Jian Qing Shi
Orcid: 0000-0002-2924-1137
According to our database1,
Jian Qing Shi
authored at least 22 papers
between 2003 and 2024.
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Bibliography
2024
Intrinsic Wrapped Gaussian Process Regression Modeling for Manifold-valued Response Variable.
CoRR, 2024
2023
Int. J. Medical Informatics, November, 2023
Editorial for the 2nd special issue on high-dimensional and functional data analysis.
Comput. Stat. Data Anal., August, 2023
Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers.
CCF Trans. Pervasive Comput. Interact., June, 2023
Joint classification and prediction of random curves using heavy-tailed process functional regression.
Pattern Recognit., April, 2023
2022
A systematic review and meta-analysis of digital application use in clinical research in pain medicine.
Frontiers Digit. Health, 2022
2021
Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data.
Comput. Stat., 2021
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models.
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021
2020
Stat. Comput., 2020
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments.
CoRR, 2020
Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions.
IEEE Access, 2020
2019
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.
Sensors, 2019
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019
2018
Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions.
Comput. Stat., 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
2013
Proceedings of the Brain and Health Informatics - International Conference, 2013
2010
Comput. Stat. Data Anal., 2010
2008
Curve prediction and clustering with mixtures of Gaussian process functional regression models.
Stat. Comput., 2008
2005
2003
Proceedings of the Switching and Learning in Feedback Systems, 2003