Laurent Albera

According to our database1, Laurent Albera authored at least 80 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Electrophysiological brain imaging based on simulation-driven deep learning in the context of epilepsy.
NeuroImage, January, 2024

2023
A reduced complexity ECG imaging model for regularized inversion optimization.
Comput. Biol. Medicine, December, 2023

A Unified Approach for Inverse Problem in EEG and Brain Connectivity with Application to Epilepsy. A Proof of Concept Study.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Parallelization scheme for canonical polyadic decomposition of large-scale high-order tensors.
Signal Process., 2022

Epileptic Seizure Prediction Using Deep Neural Networks Via Transfer Learning and Multi-Feature Fusion.
Int. J. Neural Syst., 2022

2021
How Beamforming Can Solve The Brain Source Imaging Problem?
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

2020
Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources.
IEEE Trans. Affect. Comput., 2020

2019
Rank estimation and tensor decomposition using physics-driven constraints for brain source localization.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Investigating Transmembrane Current Source Formulation for Solving the ECG Inverse Problem.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Robust Multilinear Decomposition of Low Rank Tensors.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Brain Source Localization using Constrained Low Rank Canonical Polyadic Decomposition.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Independent Component Analysis Based on Non-polynomial Approximation of Negentropy: Application to MRS Source Separation.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
A Penalized Semialgebraic Deflation ICA Algorithm for the Efficient Extraction of Interictal Epileptic Signals.
IEEE J. Biomed. Health Informatics, 2017

Efficient Stepsize Selection Strategy for Givens Parametrized ICA Applied to EEG Denoising.
IEEE Signal Process. Lett., 2017

SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity.
NeuroImage, 2017

Low rank canonical polyadic decomposition of tensors based on group sparsity.
Proceedings of the 25th European Signal Processing Conference, 2017

Reliable gradient search directions for kurtosis-based deflationary ICA: Application to physiological signal processing.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

A fast model for solving the ECG forward problem based on an evolutionary algorithm.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Block term decomposition with rank estimation using group sparsity.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization.
IEEE Trans. Signal Process., 2016

Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on high resolution EEG and MEG data.
NeuroImage, 2016

Proximal gradient-based step for brain distributed epileptic source imaging after tensor decomposition preprocessing.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

On JEVD of semi-definite positive matrices and CPD of nonnegative tensors.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Joint Eigenvalue Decomposition of Non-Defective Matrices Based on the LU Factorization With Application to ICA.
IEEE Trans. Signal Process., 2015

Denoising of Ictal EEG Data Using Semi-Blind Source Separation Methods Based on Time-Frequency Priors.
IEEE J. Biomed. Health Informatics, 2015

A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose Distributions.
IEEE J. Biomed. Health Informatics, 2015

Brain-Source Imaging: From sparse to tensor models.
IEEE Signal Process. Mag., 2015

An Efficient Jacobi-Like Deflationary ICA Algorithm: Application to EEG Denoising.
IEEE Signal Process. Lett., 2015

Feasibility of blind source separation methods for the denoising of dense-array EEG.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A new parameter computed with independent component analysis to predict rectal toxicity following prostate cancer radiotherapy.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Tensor decomposition exploiting structural constraints for brain source imaging.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Semi-nonnegative joint diagonalization by congruence and semi-nonnegative ICA.
Signal Process., 2014

EEG extended source localization: Tensor-based vs. conventional methods.
NeuroImage, 2014

Canonical polyadic decomposition of 3rd order semi-nonnegative semi-symmetric tensors using LU and QR matrix factorizations.
EURASIP J. Adv. Signal Process., 2014

Brain source localization using a physics-driven structured cosparse representation of EEG signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Nonnegative compression for Semi-Nonnegative Independent Component Analysis.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

CP decomposition of semi-nonnegative semi-symmetric tensors based on QR matrix factorization.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

A performance study of various brain source imaging approaches.
Proceedings of the IEEE International Conference on Acoustics, 2014

Fast, variation-based methods for the analysis of extended brain sources.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Nonnegative Joint Diagonalization by Congruence Based on LU Matrix Factorization.
IEEE Signal Process. Lett., 2013

Canonical Polyadic decomposition of complex-valued multi-way arrays based on Simultaneous Schur Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2013

A new Jacobi-like nonnegative joint diagonalization by congruence.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Multi-way space-time-wave-vector analysis for EEG source separation.
Signal Process., 2012

Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches.
EURASIP J. Adv. Signal Process., 2012

Noise cancelation of epileptic interictal EEG data based on generalized eigenvalue decomposition.
Proceedings of the 35th International Conference on Telecommunications and Signal Processing, 2012

Tensor-based preprocessing of combined EEG/MEG data.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Turning Tangent Empirical Mode Decomposition: A Framework for Mono- and Multivariate Signals.
IEEE Trans. Signal Process., 2011

Iterative methods for the canonical decomposition of multi-way arrays: Application to blind underdetermined mixture identification.
Signal Process., 2011

Multivariate empirical mode decomposition and application to multichannel filtering.
Signal Process., 2011

Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach.
NeuroImage, 2011

Semi-algebraic canonical decomposition of multi-way arrays and Joint Eigenvalue Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Canonical decomposition of semi-symmetric semi-nonnegative three-way arrays.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Blind underdetermined mixture identification by joint canonical decomposition of HO cumulants.
IEEE Trans. Signal Process., 2010

Sequential high-resolution direction finding from higher order statistics.
IEEE Trans. Signal Process., 2010

3A-EMD: A generalized approach for monovariate and multivariate EMD.
Proceedings of the 10th International Conference on Information Sciences, 2010

Edgeworth-based approximation of Mutual Information for medical image registration.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Joint Eigenvalue Decomposition Using Polar Matrix Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Semi-nonnegative Independent Component Analysis: The (3, 4)-SENICA<sup>exp</sup> Method.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Multiway space-time-wave-vector analysis for source localization and extraction.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Canonical decomposition of even order hermitian positive semi-definite arrays.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Nonminimum Phase Identification Based on Higher Order Spectrum Slices.
IEEE Trans. Signal Process., 2008

Brain Source Localization Using a Fourth-Order Deflation Scheme.
IEEE Trans. Biomed. Eng., 2008

Ica: a potential tool for bci systems.
IEEE Signal Process. Mag., 2008

2007
Higher Order Direction Finding From Arrays With Diversely Polarized Antennas: The PD-2q-MUSIC Algorithms.
IEEE Trans. Signal Process., 2007

Doa Estimation Based on an Even Order Deflation Scheme.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Higher order direction finding with polarization diversity: THE PD-2q-music algorithms.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
High-Resolution Direction Finding From Higher Order Statistics: The 2q-MUSIC Algorithm.
IEEE Trans. Signal Process., 2006

The PEP Approach: A New Family of Methods Solving the Phase Estimation Problem.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Fourth Order Approaches for Localization of Brain Current Sources.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Fourth-order blind identification of underdetermined mixtures of sources (FOBIUM).
IEEE Trans. Signal Process., 2005

On the virtual array concept for higher order array processing.
IEEE Trans. Signal Process., 2005

ICAR: a tool for blind source separation using fourth-order statistics only.
IEEE Trans. Signal Process., 2005

2004
Second-order blind separation of first- and second-order cyclostationary sources-application to AM, FSK, CPFSK, and deterministic sources.
IEEE Trans. Signal Process., 2004

ICAR: independent component analysis using redundancies.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Blind identification of underdetermined mixtures based on the hexacovariance.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
On the behavior of current second order blind source separation methods for first and second order cyclostationary sources-application to CPFSK sources.
Proceedings of the IEEE International Conference on Acoustics, 2002

Higher order blind separation of non zero-mean cyclostationary sources.
Proceedings of the 11th European Signal Processing Conference, 2002


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