Tao Chen
Cited by
Cited by
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
Gaussian process regression for multivariate spectroscopic calibration
T Chen, J Morris, E Martin
Chemometrics and Intelligent Laboratory Systems 87 (1), 59-71, 2007
Bagging for Gaussian process regression
T Chen, J Ren
Neurocomputing 72 (7-9), 1605-1610, 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
Automatic accent identification using Gaussian mixture models
T Chen, C Huang, E Chang, J Wang
IEEE workshop on ASRU, 2001
Analysis of speaker variability
C Huang, T Chen, S Li, E Chang, J Zhou
Seventh European Conference on Speech Communication and Technology, 2001
Accent issues in large vocabulary continuous speech recognition
C Huang, T Chen, E Chang
International Journal of Speech Technology 7 (2), 141-153, 2004
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
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
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model
T Chen, J Zhang
Computers & Chemical Engineering 34 (4), 500-507, 2010
Bayesian linear regression and variable selection for spectroscopic calibration
T Chen, E Martin
Analytica Chimica Acta 631 (1), 13-21, 2009
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
Gaussian process regression with multiple response variables
B Wang, T Chen
Chemometrics and Intelligent Laboratory Systems 142, 159-165, 2015
Probabilistic contribution analysis for statistical process monitoring: A missing variable approach
T Chen, Y Sun
Control Engineering Practice 17 (4), 469-477, 2009
Auto-switch Gaussian process regression-based probabilistic soft sensors for industrial multigrade processes with transitions
Y Liu, T Chen, J Chen
Industrial & Engineering Chemistry Research 54 (18), 5037-5047, 2015
Quality prediction for polypropylene production process based on CLGPR model
Z Ge, T Chen, Z Song
Control Engineering Practice, 2011
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
A branch and bound method for isolation of faulty variables through missing variable analysis
V Kariwala, PE Odiowei, Y Cao, T Chen
Journal of Process Control 20 (10), 1198-1206, 2010
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
Response surface methodology using Gaussian processes: towards optimizing the trans-stilbene epoxidation over Co2+-NaX catalysts
Q Tang, YB Lau, S Hu, W Yan, Y Yang, T Chen
Chemical Engineering Journal 156 (2), 423-431, 2010
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