Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden.
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%0 Conference Paper
%1 conf/icorr/WilliamsGHPS22
%A Williams, Heather E.
%A Günther, Johannes
%A Hebert, Jacqueline S.
%A Pilarski, Patrick M.
%A Shehata, Ahmed W.
%B ICORR
%D 2022
%I IEEE
%K dblp
%P 1-6
%T Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden.
%U http://dblp.uni-trier.de/db/conf/icorr/icorr2022.html#WilliamsGHPS22
%@ 978-1-6654-8829-7
@inproceedings{conf/icorr/WilliamsGHPS22,
added-at = {2023-09-30T00:00:00.000+0200},
author = {Williams, Heather E. and Günther, Johannes and Hebert, Jacqueline S. and Pilarski, Patrick M. and Shehata, Ahmed W.},
biburl = {https://www.bibsonomy.org/bibtex/251ce867520b7b0009ded24d106312c9c/dblp},
booktitle = {ICORR},
crossref = {conf/icorr/2022},
ee = {https://doi.org/10.1109/ICORR55369.2022.9896593},
interhash = {c139cb71036ff42d7991010225a7a6cb},
intrahash = {51ce867520b7b0009ded24d106312c9c},
isbn = {978-1-6654-8829-7},
keywords = {dblp},
pages = {1-6},
publisher = {IEEE},
timestamp = {2024-04-09T19:24:14.000+0200},
title = {Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden.},
url = {http://dblp.uni-trier.de/db/conf/icorr/icorr2022.html#WilliamsGHPS22},
year = 2022
}
