%0 Conference Paper
%A Lawrie, Sofía
%A Moreno-Bote, Rubén
%A Gilson, Matthieu
%Y Smys, S.
%Y Tavares, João Manuel R. S.
%Y Balas, Valentina Emilia
%T Covariance Features Improve Low-Resource Reservoir Computing Performance in Multivariate Time Series Classification
%V 1420
%C Singapore
%I Springer Singapore
%M FZJ-2022-04503
%@ 978-981-16-9572-8 (print)
%B Advances in Intelligent Systems and Computing
%P 587 - 601
%D 2022
%< Computational Vision and Bio-Inspired Computing / Smys, S. (Editor) ; Singapore : Springer Singapore, 2022, Chapter 42 ; ISSN: 2194-5357=2194-5365 ; ISBN: 978-981-16-9572-8=978-981-16-9573-5 ; doi:10.1007/978-981-16-9573-5
%B Computational Vision and Bio-Inspired Computing
%C 25 Nov 2021 - 26 Nov 2021, Coimbatore (India)
Y2 25 Nov 2021 - 26 Nov 2021
M2 Coimbatore, India
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%U <Go to ISI:>//WOS:000787139600042
%R 10.1007/978-981-16-9573-5_42
%U https://juser.fz-juelich.de/record/911191