3 papers
eess.SP2026
Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention
Guisong Liu, Pengfei Wei, Jainsong Zhang +1
Mobile sleep staging serves as a foundational infrastructure for in-home sleep monitoring and closed-loop modulation. But existing sequential models such as RNNs and Transformers a…
cs.LG2026
Rethinking Random Transformers as Adaptive Sequence Smoothers for Sleep Staging
Guisong Liu, Xin Gao, Martin Dresler +2
Automatic sleep staging commonly adopts Transformers under the assumption that they learn complex long-range dependencies. We challenge this view by revealing a neglected property…
cs.LG2025
eegFloss: A Python package for refining sleep EEG recordings using machine learning models
Niloy Sikder, Paul Zerr, Mahdad Jafarzadeh Esfahani +2
Electroencephalography (EEG) allows monitoring of brain activity, providing insights into the functional dynamics of various brain regions and their roles in cognitive processes. E…