Estimation of Consecutively Missed Samples in Fetal Heart Rate Recordings. - Guanchao Feng; J. Gerald Quirk; Cassandra Heiselman; Petar M. Djuric (EUSIPCO, 2020)

GP-LVM of categorical data from test-positive COVID-19 pregnant women. - Marzieh Ajirak; Cassandra Heiselman; Anna Fuchs; Mia Heiligenstein; Kimberly Herrera; Diana Garretto; Petar M. Djuric (CoRR, 2020)

Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women. - Marzieh Ajirak; Cassandra Heiselman; Anna Fuchs; Mia Heiligenstein; Kimberly Herrera; Diana Garretto; Petar M. Djuric (EUSIPCO, 2021)

Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction. - Liu Yang; Marzieh Ajirak; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (EUSIPCO, 2021)

Identification of Uterine Contractions by An Ensemble of Gaussian Processes. - Liu Yang; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (ICASSP, 2021)

Class-Imbalanced Classifiers Using Ensembles of Gaussian Processes And Gaussian Process Latent Variable Models. - Liu Yang; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (ICASSP, 2021)

Characterizing Fetal Heart Rate From A State Space Perspective. - Tong Chen; Guanchao Feng; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (EUSIPCO, 2022)

Boost Ensemble Learning for Classification of CTG SIGNALS. - Marzieh Ajirak; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (ICASSP, 2022)

Improving Phase-Rectified Signal Averaging for Fetal Heart Rate Analysis. - Tong Chen; Guanchao Feng; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (ICASSP, 2022)

Unsupervised Clustering and Analysis of Contraction-Dependent Fetal Heart Rate Segments. - Liu Yang; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (ICASSP, 2022)

Fetal Heart Rate Analysis from a Multi-task Learning Perspective with Gaussian Processes. - Tong Chen; Guanchao Feng; Cassandra Heiselman; J. Gerald Quirk; Petar M. Djuric (EUSIPCO, 2023)