Robert F. Harrison

Yunfei Ding, Robert F. Harrison: A sparse multinomial probit model for classification. Pattern Anal. Appl. 14(1): 47-55 (2011)

Yonghui Fang, Minyou Chen, Robert F. Harrison, Yonghui Fang: A multi-class pattern recognition method for motor imagery EEG data. SMC 2011: 7-12

Robert F. Harrison, Kitsuchart Pasupa: A simple iterative algorithm for parsimonious binary kernel Fisher discrimination. Pattern Anal. Appl. 13(1): 15-22 (2010)

Jing Deng, Kang Li, George W. Irwin, Robert F. Harrison: A fast automatic construction algorithm for kernel fisher discriminant classifiers. CDC 2010: 2825-2830

Paul C. Wilson, George W. Irwin, John V. Lamont, Robert F. Harrison: Probabilistic classification of acute myocardial infarction from multiple cardiac markers. Pattern Anal. Appl. 12(4): 321-333 (2009)

Robert F. Harrison, Kitsuchart Pasupa: Sparse multinomial kernel discriminant analysis (sMKDA). Pattern Recognition 42(9): 1795-1802 (2009)

Robert F. Harrison, R. Lee Kennedy: Automatic covariate selection in logistic models for chest pain diagnosis: A new approach. Computer Methods and Programs in Biomedicine 89(3): 301-312 (2008)

Yunfei Ding, Robert F. Harrison: Relational visual cluster validity (RVCV). Pattern Recognition Letters 28(15): 2071-2079 (2007)

Kitsuchart Pasupa, Robert F. Harrison, Peter Willett: Parsimonious Kernel Fisher Discrimination. IbPRIA (1) 2007: 531-538

Robert F. Harrison: Theory of Neural Information Processing Systems by A. Coolen, R. Kühn and P. Sollich: OUP, Oxford, 2005. IMA J. Math. Control & Information 23(4): 515-516 (2006)

Simon Hodgson, Robert F. Harrison, Simon S. Cross: An automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies. Image Vision Comput. 24(9): 1025-1038 (2006)

David J. Wilton, Robert F. Harrison, Peter Willett, John Delaney, Kevin Lawson, Graham Mullier: Virtual Screening Using Binary Kernel Discrimination: Analysis of Pesticide Data. Journal of Chemical Information and Modeling 46(2): 471-477 (2006)

Beining Chen, Robert F. Harrison, Kitsuchart Pasupa, Peter Willett, David J. Wilton, David J. Wood, Xiao Qing Lewell: Virtual Screening Using Binary Kernel Discrimination: Effect of Noisy Training Data and the Optimization of Performance. Journal of Chemical Information and Modeling 46(2): 478-486 (2006)

Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison: Application of fuzzy ARTMAP and fuzzy c-means clustering to pattern classification with incomplete data. Neural Computing and Applications 14(2): 104-113 (2005)

Kok Yeng Chen, Chee Peng Lim, Robert F. Harrison: Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks. WSC 2004: 373-387

Mei Ming Kuan, Chee Peng Lim, Robert F. Harrison: On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study. International Journal of Computational Intelligence and Applications 3(1): 23-43 (2003)

Ben Mitchinson, Robert F. Harrison: Adaptive kernel-based equalization for non-stationary digital communications channels. Int. J. Systems Science 34(12-13): 693-703 (2003)

Chee Peng Lim, Robert F. Harrison: Online pattern classification with multiple neural network systems: an experimental study. IEEE Transactions on Systems, Man, and Cybernetics, Part C 33(2): 235-247 (2003)

Chee Peng Lim, Mei Ming Kuan, Robert F. Harrison: An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data. KES 2003: 7-15

Robert F. Harrison: Editorial: IJSS special issue on 'Support Vector and Kernel Methods'. Int. J. Systems Science 33(9): 713-714 (2002)

Ben Mitchinson, Robert F. Harrison: Digital communications channel equalization using the Kernel Adaline. IEEE Transactions on Communications 50(4): 571-576 (2002)

Pierre M. L. Drezet, Robert F. Harrison: A new method for sparsity control in support vector classification and regression. Pattern Recognition 34(1): 111-125 (2001)

Shaun Marriott, Robert F. Harrison: A novel algorithmic approach to the integration of posterior knowledge into condition-monitoring systems. Int. J. Systems Science 31(9): 1157-1174 (2000)

Thilo-Thomas Frieß, Robert F. Harrison: A kernel-based Adaline for function approximation. Intell. Data Anal. 3(4): 307-313 (1999)

Pierre M. L. Drezet, Robert F. Harrison: An efficient formulation of sparsity controlled support vector regression. ESANN 1999: 207-212

Thilo-Thomas Frieß, Robert F. Harrison: A kernel based adaline. ESANN 1999: 245-250

Chee Peng Lim, Phaik Yean Goay, Poh Suan Teoh, Robert F. Harrison: Combination of decisions from a multiple neural network classifier system. KES 1999: 191-194

Chee Peng Lim, Robert F. Harrison, R. Lee Kennedy: Application of autonomous neural network systems to medical pattern classification tasks. Artificial Intelligence in Medicine 11(3): 215-239 (1997)

Chee Peng Lim, Robert F. Harrison: Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration. Neural Networks 10(4): 755-774 (1997)

Chee Peng Lim, Robert F. Harrison: An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation. Neural Networks 10(5): 925-939 (1997)

Joseph Downs, Robert F. Harrison, R. Lee Kennedy, Simon S. Cross: Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks. Artificial Intelligence in Medicine 8(4): 403-428 (1996)

Shaun Marriott, Robert F. Harrison: A modified fuzzy ARTMAP architecture for the approximation of noisy mappings. Neural Networks 8(4): 619-641 (1995)

Joseph Downs, Robert F. Harrison, Simon S. Cross: Evaluating a Neural Network Decision-Support Tool for the Diagnosis of Breast Cancer. AIME 1995: 239-250

Joseph Downs, Robert F. Harrison, R. Lee Kennedy: A Prototype Neural Network Decision-Support Tool for the Early Diagnosis of Acute Myocardial Infarction. AIME 1995: 355-366

Zhe Ma, Robert F. Harrison, R. Lee Kennedy: GR2: A Hybrid Knowledge-based System Using General Rules. IJCAI 1995: 488-493