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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.ucl.ac.uk/id/eprint/10166408
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