Peter A Beling
Peter A Beling
Professor, Hume Center and Grado Department of Industrial and Systems Engineering, Virginia Tech
Verified email at vt.edu
Title
Cited by
Cited by
Year
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
1142018
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
982012
Dynamic models for floodplain management
JR Olsen, PA Beling, JH Lambert
Journal of Water Resources Planning and Management 126 (3), 167-175, 2000
772000
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
622012
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
592017
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
502014
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
50*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
472017
Simulating kinect infrared and depth images
MJ Landau, BY Choo, PA Beling
IEEE Transactions on Cybernetics 46 (12), 3018-3031, 2016
472016
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
X Lin, PA Beling, R Cogill
IEEE Transactions Games, 2017
44*2017
Feature selection for hidden Markov models and hidden semi-Markov models
S Adams, PA Beling, R Cogill
IEEE Access 4, 1642-1657, 2016
402016
A dynamic theory of the credit union
GM Rubin, GA Overstreet, P Beling, K Rajaratnam
Annals of Operations Research 205 (1), 29-53, 2013
392013
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
392012
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
392002
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
392001
Using fast matrix multiplication to find basic solutions
PA Beling, N Megiddo
Theoretical Computer Science 205 (1-2), 307-316, 1998
371998
Inverse reinforcement learning with Gaussian process
Q Qiao, PA Beling
Proceedings of the 2011 American control conference, 113-118, 2011
33*2011
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
332003
Gaussian process-based algorithmic trading strategy identification
SY Yang, Q Qiao, PA Beling, WT Scherer, AA Kirilenko
Quantitative Finance 15 (10), 1683-1703, 2015
302015
A survey of feature selection methods for Gaussian mixture models and hidden Markov models
S Adams, PA Beling
Artificial Intelligence Review 52 (3), 1739-1779, 2019
282019
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