Guanchao Feng

Orcid: 0000-0001-6021-0243

According to our database1, Guanchao Feng authored at least 19 papers between 2017 and 2024.

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Bibliography

2024
Measuring Strength of Joint Causal Effects.
IEEE Trans. Signal Process., 2024

Explainable Learning with Gaussian Processes.
CoRR, 2024

Improving Open-Set Recognition with Bayesian Metric Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

Open Set Recognition for Random Forest.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023
On Causal Discovery With Convergent Cross Mapping.
IEEE Trans. Signal Process., 2023

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

2022
A Differential Measure of the Strength of Causation.
IEEE Signal Process. Lett., 2022

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

Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes.
IEEE J. Biomed. Health Informatics, 2021

2020
Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 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
RF-based Analytics Generated by Tag-to-tag Networks.
Proceedings of the IEEE International Conference on Acoustics, 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
Recovery of missing samples in fetal heart rate recordings with Gaussian processes.
Proceedings of the 25th European Signal Processing Conference, 2017


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