Audrey Giremus
Orcid: 0000-0003-0585-4243
According to our database1,
Audrey Giremus
authored at least 67 papers
between 2004 and 2024.
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Bibliography
2024
Signal Process., January, 2024
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models.
IEEE Trans. Signal Process., 2024
Proceedings of the 27th International Conference on Information Fusion, 2024
Tight Hybridization of Long Short-Term Memory Neural Networks and Robust Kalman Filter for Remaining Useful Life Estimation of Proton Exchange Membrane Fuel Cells.
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Joint shape and centroid position tracking of a cluster of space debris by filtering on Lie groups.
Signal Process., 2021
Digit. Signal Process., 2021
Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
2020
A Lie-group based modelling for centroid and shape estimation of a cluster of space debris.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
A Bayesian Nonparametric Model for Unsupervised Joint Segmentation of a Collection of Images.
IEEE Access, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
BMC Bioinform., 2018
Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry.
BMC Bioinform., 2018
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
A Hierarchical LMB/PHD Filter for Multiple Groups of Targets with Coordinated Motions.
Proceedings of the 21st International Conference on Information Fusion, 2018
2017
EURASIP J. Bioinform. Syst. Biol., 2017
A generalized Swendsen-Wang algorithm for Bayesian nonparametric joint segmentation of multiple images.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Bernoulli filter based algorithm for joint target tracking and classification in a cluttered environment.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking.
Signal Process., 2016
J. Math. Imaging Vis., 2016
Joint segmentation of multiple images with shared classes: A Bayesian nonparametrics approach.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
A Bayesian non parametric time-switching autoregressive model for multipath errors in GPS navigation.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016
2015
IEEE Signal Process. Lett., 2015
Continuous-Discrete Extended Kalman Filter on Matrix Lie Groups Using Concentrated Gaussian Distributions.
J. Math. Imaging Vis., 2015
Potts model parameter estimation in Bayesian segmentation of piecewise constant images.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 18th International Conference on Information Fusion, 2015
Dirichlet-process-mixture-based Bayesian nonparametric method for Markov switching process estimation.
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the British Machine Vision Conference 2015, 2015
2014
Sequential beat-to-beat P and T wave delineation and waveform estimation in ECG signals: Block Gibbs sampler and marginalized particle filter.
Signal Process., 2014
IEEE Access, 2014
Bayesian noise model selection and system identification based on approximation of the evidence.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Global motion estimation from relative measurements using iterated extended Kalman filter on matrix LIE groups.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Relevance of Dirichlet process mixtures for modeling interferences in underlay cognitive radio.
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the Computer Vision - ACCV 2014, 2014
2013
Online EM estimation of the Dirichlet process mixtures scale parameter to model the GPS multipath error.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Jeffreys divergence between state models: Application to target tracking using multiple models.
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Modeling of Multipath Environment Using Copulas for Particle Filtering Based GPS Navigation.
IEEE Signal Process. Lett., 2012
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012
A Boltzmann machine to model the multipath environment for particle filtering based GPS navigation.
Proceedings of the 20th European Signal Processing Conference, 2012
Beat-to-beat P and T wave delineation in ECG signals using a marginalized particle filter.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits.
Neural Comput., 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
A Fixed-Lag Particle Filter for the Joint Detection/Compensation of Interference Effects in GPS Navigation.
IEEE Trans. Signal Process., 2010
A Rao-Blackwellized Particle Filter for Joint Channel/Symbol Estimation in MC-DS-CDMA Systems.
IEEE Trans. Commun., 2010
Combining generalized likelihood ratio and M-estimation for the detection/compensation of GPS measurement biases.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Joint Particle Filter and UKF Position Tracking in Severe Non-Line-of-Sight Situations.
IEEE J. Sel. Top. Signal Process., 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Small-group learning projects to make signal processing more appealing: From speech processing to OFDMA synchronization.
Proceedings of the IEEE International Conference on Acoustics, 2009
Fault detection combining interacting multiple model and multiple solution separation for aviation satellite navigation system.
Proceedings of the IEEE International Conference on Acoustics, 2009
New variants of the differential evolution algorithm: Application for neuroscientists.
Proceedings of the 17th European Signal Processing Conference, 2009
2008
An Unscented Kalman filter based maximum likelihood ratio for NLOS bias detection in UMTS localization.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
A Particle Filtering Approach for Joint Detection/Estimation of Multipath Effects on GPS Measurements.
IEEE Trans. Signal Process., 2007
Cross-Coupled Rao-Blackwellized Particle and Kalman Filters for the Joint Symbol-Channel Estimation in MC-DS-CDMA Systems.
Proceedings of the Multi-Carrier Spread Spectrum 2007, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004