| 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 23 (1), 64-83, 2020 | 61 | 2020 |
| 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 | 25 | 2018 |
| 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, 621-636, 2020 | 20 | 2020 |
| Deep state-space Gaussian processes Z Zhao, M Emzir, S Särkkä Statistics and Computing 31, 1-26, 2021 | 14 | 2021 |
| 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 | 11* | 2020 |
| 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 | 9 | 2018 |
| 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 | 5 | 2019 |
| 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 | 4 | 2020 |
| 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 | 4 | 2019 |
| Image restoration with mean-reverting stochastic differential equations Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön arXiv preprint arXiv:2301.11699, 2023 | 3 | 2023 |
| Temporal Gaussian Process Regression in Logarithmic Time A Corenflos, Z Zhao, S Särkkä 2022 25th International Conference on Information Fusion (FUSION), 1-5, 2022 | 3 | 2022 |
| State-space deep Gaussian processes with applications Z Zhao arXiv preprint arXiv:2111.12604, 2021 | 3 | 2021 |
| Multidimensional projection filters via automatic differentiation and sparse-grid integration MF Emzir, Z Zhao, S Särkkä Signal Processing 204, 108832, 2023 | 2 | 2023 |
| 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 | 2 | 2019 |
| Gaussian process regression in logarithmic time A Corenflos, Z Zhao, S Särkkä arXiv preprint arXiv:2102.09964, 2021 | 1 | 2021 |
| Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models Z Luo, FK Gustafsson, Z Zhao, J Sjölund, TB Schön arXiv preprint arXiv:2304.08291, 2023 | | 2023 |
| Gaussian-Based Parametric Bijections For Automatic Projection Filters MF Emzir, Z Zhao, L Cheded, S Särkkä arXiv preprint arXiv:2303.17290, 2023 | | 2023 |
| Stochastic filtering with moment representation Z Zhao, J Sarmavuori arXiv preprint arXiv:2303.13895, 2023 | | 2023 |
| Probabilistic Estimation of Instantaneous Frequencies of Chirp Signals Z Zhao, S Särkkä, J Sjölund, TB Schön IEEE Transactions on Signal Processing 71, 461-476, 2023 | | 2023 |
| Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors MF Emzir, NA Loppi, Z Zhao, SS Hassan, S Särkkä 2022 25th International Conference on Information Fusion (FUSION), 1-7, 2022 | | 2022 |
Simo SärkkäAssociate Professor, Aalto UniversityVerified email at aalto.fi
