umbilical cord for cognitive radio systems. PIMRC 2005: 775-779
Coauthor Index
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