Trevor C. Bailey
According to our database1,
Trevor C. Bailey
authored at least 19 papers
between 2004 and 2018.
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Bibliography
2018
A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour.
Remote. Sens., 2018
2014
MCMC implementation for Bayesian hidden semi-Markov models with illustrative applications.
Stat. Comput., 2014
2011
Spatio-temporal modelling of climate-sensitive disease risk: Towards an early warning system for dengue in Brazil.
Comput. Geosci., 2011
2010
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems
CoRR, 2010
2007
Estimating Classification Uncertainty of Bayesian Decision TreeTechnique on Financial Data.
Proceedings of the Perception-based Data Mining and Decision Making in Economics and Finance, 2007
Confident Interpretation of Bayesian Decision Tree Ensembles for Clinical Applications.
IEEE Trans. Inf. Technol. Biomed., 2007
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases.
Neural Comput. Appl., 2007
2006
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique.
J. Math. Model. Algorithms, 2006
Proceedings of the Developments in Risk-based Approaches to Safety, 2006
Proceedings of the Developments in Risk-based Approaches to Safety, 2006
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
IEEE ACM Trans. Comput. Biol. Bioinform., 2005
Improved biclustering of microarray data demonstrated through systematic performance tests.
Comput. Stat. Data Anal., 2005
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
CoRR, 2005
2004
Two Projection Methods for Use in the Analysis of Multivariate Process Data With an Illustration in Petrochemical Production.
Technometrics, 2004
Experimental Comparison of Classification Uncertainty for Randomised and Bayesian Decision Tree Ensembles.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004