Follow
Roula Nassif
Roula Nassif
Université Côte d'Azur, I3S Laboratory
Verified email at unice.fr - Homepage
Title
Cited by
Cited by
Year
Multitask diffusion adaptation over asynchronous networks
R Nassif, C Richard, A Ferrari, AH Sayed
IEEE Transactions on Signal Processing 64 (11), 2835-2850, 2016
662016
Proximal multitask learning over networks with sparsity-inducing coregularization
R Nassif, C Richard, A Ferrari, AH Sayed
IEEE Transactions on Signal Processing 64 (23), 6329-6344, 2016
642016
Diffusion LMS for multitask problems with local linear equality constraints
R Nassif, C Richard, A Ferrari, AH Sayed
IEEE Transactions on Signal Processing 65 (19), 4979-4993, 2017
532017
Multitask learning over graphs: An approach for distributed, streaming machine learning
R Nassif, S Vlaski, C Richard, J Chen, AH Sayed
IEEE Signal Processing Magazine 37 (3), 14-25, 2020
512020
Distributed diffusion adaptation over graph signals
R Nassif, C Richard, J Chen, AH Sayed
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
412018
Diffusion LMS over multitask networks with noisy links
R Nassif, C Richard, J Chen, A Ferrari, AH Sayed
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
262016
Online graph learning from sequential data
S Vlaski, HP Maretić, R Nassif, P Frossard, AH Sayed
2018 IEEE Data Science Workshop (DSW), 190-194, 2018
242018
Multitask diffusion LMS with sparsity-based regularization
R Nassif, C Richard, A Ferrari, AH Sayed
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
242015
Online distributed learning over graphs with multitask graph-filter models
F Hua, R Nassif, C Richard, H Wang, AH Sayed
IEEE Transactions on Signal and Information Processing over Networks 6, 63-77, 2020
212020
A preconditioned graph diffusion LMS for adaptive graph signal processing
F Hua, R Nassif, C Richard, H Wang, AH Sayed
2018 26th European Signal Processing Conference (EUSIPCO), 111-115, 2018
202018
A graph diffusion LMS strategy for adaptive graph signal processing
R Nassif, C Richard, J Chen, AH Sayed
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1973-1976, 2017
192017
Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis
R Nassif, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 68, 1346-1360, 2020
172020
Learning over Multitask Graphs-Part I: Stability Analysis
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Open Journal of Signal Processing, 2020
172020
A regularization framework for learning over multitask graphs
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Signal Processing Letters 26 (2), 297-301, 2018
172018
Diffusion LMS with communication delays: Stability and performance analysis
F Hua, R Nassif, C Richard, H Wang, AH Sayed
IEEE Signal Processing Letters 27, 730-734, 2020
142020
Distributed inference over networks under subspace constraints
R Nassif, S Vlaski, AH Sayed
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
112019
Learning over Multitask Graphs-Part II: Performance Analysis
R Nassif, S Vlaski, C Richard, AH Sayed
IEEE Open Journal of Signal Processing, 2020
102020
Penalty-based multitask estimation with non-local linear equality constraints
F Hua, R Nassif, C Richard, H Wang
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
102017
Adaptation and learning over networks under subspace constraints—Part II: Performance analysis
R Nassif, S Vlaski, AH Sayed
IEEE Transactions on Signal Processing 68, 2948-2962, 2020
92020
Distributed inference over multitask graphs under smoothness
R Nassif, S Vlaski, AH Sayed
2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018
72018
The system can't perform the operation now. Try again later.
Articles 1–20