Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs

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Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs

Mahdi Dehshibi, M; Olugbade, T; Diaz-de-Maria, F; Berthouze, N; Tajadura-Jimenez, A; (2023) Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs. IEEE Journal of Selected Topics in Signal Processing (In press). Green open access

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Type:	Article
Title:	Pain level and pain-related behaviour classification using GRU-based sparsely-connected RNNs
Open access status:	An open access version is available from UCL Discovery
Publisher version:	https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?pu...
Language:	English
Additional information:	This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification:	UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
URI:	https://discovery-pp.ucl.ac.uk/id/eprint/10166408

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