| Gaussian process regression for multivariate spectroscopic calibration T Chen, J Morris, E Martin Chemometrics and Intelligent Laboratory Systems 87 (1), 59-71, 2007 | 234 | 2007 |
| Particle filters for state and parameter estimation in batch processes T Chen, J Morris, E Martin Journal of Process Control 15 (6), 665-673, 2005 | 221 | 2005 |
| Bagging for Gaussian process regression T Chen, J Ren Neurocomputing 72 (7-9), 1605-1610, 2009 | 194 | 2009 |
| Robust probabilistic PCA with missing data and contribution analysis for outlier detection T Chen, E Martin, G Montague Computational Statistics & Data Analysis 53 (10), 3706-3716, 2009 | 160 | 2009 |
| Automatic accent identification using Gaussian mixture models T Chen, C Huang, E Chang, J Wang IEEE workshop on ASRU, 2001 | 156 | 2001 |
| Process fault diagnosis with model-and knowledge-based approaches: Advances and opportunities W Li, H Li, S Gu, T Chen Control Engineering Practice 105, 104637, 2020 | 145 | 2020 |
| Gaussian process regression with multiple response variables B Wang, T Chen Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015 | 135 | 2015 |
| Accent issues in large vocabulary continuous speech recognition C Huang, T Chen, E Chang International Journal of Speech Technology 7 (2), 141-153, 2004 | 132 | 2004 |
| Optimal dosing of cancer chemotherapy using model predictive control and moving horizon state/parameter estimation T Chen, NF Kirkby, R Jena Computer Methods and Programs in Biomedicine, 2012 | 130 | 2012 |
| Analysis of speaker variability C Huang, T Chen, S Li, E Chang, J Zhou Seventh European Conference on Speech Communication and Technology, 2001 | 129 | 2001 |
| Surface-functionalized TUD-1 mesoporous molecular sieve supported palladium for solvent-free aerobic oxidation of benzyl alcohol Y Chen, Z Guo, T Chen, Y Yang Journal of Catalysis 275 (1), 11-24, 2010 | 127 | 2010 |
| Bayesian linear regression and variable selection for spectroscopic calibration T Chen, E Martin Analytica Chimica Acta 631 (1), 13-21, 2009 | 121 | 2009 |
| Automatic counting methods in aquaculture: A review D Li, Z Miao, F Peng, L Wang, Y Hao, Z Wang, T Chen, H Li, Y Zheng Journal of the World Aquaculture Society 52 (2), 269-283, 2021 | 117 | 2021 |
| Probability density estimation via an infinite Gaussian mixture model: application to statistical process monitoring T Chen, J Morris, E Martin Journal of the Royal Statistical Society: Series C (Applied Statistics) 55 …, 2006 | 117 | 2006 |
| On-line multivariate statistical monitoring of batch processes using Gaussian mixture model T Chen, J Zhang Computers & Chemical Engineering 34 (4), 500-507, 2010 | 111 | 2010 |
| Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes W Li, S Gu, X Zhang, T Chen Computers & Chemical Engineering 139, 106904, 2020 | 102 | 2020 |
| Response surface methodology with prediction uncertainty: A multi-objective optimisation approach G Chi, S Hu, Y Yang, T Chen Chemical Engineering Research and Design, 2011 | 96 | 2011 |
| Gas sensor technologies and mathematical modelling for quality sensing in fruit and vegetable cold chains: A review X Wang, H Feng, T Chen, S Zhao, J Zhang, X Zhang Trends in food science & technology 110, 483-492, 2021 | 93 | 2021 |
| Quality prediction for polypropylene production process based on CLGPR model Z Ge, T Chen, Z Song Control Engineering Practice, 2011 | 93 | 2011 |
| Probabilistic contribution analysis for statistical process monitoring: A missing variable approach T Chen, Y Sun Control Engineering Practice 17 (4), 469-477, 2009 | 93 | 2009 |
Guoping LianUniversity of SurreyVerified email at surrey.ac.uk
