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Dominique Fourer
Dominique Fourer
Associate Professor at University of Evry Val d'Essonne
Verified email at methyss.com - Homepage
Title
Cited by
Cited by
Year
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
922017
Chirp rate and instantaneous frequency estimation: application to recursive vertical synchrosqueezing
D Fourer, F Auger, K Czarnecki, S Meignen, P Flandrin
IEEE Signal Processing Letters 24 (11), 1724-1728, 2017
822017
Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT
D Fourer, F Auger, P Flandrin
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
362016
The ASTRES toolbox for mode extraction of non-stationary multicomponent signals
D Fourer, J Harmouche, J Schmitt, T Oberlin, S Meignen, F Auger, ...
2017 25th European Signal Processing Conference (EUSIPCO), 1130-1134, 2017
342017
A fast time-frequency multi-window analysis using a tuning directional kernel
K Czarnecki, D Fourer, F Auger, M Rojewski
Signal Processing 147, 110-119, 2018
262018
Automatic timbre classification of ethnomusicological audio recordings
D Fourer, JL Rouas, P Hanna, M Robine
International Society for Music Information Retrieval Conference (ISMIR 2014), 2014
242014
On the use of concentrated time–frequency representations as input to a deep convolutional neural network: Application to non intrusive load monitoring
S Houidi, D Fourer, F Auger
Entropy 22 (9), 911, 2020
232020
Multivariate event detection methods for non-intrusive load monitoring in smart homes and residential buildings
S Houidi, F Auger, HBA Sethom, D Fourer, L Miègeville
Energy and Buildings 208, 109624, 2020
232020
Second-order time-reassigned synchrosqueezing transform: Application to draupner wave analysis
D Fourer, F Auger
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
222019
Local AM/FM parameters estimation: Application to sinusoidal modeling and blind audio source separation
D Fourer, F Auger, G Peeters
IEEE Signal Processing Letters 25 (10), 1600-1604, 2018
212018
DReaM: a novel system for joint source separation and multi-track coding
S Marchand, R Badeau, C Baras, L Daudet, D Fourer, L Girin, S Gorlow, ...
AES 2012-133rd AES Convention, CD 133papers, 2012
142012
Statistical assessment of abrupt change detectors for non-intrusive load monitoring
S Houidi, F Auger, HBA Sethom, L Miègeville, D Fourer, X Jiang
2018 IEEE International Conference on Industrial Technology (ICIT), 1314-1319, 2018
132018
L’UNIVERSITÉ BORDEAUX
D FOURER
Université Bordeaux 1, 2013
132013
Comparative evaluation of non-intrusive load monitoring methods using relevant features and transfer learning
S Houidi, D Fourer, F Auger, HBA Sethom, L Miègeville
Energies 14 (9), 2726, 2021
122021
Fast and adaptive blind audio source separation using recursive Levenberg-Marquardt synchrosqueezing
D Fourer, G Peeters
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
122018
Synthetic Evidential Study as Augmented Collective Thought Process− Preliminary Report
T Nishida, M Abe, T Ookaki, D Lala, S Thovuttikul, H Song, Y Mohammad, ...
Asian Conference on Intelligent Information and Database Systems (ACIIDS …, 2015
102015
Relevant feature selection for home appliances recognition
S Houidi, F Auger, HBA Sethom, D Fourer, L Miègeville
Electrimacs 2017, 2017
92017
Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks
K Abratkiewicz, K Czarnecki, D Fourer, F Auger
2017 Signal Processing Symposium (SPSympo), 1-6, 2017
82017
Design of an electricity consumption measurement system for Non Intrusive Load Monitoring
S Houidi, F Auger, P Frétaud, D Fourer, L Miègeville, HBA Sethom
2019 10th International Renewable Energy Congress (IREC), 1-6, 2019
72019
Deep learning methods for MRI brain tumor segmentation: a comparative study
I Brahim, D Fourer, V Vigneron, H Maaref
2019 Ninth International Conference on Image Processing Theory, Tools and …, 2019
62019
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