| Toward global optimization of neural networks: a comparison of the genetic algorithm and backpropagation RS Sexton, RE Dorsey, JD Johnson Decision Support Systems 22 (2), 171-185, 1998 | 355 | 1998 |
| Comparing backpropagation with a genetic algorithm for neural network training JND Gupta, RS Sexton Omega 27 (6), 679-684, 1999 | 334 | 1999 |
| Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing RS Sexton, RE Dorsey, JD Johnson European Journal of Operational Research 114 (3), 589-601, 1999 | 329 | 1999 |
| Global optimization for artificial neural networks: A tabu search application RS Sexton, B Alidaee, RE Dorsey, JD Johnson European Journal of Operational Research 106 (2-3), 570-584, 1998 | 206 | 1998 |
| Comparative evaluation of genetic algorithm and backpropagation for training neural networks RS Sexton, JND Gupta Information sciences 129 (1-4), 45-59, 2000 | 205 | 2000 |
| Predicting Internet/e‐commerce use RS Sexton, RA Johnson, MA Hignite Internet research 12 (5), 402-410, 2002 | 169 | 2002 |
| Reliable classification using neural networks: a genetic algorithm and backpropagation comparison RS Sexton, RE Dorsey Decision Support Systems 30 (1), 11-22, 2000 | 149 | 2000 |
| Employee turnover: a neural network solution RS Sexton, S McMurtrey, JO Michalopoulos, AM Smith Computers & Operations Research 32 (10), 2635-2651, 2005 | 148 | 2005 |
| Machine assessment of neonatal facial expressions of acute pain S Brahnam, CF Chuang, RS Sexton, FY Shih Decision Support Systems 43 (4), 1242-1254, 2007 | 127 | 2007 |
| Introduction to neonatal facial pain detection using common and advanced face classification techniques S Brahnam, L Nanni, R Sexton Advanced Computational Intelligence Paradigms in Healthcare–1, 225-253, 2007 | 103 | 2007 |
| Improving decision effectiveness of artificial neural networks: a modified genetic algorithm approach RS Sexton, RS Sriram, H Etheridge Decision Sciences 34 (3), 421-442, 2003 | 75 | 2003 |
| Simultaneous optimization of neural network function and architecture algorithm RS Sexton, RE Dorsey, NA Sikander Decision Support Systems 36 (3), 283-296, 2004 | 74 | 2004 |
| Beyond backpropagation: using simulated annealing for training neural networks RS Sexton, RE Dorsey, JD Johnson Journal of Organizational and End User Computing (JOEUC) 11 (3), 3-10, 1999 | 53 | 1999 |
| Selecting scheduling heuristics using neural networks JND Gupta, RS Sexton, EA Tunc INFORMS Journal on Computing 12 (2), 150-162, 2000 | 44 | 2000 |
| Knowledge discovery using a neural network simultaneous optimization algorithm on a real world classification problem RS Sexton, S McMurtrey, D Cleavenger European Journal of Operational Research 168 (3), 1009-1018, 2006 | 42 | 2006 |
| Neonatal Facial Pain Detection Using NNSOA and LSVM. S Brahnam, L Nanni, RS Sexton IPCV, 352-357, 2008 | 36 | 2008 |
| The use of parsimonious neural networks for forecasting financial time series R Dorsey, R Sexton Journal of Computational Intelligence in Finance 6 (1), 24-31, 1998 | 36 | 1998 |
| Data mining using a genetic algorithm‐trained neural network RS Sexton, NA Sikander Intelligent Systems in Accounting, Finance & Management 10 (4), 201-210, 2001 | 29 | 2001 |
| Using neural networks for identifying organizational improvement strategies R Montagno, RS Sexton, BN Smith European Journal of Operational Research 142 (2), 382-395, 2002 | 25 | 2002 |
| Identifying irrelevant input variables in chaotic time series problems: Using the genetic algorithm for training neural networks RS Sexton Work 765, 285-5320, 1998 | 16 | 1998 |
