46 citations · 77 across the 3 of their papers we have counts for
4 papers
U-Sleep's resilience to AASM guidelines
Luigi Fiorillo, Giuliana Monachino, Julia van der Meer +7
AASM guidelines are the result of decades of efforts aiming at standardizing sleep scoring procedure, with the final goal of sharing a worldwide common methodology. The guidelines…
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning
Abdelhak Lemkhenter, Paolo Favaro
In this work we introduce a novel meta-learning method for sleep scoring based on self-supervised learning. Our approach aims at building models for sleep scoring that can generali…
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
Luigi Fiorillo, Davide Pedroncelli, Valentina Agostini +2
Study Objectives: Inter-scorer variability in scoring polysomnograms is a well-known problem. Most of the existing automated sleep scoring systems are trained using labels annotate…
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
Luigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci
Deep learning is widely used in the most recent automatic sleep scoring algorithms. Its popularity stems from its excellent performance and from its ability to directly process raw…