Laurent Albera
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View article: Fully Automated EEG Source Imaging Using Structured Sparsity for Single and Multiple Synchronous Epileptic Activities
Fully Automated EEG Source Imaging Using Structured Sparsity for Single and Multiple Synchronous Epileptic Activities Open
Accurate localization of epileptic zones from High-Resolution ElectroEncephaloGraphy (HR-EEG) data can be challenging, especially when multiple synchronous zones are involved, and is highly dependent on the chosen EEG Source Imaging (ESI) …
View article: Optimized CNN-based denoising strategy for enhancing longitudinal monitoring of heart failure
Optimized CNN-based denoising strategy for enhancing longitudinal monitoring of heart failure Open
View article: High-Dimensional MVAR Model Identification Based on Structured Sparsity Penalization
High-Dimensional MVAR Model Identification Based on Structured Sparsity Penalization Open
International audience
View article: Prompt-Driven Graph Distillation: Enabling Single-Layer Mlps to Outperform Deep Graph Neural Networks in Graph-Based Tasks
Prompt-Driven Graph Distillation: Enabling Single-Layer Mlps to Outperform Deep Graph Neural Networks in Graph-Based Tasks Open
View article: Electrophysiological brain imaging based on simulation-driven deep learning in the context of epilepsy
Electrophysiological brain imaging based on simulation-driven deep learning in the context of epilepsy Open
Identifying the location, the spatial extent and the electrical activity of distributed brain sources in the context of epilepsy through ElectroEncephaloGraphy (EEG) recordings is a challenging task because of the highly ill-posed nature o…
View article: Parallelization scheme for canonical polyadic decomposition of large-scale high-order tensors
Parallelization scheme for canonical polyadic decomposition of large-scale high-order tensors Open
View article: Parallelization Scheme for Canonical Polyadic Decomposition of Large-Scale High-Order Tensors
Parallelization Scheme for Canonical Polyadic Decomposition of Large-Scale High-Order Tensors Open
View article: A two-step algorithm for joint EigenValue decomposition - Application to canonical polyadic decomposition of fluorescence spectra
A two-step algorithm for joint EigenValue decomposition - Application to canonical polyadic decomposition of fluorescence spectra Open
View article: Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices
Robust low-rank multilinear tensor approximation for a joint estimation of the multilinear rank and the loading matrices Open
In order to compute the best low-rank tensor approximation using the Multilinear Tensor Decomposition (MTD) model, it is essential to estimate the rank of the underlying multilinear tensor from the noisy observation tensor. In this paper, …
View article: Low Rank Canonical Polyadic Decomposition Of Tensors Based On Group Sparsity
Low Rank Canonical Polyadic Decomposition Of Tensors Based On Group Sparsity Open
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
View article: Reliable gradient search directions for kurtosis-based deflationary ICA: Application to physiological signal processing
Reliable gradient search directions for kurtosis-based deflationary ICA: Application to physiological signal processing Open
Efficient gradient search directions for the optimisation of the kurtosis-based deflationary RobustICA algorithm in the case of real-valued data are proposed in this paper. The proposed scheme employs, in the gradient-like algorithm typica…
View article: SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity
SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity Open
View article: JACOBI-LIKE NONNEGATIVE JOINT DIAGONALIZATION BY CONGRUENCE
JACOBI-LIKE NONNEGATIVE JOINT DIAGONALIZATION BY CONGRUENCE Open
International audience
View article: 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
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 Open
View article: Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem
Low cost and efficient kurtosis-based deflationary ICA method: Application to MRS sources separation problem Open
Improving the execution time and the numerical complexity of the well-known kurtosis-based maximization method, the RobustICA, is investigated in this paper. A Newton-based scheme is proposed and compared to the conventional RobustICA meth…
View article: ON JEVD OF SEMI-DEFINITE POSITIVE MATRICES AND CPD OF NONNEGATIVE TENSORS
ON JEVD OF SEMI-DEFINITE POSITIVE MATRICES AND CPD OF NONNEGATIVE TENSORS Open
View article: Localization of Distributed EEG Sources in the Context of Epilepsy: A Simulation Study
Localization of Distributed EEG Sources in the Context of Epilepsy: A Simulation Study Open
View article: Tensor decomposition exploiting structural constraints for brain source imaging
Tensor decomposition exploiting structural constraints for brain source imaging Open
International audience
View article: An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence
An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence Open
International audience
View article: A Penalized Semialgebraic Deflation ICA Algorithm for the Efficient Extraction of Interictal Epileptic Signals
A Penalized Semialgebraic Deflation ICA Algorithm for the Efficient Extraction of Interictal Epileptic Signals Open
As a noninvasive technique, electroencephalography (EEG) is commonly used to monitor the brain signals of patients with epilepsy such as the interictal epileptic spikes. However, the recorded data are often corrupted by artifacts originati…
View article: Tensor-based preprocessing of combined EEG/MEG data
Tensor-based preprocessing of combined EEG/MEG data Open
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or…
View article: Brain-Source Imaging: From sparse to tensor models
Brain-Source Imaging: From sparse to tensor models Open
International audience
View article: Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization
Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization Open
International audience
View article: FAST, VARIATION-BASED METHODS FOR THE ANALYSIS OF EXTENDED BRAIN SOURCES
FAST, VARIATION-BASED METHODS FOR THE ANALYSIS OF EXTENDED BRAIN SOURCES Open
Identifying the location and spatial extent of several highly correlated and simultaneously active brain sources from elec-troencephalographic (EEG) recordings and extracting the cor-responding brain signals is a challenging problem. In a …
View article: One decade of biomedical problems using ICA: a full comparative study, in
One decade of biomedical problems using ICA: a full comparative study, in Open
— This communication aims at giving some insights into the use of Independent Component Anal-ysis (ICA) for solving biomedical problems. First the concept of ICA is reviewed and different classes of ICA methods are described. Next a survey…