Informed spectral analysis for isolated audio source parameters estimation. - Dominique Fourer; Sylvain Marchand (WASPAA, 2011)

Informed multiple-f0 estimation applied to monaural audio source separation. - Dominique Fourer; Sylvain Marchand (EUSIPCO, 2012)

Informed spectral analysis: audio signal parameter estimation using side information. - Dominique Fourer; Sylvain Marchand (EURASIP J. Adv. Signal Process., 2013)

Approche informée pour l'analyse du son et de la musique. (Informed approach applied to sound and music analysis). - Dominique Fourer (2013)

Automatic Instrument Classification of Ethnomusicological Audio Recordings. - Dominique Fourer; Jean-Luc Rouas; Pierre Hanna; Matthias Robine (ISMIR, 2014)

Synthetic Evidential Study as Augmented Collective Thought Process - Preliminary Report. - Toyoaki Nishida; Masakazu Abe; Takashi Ookaki; Divesh Lala; Sutasinee Thovutikul; Hengjie Song; Yasser F. O. Mohammad; Christian Nitschke; Yoshimasa Ohmoto; Atsushi Nakazawa; Takaaki Shochi; Jean-Luc Rouas; et al. (ACIIDS (1), 2015)

Perceptual evaluation of spoken Japanese attitudes. - Takaaki Shochi; Dominique Fourer; Albert Rilliard; Jean-Luc Rouas; Marine Guerry (ICPhS, 2015)

Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT. - Dominique Fourer; François Auger; Patrick Flandrin (ICASSP, 2016)

The ASTRES toolbox for mode extraction of non-stationary multicomponent signals. - Dominique Fourer; Jinane Harmouche; Jeremy Schmitt; Thomas Oberlin; Sylvain Meignen; François Auger; Patrick Flandrin (EUSIPCO, 2017)

Objective characterization of audio signal quality: Applications to music collection description. - Dominique Fourer; Geoffroy Peeters (ICASSP, 2017)

Recursive versions of the reassigned scalogram anc of the synchrosqueezed wavelet transform. - Dominique Fourer; François Auger (DSP, 2017)

Chirp Rate and Instantaneous Frequency Estimation: Application to Recursive Vertical Synchrosqueezing. - Dominique Fourer; François Auger; Krzysztof Czarnecki 002; Sylvain Meignen; Patrick Flandrin (IEEE Signal Process. Lett., 2017)

Fast and Adaptive Blind Audio Source Separation Using Recursive Levenberg-Marquardt Synchrosqueezing. - Dominique Fourer; Geoffroy Peeters (ICASSP, 2018)

Statistical assessment of abrupt change detectors for non-intrusive load monitoring. - Sarra Houidi; François Auger; Houda Ben Attia Sethom; Laurence Miegeville; Dominique Fourer; Xiao Jiang (ICIT, 2018)

Single-Channel Blind Source Separation for Singing Voice Detection: A Comparative Study. - Dominique Fourer; Geoffroy Peeters (CoRR, 2018)

A fast time-frequency multi-window analysis using a tuning directional kernel. - Krzysztof Czarnecki 002; Dominique Fourer; François Auger; Miroslaw Rojewski (Signal Process., 2018)

Local AM/FM Parameters Estimation: Application to Sinusoidal Modeling and Blind Audio Source Separation. - Dominique Fourer; François Auger; Geoffroy Peeters (IEEE Signal Process. Lett., 2018)

The Sliding Singular Spectrum Analysis: A Data-Driven Nonstationary Signal Decomposition Tool. - Jinane Harmouche; Dominique Fourer; François Auger; Pierre Borgnat; Patrick Flandrin (IEEE Trans. Signal Process., 2018)

Methods and Datasets for DJ-Mix Reverse Engineering. - Diemo Schwarz; Dominique Fourer (CMMR, 2019)

Second-order Time-Reassigned Synchrosqueezing Transform: Application to Draupner Wave Analysis. - Dominique Fourer; François Auger (EUSIPCO, 2019)

Deep Learning Methods for MRI Brain Tumor Segmentation: a comparative study. - Ikram Brahim; Dominique Fourer; Vincent Vigneron; Hichem Maaref (IPTA, 2019)

Stroke Thrombus Segmentation on SWAN with Multi-Directional U-Nets. - Jonathan Kobold; Elmar Wolfgang Lang; Ana Maria Tomé; Vincent Vigneron; Hichem Maaref; Dominique Fourer; M. Aghasaryan; C. Alecu; Nicolas Chausson; Yann L'Hermitte; Didier Smadja (IPTA, 2019)

Second-Order Horizontal Synchrosqueezing of the S-transform: a Specific Wavelet Case Study. - Dominique Fourer; François Auger (EUSIPCO, 2020)

On the Use of Concentrated Time-Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring. - Sarra Houidi; Dominique Fourer; François Auger (Entropy, 2020)

Home Electrical Appliances Recordings for NILM. - Sarra Houidi; Dominique Fourer; François Auger; Houda Ben Attia Sethom; Laurence Miegeville (IEEE DataPort, 2020)

A Novel Pseudo-Bayesian Approach for Robust Multi-Ridge Detection and Mode Retrieval. - Quentin Legros; Dominique Fourer (EUSIPCO, 2021)

Honey Bee Queen Presence Detection from Audio Field Recordings Using Summarized Spectrogram and Convolutional Neural Networks. - Agnieszka Orlowska; Dominique Fourer; Jean-Paul Gavini; Dominique Cassou-Ribehart (ISDA, 2021)

Identification of Beehive Piping Audio Signals. - Agnieszka Orlowska; Dominique Fourer (IEEE DataPort, 2021)

Detection and Identification of Beehive Piping Audio Signals. - Dominique Fourer; Agnieszka Orlowska (DCASE, 2022)

Instantaneous Frequency Estimation In Multi-Component Signals Using Stochastic EM Algorithm. - Quentin Legros; Dominique Fourer; Sylvain Meignen; Marcelo Alejandro Colominas (CoRR, 2022)

Time-Frequency Ridge Estimation of Multi-Component Signals using Sparse Modeling of Signal Innovation. - Quentin Legros; Dominique Fourer (CoRR, 2022)

Benchmarks of Multi-Component Signal Analysis Methods. - Juan Manuel Miramont; Quentin Legros; Dominique Fourer; François Auger (EUSIPCO, 2023)

Pseudo-Bayesian Approach for Robust Mode Detection and Extraction Based on the STFT. - Quentin Legros; Dominique Fourer (Sensors, 2023)

Estimation of Instantaneous Frequency and Amplitude of Multi-Component Signals Using Sparse Modeling of Signal Innovation. - Quentin Legros; Dominique Fourer (EUSIPCO, 2024)

A Comparative Evaluation of Self-Supervised Methods Applied to Rock Images Classification. - Van Thao Nguyen; Dominique Fourer; Désiré Sidibé; Jean-François Lecomte; Souhail Youssef (VISIGRAPP (2): VISAPP, 2024)

Model and Deep learning based Dynamic Range Compression Inversion. - Haoran Sun; Dominique Fourer; Hichem Maaref (CoRR, 2024)

Instantaneous Frequency and Amplitude Estimation in Multicomponent Signals Using an EM-Based Algorithm. - Quentin Legros; Dominique Fourer; Sylvain Meignen; Marcelo Alejandro Colominas (IEEE Trans. Signal Process., 2024)

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability. - Ahmad Fall; Federica Granese; Alex Lence; Dominique Fourer; Blaise Hanczar; Joe-Elie Salem; Jean-Daniel Zucker; Edi Prifti (CoRR, 2025)