A learnable hyperdimensional computing model with RR-interval segmentation and proxy metric learning reaches 73.09% accuracy on Apnea-ECG, with a 124.5 KB binary model.
Inceptiontime: Finding alexnet for time series classification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment
A learnable hyperdimensional computing model with RR-interval segmentation and proxy metric learning reaches 73.09% accuracy on Apnea-ECG, with a 124.5 KB binary model.