Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models. - Stephen C. Adams; Peter A. Beling; Randy Cogill (IEEE Access, 2016)

An Empirical Evaluation of Techniques for Feature Selection with Cost. - Stephen C. Adams; Ryan Meekins; Peter A. Beling (ICDM Workshops, 2017)

Health-aware hierarchical control for smart manufacturing using reinforcement learning. - Benjamin Y. Choo; Stephen C. Adams; Peter A. Beling (ICPHM, 2017)

Systems thinking and predictive analytics to improve veteran healthcare scheduling. - N. Peter Whitehead; Stephen C. Adams; William T. Scherer; Hyojung Kang; Matthew S. Gerber (SysCon, 2017)

Dynamic Scheduling for Veterans Health Administration Patients using Geospatial Dynamic Overbooking. - Stephen C. Adams; William T. Scherer; K. Preston White Jr.; Jason Payne; Oved Hernandez; Matthew S. Gerber; N. Peter Whitehead (J. Medical Syst., 2017)

A Condition Monitoring System for Low Vacuum Plasma Spray using Computer Vision. - Stephen C. Adams; Graham Crannell; Ann Bolcavage; Roy McIntyre; Peter A. Beling (ICPHM, 2018)

One-Class Support Vector Machines for Structural Health Monitoring on Wave Energy Converters. - Stephen C. Adams; Ryan Meekins; Kevin Farinholt; Nathan Hipwell; Michael Desrosiers; Peter A. Beling (ICPHM, 2018)

Cost-sensitive Classifier Selection when there is Additional Cost Information. - Ryan Meekins; Stephen C. Adams; Peter A. Beling; Kevin Farinholt; Nathan Hipwell; Ali Chaudhry; Sherwood Polter; Qing Dong (COST@SDM, 2018)

Model-Based Trust Assessment for Internet of Things Networks. - Stephen C. Adams; Peter A. Beling; Steven Greenspan; Maria C. Velez-Rojas; Serge Mankovski (TrustCom/BigDataSE, 2018)

Selecting System Specific Cybersecurity Attack Patterns Using Topic Modeling. - Stephen C. Adams; Bryan T. Carter; Cody H. Fleming; Peter A. Beling (TrustCom/BigDataSE, 2018)

Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection. - Yang Wang; Stephen C. Adams; Peter A. Beling; Steven Greenspan; Sridhar Rajagopalan; Maria C. Velez-Rojas; Serge Mankovski; Steven M. Boker; Donald E. Brown (TrustCom/BigDataSE, 2018)

On the Practical Art of State Definitions for Markov Decision Process Construction. - William T. Scherer; Stephen C. Adams; Peter A. Beling (IEEE Access, 2018)

Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games. - Xiaomin Lin; Stephen C. Adams; Peter A. Beling (CoRR, 2018)

Task recognition from joint tracking data in an operational manufacturing cell. - Don J. Rude; Stephen C. Adams; Peter A. Beling (J. Intell. Manuf., 2018)

Author Correction to: Dynamic Scheduling for Veterans Health Administration Patients Using Geospatial Dynamic Overbooking. - Stephen C. Adams; William T. Scherer; K. Preston White Jr.; Jason Payne; Oved Hernandez; Matthew S. Gerber; N. Peter Whitehead (J. Medical Syst., 2018)

Active Learning to Improve Static Analysis. - Maxwell Berman; Stephen C. Adams; Tim Sherburne; Cody H. Fleming; Peter A. Beling (ICMLA, 2019)

Transferring Random Samples in Actuator Systems for Binary Damage Detection. - Tyler Cody; Stephen C. Adams; Peter A. Beling; Sherwood Polter; Kevin Farinholt; Nathan Hipwell; Ali Chaudhry; Kennet Castillo; Ryan Meekins (ICPHM, 2019)

Feature Selection for Hidden Markov Models with Discrete Features. - Stephen C. Adams; Peter A. Beling (IntelliSys (1), 2019)

A Systems Theoretic Perspective on Transfer Learning. - Tyler Cody; Stephen C. Adams; Peter A. Beling (SysCon, 2019)

A survey of feature selection methods for Gaussian mixture models and hidden Markov models. - Stephen C. Adams; Peter A. Beling (Artif. Intell. Rev., 2019)

Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games. - Xiaomin Lin; Stephen C. Adams; Peter A. Beling (J. Artif. Intell. Res., 2019)

Research Advances with Systems Engineering in Context. - Stephen C. Adams; Peter A. Beling; William T. Scherer; Cody H. Fleming; James H. Lambert (Syst. Eng., 2019)

A Preliminary Design-Phase Security Methodology for Cyber-Physical Systems. - Bryan T. Carter; Stephen C. Adams; Georgios Bakirtzis; Tim Sherburne; Peter A. Beling; Barry M. Horowitz; Cody H. Fleming (Syst., 2019)

Hierarchical Classification for Unknown Faults. - Stephen C. Adams; Tyler Cody; Peter A. Beling; Sherwood Polter; Kevin Farinholt (ICPHM, 2020)

Smart Stormwater Control Systems: A Reinforcement Learning Approach. - Cheng Wang 040; Benjamin D. Bowes; Arash Tavakoli; Stephen C. Adams; Jonathan L. Goodall; Peter A. Beling (ISCRAM, 2020)

Reinforcement Learning from Simulated Environments: An Encoder Decoder Framework. - Benjamin Choo; Graham Crannell; Stephen C. Adams; Faraz Dadgostari; Peter A. Beling; Ann Bolcavage; Roy McIntyre (SpringSim, 2020)

An Ensemble Trust Scoring Method for Internet of Things Sensor Networks. - Jie Liu; Stephen C. Adams; Peter A. Beling (WF-IoT, 2020)

Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication. - Jianyu Su; Stephen C. Adams; Peter A. Beling (CoRR, 2020)

Cyber-Physical Security Through Resiliency: A Systems-centric Approach. - Cody H. Fleming; Carl R. Elks; Georgios Bakirtzis; Stephen C. Adams; Bryan T. Carter; Peter A. Beling; Barry M. Horowitz (CoRR, 2020)

Value-Decomposition Multi-Agent Actor-Critics. - Jianyu Su; Stephen C. Adams; Peter A. Beling (AAAI, 2021)

Trade-offs in Metric Learning for Bearing Fault Diagnosis. - Tyler Cody; Stephen C. Adams; Peter A. Beling (ICMLA, 2021)

Pareto-Optimal Active Learning with Cost. - Stephen C. Adams; Tyler Cody; Peter A. Beling (SMC, 2021)

Inverse Reinforcement Learning for Strategy Identification. - Mark Rucker; Stephen C. Adams; Roy Hayes; Peter A. Beling (SMC, 2021)

Cyberphysical Security Through Resiliency: A Systems-Centric Approach. - Cody H. Fleming; Carl R. Elks; Georgios Bakirtzis; Stephen C. Adams; Bryan T. Carter; Peter A. Beling; Barry M. Horowitz (Computer, 2021)

On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems. - Tyler Cody; Stephen C. Adams; Peter A. Beling; Laura J. Freeman (COINS, 2022)

Identifying Correlates of Emergent Behaviors in Agent-Based Simulation Models Using Inverse Reinforcement Learning. - Faraz Dadgostari; Samarth Swarup; Stephen C. Adams; Peter A. Beling; Henning S. Mortveit (WSC, 2022)

A survey of inverse reinforcement learning. - Stephen C. Adams; Tyler Cody; Peter A. Beling (Artif. Intell. Rev., 2022)

BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations. - Henning S. Mortveit; Stephen C. Adams; Faraz Dadgostari; Samarth Swarup; Peter A. Beling (CoRR, 2022)

Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems. - Jianyu Su; Jing Huang 025; Stephen C. Adams; Qing Chang 001; Peter A. Beling (Expert Syst. Appl., 2022)

Generative adversarial networks for data augmentation and transfer in credit card fraud detection. - Alex Langevin; Tyler Cody; Stephen C. Adams; Peter A. Beling (J. Oper. Res. Soc., 2022)

Empirically Measuring Transfer Distance for System Design and Operation. - Tyler Cody; Stephen C. Adams; Peter A. Beling (IEEE Syst. J., 2022)

An ontological metamodel for cyber-physical system safety, security, and resilience coengineering. - Georgios Bakirtzis; Tim Sherburne; Stephen C. Adams; Barry M. Horowitz; Peter A. Beling; Cody H. Fleming (Softw. Syst. Model., 2022)

Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. - Stephen C. Adams; Tyler Cody; Ramin Salman Roughani; Peter A. Beling (ICMLA, 2023)