| A real-time ergonomic monitoring system using the Microsoft Kinect CC Martin, DC Burkert, KR Choi, NB Wieczorek, PM McGregor, ... 2012 IEEE Systems and Information Engineering Design Symposium, 50-55, 2012 | 90 | 2012 |
| Dynamic models for floodplain management JR Olsen, PA Beling, JH Lambert Journal of Water Resources Planning and Management 126 (3), 167-175, 2000 | 74 | 2000 |
| Deep learning detecting fraud in credit card transactions A Roy, J Sun, R Mahoney, L Alonzi, S Adams, P Beling 2018 Systems and Information Engineering Design Symposium (SIEDS), 129-134, 2018 | 67 | 2018 |
| An agent based model of the E-Mini S&P 500 applied to Flash Crash analysis M Paddrik, R Hayes, A Todd, S Yang, P Beling, W Scherer 2012 IEEE Conference on Computational Intelligence for Financial Engineering …, 2012 | 55 | 2012 |
| Input-output economic evaluation of system of levees JR Olsen, PA Beling, JH Lambert, YY Haimes Journal of water resources planning and management 124 (5), 237-245, 1998 | 48* | 1998 |
| Statistical analysis-based error models for the microsoft kinecttm depth sensor B Choo, M Landau, M DeVore, PA Beling Sensors 14 (9), 17430-17450, 2014 | 47 | 2014 |
| A study in the combination of two consumer credit scores H Zhu, PA Beling, GA Overstreet Journal of the Operational Research Society 52 (9), 974-980, 2001 | 40 | 2001 |
| Simulating kinect infrared and depth images MJ Landau, BY Choo, PA Beling IEEE Transactions on Cybernetics 46 (12), 3018-3031, 2016 | 39 | 2016 |
| Horse race analysis in credit card fraud—deep learning, logistic regression, and Gradient Boosted Tree G Rushin, C Stancil, M Sun, S Adams, P Beling 2017 systems and information engineering design symposium (SIEDS), 117-121, 2017 | 38 | 2017 |
| Using fast matrix multiplication to find basic solutions PA Beling, N Megiddo Theoretical Computer Science 205 (1-2), 307-316, 1998 | 37 | 1998 |
| Adversarial learning in credit card fraud detection MF Zeager, A Sridhar, N Fogal, S Adams, DE Brown, PA Beling 2017 Systems and Information Engineering Design Symposium (SIEDS), 112-116, 2017 | 36 | 2017 |
| Behavior based learning in identifying high frequency trading strategies S Yang, M Paddrik, R Hayes, A Todd, A Kirilenko, P Beling, W Scherer 2012 IEEE Conference on Computational Intelligence for Financial Engineering …, 2012 | 36 | 2012 |
| A dynamic theory of the credit union GM Rubin, GA Overstreet, P Beling, K Rajaratnam Annals of Operations Research 205 (1), 29-53, 2013 | 35 | 2013 |
| A Bayesian framework for the combination of classifier outputs H Zhu, PA Beling, GA Overstreet Journal of the Operational Research Society 53 (7), 719-727, 2002 | 35 | 2002 |
| Investigation of forward citation count as a patent analysis method MW Brinn, JM Fleming, FM Hannaka, CB Thomas, PA Beling IEEE Systems and Information Engineering Design Symposium, 2003, 1-6, 2003 | 32 | 2003 |
| Feature selection for hidden Markov models and hidden semi-Markov models S Adams, PA Beling, R Cogill IEEE Access 4, 1642-1657, 2016 | 31 | 2016 |
| Inverse reinforcement learning with Gaussian process Q Qiao, PA Beling Proceedings of the 2011 American control conference, 113-118, 2011 | 31* | 2011 |
| Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games X Lin, PA Beling, R Cogill IEEE Transactions Games, 2017 | 30* | 2017 |
| Decentralized Bayesian search using approximate dynamic programming methods Y Zhao, SD Patek, PA Beling IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 28 | 2008 |
| Optimal scoring cutoff policies and efficient frontiers P Beling, Z Covaliu, RM Oliver Journal of the Operational Research Society 56 (9), 1016-1029, 2005 | 26 | 2005 |
Stephen AdamsPrincipal Scientist, University of VirginiaVerified email at virginia.edu
