%0 Conference Paper %1 conf/embc/BoukhennoufaZUJ21 %A Boukhennoufa, Issam %A Zhai, Xiaojun %A Utti, Victor %A Jackson, Jo %A McDonald-Maier, Klaus D. %B EMBC %D 2021 %I IEEE %K dblp %P 2242-2247 %T A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment. %U http://dblp.uni-trier.de/db/conf/embc/embc2021.html#BoukhennoufaZUJ21 %@ 978-1-7281-1179-7

@inproceedings{conf/embc/BoukhennoufaZUJ21, added-at = {2021-12-22T00:00:00.000+0100}, author = {Boukhennoufa, Issam and Zhai, Xiaojun and Utti, Victor and Jackson, Jo and McDonald-Maier, Klaus D.}, biburl = {https://www.bibsonomy.org/bibtex/2a7150cab9db595c7d7bc82ce083ec467/dblp}, booktitle = {EMBC}, crossref = {conf/embc/2021}, ee = {https://doi.org/10.1109/EMBC46164.2021.9630462}, interhash = {ad6d57804de00181fa2d5e28f9f27dbb}, intrahash = {a7150cab9db595c7d7bc82ce083ec467}, isbn = {978-1-7281-1179-7}, keywords = {dblp}, pages = {2242-2247}, publisher = {IEEE}, timestamp = {2024-04-09T14:37:32.000+0200}, title = {A comprehensive evaluation of state-of-the-art time-series deep learning models for activity-recognition in post-stroke rehabilitation assessment.}, url = {http://dblp.uni-trier.de/db/conf/embc/embc2021.html#BoukhennoufaZUJ21}, year = 2021 }