Andrew P. Bradley

Andrew P. Bradley: ROC curve equivalence using the Kolmogorov-Smirnov test. Pattern Recognition Letters 34(5): 470-475 (2013)

Steven D. Brossi, Andrew P. Bradley: A Comparison of Multiple Instance and Group Based Learning. DICTA 2012: 1-8

Kian B. Ng, Ross Cunnington, Andrew P. Bradley: Enhancing the classification accuracy of Steady-State Visual Evoked Potential-based Brain-Computer Interface using Component Synchrony Measure. IJCNN 2012: 1-6

Doreen Altinay, Andrew P. Bradley: An Evaluation of Multi-resolution Microscope Slide Scanning Algorithms. DICTA 2011: 319-324

Andrew P. Bradley, Paul T. Jackway (Eds.): 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Noosa, QLD, Australia, December 6-8, 2011. IEEE 2011, isbn 978-1-4577-2006-2

Nahla H. Barakat, Andrew P. Bradley: Rule extraction from support vector machines: A review. Neurocomputing 74(1-3): 178-190 (2010)

Noor Azah Samsudin, Andrew P. Bradley: Nearest neighbour group-based classification. Pattern Recognition 43(10): 3458-3467 (2010)

Nahla H. Barakat, Andrew P. Bradley, Mohamed Nabil H. Barakat: Intelligible support vector machines for diagnosis of diabetes mellitus. IEEE Transactions on Information Technology in Biomedicine 14(4): 1114-1120 (2010)

Yaniv Gal, Andrew Mehnert, Andrew P. Bradley, Kerry McMahon, Dominic Kennedy, Stuart Crozier: Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means. IEEE Trans. Med. Imaging 29(2): 302-310 (2010)

Doreen Altinay, Andrew P. Bradley, Andrew Mehnert: On the Estimation of Extrinsic and Intrinsic Parameters of Optical Microscope Calibration. DICTA 2010: 190-195

Yaniv Gal, Andrew Mehnert, Andrew P. Bradley, Dominic Kennedy, Stuart Crozier: Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast. DICTA 2009: 132-139

Nahla H. Barakat, Andrew P. Bradley: The Effect of Domain Knowledge on Rule Extraction from Support Vector Machines. MLDM 2009: 311-321

Noor Azah Samsudin, Andrew P. Bradley: Group-based meta-classification. ICPR 2008: 1-4

Stefan Lehmann, Andrew P. Bradley, I. Vaughan L. Clarkson, John Williams, Peter J. Kootsookos: Correspondence-Free Determination of the Affine Fundamental Matrix. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 82-97 (2007)

Nahla H. Barakat, Andrew P. Bradley: Rule Extraction from Support Vector Machines: A Sequential Covering Approach. IEEE Trans. Knowl. Data Eng. 19(6): 729-741 (2007)

Yaniv Gal, Andrew Mehnert, Andrew P. Bradley, Kerry McMahon, Stuart Crozier: Automatic Segmentation of Enhancing Breast Tissue in Dynamic Contrast-Enhanced MR Images. DICTA 2007: 124-129

Jason Dowling, Birgit M. Planitz, Anthony J. Maeder, Jiang Du, Binh Pham, Colin Boyd, Shaokang Chen, Andrew P. Bradley, Stuart Crozier: A Comparison of DCT and DWT Block Based Watermarking on Medical Image Quality. IWDW 2007: 454-466

Nahla H. Barakat, Andrew P. Bradley: Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve. ICPR (2) 2006: 812-815

Andrew P. Bradley, Michael Wildermoth, Paul Mills: Virtual Microscopy with Extended Depth of Field. DICTA 2005: 35

Ben Appleton, Andrew P. Bradley, Michael Wildermoth: Towards Optimal Image Stitching for Virtual Microscopy. DICTA 2005: 44

Andrew P. Bradley, I. Dennis Longstaff: Sample Size Estimation using the Receiver Operating Characteristic Curve. ICPR (4) 2004: 428-431

Andrew P. Bradley, Fred Stentiford: Visual attention for region of interest coding in JPEG 2000. J. Visual Communication and Image Representation 14(3): 232-250 (2003)

Andrew P. Bradley: Shift-invariance in the Discrete Wavelet Transform. DICTA 2003: 29-38

Andrew P. Bradley: A wavelet visible difference predictor. IEEE Transactions on Image Processing 8(5): 717-730 (1999)

Michael P. Eckert, Andrew P. Bradley: Perceptual quality metrics applied to still image compression. Signal Processing 70(3): 177-200 (1998)

Andrew P. Bradley: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30(7): 1145-1159 (1997)

Brian C. Lovell, Andrew P. Bradley: The Multiscale Classifier. IEEE Trans. Pattern Anal. Mach. Intell. 18(2): 124-137 (1996)

Andrew P. Bradley: ROC curves and the X² test. Pattern Recognition Letters 17(3): 287-294 (1996)