André Ferrari

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 36

Top Topics

Top Venues

IEEE Trans. Signal Process.

Publications

André Ferrari, Cédric Richard, Anthony Bourrier, Ikram Bouchikhi
Online change-point detection with kernels. Pattern Recognit. 133 (2023)
Martijn van den Ende, Itzhak Lior, Jean-Paul Ampuero, Anthony Sladen, André Ferrari, Cédric Richard
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Thierry Montagu, André Ferrari
Variance Stabilizing Transformations for Intensity Estimators of Shot Noise. IEEE Signal Process. Lett. 30 (2023)
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, André Ferrari
DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs. ACSSC (2023)
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. EUSIPCO (2022)
Yacine Khacef, Martijn van den Ende, André Ferrari, Cédric Richard, Anthony Sladen
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing. IEEECONF (2022)
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing. ACSCC (2021)
André Ferrari, Cédric Richard
Non-parametric Community Change-points Detection in Streaming Graph Signals. ICASSP (2020)
Dionisio Carvalho, Alexandre J. Aragão, André Ferrari, Bruno Sanches, Wilhelmus A. M. Van Noije
Software-Defined Radio Assessment for Microwave Imaging Breast Cancer Detection. NorCAS (2020)
R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez
Online Graph-Based Change Point Detection in Multiband Image Sequences. EUSIPCO (2020)
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
Kernel Based Online Change Point Detection. EUSIPCO (2019)
André Ferrari, Cédric Richard, Louis Verduci
Distributed Change Detection in Streaming Graph Signals. CoRR (2019)
André Ferrari, Cédric Richard, Louis Verduci
Distributed Change Detection in Streaming Graph Signals. CAMSAP (2019)
Rémi Flamary, Karim Lounici, André Ferrari
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR (2019)
Mickaël Seznec, Nicolas Gac, André Ferrari, François Orieux
A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution. SiPS (2018)
Rita Ammanouil, André Ferrari, Cédric Richard
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator. ICASSP (2018)
Celine Meillier, Rita Ammanouil, André Ferrari, Pascal Bianchi
Distribution strategies for very large 3D image deconvolution algorithms. Signal Process. Image Commun. 67 (2018)
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation. SSP (2018)
Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal
Robust Calibration of Radio Interferometers in Multi-Frequency Scenario. ICASSP (2018)
Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal
Bayesian Calibration Using Different Prior Distributions: An Iterative Maximum A Posteriori Approach for Radio Interferometers. EUSIPCO (2018)
Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal
Robust distributed calibration of radio interferometers with direction dependent distortions. Signal Process. 153 (2018)
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. CoRR (2017)
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. EUSIPCO (2017)
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
Distributed approach for deblurring large images with shift-variant blur. EUSIPCO (2017)
Rita Ammanouil, André Ferrari, Cédric Richard, Sandrine Mathieu
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions. IEEE Trans. Image Process. 26 (1) (2017)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints. IEEE Trans. Signal Process. 65 (19) (2017)
Loïc Denis, André Ferrari, David Mary, Laurent M. Mugnier, Éric Thiébaut
Fast and robust detection of a known pattern in an image. EUSIPCO (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Distributed learning over multitask networks with linearly related tasks. ACSSC (2016)
Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
Diffusion LMS over multitask networks with noisy links. ICASSP (2016)
Rita Ammanouil, André Ferrari, Cédric Richard, Jean-Yves Tourneret
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions. SSP (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints. CoRR (2016)
Rita Ammanouil, André Ferrari, Cédric Richard
Unsupervised neighbor dependent nonlinear unmixing. ICASSP (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization. IEEE Trans. Signal Process. 64 (23) (2016)
Jeremy Deguignet, André Ferrari, David Mary, Chiara Ferrari
Distributed multi-frequency image reconstruction for radio-interferometry. EUSIPCO (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Multitask Diffusion Adaptation Over Asynchronous Networks. IEEE Trans. Signal Process. 64 (11) (2016)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization. CoRR (2015)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Multitask diffusion LMS with sparsity-based regularization. ICASSP (2015)
Rita Ammanouil, André Ferrari, Cédric Richard
Hyperspectral data unmixing with graph-based regularization. WHISPERS (2015)
Antony Schutz, André Ferrari, David Mary, Éric Thiébaut, Ferréol Soulez
Large scale 3D image reconstruction in optical interferometry. EUSIPCO (2015)
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
Distributed image reconstruction for very large arrays in radio astronomy. CoRR (2015)
Rita Ammanouil, André Ferrari, Cédric Richard
A graph Laplacian regularization for hyperspectral data unmixing. ICASSP (2015)
David Mary, André Ferrari
A non-asymptotic standardization of binomial counts in Higher Criticism. ISIT (2014)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Multitask diffusion adaptation over asynchronous networks. CoRR (2014)
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
GLUP: Yet another algorithm for blind unmixing of hyperspectral data. WHISPERS (2014)
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
Performance analysis of multitask diffusion adaptation over asynchronous networks. ACSSC (2014)
Antony Schutz, André Ferrari, David Mary, Ferréol Soulez, Éric Thiébaut, Martin Vannier
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry. CoRR (2014)
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Subspace learning in minimax detection. ICASSP (2014)
Rita Ammanouil, André Ferrari, Cédric Richard
A graph Laplacian regularization for hyperspectral data unmixing. CoRR (2014)
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
Distributed image reconstruction for very large arrays in radio astronomy. SAM (2014)
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
Blind and Fully Constrained Unmixing of Hyperspectral Images. IEEE Trans. Image Process. 23 (12) (2014)
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios. IEEE Trans. Signal Process. 62 (22) (2014)
David Mary, André Ferrari, Silvia Paris
Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument. ICIP (2014)
Jie Chen, Cédric Richard, André Ferrari, Paul Honeine
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression. ICASSP (2013)
Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data. ICASSP (2013)
Silvia Paris, David Mary, André Ferrari
Detection Tests Using Sparse Models, With Application to Hyperspectral Data. IEEE Trans. Signal Process. 61 (6) (2013)
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
Minimax sparse detection based on one-class classifiers. ICASSP (2013)
Petar M. Djuric, André Ferrari
Models with products of Dirichlet processes. ICASSP (2013)
Petar M. Djuric, André Ferrari
Classification of multivariate data using Dirichlet process mixture models. ACSCC (2012)
Andrea Abelli, André Ferrari, Salvatore Monaco, Cédric Richard
Adaptive inverse control using kernel identification. ACC (2012)
Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo
Stationnarité relative et approches connexes. Traitement du Signal 28 (6) (2011)
Pierre Borgnat, Patrick Flandrin, André Ferrari, Cédric Richard
Transitional surrogates. ICASSP (2011)
Silvia Paris, David Mary, André Ferrari, Sébastien Bourguignon
Sparsity-based composite detection tests. application to astrophysical hyperspectral data. EUSIPCO (2011)
Silvia Paris, David Mary, André Ferrari
PDR and LRMAP detection tests applied to massive hyperspectral data. CAMSAP (2011)
Isabelle Smith, André Ferrari
Bayesian detection with the posterior distribution of the likelihood ratio. EUSIPCO (2010)
Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity. ICASSP (2010)
Isabelle Smith, André Ferrari, Marcel Carbillet
Detection of a Moving Source in Speckle Noise. Application to Exoplanet Detection. IEEE Trans. Signal Process. 57 (3) (2009)
Isabelle Smith, André Ferrari
Detection from a multi-channel sensor using a hierarchical Bayesian model. ICASSP (2009)
Isabelle Smith, André Ferrari, Marcel Carbillet
Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging. ICASSP (2008)
Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari
Bivariate Gamma Distributions for Image Registration and Change Detection. IEEE Trans. Image Process. 16 (7) (2007)
Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari
Parameter estimation for multivariate gamma distributions. EUSIPCO (2006)
Florent Chatelain, André Ferrari, Jean-Yves Tourneret
Parameter Estimation for Multivariate Mixed Poisson Distributions. ICASSP (3) (2006)
André Ferrari, Jean-Yves Tourneret
Detection performance for discrete test statistics. Application to low-flux imagery. ICASSP (2) (2004)
André Ferrari, Gérard Letac, Jean-Yves Tourneret
Multivariate mixed poisson distributions. EUSIPCO (2004)
Jean-Yves Tourneret, André Ferrari, Ananthram Swami
Cramer-Rao lower bounds for change points in additive and multiplicative noise. Signal Process. 84 (7) (2004)
Y. Cavallin, André Ferrari, H. Lanteri
Spectral modes estimation using Whittle-type criterion. Application to stellar speckle interferometry. EUSIPCO (2002)
André Ferrari, Y. Cavallin
Extension of Whittle likelihood to transient signal parameters estimation. Application to stellar speckle interferometry. EUSIPCO (2002)
André Ferrari, Jean-Yves Tourneret, Gérard Alengrin
Parametric modeling of photometric signals. Signal Process. 82 (4) (2002)
Jean-Yves Tourneret, André Ferrari, Gérard Letac
Changepoint detection in multivariate Poisson distributions. ICASSP (2002)
Céline Theys, André Ferrari, Michelle Vieira
Marginal Bayesian analysis of polynomial-phase signals. Signal Process. 81 (1) (2001)
André Ferrari, Jean-Yves Tourneret
Statistical analysis of a parametric model for photometric signals. EUSIPCO (2000)
Jean-Yves Tourneret, André Ferrari
Cramer-Rao lower bounds for abrupt change parameters in additive and multiplicative noise. ICASSP (2000)
André Ferrari, Jean-Yves Tourneret, François-Xavier Schmider
Detection of extra solar planets using parametric modeling. ICASSP (1999)
André Ferrari, Jean-Yves Tourneret, Gérard Alengrin
Spectral estimation of a Gaussian signal sampled with jitter. ICASSP (1997)
Céline Theys, Michelle Vieira, André Ferrari
Bayesian estimation of the parameters of a polynomial phase signal using MCMC methods. ICASSP (1997)
André Ferrari, Céline Theys, Gérard Alengrin
Polynomial-phase signal analysis using stationary moments. Signal Process. 54 (3) (1996)
André Ferrari, Céline Theys, Gérard Alengrin
Stationary moments of a polynomial phase signal, application to parameter estimation. EUSIPCO (1996)
Céline Theys, André Ferrari, Gérard Alengrin
Detection and estimation of changes in a polynomial-phase signal using the DPPT. EUSIPCO (1996)
André Ferrari, R. Lorion, Gérard Alengrin
A parametric model for the quadratic sampling of a bandlimited signal. ICASSP (1995)
André Ferrari, Gérard Alengrin
High-order ergodicity of a complex harmonic process. IEEE Trans. Inf. Theory 40 (4) (1994)
Christophe Bérenguer, Céline Theys, André Ferrari, Gérard Alengrin
Overdetermined noise compensation without eigendecomposition for frequency estimation. ICASSP (4) (1993)
André Ferrari, Gérard Alengrin, Céline Theys
Estimation of the fundamental frequency of a noisy sum of cisoids with harmonic related frequencies. ICASSP (1992)
André Ferrari, Gérard Alengrin, Thierry Pitarque
Improvements of a state-space iterative noise reduction algorithm for harmonic retrieval. IEEE Trans. Signal Process. 40 (5) (1992)
André Ferrari, Gérard Alengrin
Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics. ICASSP (1991)
Thierry Pitarque, Gérard Alengrin, André Ferrari, Jean Menez
A new state space algorithm for computing the frequencies of sinusoids in white noise. Signal Process. 22 (3) (1991)
Thierry Pitarque, Gérard Alengrin, André Ferrari
Spectral estimation methods avoiding eigenvector decomposition. ICASSP (1990)