Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring

1 code implementation • 15 Jul 2022 • Jeroen Van Der Donckt, Jonas Van Der Donckt, Emiel Deprost, Nicolas Vandenbussche, Michael Rademaker, Gilles Vandewiele, Sofie Van Hoecke

We show that, for the sleep stage scoring task, the expressiveness of an engineered feature vector is on par with the internally learned representations of deep learning models.

Automatic Sleep Stage Classification BIG-bench Machine Learning +3