Corrections to “Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures”

In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, the updated text for the Acknowledgment section is: &#x201C;The RADAR-AD project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806999. Th...

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Autores principales: Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris
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Publicado: IEEE 2021
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spelling oai:doaj.org-article:1908cf8d374b40fe9304965dff30d2472021-11-18T00:02:23ZCorrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;2169-353610.1109/ACCESS.2021.3122266https://doaj.org/article/1908cf8d374b40fe9304965dff30d2472021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611371/https://doaj.org/toc/2169-3536In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, the updated text for the Acknowledgment section is: &#x201C;The RADAR-AD project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806999. This Joint Undertaking receives support from the European Union&#x2019;s Horizon 2020 research and innovation programme and EFPIA (<uri>http://www.imi.europa.eu</uri>).&#x201D; Additionally, we would like to add the disclaimer: &#x201C;This communication reflects the views of the RADAR-AD consortium and neither IMI nor the European Union and EFPIA are liable for any use that may be made of the information contained herein.&#x201D;Vangelis P. OikonomouSpiros NikolopoulosIoannis KompatsiarisIEEEarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 150213-150213 (2021)
institution DOAJ
collection DOAJ
language EN
topic Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Vangelis P. Oikonomou
Spiros Nikolopoulos
Ioannis Kompatsiaris
Corrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;
description In the above article <xref ref-type="bibr" rid="ref1">[1]</xref>, the updated text for the Acknowledgment section is: &#x201C;The RADAR-AD project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806999. This Joint Undertaking receives support from the European Union&#x2019;s Horizon 2020 research and innovation programme and EFPIA (<uri>http://www.imi.europa.eu</uri>).&#x201D; Additionally, we would like to add the disclaimer: &#x201C;This communication reflects the views of the RADAR-AD consortium and neither IMI nor the European Union and EFPIA are liable for any use that may be made of the information contained herein.&#x201D;
format article
author Vangelis P. Oikonomou
Spiros Nikolopoulos
Ioannis Kompatsiaris
author_facet Vangelis P. Oikonomou
Spiros Nikolopoulos
Ioannis Kompatsiaris
author_sort Vangelis P. Oikonomou
title Corrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;
title_short Corrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;
title_full Corrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;
title_fullStr Corrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;
title_full_unstemmed Corrections to &#x201C;Robust Motor Imagery Classification Using Sparse Representations and Grouping Structures&#x201D;
title_sort corrections to &#x201c;robust motor imagery classification using sparse representations and grouping structures&#x201d;
publisher IEEE
publishDate 2021
url https://doaj.org/article/1908cf8d374b40fe9304965dff30d247
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AT spirosnikolopoulos correctionstox201crobustmotorimageryclassificationusingsparserepresentationsandgroupingstructuresx201d
AT ioanniskompatsiaris correctionstox201crobustmotorimageryclassificationusingsparserepresentationsandgroupingstructuresx201d
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