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2020 – today
- 2023
[j15]Xi Chen, Yu Guan
, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre:
Designing compact features for remote stroke rehabilitation monitoring using wearable accelerometers. CCF Trans. Pervasive Comput. Interact. 5(2): 206-225 (2023)- [j14]Jeng-Min Chiou, Frédéric Ferraty, Jeff Goldsmith, Debashis Paul, Jian Qing Shi:
Editorial for the 2nd special issue on high-dimensional and functional data analysis. Comput. Stat. Data Anal. 184: 107726 (2023) - [j13]Gayathri Delanerolle, Peter Phiri, Heitor Cavalini, David Benfield, Ashish Shetty, Yassine Bouchareb, Jian Qing Shi, Alain B. Zemkoho:
Synthetic data & the future of Women's Health: A synergistic relationship. Int. J. Medical Informatics 179: 105238 (2023) - [j12]Chunzheng Cao, Xin Liu, Shuren Cao, Jian Qing Shi:
Joint classification and prediction of random curves using heavy-tailed process functional regression. Pattern Recognit. 136: 109213 (2023) - 2022
- [j11]Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang:
Editorial: Bayesian Inference and AI. Frontiers Big Data 5 (2022) - [j10]Ashish Shetty, Gayathri Delanerolle, Yutian Zeng, Jian Qing Shi, Rawan Ebrahim, Joanna Pang, Dharani Hapangama, Martin Sillem, Suchith Shetty, Balakrishnan Shetty, Martin Hirsch, Vanessa Raymont, Kingshuk Majumder, Sam Chong, William Goodison, Rebecca O'hara, Louise Hull, Nicola Pluchino, Naresh Shetty, Sohier Elneil, Tacson Fernandez, Robert M. Brownstone, Peter Phiri:
A systematic review and meta-analysis of digital application use in clinical research in pain medicine. Frontiers Digit. Health 4 (2022) - 2021
- [j9]Zhanfeng Wang, Maengseok Noh, Youngjo Lee, Jian Qing Shi:
A general robust t-process regression model. Comput. Stat. Data Anal. 154: 107093 (2021) - [j8]Chunzheng Cao, Ming He, Jian Qing Shi, Xin Liu:
Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data. Comput. Stat. 36(2): 1461-1479 (2021) - [c5]Yang Bai, Yu Guan, Jian Qing Shi, Wan-Fai Ng:
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models. ISWC 2021: 129-131 - [i2]Yang Bai, Yu Guan, Jian Qing Shi, Wan-Fai Ng:
Towards Automated Fatigue Assessment using Wearable Sensing and Mixed-Effects Models. CoRR abs/2108.04022 (2021) - 2020
- [j7]Chunzheng Cao, Ziyue Wang, Jian Qing Shi, Yunjie Chen:
Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions. IEEE Access 8: 109835-109844 (2020) - [j6]Yafeng Cheng, Jian Qing Shi, Janet A. Eyre:
Nonlinear mixed-effects scalar-on-function models and variable selection. Stat. Comput. 30(1): 129-140 (2020) - [i1]Xi Chen, Yu Guan, Jian Qing Shi, Xiu-Li Du, Janet A. Eyre:
Automated Stroke Rehabilitation Assessment using Wearable Accelerometers in Free-Living Environments. CoRR abs/2009.08798 (2020)
2010 – 2019
- 2019
- [j5]Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, Brook Galna, Sue Lord, Alison J. Yarnall, Yu Guan, Lynn Rochester:
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease. Sensors 19(24): 5363 (2019) - [c4]Shane Halloran, Lin Tang, Yu Guan, Jian Qing Shi, Janet A. Eyre:
Remote monitoring of stroke patients' rehabilitation using wearable accelerometers. UbiComp 2019: 72-77 - 2018
- [j4]Chunzheng Cao, Mengqian Chen, Yahui Wang, Jian Qing Shi:
Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions. Comput. Stat. 33(1): 319-338 (2018) - [c3]Shane Halloran, Jian Qing Shi, Yu Guan, Xi Chen, Michael Dunne-Willows, Janet A. Eyre:
Remote Cloud-Based Automated Stroke Rehabilitation Assessment Using Wearables. eScience 2018: 302 - 2013
- [c2]Jian Qing Shi, Y. Cheng, J. Serradilla, Graham Morgan, C. Lambden, Gary A. Ford, Christopher Price, Helen Rodgers, T. Cassidy, Lynn Rochester, Janet A. Eyre:
Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data. Brain and Health Informatics 2013: 181-192 - 2010
- [j3]Woojoo Lee, Jian Qing Shi, Youngjo Lee:
Approximate conditional inference in mixed-effects models with binary data. Comput. Stat. Data Anal. 54(1): 173-184 (2010)
2000 – 2009
- 2008
- [j2]Jian Qing Shi, B. Wang:
Curve prediction and clustering with mixtures of Gaussian process functional regression models. Stat. Comput. 18(3): 267-283 (2008) - 2005
- [j1]Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington:
Hierarchical Gaussian process mixtures for regression. Stat. Comput. 15(1): 31-41 (2005) - 2003
- [c1]Jian Qing Shi, Roderick Murray-Smith, D. M. Titterington, Barak A. Pearlmutter:
Filtered Gaussian Processes for Learning with Large Data-Sets. European Summer School on Multi-AgentControl 2003: 128-139
Coauthor Index
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