Stephen C. Adams
Orcid: 0000-0002-1207-4504Affiliations:
- University of Virginia, Department of Systems and Information Engineering, Charlottesville, VA, USA
According to our database1,
Stephen C. Adams
authored at least 43 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2023
Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments.
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
An ontological metamodel for cyber-physical system safety, security, and resilience coengineering.
Softw. Syst. Model., 2022
IEEE Syst. J., 2022
Generative adversarial networks for data augmentation and transfer in credit card fraud detection.
J. Oper. Res. Soc., 2022
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems.
Expert Syst. Appl., 2022
CoRR, 2022
Identifying Correlates of Emergent Behaviors in Agent-Based Simulation Models Using Inverse Reinforcement Learning.
Proceedings of the Winter Simulation Conference, 2022
On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022
2021
Computer, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication.
CoRR, 2020
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020
Proceedings of the Spring Simulation Conference, 2020
Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020
2019
Syst., 2019
J. Artif. Intell. Res., 2019
A survey of feature selection methods for Gaussian mixture models and hidden Markov models.
Artif. Intell. Rev., 2019
Proceedings of the 2019 IEEE International Systems Conference, 2019
Proceedings of the Intelligent Systems and Applications, 2019
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Author Correction to: Dynamic Scheduling for Veterans Health Administration Patients Using Geospatial Dynamic Overbooking.
J. Medical Syst., 2018
J. Intell. Manuf., 2018
CoRR, 2018
IEEE Access, 2018
Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection.
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the 17th IEEE International Conference On Trust, 2018
Proceedings of the International Workshop on Cost-Sensitive Learning, 2018
One-Class Support Vector Machines for Structural Health Monitoring on Wave Energy Converters.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018
2017
Dynamic Scheduling for Veterans Health Administration Patients using Geospatial Dynamic Overbooking.
J. Medical Syst., 2017
Proceedings of the 2017 Annual IEEE International Systems Conference, 2017
Health-aware hierarchical control for smart manufacturing using reinforcement learning.
Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
IEEE Access, 2016