10 citations · 14 across the 3 of their papers we have counts for
4 papers · 1 filter
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows
Anubhab Ghosh, Antoine Honoré, Dong Liu +2
We test the robustness of a maximum-likelihood (ML) based classifier where sequential data as observation is corrupted by noise. The hypothesis is that a generative model, that com…
Hidden Markov Models for sepsis detection in preterm infants
Antoine Honore, Dong Liu, David Forsberg +4
We explore the use of traditional and contemporary hidden Markov models (HMMs) for sequential physiological data analysis and sepsis prediction in preterm infants. We investigate t…
Powering Hidden Markov Model by Neural Network based Generative Models
Dong Liu, Antoine Honoré, Saikat Chatterjee +1
Hidden Markov model (HMM) has been successfully used for sequential data modeling problems. In this work, we propose to power the modeling capacity of HMM by bringing in neural net…
Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events
Antoine Honoré, Veronica Siljehav, Saikat Chatterjee +1
Apnea, bradycardia and desaturation (ABD) events often precede life-threatening events including sepsis in newborn babies. Here, we explore machine learning for detection of ABD ev…