FRACTAL integrates fractional recurrent architecture into SSMs using a tunable singularity index to capture multi-scale temporal features, reporting 87.11% average on Long Range Arena and outperforming S5.
N., Kaiser, ., and Polosukhin, I
2 Pith papers cite this work. Polarity classification is still indexing.
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Self-supervised cross-attention on bilateral wrist IMU signals achieves 93% accuracy distinguishing Parkinson's from healthy controls and 87-92% from other diagnoses using only 20% labeled data.
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FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences
FRACTAL integrates fractional recurrent architecture into SSMs using a tunable singularity index to capture multi-scale temporal features, reporting 87.11% average on Long Range Arena and outperforming S5.
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Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals
Self-supervised cross-attention on bilateral wrist IMU signals achieves 93% accuracy distinguishing Parkinson's from healthy controls and 87-92% from other diagnoses using only 20% labeled data.