Pierre Borgnat
Pierre Borgnat
Research Director, CNRS, ENS Lyon, Physics Laboratory (LP ENSL)
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Mawilab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
R Fontugne, P Borgnat, P Abry, K Fukuda
Co-NEXT '10: Proceedings of the 6th International COnference on emerging …, 2010
Shared bicycles in a city: A signal processing and data analysis perspective
P Borgnat, P Abry, P Flandrin, C Robardet, JB Rouquier, E Fleury
Advances in Complex Systems 14 (03), 415-438, 2011
Seven years and one day: Sketching the evolution of internet traffic
P Borgnat, G Dewaele, K Fukuda, P Abry, K Cho
IEEE INFOCOM 2009, 711-719, 2009
Time-frequency energy distributions meet compressed sensing
P Flandrin, P Borgnat
IEEE Transactions on Signal Processing 58 (6), 2974-2982, 2010
Graph wavelets for multiscale community mining
N Tremblay, P Borgnat
IEEE Transactions on Signal Processing 62 (20), 5227-5239, 2014
Non-gaussian and long memory statistical characterizations for internet traffic with anomalies
A Scherrer, N Larrieu, P Owezarski, P Borgnat, P Abry
IEEE Transactions on Dependable and Secure Computing 4 (1), 56-70, 2007
Extracting hidden anomalies using sketch and non gaussian multiresolution statistical detection procedures
G Dewaele, K Fukuda, P Borgnat, P Abry, K Cho
Proceedings of the 2007 workshop on Large scale attack defense, 145-152, 2007
Testing stationarity with surrogates: A time-frequency approach
P Borgnat, P Flandrin, P Honeine, C Richard, J Xiao
IEEE Transactions on Signal Processing 58 (7), 3459-3470, 2010
From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset
M Vogel, R Hamon, G Lozenguez, L Merchez, P Abry, J Barnier, ...
Journal of Transport Geography 41, 280-291, 2014
The sliding singular spectrum analysis: a data-driven nonstationary signal decomposition tool
J Harmouche, D Fourer, F Auger, P Borgnat, P Flandrin
IEEE Transactions on Signal Processing 66 (1), 251-263, 2017
Description and simulation of dynamic mobility networks
A Scherrer, P Borgnat, E Fleury, JL Guillaume, C Robardet
Computer Networks 52 (15), 2842-2858, 2008
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, ...
Proceedings of the 12th international conference on Information processing …, 2013
Trend filtering via empirical mode decompositions
A Moghtaderi, P Flandrin, P Borgnat
Computational Statistics & Data Analysis 58, 114-126, 2013
Subgraph-based filterbanks for graph signals
N Tremblay, P Borgnat
IEEE Transactions on Signal Processing 64 (15), 3827-3840, 2016
Design of graph filters and filterbanks
N Tremblay, P Gonçalves, P Borgnat
Cooperative and Graph Signal Processing, 299-324, 2018
Scaling in internet traffic: a 14 year and 3 day longitudinal study, with multiscale analyses and random projections
R Fontugne, P Abry, K Fukuda, D Veitch, K Cho, P Borgnat, H Wendt
IEEE/ACM Transactions on Networking 25 (4), 2152-2165, 2017
Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs
B Ricaud, P Borgnat, N Tremblay, P Gonçalves, P Vandergheynst
Comptes Rendus Physique 20 (5), 474-488, 2019
Investigating self-similarity and heavy-tailed distributions on a large-scale experimental facility
P Loiseau, P Gonçalves, G Dewaele, P Borgnat, P Abry, PVB Primet
IEEE/ACM Transactions on Networking 18 (4), 1261-1274, 2010
From stationarity to self-similarity, and back: Variations on the Lamperti transformation
P Flandrin, P Borgnat, PO Amblard
Processes with long-range correlations: Theory and applications, 88-117, 2003
Empirical mode decomposition revisited by multicomponent non-smooth convex optimization
N Pustelnik, P Borgnat, P Flandrin
Signal Processing 102, 313-331, 2014
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Artículos 1–20