nicolas tremblay
nicolas tremblay
CNRS
Email verificata su gipsa-lab.fr - Home page
TitoloCitata daAnno
Graph wavelets for multiscale community mining
N Tremblay, P Borgnat
IEEE Transactions on Signal Processing 62 (20), 5227-5239, 2014
1042014
Strip, bind, and search: a method for identifying abnormal energy consumption in buildings
R Fontugne, J Ortiz, N Tremblay, P Borgnat, P Flandrin, K Fukuda, ...
2013 ACM/IEEE International Conference on Information Processing in Sensor …, 2013
842013
Random sampling of bandlimited signals on graphs
G Puy, N Tremblay, R Gribonval, P Vandergheynst
Applied and Computational Harmonic Analysis 44 (2), 446-475, 2018
752018
Compressive spectral clustering
N Tremblay, G Puy, R Gribonval, P Vandergheynst
Proceedings of the 33 rd International Conference on Machine Learning …, 2016
672016
Subgraph-based filterbanks for graph signals
N Tremblay, P Borgnat
IEEE Transactions on Signal Processing 64 (15), 3827-3840, 2016
582016
A dynamical network view of lyon’s vélo’v shared bicycle system
P Borgnat, C Robardet, P Abry, P Flandrin, JB Rouquier, N Tremblay
Dynamics On and Of Complex Networks, Volume 2, 267-284, 2013
332013
Multiscale anisotropic texture analysis and classification of photographic prints: Art scholarship meets image processing algorithms
P Abry, SG Roux, H Wendt, P Messier, AG Klein, N Tremblay, P Borgnat, ...
IEEE Signal Processing Magazine 32 (4), 18-27, 2015
322015
Probing slow dynamics of consolidated granular multicomposite materials by diffuse acoustic wave spectroscopy
N Tremblay, E Larose, V Rossetto
The Journal of the Acoustical Society of America 127 (3), 1239-1243, 2010
282010
Compressive K-means
N Keriven, N Tremblay, Y Traonmilin, R Gribonval
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
272017
Approximate fast graph Fourier transforms via multilayer sparse approximations
L Le Magoarou, R Gribonval, N Tremblay
IEEE transactions on Signal and Information Processing over Networks 4 (2 …, 2017
242017
Multiscale community mining in networks using spectral graph wavelets
N Tremblay, P Borgnat
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
212013
Accelerated spectral clustering using graph filtering of random signals
N Tremblay, G Puy, P Borgnat, R Gribonval, P Vandergheynst
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
202016
Design of graph filters and filterbanks
N Tremblay, P Gonçalves, P Borgnat
Cooperative and Graph Signal Processing, 299-324, 2018
172018
Mining anomalous electricity consumption using ensemble empirical mode decomposition
R Fontugne, N Tremblay, P Borgnat, P Flandrin, H Esaki
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
162013
Graph sampling with determinantal processes
N Tremblay, PO Amblard, S Barthelmé
2017 25th European Signal Processing Conference (EUSIPCO), 1674-1678, 2017
152017
Graph empirical mode decomposition
N Tremblay, P Borgnat, P Flandrin
2014 22nd European Signal Processing Conference (EUSIPCO), 2350-2354, 2014
102014
Optimized algorithms to sample determinantal point processes
N Tremblay, S Barthelme, PO Amblard
arXiv preprint arXiv:1802.08471, 2018
82018
Multi-scale structural community organisation of the human genome
RE Boulos, N Tremblay, A Arneodo, P Borgnat, B Audit
BMC bioinformatics 18 (1), 209, 2017
82017
Bootstrapping under constraint for the assessment of group behavior in human contact networks
N Tremblay, A Barrat, C Forest, M Nornberg, JF Pinton, P Borgnat
Physical Review E 88 (5), 052812, 2013
8*2013
Structure, thermodynamics and dynamics of the isotropic phase of spherical non-ionic surfactant micelles
K Tse-Ve-Koon, N Tremblay, D Constantin, É Freyssingeas
Journal of colloid and interface science 393, 161-173, 2013
82013
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20