J. Gerald Quirk

According to our database1, J. Gerald Quirk authored at least 21 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fetal Heart Rate Analysis from a Multi-task Learning Perspective with Gaussian Processes.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Unsupervised Clustering and Analysis of Contraction-Dependent Fetal Heart Rate Segments.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Phase-Rectified Signal Averaging for Fetal Heart Rate Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2022

Boost Ensemble Learning for Classification of CTG SIGNALS.
Proceedings of the IEEE International Conference on Acoustics, 2022

Characterizing Fetal Heart Rate From A State Space Perspective.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Class-Imbalanced Classifiers Using Ensembles of Gaussian Processes And Gaussian Process Latent Variable Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

Identification of Uterine Contractions by An Ensemble of Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Discovering Causalities from Cardiotocography Signals using Improved Convergent Cross Mapping with Gaussian Processes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Estimation of Consecutively Missed Samples in Fetal Heart Rate Recordings.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Inference about Causality from Cardiotocography Signals Using Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Extracting Interpretable Features for Fetal Heart Rate Recordings with Gaussian Processes.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Detecting Causality using Deep Gaussian Processes.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2017
Fetal heart rate classification by non-parametric Bayesian methods.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Recovery of missing samples in fetal heart rate recordings with Gaussian processes.
Proceedings of the 25th European Signal Processing Conference, 2017

Analysis of fetal heart rate series by nonparametric hidden Markov models.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Fetal heart rate analysis by hierarchical dirichlet process mixture models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014
Fetal Heart Rate Classification Using Generative Models.
IEEE Trans. Biomed. Eng., 2014

2012
Classification of fetal heart rate series.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Learning dependencies among fetal heart rate features using Bayesian networks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Implementation of NICHD diagnostic criteria for feature extraction and classification of fetal heart rate signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011


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