Follow
Griffin Lacey
Griffin Lacey
Verified email at uoguelph.ca
Title
Cited by
Cited by
Year
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
5332021
Deep Learning on FPGAs: Past, Present, and Future
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 2016
2502016
Learning human identity from motion patterns
N Neverova, C Wolf, G Lacey, L Fridman, D Chandra, B Barbello, G Taylor
IEEE Access 4, 1810-1820, 2016
2252016
Caffeinated FPGAs: FPGA framework for convolutional neural networks
R DiCecco, G Lacey, J Vasiljevic, P Chow, G Taylor, S Areibi
2016 International Conference on Field-Programmable Technology (FPT), 265-268, 2016
1572016
Deep learning architectures for soil property prediction
M Veres, G Lacey, GW Taylor
2015 12th Conference on Computer and Robot Vision, 8-15, 2015
602015
Stochastic layer-wise precision in deep neural networks
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1807.00942, 2018
212018
Deep learning on fpgas: Past, present, and future. arXiv 2016
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 0
14
Deep Learning on FPGAs: Past, Present, and Future.(2016)
G Lacey, GW Taylor, S Areibi
arXiv preprint arXiv:1602.04283, 2016
72016
e Silva PMC
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
62021
Deep Learning on FPGAs: Past
G Lacey, GW Taylor, S Areibi
Present, and Future, 2016
52016
Deep learning on FPGAs
GJ Lacey
University of Guelph, 2016
52016
Deep learning on FPGAs: past, present, and future. CoRR abs/1602.04283 (2016)
G Lacey, GW Taylor, S Areibi
42016
Federated learning for predicting clinical outcomes in covid-19 patients
I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, ...
Nature Medicine, 2021
12021
Collaborators
N Neverova, C Wolf, G Lacey
2015
The system can't perform the operation now. Try again later.
Articles 1–14