Methods from machine learning (ML) have transformed the implementation of Perception-
Cognition-Communication-Action loops in Cyber-Physical Systems (CPS) and the Internet of …

Wearable sensors have become ubiquitous thanks to a variety of health tracking features.
The resulting continuous and longitudinal measurements from everyday life generate large …

Time Series Foundation Models (TSFMs) have recently garnered attention for their ability to
model complex, large-scale time series data across domains such as retail, finance, and …

This paper adds to the growing literature of reinforcement learning (RL) for healthcare by
proposing a novel paradigm: augmenting any predictor with Rule-based RL Layer (RRLL) …

Gold-standard sleep scoring as performed by human technicians is based on a subset of
PSG signals, namely the EEG, EOG, and EMG. The PSG, however, consists of many more …

Pediatric sleep is an important but often overlooked area in health informatics. We present
PedSleepMAE, a generative model that fully leverages multimodal pediatric sleep signals …

Learning Meaningful Representations of Life 2025 (LMRL 2025) aims to address the
growing interest in large-scale representation learning for biological data, driven by the …