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Peter A Beling
Peter A Beling
Professor & Director, Intelligent Systems Division, Virginia Tech National Security Institute
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
2942018
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
1152012
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
1042017
Value-decomposition multi-agent actor-critics
J Su, S Adams, P Beling
Proceedings of the AAAI conference on artificial intelligence 35 (13), 11352 …, 2021
962021
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
932012
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
X Lin, PA Beling, R Cogill
IEEE Transactions Games, 2017
86*2017
Dynamic models for floodplain management
JR Olsen, PA Beling, JH Lambert
Journal of Water Resources Planning and Management 126 (3), 167-175, 2000
812000
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
732017
Simulating kinect infrared and depth images
MJ Landau, BY Choo, PA Beling
IEEE Transactions on Cybernetics 46 (12), 3018-3031, 2016
722016
A survey of inverse reinforcement learning
S Adams, T Cody, PA Beling
Artificial Intelligence Review 55 (6), 4307-4346, 2022
622022
Feature selection for hidden Markov models and hidden semi-Markov models
S Adams, PA Beling, R Cogill
IEEE Access 4, 1642-1657, 2016
602016
Statistical Analysis-Based Error Models for the Microsoft Kinect Depth Sensor
B Choo, M Landau, M DeVore, PA Beling
Sensors 14 (9), 17430-17450, 2014
592014
A dynamic theory of the credit union
GM Rubin, GA Overstreet, P Beling, K Rajaratnam
Annals of Operations Research 205, 29-53, 2013
562013
A survey of feature selection methods for Gaussian mixture models and hidden Markov models
S Adams, PA Beling
Artificial Intelligence Review 52, 1739-1779, 2019
552019
Gaussian process-based algorithmic trading strategy identification
SY Yang, Q Qiao, PA Beling, WT Scherer, AA Kirilenko
Quantitative Finance 15 (10), 1683-1703, 2015
522015
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
522012
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems
J Su, J Huang, S Adams, Q Chang, PA Beling
Expert Systems with Applications 192, 116323, 2022
512022
Modeling law search as prediction
F Dadgostari, M Guim, PA Beling, MA Livermore, DN Rockmore
Artificial Intelligence and Law 29, 3-34, 2021
51*2021
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
Multi-agent inverse reinforcement learning for certain general-sum stochastic games
X Lin, SC Adams, PA Beling
Journal of Artificial Intelligence Research 66, 473-502, 2019
48*2019
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