| Introduction to neural networks SS Cross, RF Harrison, RL Kennedy The Lancet 346 (8982), 1075-1079, 1995 | 666 | 1995 |
| Free triiodothyronine has a distinct circadian rhythm that is delayed but parallels thyrotropin levels W Russell, RF Harrison, N Smith, K Darzy, S Shalet, AP Weetman, ... The Journal of Clinical Endocrinology & Metabolism 93 (6), 2300-2306, 2008 | 192 | 2008 |
| Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation RF Harrison, RL Kennedy Annals of emergency medicine 46 (5), 431-439, 2005 | 150 | 2005 |
| Evaluation of machine-learning methods for ligand-based virtual screening B Chen, RF Harrison, G Papadatos, P Willett, DJ Wood, XQ Lewell, ... Journal of computer-aided molecular design 21 (1), 53-62, 2007 | 143 | 2007 |
| Support vector machines for system identification PML Drezet, RF Harrison IET Digital Library, 1998 | 135 | 1998 |
| A modified fuzzy ARTMAP architecture for the approximation of noisy mappings S Marriott, RF Harrison Neural Networks 8 (4), 619-641, 1995 | 112 | 1995 |
| An incremental adaptive network for on-line supervised learning and probability estimation CP Lim, RF Harrison Neural networks 10 (5), 925-939, 1997 | 111 | 1997 |
| An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin … RL Kennedy, RF Harrison, AM Burton, HS Fraser, WG Hamer, ... Computer Methods and Programs in Biomedicine 52 (2), 93-103, 1997 | 108 | 1997 |
| Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models RL Kennedy, HS Fraser, LN McStay, RF Harrison European heart journal 17 (8), 1181-1191, 1996 | 88 | 1996 |
| Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks J Downs, RF Harrison, RL Kennedy, SS Cross Artificial Intelligence in Medicine 8 (4), 403-428, 1996 | 88 | 1996 |
| Bayesian hierarchical models for aerospace gas turbine engine prognostics MA Zaidan, RF Harrison, AR Mills, PJ Fleming Expert Systems with Applications 42 (1), 539-553, 2015 | 80 | 2015 |
| Expression of receptor activator of nuclear factor κβ ligand (RANKL) and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) in breast cancer, and their relations … SS Cross, RF Harrison, SP Balasubramanian, JM Lippitt, CA Evans, ... Journal of clinical pathology 59 (7), 716-720, 2006 | 75 | 2006 |
| The early diagnosis of heart attacks: a neurocomputational approach RF Harrison, SJ Marshall, RL Kennedy IJCNN-91-Seattle International Joint Conference on Neural Networks 1, 1-5, 1991 | 74 | 1991 |
| Gas turbine engine prognostics using Bayesian hierarchical models: A variational approach MA Zaidan, AR Mills, RF Harrison, PJ Fleming Mechanical Systems and Signal Processing 70, 120-140, 2016 | 73 | 2016 |
| Salivary cortisone reflects cortisol exposure under physiological conditions and after hydrocortisone M Debono, RF Harrison, MJ Whitaker, D Eckland, W Arlt, BG Keevil, ... The Journal of Clinical Endocrinology & Metabolism 101 (4), 1469-1477, 2016 | 68 | 2016 |
| Optimization and training of feedforward neural networks by genetic algorithms SJ Marshall, RF Harrison 1991 Second International Conference on Artificial Neural Networks, 39-43, 1991 | 67 | 1991 |
| Application of autonomous neural network systems to medical pattern classification tasks CP Lim, RF Harrison, RL Kennedy Artificial intelligence in medicine 11 (3), 215-239, 1997 | 63 | 1997 |
| Recognition of ultra high frequency partial discharge signals using multi-scale features J Li, T Jiang, RF Harrison, S Grzybowski IEEE Transactions on Dielectrics and Electrical Insulation 19 (4), 1412-1420, 2012 | 53 | 2012 |
| Virtual screening using binary kernel discrimination: analysis of pesticide data DJ Wilton, RF Harrison, P Willett, J Delaney, K Lawson, G Mullier Journal of chemical information and modeling 46 (2), 471-477, 2006 | 53 | 2006 |
| Support vector neural networks: the kernel adatron with bias and soft margin TT Friess, R Harisson Univ. Sheffield, Dept. ACSE, Tech. Rep. ACSE-TR-752, 1998 | 53 | 1998 |
CP LimProfessor, Deakin UniversityVerified email at deakin.edu.au
