| Application of protection motivation theory to adoption of protective technologies T Chenoweth, R Minch, T Gattiker 2009 42nd Hawaii International Conference on System Sciences, 1-10, 2009 | 197 | 2009 |
| Seven key interventions for data warehouse success T Chenoweth, K Corral, H Demirkan Communications of the ACM 49 (1), 114-119, 2006 | 133 | 2006 |
| A multi-component nonlinear prediction system for the S&P 500 index T Chenoweth, Z Obradović Neurocomputing 10 (3), 275-290, 1996 | 80 | 1996 |
| Embedding technical analysis into neural network based trading systems T Chenoweth, Z ObradoviĆ, SS Lee Artificial Intelligence Applications on Wall Street, 523-541, 2017 | 76 | 2017 |
| Convincing DSS users that complex models are worth the effort T Chenoweth, KL Dowling, RDS Louis Decision Support Systems 37 (1), 71-82, 2004 | 70 | 2004 |
| A method for developing dimensional data marts T Chenoweth, D Schuff, R St. Louis Communications of the ACM 46 (12), 93-98, 2003 | 47 | 2003 |
| Adaptive and maladaptive coping with an it threat T Chenoweth, T Gattiker, K Corral Information Systems Management 36 (1), 24-39, 2019 | 29 | 2019 |
| Automatic ARMA identification using neural networks and the extended sample autocorrelation function: a reevaluation T Chenoweth, R Hubata, RDS Louis Decision Support Systems 29 (1), 21-30, 2000 | 29 | 2000 |
| Wireless insecurity: examining user security behavior on public networks T Chenoweth, R Minch, S Tabor Communications of the ACM 53 (2), 134-138, 2010 | 27 | 2010 |
| Expanding views of technology acceptance: seeking factors explaining security control adoption T Chenoweth, R Minch, S Tabor AMCIS 2007 Proceedings, 321, 2007 | 18 | 2007 |
| Technical trading rules as a prior knowledge to a neural networks prediction system for the S&P 500 index T Chenowethl, Z Obradovic, S Lee IEEE Technical Applications Conference and Workshops. Northcon/95 …, 1995 | 18 | 1995 |
| An explicit feature selection strategy for predictive models of the S&P 500 index T Chenoweth, Z Obradovic NeuroVe $ t Journal 3 (6), 14-21, 1995 | 11 | 1995 |
| Distance and prediction error variance constraints for ARMA model portfolios T Chenoweth, K Dowling, R Hubata, R St. Louis International Journal of Forecasting 20 (1), 41-52, 2004 | 9 | 2004 |
| A multi-component approach to stock market predictions T Chenoweth, Z Obradovic Proc. Third Int. Conf. on Artificial Intelligence Applications on Wall …, 1995 | 8 | 1995 |
| Should college instructors reveal their high functioning autism in the classroom? G Kaupins, T Chenoweth, F Klein Journal of Education for Business 95 (8), 534-540, 2020 | 7 | 2020 |
| Automated Feedback as a Convergence Tool T Chenoweth, K Corral, K Scott Journal of Information Systems Education 27 (1), 7-16, 2016 | 5 | 2016 |
| User security behavior on wireless networks: An empirical study T Chenoweth, R Minch, S Tabor 2007 40th Annual Hawaii International Conference on System Sciences (HICSS …, 2007 | 4 | 2007 |
| Selection of Learning Algorithms for Trading Systems Based on Biased Estimators," Z Obradovic, T Chenoweth Proceedings of the Conference on Adaptive Dis tributed Parallel Computing, 1996 | 3 | 1996 |
| The power of tests for equivalent ARMA models: The implications for practitioners T Chenoweth, R Hubata, RDS Louis Empirical Economics 29, 281-292, 2004 | 2 | 2004 |
| Applying Adaptive Structuration Theory to Data warehouse Implementation: A Field Study T Edgington, T Chenoweth AMCIS 2002 Proceedings, 3, 2002 | 2 | 2002 |
Zoran ObradovicData Analytics and Biomedical Informatics Center, Temple UniversityVerified email at temple.edu
