| A survey of inverse reinforcement learning S Adams, T Cody, PA Beling Artificial Intelligence Review 55 (6), 4307-4346, 2022 | 120 | 2022 |
| A systems theory of transfer learning T Cody, PA Beling IEEE Systems Journal 17 (1), 26-37, 2023 | 41 | 2023 |
| Using cyber terrain in reinforcement learning for penetration testing R Gangupantulu, T Cody, P Park, A Rahman, L Eisenbeiser, D Radke, ... 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS …, 2022 | 40 | 2022 |
| 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 |
| A systems theoretic perspective on transfer learning T Cody, S Adams, PA Beling 2019 IEEE International Systems Conference (SysCon), 1-7, 2019 | 26 | 2019 |
| Discovering exfiltration paths using reinforcement learning with attack graphs T Cody, A Rahman, C Redino, L Huang, R Clark, A Kakkar, D Kushwaha, ... 2022 IEEE Conference on Dependable and Secure Computing (DSC), 1-8, 2022 | 25 | 2022 |
| Systematic training and testing for machine learning using combinatorial interaction testing T Cody, E Lanus, DD Doyle, L Freeman 2022 IEEE International Conference on Software Testing, Verification and …, 2022 | 25 | 2022 |
| A layered reference model for penetration testing with reinforcement learning and attack graphs T Cody 2022 IEEE 29th Annual Software Technology Conference (STC), 41-50, 2022 | 22 | 2022 |
| Crown jewels analysis using reinforcement learning with attack graphs R Gangupantulu, T Cody, A Rahma, C Redino, R Clark, P Park 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2021 | 21 | 2021 |
| A utilitarian approach to adversarial learning in credit card fraud detection T Cody, S Adams, PA Beling 2018 Systems and Information Engineering Design Symposium (SIEDS), 237-242, 2018 | 21 | 2018 |
| Mesarovician abstract learning systems T Cody Artificial General Intelligence: 14th International Conference, AGI 2021 …, 2022 | 18 | 2022 |
| Empirically measuring transfer distance for system design and operation T Cody, S Adams, PA Beling IEEE Systems Journal 16 (3), 4962-4973, 2022 | 15 | 2022 |
| Closed systems paradigm for intelligent systems N Shadab, T Cody, A Salado, P Beling 2022 IEEE International Systems Conference (SysCon), 1-8, 2022 | 13 | 2022 |
| Motivating a systems theory of AI T Cody, S Adams, P Beling Insight 23 (1), 37-40, 2020 | 13 | 2020 |
| Towards continuous cyber testing with reinforcement learning for whole campaign emulation T Cody, P Beling, L Freeman 2022 IEEE AUTOTESTCON, 1-5, 2022 | 11 | 2022 |
| EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs H Wang, Y Mao, Y Yan, Y Yang, J Sun, K Choi, B Veeramani, A Hu, ... arXiv preprint arXiv:2305.00664, 2023 | 10* | 2023 |
| Exposing surveillance detection routes via reinforcement learning, attack graphs, and cyber terrain L Huang, T Cody, C Redino, A Rahman, A Kakkar, D Kushwaha, C Wang, ... 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 10 | 2022 |
| Test & evaluation best practices for machine learning-enabled systems J Chandrasekaran, T Cody, N McCarthy, E Lanus, L Freeman arXiv preprint arXiv:2310.06800, 2023 | 9 | 2023 |
| Transferring random samples in actuator systems for binary damage detection T Cody, S Adams, PA Beling, S Polter, K Farinholt, N Hipwell, A Chaudhry, ... 2019 IEEE International Conference on Prognostics and Health Management …, 2019 | 9 | 2019 |
| Homomorphisms between transfer, multi-task, and meta-learning systems T Cody International Conference on Artificial General Intelligence, 199-208, 2022 | 8 | 2022 |
Peter A BelingProfessor & Director, Intelligent Systems Division, Virginia Tech National Security InstituteVerified email at vt.edu