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Zheng Zhao
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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
252020
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
202018
Kalman-based spectro-temporal ECG analysis using deep convolutional networks for atrial fibrillation detection
Z Zhao, S Särkkä, AB Rad
Journal of Signal Processing Systems 92 (7), 621-636, 2020
122020
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
92018
Deep state-space Gaussian processes
Z Zhao, M Emzir, S Särkkä
Statistics and Computing 31 (6), 1-26, 2021
72021
Taylor moment expansion for continuous-discrete Gaussian filtering
Z Zhao, T Karvonen, R Hostettler, S Särkkä
IEEE Transactions on Automatic Control 66 (9), 4460-4467, 2020
62020
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
42020
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
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
32019
Temporal Gaussian Process Regression in Logarithmic Time
A Corenflos, Z Zhao, S Särkkä
2022 25th International Conference on Information Fusion (FUSION), 1-5, 2022
22022
Taylor moment expansion for continuous-discrete Gaussian filtering and smoothing
Z Zhao, T Karvonen, R Hostettler, S Särkkä
arXiv preprint arXiv:2001.02466, 2020
22020
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 e-prints, arXiv: 1909.02971, 2019
22019
State-space deep Gaussian processes with applications
Z Zhao
arXiv preprint arXiv:2111.12604, 2021
12021
Gaussian process regression in logarithmic time
A Corenflos, Z Zhao, S Särkkä
arXiv preprint arXiv 2102, 2021
12021
Probabilistic Estimation of Chirp Instantaneous Frequency Using Gaussian Processes
Z Zhao, S Särkkä, J Sjölund, TB Schön
arXiv preprint arXiv:2205.06306, 2022
2022
Sensors and AI Techniques for Situational Awareness in Autonomous Ships
S Thombre, Z Zhao, H Ramm-Schmidt, JM Vallet Garcia, T Malkamäki, ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022
2022
Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration
MF Emzir, Z Zhao, S Särkkä
arXiv preprint arXiv:2112.10594, 2021
2021
Non-linear Gaussian smoothing with Taylor moment expansion
Z Zhao, S Särkkä
IEEE Signal Processing Letters 29, 80-84, 2021
2021
Hierarchical Non-Stationary Temporal Gaussian Processes With -Regularization
Z Zhao, R Gao, S Särkkä
arXiv preprint arXiv:2105.09695, 2021
2021
Taylor moment expansion for continuous-discrete Gaussian filtering and smoothing
T Karvonen, Z Zhao, R Hostettler, S Sarkka
IEEE Transactions on Automatic Control 66 (9), 4460-4467, 2021
2021
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