Artykuły udostępnione publicznie: - Theodore WillkeWięcej informacji
Niedostępne w żadnym miejscu: 3
Role-based graph embeddings
NK Ahmed, RA Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry
IEEE Transactions on Knowledge and Data Engineering 34 (5), 2401-2415, 2020
Upoważnienia: US National Science Foundation, US Department of Energy, US Department of …
Real-time full correlation matrix analysis of fMRI data
Y Wang, B Keller, M Capota, MJ Anderson, N Sundaram, JD Cohen, K Li, ...
2016 IEEE International Conference on Big Data (Big Data), 1242-1251, 2016
Upoważnienia: US National Science Foundation
Learning code representations using multifractal-based graph networks
G Ma, Y Xiao, M Capotă, TL Willke, S Nazarian, P Bogdan, NK Ahmed
2021 IEEE International Conference on Big Data (Big Data), 1858-1866, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
Dostępne w jakimś miejscu: 12
Computational approaches to fMRI analysis
JD Cohen, N Daw, B Engelhardt, U Hasson, K Li, Y Niv, KA Norman, ...
Nature neuroscience 20 (3), 304-313, 2017
Upoważnienia: US National Science Foundation, US National Institutes of Health
How well do graph-processing platforms perform? an empirical performance evaluation and analysis
Y Guo, M Biczak, AL Varbanescu, A Iosup, C Martella, TL Willke
2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014
Upoważnienia: National Natural Science Foundation of China
Graphlet decomposition: Framework, algorithms, and applications
NK Ahmed, J Neville, RA Rossi, NG Duffield, TL Willke
Knowledge and Information Systems 50, 689-722, 2017
Upoważnienia: US Department of Energy
Deep graph similarity learning: A survey
G Ma, NK Ahmed, TL Willke, PS Yu
Data Mining and Knowledge Discovery 35, 688-725, 2021
Upoważnienia: US National Science Foundation
Deep graph similarity learning for brain data analysis
G Ma, NK Ahmed, TL Willke, D Sengupta, MW Cole, NB Turk-Browne, ...
Proceedings of the 28th ACM international conference on information and …, 2019
Upoważnienia: US National Science Foundation, National Natural Science Foundation of China
BrainIAK: the brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da, 2022
Upoważnienia: US National Institutes of Health
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns
JR Manning, X Zhu, TL Willke, R Ranganath, K Stachenfeld, U Hasson, ...
NeuroImage 180, 243-252, 2018
Upoważnienia: US National Science Foundation, US National Institutes of Health
Targeted rapid knee MRI exam using T2 shuffling
JI Tamir, V Taviani, MT Alley, BC Perkins, L Hart, K O'Brien, F Wishah, ...
Journal of magnetic resonance imaging 49 (7), e195-e204, 2019
Upoważnienia: US National Institutes of Health
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors
Y Wang, MJ Anderson, JD Cohen, A Heinecke, K Li, N Satish, ...
Proceedings of the International Conference for High Performance Computing …, 2015
Upoważnienia: US National Institutes of Health
Enabling factor analysis on thousand-subject neuroimaging datasets
MJ Anderson, M Capotă, JS Turek, X Zhu, TL Willke, Y Wang, PH Chen, ...
IEEE International Conference on Big Data, 2016
Upoważnienia: US Department of Energy
A distributed graph-theoretic framework for automatic parallelization in multi-core systems
G Ma, Y Xiao, T Willke, N Ahmed, S Nazarian, P Bogdan
Proceedings of Machine Learning and Systems 3, 550-568, 2021
Upoważnienia: US National Science Foundation, US Department of Defense
End-to-end programmable computing systems
Y Xiao, G Ma, NK Ahmed, M Capotă, TL Willke, S Nazarian, P Bogdan
Communications Engineering 2 (1), 84, 2023
Upoważnienia: US National Science Foundation, US Department of Defense
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