2 citations · 2 across the 5 of their papers we have counts for
5 papers
Learning Kernels by Alignment for Multiclass Bayes Classification
Hollan Haule, Alfredo Gonzalez-Sulser, Javier Escudero
Kernel methods separate data representation from decision-making, but typically require the kernel to be chosen in advance. We show that this kernel can instead be learned by align…
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…
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…
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…
Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU
Hollan Haule, Evangelos Kafantaris, Tsz-Yan Milly Lo +2
Physiological monitoring in intensive care units (ICU) generates data that can be used in clinical research. However, the recording conditions in clinical settings limit the automa…