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…
nlin.CD2024
Graph Permutation Entropy: Extensions to the Continuous Case, A step towards Ordinal Deep Learning, and More
Om Roy, Avalon Campbell-Cousins, John Stewart Fabila Carrasco +2
Nonlinear dynamics play an important role in the analysis of signals. A popular, readily interpretable nonlinear measure is Permutation Entropy. It has recently been extended for t…
math.CO2023
Dispersion entropy: A Measure of Irregularity for Graph Signals
John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero
We introduce a novel method, called Dispersion Entropy for Graph Signals, , as a powerful tool for analysing the irregularity of signals defined on graphs. We demonstrate the…