| 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 | 370 | 2018 |
| Value-Decomposition Multi-Agent Actor-Critics J Su, S Adams, P Beling Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11352 …, 2021 | 131 | 2021 |
| A survey of inverse reinforcement learning S Adams, T Cody, PA Beling Artificial Intelligence Review 55 (6), 4307-4346, 2022 | 120 | 2022 |
| 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 | 117 | 2017 |
| 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 | 80 | 2017 |
| Feature selection for hidden Markov models and hidden semi-Markov models S Adams, PA Beling, R Cogill IEEE Access 4, 1642-1657, 2016 | 69 | 2016 |
| 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 | 67 | 2019 |
| 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 | 66 | 2022 |
| 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 | 55 | 2019 |
| An ontological metamodel for cyber-physical system safety, security, and resilience coengineering G Bakirtzis, T Sherburne, S Adams, BM Horowitz, PA Beling, CH Fleming Software and Systems Modeling 21 (1), 113-137, 2022 | 39 | 2022 |
| Deep reinforcement learning with uncertain data for real-time stormwater system control and flood mitigation SM Saliba, BD Bowes, S Adams, PA Beling, JL Goodall Water 12 (11), 3222, 2020 | 39 | 2020 |
| A preliminary design-phase security methodology for cyber–physical systems B Carter, S Adams, G Bakirtzis, T Sherburne, P Beling, B Horowitz, ... Systems 7 (2), 21, 2019 | 39 | 2019 |
| Social anxiety and dynamic social reinforcement learning in a volatile environment ML Beltzer, S Adams, PA Beling, BA Teachman Clinical Psychological Science 7 (6), 1372-1388, 2019 | 35 | 2019 |
| Selecting system specific cybersecurity attack patterns using topic modeling S Adams, B Carter, C Fleming, PA Beling 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 35 | 2018 |
| Generative adversarial networks for data augmentation and transfer in credit card fraud detection A Langevin, T Cody, S Adams, P Beling Journal of the Operational Research Society 73 (1), 153-180, 2022 | 33* | 2022 |
| Privacy preserving distributed deep learning and its application in credit card fraud detection Y Wang, S Adams, P Beling, S Greenspan, S Rajagopalan, ... 2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018 | 31 | 2018 |
| Counterfactual multi-agent reinforcement learning with graph convolution communication J Su, S Adams, PA Beling arXiv preprint arXiv:2004.00470, 2020 | 28 | 2020 |
| The WEAR methodology for prognostics and health management implementation in manufacturing S Adams, M Malinowski, G Heddy, B Choo, PA Beling Journal of Manufacturing Systems 45, 82-96, 2017 | 28 | 2017 |
| Adaptive Multiscale Prognostics and Health Management for Smart Manufacturing Systems B Choo, S Adams, J Marvel, BA Weiss, PA Beling International Journal of Prognostics and Health Management 7 (Special Issue …, 2016 | 27 | 2016 |
| A systems theoretic perspective on transfer learning T Cody, S Adams, PA Beling 2019 IEEE International Systems Conference (SysCon), 1-7, 2019 | 26 | 2019 |
Peter A BelingProfessor & Director, Intelligent Systems Division, Virginia Tech National Security InstituteVerified email at vt.edu