Stephen C. Adams

Orcid: 0000-0002-1207-4504

Affiliations:
  • 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.

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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

Empirically Measuring Transfer Distance for System Design and Operation.
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

BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations.
CoRR, 2022

A survey of inverse reinforcement learning.
Artif. Intell. Rev., 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
Cyberphysical Security Through Resiliency: A Systems-Centric Approach.
Computer, 2021

Inverse Reinforcement Learning for Strategy Identification.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Pareto-Optimal Active Learning with Cost.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Trade-offs in Metric Learning for Bearing Fault Diagnosis.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Value-Decomposition Multi-Agent Actor-Critics.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Cyber-Physical Security Through Resiliency: A Systems-centric Approach.
CoRR, 2020

Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication.
CoRR, 2020

An Ensemble Trust Scoring Method for Internet of Things Sensor Networks.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Reinforcement Learning from Simulated Environments: An Encoder Decoder Framework.
Proceedings of the Spring Simulation Conference, 2020

Smart Stormwater Control Systems: A Reinforcement Learning Approach.
Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Hierarchical Classification for Unknown Faults.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

2019
A Preliminary Design-Phase Security Methodology for Cyber-Physical Systems.
Syst., 2019

Research Advances with Systems Engineering in Context.
Syst. Eng., 2019

Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games.
J. Artif. Intell. Res., 2019

A survey of feature selection methods for Gaussian mixture models and hidden Markov models.
Artif. Intell. Rev., 2019

A Systems Theoretic Perspective on Transfer Learning.
Proceedings of the 2019 IEEE International Systems Conference, 2019

Feature Selection for Hidden Markov Models with Discrete Features.
Proceedings of the Intelligent Systems and Applications, 2019

Transferring Random Samples in Actuator Systems for Binary Damage Detection.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Active Learning to Improve Static Analysis.
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

Task recognition from joint tracking data in an operational manufacturing cell.
J. Intell. Manuf., 2018

Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games.
CoRR, 2018

On the Practical Art of State Definitions for Markov Decision Process Construction.
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

Selecting System Specific Cybersecurity Attack Patterns Using Topic Modeling.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Model-Based Trust Assessment for Internet of Things Networks.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Cost-sensitive Classifier Selection when there is Additional Cost Information.
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

A Condition Monitoring System for Low Vacuum Plasma Spray using Computer Vision.
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

Systems thinking and predictive analytics to improve veteran healthcare scheduling.
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

An Empirical Evaluation of Techniques for Feature Selection with Cost.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models.
IEEE Access, 2016


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