Cassandra Heiselman

According to our database, Cassandra Heiselman authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Unsupervised Clustering and Analysis of Contraction-Dependent Fetal Heart Rate Segments.

Liu Yang, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Phase-Rectified Signal Averaging for Fetal Heart Rate Analysis.

Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric

Proceedings of the IEEE International Conference on Acoustics, 2022

Boost Ensemble Learning for Classification of CTG SIGNALS.

Marzieh Ajirak, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric

Proceedings of the IEEE International Conference on Acoustics, 2022

Characterizing Fetal Heart Rate From A State Space Perspective.

Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric

Proceedings of the 30th European Signal Processing Conference, 2022

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

Proceedings of the IEEE International Conference on Acoustics, 2021

Identification of Uterine Contractions by An Ensemble of Gaussian Processes.

Liu Yang, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the 29th European Signal Processing Conference, 2021

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

Proceedings of the 29th European Signal Processing Conference, 2021

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

Estimation of Consecutively Missed Samples in Fetal Heart Rate Recordings.

Guanchao Feng, J. Gerald Quirk, Cassandra Heiselman, Petar M. Djuric

Proceedings of the 28th European Signal Processing Conference, 2020