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Browsing by Author "Zhao, Zheng"

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Title: Deep state-space Gaussian processes Author(s): Zhao, Zheng; Emzir, Muhammad; Särkkä, Simo Date: 2021-11 Series: STATISTICS AND COMPUTING, Volume 31, issue 6
Title: Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection Author(s): Zhao, Zheng; Särkkä, Simo; Rad, Ali Bahrami Date: 2020-07-01 Series: Journal of Signal Processing Systems
Title: Multidimensional projection filters via automatic differentiation and sparse-grid integration Author(s): Emzir, Muhammad Fuady; Zhao, Zheng; Särkkä, Simo Date: 2023-03 Series: Signal Processing, Volume 204
Title: Non-linear Gaussian smoothing with Taylor moment expansion Author(s): Zhao, Zheng; Särkkä, Simo Date: 2022 Series: IEEE Signal Processing Letters, Volume 29
Title: Parameter estimation in non-linear state-space models by automatic differentiation of non-linear kalman filters Author(s): Gorad, Ajinkya; Zhao, Zheng; Särkkä, Simo Date: 2020-09 Series: Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020, IEEE International Workshop on Machine Learning for Signal Processing
Title: Sensors and AI Techniques for Situational Awareness in Autonomous Ships Author(s): Thombre, Sarang; Zhao, Zheng; Ramm-Schmidt, Henrik; Vallet Garcia, Jose M.; Malkamäki, Tuomo; Nikolskiy, Sergey; Hammarberg, Toni; Nuortie, Hiski; Bhuiyan, M. Zahidul H.; Särkkä, Simo; Lehtola, Ville V. Date: 2022-01-01 Series: IEEE Transactions on Intelligent Transportation Systems, Volume 23, issue 1
Title: Spectro-Temporal ECG Analysis for Atrial Fibrillation Detection Author(s): Zhao, Zheng; Särkkä, Simo; Bahrami Rad, Ali Date: 2018 Series: 2018 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2018, IEEE International Workshop on Machine Learning for Signal Processing
Title: State-space deep Gaussian processes with applications Author(s): Zhao, Zheng Date: 2021 Series: Aalto University publication series DOCTORAL DISSERTATIONS, 163/2021 School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2021-12-10
Title: State-space Gaussian Process for Drift Estimation in Stochastic Differential Equations Author(s): Zhao, Zheng; Tronarp, Filip; Hostettler, Roland; Särkkä, Simo Date: 2020-05 Series: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
Title: Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering Author(s): Zhao, Zheng; Karvonen, Toni; Hostettler, Roland; Särkkä, Simo Date: 2021-09 Series: IEEE Transactions on Automatic Control