Zheng Zhao
Title
Cited by
Cited by
Year
Spectro-temporal ECG analysis for atrial fibrillation detection
Z Zhao, S Särkkä, AB Rad
2018 IEEE 28Th international workshop on machine learning for signal …, 2018
112018
Regularized state estimation and parameter learning via augmented Lagrangian Kalman smoother method
R Gao, F Tronarp, Z Zhao, S Särkä
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
42019
An improved quantum particle swarm optimisation and its application on hand kinematics tracking
Z Zhao, N Yu
International Journal of Intelligent Engineering Informatics 6 (3-4), 266-294, 2018
42018
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection.
Z Zhao, S Särkkä, AB Rad
J. Signal Process. Syst. 92 (7), 621-636, 2020
32020
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
A Bahrami Rad, M Zabihi, Z Zhao, M Gabbouj, AK Katsaggelos, S Särkkä
arXiv, arXiv: 1909.02971, 2019
22019
State-Space Gaussian Process for Drift Estimation in Stochastic Differential Equations
Z Zhao, F Tronarp, R Hostettler, S Särkkä
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
12020
Taylor moment expansion for continuous-discrete Gaussian filtering and smoothing
Z Zhao, T Karvonen, R Hostettler, S Särkkä
arXiv preprint arXiv:2001.02466, 2020
12020
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review
S Thombre, Z Zhao, H Ramm-Schmidt, JMV García, T Malkamäki, ...
IEEE Transactions on Intelligent Transportation Systems, 2020
2020
Parameter Estimation in Non-Linear State-Space Models by Automatic Differentiation of Non-Linear Kalman Filters
A Gorad, Z Zhao, S Särkkä
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
2020
Deep State-Space Gaussian Processes
Z Zhao, M Emzir, S Särkkä
arXiv preprint arXiv:2008.04733, 2020
2020
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
AB Rad, M Zabihi, Z Zhao, M Gabbouj, AK Katsaggelos, S Särkkä
arXiv preprint arXiv:1909.02971, 2019
2019
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