Deep Learning

SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks

Abedin, A., H. S. Rezatofighi, Q. Shi, and D. C. Ranasinghe

"SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks"

International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, 2019.

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Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial

Visvanathan, R., D. C. Ranasinghe, A. Wilson, K. Lange, J. Dollard, E. Boyle, J. Karnon, E. Raygan, S. Maher, K. Ingram, et al.

"Effectiveness of an Ambient Intelligent Geriatric Management system (AmbIGeM) to prevent falls in older people in hospitals: protocol for the AmbIGeM stepped wedge pragmatic trial"

Injury Prevention, In Press.

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Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks

Yao, R., G. Lin, Q. Shi, and D. C. Ranasinghe

"Efficient Dense Labelling of Human Activity Sequences from Wearables using Fully Convolutional Networks"

Pattern Recognition, vol. 78, pp. 252-266, 2018.

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Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables

Abedin, A., E. Abbasnejad, Q. Shi, D. C. Ranasinghe, and H. S. Rezatofighi

"Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables"

International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2018), New York, USA, 2018.

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