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Randall Sexton
Randall Sexton
Professor of CIS, Missouri State University
Verified email at missouristate.edu
Title
Cited by
Cited by
Year
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
3341998
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
3171999
Comparing backpropagation with a genetic algorithm for neural network training
JND Gupta, RS Sexton
Omega 27 (6), 679-684, 1999
3041999
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
2021998
Comparative evaluation of genetic algorithm and backpropagation for training neural networks
RS Sexton, JND Gupta
Information sciences 129 (1-4), 45-59, 2000
1882000
Predicting Internet/e‐commerce use
RS Sexton, RA Johnson, MA Hignite
Internet research, 2002
1572002
Reliable classification using neural networks: a genetic algorithm and backpropagation comparison
RS Sexton, RE Dorsey
Decision Support Systems 30 (1), 11-22, 2000
1442000
Employee turnover: a neural network solution
RS Sexton, S McMurtrey, JO Michalopoulos, AM Smith
Computers & Operations Research 32 (10), 2635-2651, 2005
1202005
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
1072007
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
892007
Simultaneous optimization of neural network function and architecture algorithm
RS Sexton, RE Dorsey, NA Sikander
Decision Support Systems 36 (3), 283-296, 2004
712004
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
682003
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
461999
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
422006
Selecting scheduling heuristics using neural networks
JND Gupta, RS Sexton, EA Tunc
INFORMS Journal on Computing 12 (2), 150-162, 2000
422000
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
351998
Neonatal Facial Pain Detection Using NNSOA and LSVM.
S Brahnam, L Nanni, RS Sexton
IPCV, 352-357, 2008
342008
Data mining using a genetic algorithm‐trained neural network
RS Sexton, NA Sikander
Intelligent Systems in Accounting, Finance & Management 10 (4), 201-210, 2001
302001
Using neural networks for identifying organizational improvement strategies
R Montagno, RS Sexton, BN Smith
European Journal of Operational Research 142 (2), 382-395, 2002
232002
Identifying irrelevant input variables in chaotic time series problems: Using the genetic algorithm for training neural networks
RS Sexton
Work 765, 285-5320, 1998
161998
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