3 papers
cs.LG2025
PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets
Bartlomiej Chybowski, Shima Abdullateef, Hollan Haule +2
Reliable seizure detection is critical for diagnosing and managing epilepsy, yet clinical workflows remain dependent on time-consuming manual EEG interpretation. While machine lear…
cs.LG2024
Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals
Hollan Haule, Ian Piper, Patricia Jones +2
In Intensive Care Units (ICU), the abundance of multivariate time series presents an opportunity for machine learning (ML) to enhance patient phenotyping. In contrast to previous r…
cs.LG2024
VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series
Hollan Haule, Ian Piper, Patricia Jones +3
Artifacts are a common problem in physiological time series collected from intensive care units (ICU) and other settings. They affect the quality and reliability of clinical resear…