InfoLab, University of Southern California
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w4h-integrated-toolkit
w4h-integrated-toolkit PublicThe W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
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fhipe
fhipe PublicForked from kevinlewi/fhipe
An implementation of Function-Hiding Inner Product Encryption
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USC-InfoLab/w4h-icde-demo’s past year of commit activity - pyFitbitAPI Public
USC-InfoLab/pyFitbitAPI’s past year of commit activity - NeuroGNN Public
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
USC-InfoLab/NeuroGNN’s past year of commit activity - infolab.usc.edu Public template Forked from alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
USC-InfoLab/infolab.usc.edu’s past year of commit activity - w4h-integrated-toolkit Public
The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
USC-InfoLab/w4h-integrated-toolkit’s past year of commit activity
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