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Hammerla, N, Ploetz, T, Rochester, L, Fisher, J, Walker, R and Andras, PE (2015) PD disease state assessment in naturalistic environments using deep learning. In: The Twenty-Ninth AAAI Conference on Artificial Intelligence, 25-30 Jan 2015, Austin, USA.

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Hammerla et al 2015 - PD DiseaseState - final.pdf - Accepted Version
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Item Type: Conference or Workshop Item (Paper)
Additional Information: HAMMERLA, N.; FISHER, J.; ANDRAS, P.; ROCHESTER, L.; WALKER, R.; PLOETZ, T.. PD Disease State Assessment in Naturalistic Environments Using Deep Learning. AAAI Conference on Artificial Intelligence, North America, feb. 2015. Available at: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9930/9459
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 05 Dec 2016 14:37
Last Modified: 29 Apr 2019 11:40
URI: https://eprints.keele.ac.uk/id/eprint/2573

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