André Ferrari

100 papers B 2C 1Misc 28Journal 33Unranked 36
YearRankTypeTitle / Venue / Authors
2025 — conf
Multi-Head Architecture for Open-Set Anomaly Detection of Fast Radio Bursts.
CAMSAP
Benjamin Amblard, Sara El Bouch, Mauro Dalla Mura, André Ferrari, Cédric Richard
2025 J jnl
Precision Traffic Monitoring: Leveraging Distributed Acoustic Sensing and Deep Neural Networks.
IEEE Trans. Intell. Transp. Syst.
Yacine Khacef, Martijn van den Ende, Cédric Richard, André Ferrari, Anthony Sladen
2024 — conf
Leveraging Distributed Acoustic Sensing for Vehicle Counting in High-Traffic-Density Environments.
IEEECONF
Yacine Khacef, Cédric Richard, Charles Casimiro Cavalcante, André Ferrari
2024 — conf
Shape measurement of radio galaxies using Equivariant CNNs.
EUSIPCO
Priyamvad Tripathi, Sunrise Wang, Simon Prunet, André Ferrari
2023 J jnl
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data.
IEEE Trans. Neural Networks Learn. Syst.
Martijn van den Ende, Itzhak Lior, Jean-Paul Ampuero, Anthony Sladen, André Ferrari, Cédric Richard
2023 Misc conf
DIstributed Change Point Detection in Streaming Manifold-Valued Signals Over Graphs.
ACSSC
Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, André Ferrari
2023 J jnl
Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data.
IEEE Trans. Intell. Transp. Syst.
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
2023 J jnl
Online change-point detection with kernels.
Pattern Recognit.
André Ferrari, Cédric Richard, Anthony Bourrier, Ikram Bouchikhi
2023 J jnl
Variance Stabilizing Transformations for Intensity Estimators of Shot Noise.
IEEE Signal Process. Lett.
Thierry Montagu, André Ferrari
2022 — conf
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis.
EUSIPCO
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
2022 — conf
Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing.
IEEECONF
Yacine Khacef, Martijn van den Ende, André Ferrari, Cédric Richard, Anthony Sladen
2021 — conf
Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing.
ACSCC
Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard
2020 Misc conf
Non-parametric Community Change-points Detection in Streaming Graph Signals.
ICASSP
André Ferrari, Cédric Richard
2020 — conf
Online Graph-Based Change Point Detection in Multiband Image Sequences.
EUSIPCO
R. A. Borsoi, Cédric Richard, André Ferrari, Jie Chen, José Carlos M. Bermudez
2020 — conf
Software-Defined Radio Assessment for Microwave Imaging Breast Cancer Detection.
NorCAS
Dionisio Carvalho, Alexandre J. Aragão, André Ferrari, Bruno Sanches, Wilhelmus A. M. Van Noije
2019 J jnl
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation.
CoRR
Rémi Flamary, Karim Lounici, André Ferrari
2019 — conf
Distributed Change Detection in Streaming Graph Signals.
CAMSAP
André Ferrari, Cédric Richard, Louis Verduci
2019 J jnl
Distributed Change Detection in Streaming Graph Signals.
CoRR
André Ferrari, Cédric Richard, Louis Verduci
2019 — conf
Kernel Based Online Change Point Detection.
EUSIPCO
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
2018 — conf
A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution.
SiPS
Mickaël Seznec, Nicolas Gac, André Ferrari, François Orieux
2018 Misc conf
ADA-PT: An Adaptive Parameter Tuning Strategy Based on the Weighted Stein Unbiased Risk Estimator.
ICASSP
Rita Ammanouil, André Ferrari, Cédric Richard
2018 — conf
Bayesian Calibration Using Different Prior Distributions: An Iterative Maximum A Posteriori Approach for Radio Interferometers.
EUSIPCO
Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal
2018 J jnl
Distribution strategies for very large 3D image deconvolution algorithms.
Signal Process. Image Commun.
Celine Meillier, Rita Ammanouil, André Ferrari, Pascal Bianchi
2018 — conf
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation.
SSP
Ikram Bouchikhi, André Ferrari, Cédric Richard, Anthony Bourrier, Marc Bernot
2018 Misc conf
Robust Calibration of Radio Interferometers in Multi-Frequency Scenario.
ICASSP
Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal
2018 J jnl
Robust distributed calibration of radio interferometers with direction dependent distortions.
Signal Process.
Virginie Ollier, Mohammed Nabil El Korso, André Ferrari, Rémy Boyer, Pascal Larzabal
2017 J jnl
Diffusion LMS for Multitask Problems With Local Linear Equality Constraints.
IEEE Trans. Signal Process.
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2017 — conf
Distributed approach for deblurring large images with shift-variant blur.
EUSIPCO
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
2017 — conf
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
EUSIPCO
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
2017 J jnl
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
CoRR
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
2017 J jnl
Nonlinear Unmixing of Hyperspectral Data With Vector-Valued Kernel Functions.
IEEE Trans. Image Process.
Rita Ammanouil, André Ferrari, Cédric Richard, Sandrine Mathieu
2016 J jnl
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints.
CoRR
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 Misc conf
Diffusion LMS over multitask networks with noisy links.
ICASSP
Roula Nassif, Cédric Richard, Jie Chen, André Ferrari, Ali H. Sayed
2016 Misc conf
Distributed learning over multitask networks with linearly related tasks.
ACSSC
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 — conf
Distributed multi-frequency image reconstruction for radio-interferometry.
EUSIPCO
Jeremy Deguignet, André Ferrari, David Mary, Chiara Ferrari
2016 — conf
Fast and robust detection of a known pattern in an image.
EUSIPCO
Loïc Denis, André Ferrari, David Mary, Laurent M. Mugnier, Éric Thiébaut
2016 J jnl
Multitask Diffusion Adaptation Over Asynchronous Networks.
IEEE Trans. Signal Process.
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 J jnl
Proximal Multitask Learning Over Networks With Sparsity-Inducing Coregularization.
IEEE Trans. Signal Process.
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2016 — conf
Spatial regularization for nonlinear unmixing of hyperspectral data with vector-valued kernel functions.
SSP
Rita Ammanouil, André Ferrari, Cédric Richard, Jean-Yves Tourneret
2016 Misc conf
Unsupervised neighbor dependent nonlinear unmixing.
ICASSP
Rita Ammanouil, André Ferrari, Cédric Richard
2015 Misc conf
A graph Laplacian regularization for hyperspectral data unmixing.
ICASSP
Rita Ammanouil, André Ferrari, Cédric Richard
2015 J jnl
Distributed image reconstruction for very large arrays in radio astronomy.
CoRR
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2015 — conf
Hyperspectral data unmixing with graph-based regularization.
WHISPERS
Rita Ammanouil, André Ferrari, Cédric Richard
2015 — conf
Large scale 3D image reconstruction in optical interferometry.
EUSIPCO
Antony Schutz, André Ferrari, David Mary, Éric Thiébaut, Ferréol Soulez
2015 Misc conf
Multitask diffusion LMS with sparsity-based regularization.
ICASSP
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2015 J jnl
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization.
CoRR
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014 J jnl
A graph Laplacian regularization for hyperspectral data unmixing.
CoRR
Rita Ammanouil, André Ferrari, Cédric Richard
2014 B conf
A non-asymptotic standardization of binomial counts in Higher Criticism.
ISIT
David Mary, André Ferrari
2014 J jnl
Blind and Fully Constrained Unmixing of Hyperspectral Images.
IEEE Trans. Image Process.
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
2014 B conf
Detection of astrophysical sources in hyperspectral data. Applications to the MUSE instrument.
ICIP
David Mary, André Ferrari, Silvia Paris
2014 J jnl
Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios.
IEEE Trans. Signal Process.
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2014 — conf
Distributed image reconstruction for very large arrays in radio astronomy.
SAM
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2014 — conf
GLUP: Yet another algorithm for blind unmixing of hyperspectral data.
WHISPERS
Rita Ammanouil, André Ferrari, Cédric Richard, David Mary
2014 J jnl
Multitask diffusion adaptation over asynchronous networks.
CoRR
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014 J jnl
PAINTER: a spatio-spectral image reconstruction algorithm for optical interferometry.
CoRR
Antony Schutz, André Ferrari, David Mary, Ferréol Soulez, Éric Thiébaut, Martin Vannier
2014 Misc conf
Performance analysis of multitask diffusion adaptation over asynchronous networks.
ACSSC
Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed
2014 Misc conf
Subspace learning in minimax detection.
ICASSP
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2013 Misc conf
Constrained likelihood ratios for detecting sparse signals in highly noisy 3D data.
ICASSP
Silvia Paris, Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2013 J jnl
Detection Tests Using Sparse Models, With Application to Hyperspectral Data.
IEEE Trans. Signal Process.
Silvia Paris, David Mary, André Ferrari
2013 Misc conf
Minimax sparse detection based on one-class classifiers.
ICASSP
Raja Fazliza Raja Suleiman, David Mary, André Ferrari
2013 Misc conf
Models with products of Dirichlet processes.
ICASSP
Petar M. Djuric, André Ferrari
2013 Misc conf
Nonlinear unmixing of hyperspectral data with partially linear least-squares support vector regression.
ICASSP
Jie Chen, Cédric Richard, André Ferrari, Paul Honeine
2012 C conf
Adaptive inverse control using kernel identification.
ACC
Andrea Abelli, André Ferrari, Salvatore Monaco, Cédric Richard
2012 — conf
Classification of multivariate data using Dirichlet process mixture models.
ACSCC
Petar M. Djuric, André Ferrari
2011 — conf
PDR and LRMAP detection tests applied to massive hyperspectral data.
CAMSAP
Silvia Paris, David Mary, André Ferrari
2011 — conf
Sparsity-based composite detection tests. application to astrophysical hyperspectral data.
EUSIPCO
Silvia Paris, David Mary, André Ferrari, Sébastien Bourguignon
2011 J jnl
Stationnarité relative et approches connexes.
Traitement du Signal
Patrick Flandrin, Cédric Richard, Pierre-Olivier Amblard, Pierre Borgnat, Paul Honeine, Hassan Amoud, André Ferrari, Jun Xiao, Azadeh Moghtaderi, Pepa Ramírez-Cobo
2011 Misc conf
Transitional surrogates.
ICASSP
Pierre Borgnat, Patrick Flandrin, André Ferrari, Cédric Richard
2010 — conf
Bayesian detection with the posterior distribution of the likelihood ratio.
EUSIPCO
Isabelle Smith, André Ferrari
2010 Misc conf
Statistical hypothesis testing with time-frequency surrogates to check signal stationarity.
ICASSP
Cédric Richard, André Ferrari, Hassan Amoud, Paul Honeine, Patrick Flandrin, Pierre Borgnat
2009 Misc conf
Detection from a multi-channel sensor using a hierarchical Bayesian model.
ICASSP
Isabelle Smith, André Ferrari
2009 J jnl
Detection of a Moving Source in Speckle Noise. Application to Exoplanet Detection.
IEEE Trans. Signal Process.
Isabelle Smith, André Ferrari, Marcel Carbillet
2008 Misc conf
Detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging.
ICASSP
Isabelle Smith, André Ferrari, Marcel Carbillet
2007 J jnl
Bivariate Gamma Distributions for Image Registration and Change Detection.
IEEE Trans. Image Process.
Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari
2006 — conf
Parameter Estimation for Multivariate Mixed Poisson Distributions.
ICASSP (3)
Florent Chatelain, André Ferrari, Jean-Yves Tourneret
2006 — conf
Parameter estimation for multivariate gamma distributions.
EUSIPCO
Florent Chatelain, Jean-Yves Tourneret, Jordi Inglada, André Ferrari
2004 J jnl
Cramer-Rao lower bounds for change points in additive and multiplicative noise.
Signal Process.
Jean-Yves Tourneret, André Ferrari, Ananthram Swami
2004 — conf
Detection performance for discrete test statistics. Application to low-flux imagery.
ICASSP (2)
André Ferrari, Jean-Yves Tourneret
2004 — conf
Multivariate mixed poisson distributions.
EUSIPCO
André Ferrari, Gérard Letac, Jean-Yves Tourneret
2002 Misc conf
Changepoint detection in multivariate Poisson distributions.
ICASSP
Jean-Yves Tourneret, André Ferrari, Gérard Letac
2002 — conf
Extension of Whittle likelihood to transient signal parameters estimation. Application to stellar speckle interferometry.
EUSIPCO
André Ferrari, Y. Cavallin
2002 J jnl
Parametric modeling of photometric signals.
Signal Process.
André Ferrari, Jean-Yves Tourneret, Gérard Alengrin
2002 — conf
Spectral modes estimation using Whittle-type criterion. Application to stellar speckle interferometry.
EUSIPCO
Y. Cavallin, André Ferrari, H. Lanteri
2001 J jnl
Marginal Bayesian analysis of polynomial-phase signals.
Signal Process.
Céline Theys, André Ferrari, Michelle Vieira
2000 Misc conf
Cramer-Rao lower bounds for abrupt change parameters in additive and multiplicative noise.
ICASSP
Jean-Yves Tourneret, André Ferrari
2000 — conf
Statistical analysis of a parametric model for photometric signals.
EUSIPCO
André Ferrari, Jean-Yves Tourneret
1999 Misc conf
Detection of extra solar planets using parametric modeling.
ICASSP
André Ferrari, Jean-Yves Tourneret, François-Xavier Schmider
1997 Misc conf
Bayesian estimation of the parameters of a polynomial phase signal using MCMC methods.
ICASSP
Céline Theys, Michelle Vieira, André Ferrari
1997 Misc conf
Spectral estimation of a Gaussian signal sampled with jitter.
ICASSP
André Ferrari, Jean-Yves Tourneret, Gérard Alengrin
1996 — conf
Detection and estimation of changes in a polynomial-phase signal using the DPPT.
EUSIPCO
Céline Theys, André Ferrari, Gérard Alengrin
1996 J jnl
Polynomial-phase signal analysis using stationary moments.
Signal Process.
André Ferrari, Céline Theys, Gérard Alengrin
1996 — conf
Stationary moments of a polynomial phase signal, application to parameter estimation.
EUSIPCO
André Ferrari, Céline Theys, Gérard Alengrin
1995 Misc conf
A parametric model for the quadratic sampling of a bandlimited signal.
ICASSP
André Ferrari, R. Lorion, Gérard Alengrin
1994 J jnl
High-order ergodicity of a complex harmonic process.
IEEE Trans. Inf. Theory
André Ferrari, Gérard Alengrin
1993 — conf
Overdetermined noise compensation without eigendecomposition for frequency estimation.
ICASSP (4)
Christophe Bérenguer, Céline Theys, André Ferrari, Gérard Alengrin
1992 Misc conf
Estimation of the fundamental frequency of a noisy sum of cisoids with harmonic related frequencies.
ICASSP
André Ferrari, Gérard Alengrin, Céline Theys
1992 J jnl
Improvements of a state-space iterative noise reduction algorithm for harmonic retrieval.
IEEE Trans. Signal Process.
André Ferrari, Gérard Alengrin, Thierry Pitarque
1991 J jnl
A new state space algorithm for computing the frequencies of sinusoids in white noise.
Signal Process.
Thierry Pitarque, Gérard Alengrin, André Ferrari, Jean Menez
1991 Misc conf
Estimation of the frequencies of a complex sinusoidal noisy signal using fourth order statistics.
ICASSP
André Ferrari, Gérard Alengrin
1990 Misc conf
Spectral estimation methods avoiding eigenvector decomposition.
ICASSP
Thierry Pitarque, Gérard Alengrin, André Ferrari