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Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

Brain computer interfaces (Abingdon, England), 2017-07, Vol.4 (3), p.155-174

2017

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Classification of covariance matrices using a Riemannian-based kernel for BCI applications

Neurocomputing (Amsterdam), 2013-07, Vol.112, p.172-178

2013

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Approximate joint diagonalization and geometric mean of symmetric positive definite matrices

PloS one, 2015-04, Vol.10 (4), p.e0121423-e0121423

2015

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MOABB: trustworthy algorithm benchmarking for BCIs

Journal of neural engineering, 2018-12, Vol.15 (6), p.066011-066011

2018

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Using data from the Microsoft Kinect 2 to determine postural stability in healthy subjects: A feasibility trial

PloS one, 2017-02, Vol.12 (2), p.e0170890-e0170890

2017

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A special form of SPD covariance matrix for interpretation and visualization of data manipulated with Riemannian geometry

AIP Conference Proceedings, 2015, Vol.1641 (1), p.503

2015

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Multiclass Brain-Computer Interface Classification by Riemannian Geometry

IEEE transactions on biomedical engineering, 2012-04, Vol.59 (4), p.920-928

2012

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Fixed Point Algorithms for Estimating Power Means of Positive Definite Matrices

IEEE transactions on signal processing, 2017-05, Vol.65 (9), p.2211-2220

2017

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Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

Brain (London, England : 1878), 2018-09, Vol.141 (9), p.2619-2630

2018

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Effect of sensory and motor connectivity on hand function in pediatric hemiplegia

Annals of neurology, 2017-11, Vol.82 (5), p.766-780

2017

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Riemannian Geometry Applied to BCI Classification

Latent Variable Analysis and Signal Separation, p.629-636

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An automated, electronic assessment tool can accurately classify older adult postural stability

Journal of biomechanics, 2019-08, Vol.93, p.6-10

2019

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Ensembling crowdsourced seizure prediction algorithms using long‐term human intracranial EEG

Epilepsia (Copenhagen), 2020-02, Vol.61 (2), p.e7-e12

2020

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Using Data From the Microsoft Kinect 2 to Quantify Upper Limb Behavior: A Feasibility Study

IEEE journal of biomedical and health informatics, 2017-09, Vol.21 (5), p.1386-1392

2017

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Co-Optimization of SRAM Circuits with Sequential Access Patterns in a 7nm SoC Achieving 58% Memory Energy Reduction for AR Applications

2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2022, p.216-217

2022

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Common Spatial Pattern revisited by Riemannian geometry

2010 IEEE International Workshop on Multimedia Signal Processing, 2010, p.472-476

2010

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Classification of covariance matrices using a Riemannian-based kernel for BCI applications: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Neurocomputing (Amsterdam), 2013, Vol.112, p.172-178

2013

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Brain-computer interface for the communication of acute patients: a feasibility study and a randomized controlled trial comparing performance with healthy participants and a traditional assistive device

Brain computer interfaces (Abingdon, England), 2016-10, Vol.3 (4), p.197-215

2016

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A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, Vol.2017, p.3198-3201

2017

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A fixed-point algorithm for estimating power means of positive definite matrices

2016 24th European Signal Processing Conference (EUSIPCO), 2016, p.2106-2110

2016

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Channel selection procedure using riemannian distance for BCI applications

2011 5th International IEEE/EMBS Conference on Neural Engineering, 2011, p.348-351

2011

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Recreational Applications of OpenViBE: Brain Invaders and Use-the-Force

Brain-Computer Interfaces 2: Technology and Applications, 2016, Vol.chap. 14, p.241-257

2016

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Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review

Classification of covariance matrices using a Riemannian-based kernel for BCI applications

Approximate joint diagonalization and geometric mean of symmetric positive definite matrices

MOABB: trustworthy algorithm benchmarking for BCIs

Using data from the Microsoft Kinect 2 to determine postural stability in healthy subjects: A feasibility trial

A special form of SPD covariance matrix for interpretation and visualization of data manipulated with Riemannian geometry

Multiclass Brain-Computer Interface Classification by Riemannian Geometry

Fixed Point Algorithms for Estimating Power Means of Positive Definite Matrices

Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

Effect of sensory and motor connectivity on hand function in pediatric hemiplegia

Riemannian Geometry Applied to BCI Classification

An automated, electronic assessment tool can accurately classify older adult postural stability

Ensembling crowdsourced seizure prediction algorithms using long‐term human intracranial EEG

Using Data From the Microsoft Kinect 2 to Quantify Upper Limb Behavior: A Feasibility Study

Co-Optimization of SRAM Circuits with Sequential Access Patterns in a 7nm SoC Achieving 58% Memory Energy Reduction for AR Applications

Common Spatial Pattern revisited by Riemannian geometry

Classification of covariance matrices using a Riemannian-based kernel for BCI applications: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Brain-computer interface for the communication of acute patients: a feasibility study and a randomized controlled trial comparing performance with healthy participants and a traditional assistive device

A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices

A fixed-point algorithm for estimating power means of positive definite matrices

Channel selection procedure using riemannian distance for BCI applications

Recreational Applications of OpenViBE: Brain Invaders and Use-the-Force

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