Adrian E. Raftery

Ka Yee Yeung, T. A. Gooley, A. Zhang, Adrian E. Raftery, J. P. Radich, V. G. Oehler: Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data. Bioinformatics 28(6): 823-830 (2012)

Amalia Annest, Roger Eugene Bumgarner, Adrian E. Raftery, Ka Yee Yeung: Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data. BMC Bioinformatics 10 (2009)

Chris Fraley, Adrian E. Raftery: Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering. J. Classification 24(2): 155-181 (2007)

Ka Yee Yeung, Roger Eugene Bumgarner, Adrian E. Raftery: Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. Bioinformatics 21(10): 2394-2402 (2005)

Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, Ka Yee Yeung, Adrian E. Raftery: Donuts, scratches and blanks: robust model-based segmentation of microarray images. Bioinformatics 21(12): 2875-2882 (2005)

Nema Dean, Adrian E. Raftery: Normal uniform mixture differential gene expression detection for cDNA microarrays. BMC Bioinformatics 6: 173 (2005)

Fionn Murtagh, Adrian E. Raftery, Jean-Luc Starck: Bayesian inference for multiband image segmentation via model-based cluster trees. Image Vision Comput. 23(6): 587-596 (2005)

Ron Wehrens, Lutgarde M. C. Buydens, Chris Fraley, Adrian E. Raftery: Model-Based Clustering for Image Segmentation and Large Datasets via Sampling. J. Classification 21(2): 231-253 (2004)

Chris Fraley, Adrian E. Raftery: Enhanced Model-Based Clustering, Density Estimation, and Discriminant Analysis Software: MCLUST. J. Classification 20(2): 263-286 (2003)

Derek C. Stanford, Adrian E. Raftery: Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC). IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1517-1520 (2002)

Daniel Walsh, Adrian E. Raftery: Accurate and efficient curve detection in images: the importance sampling Hough transform. Pattern Recognition 35(7): 1421-1431 (2002)

Ka Yee Yeung, Chris Fraley, A. Murua, Adrian E. Raftery, Walter L. Ruzzo: Model-based clustering and data transformations for gene expression data. Bioinformatics 17(10): 977-987 (2001)

Derek C. Stanford, Adrian E. Raftery: Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 601-609 (2000)

J. G. Campbell, Chris Fraley, Derek C. Stanford, Fionn Murtagh, Adrian E. Raftery: Model-based methods for textile fault detection. Int. J. Imaging Systems and Technology 10(4): 339-346 (1999)

Chris Fraley, Adrian E. Raftery: How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis. Comput. J. 41(8): 578-588 (1998)

J. G. Campbell, Chris Fraley, Fionn Murtagh, Adrian E. Raftery: Linear flaw detection in woven textiles using model-based clustering. Pattern Recognition Letters 18(14): 1539-1548 (1997)

Fionn Murtagh, Adrian E. Raftery: Fitting straight lines to point patterns. Pattern Recognition 17(5): 479-483 (1984)