Stephen Adams

Virginia Tech — United States

Engineering · Physical Sciences

26h-index2.9kcitations141works0.32yr avg
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Research Topics

Fault Detection and Control Systems(14), Clinical Nutrition and Gastroenterology(11), Pharmaceutical studies and practices(10), Imbalanced Data Classification Techniques(8), Machine Fault Diagnosis Techniques(7)

Publications141 total

Impact of Sensor Faults on Condition Monitoring of a Hydraulic Actuator
Annual Conference of the PHM Society·2025Open Access
MentorPDM: Learning Data-Driven Curriculum for Multi-Modal Predictive Maintenance
2025Open Access
Online Learning and Transfer Learning for Cyber Attack Detection
Lecture notes in networks and systems·2025
Achieving Cyber-Resilience for Power Systems using a Learning, Model-Assisted Blockchain Framework
2024· 1 citedOpen Access
Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments
2023· 2 cited
Deep-Learning-Based Digitization of Protein-Self-Assembly to Print Biodegradable Physically Unclonable Labels for Device Security
Micromachines·2023· 1 citedOpen Access
Identifying Correlates of Emergent Behaviors in Agent-Based Simulation Models Using Inverse Reinforcement Learning
2022 Winter Simulation Conference (WSC)·2022· 3 cited
Safe care transitions for patients receiving parenteral nutrition
Nutrition in Clinical Practice·2022· 15 citedOpen Access
Empirically Measuring Transfer Distance for System Design and Operation
IEEE Systems Journal·2022Open Access
A survey of inverse reinforcement learning
Artificial Intelligence Review·2022· 100 citedOpen Access
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems
Expert Systems with Applications·2021· 75 cited
Trade-offs in Metric Learning for Bearing Fault Diagnosis
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)·2021· 1 cited
Inverse Reinforcement Learning for Strategy Identification
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)·2021· 2 cited
Pareto-Optimal Active Learning with Cost
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)·2021
Topic overlap and research waste at the ‘Overviews of systematic reviews’ level: a meta-research study
Research Square (Research Square)·2021Open Access
Topic duplication and research waste at the ‘Overviews of systematic reviews’ level: Survey of overlapping overviews
Research Square (Research Square)·2021Open Access
Value-Decomposition Multi-Agent Actor-Critics
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 86 citedOpen Access
Developing a Recommendation System for Collegiate Golf Recruiting
2021· 2 cited
Enemy Location Prediction in Naval Combat Using Deep Learning
2021· 2 cited
Generative adversarial networks for data augmentation and transfer in credit card fraud detection
Journal of the Operational Research Society·2021· 37 cited
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Frequent Co-authors

Peter A. Beling(28), Beverly Holcombe(6), David S. Seres(4), M. Petrea Cober(4), June Greaves(4), Gordon S. Sacks(4), Phil Ayers(4), Joseph I. Boullata(4), Tyler Cody(4), Patricia Worthington(3), Jane M. Gervasio(3), Neil Marshall(3), Cody Fleming(3), Steve Plogsted(3), Karen Allen(3), Kris M. Mogensen(3), Amy Ralph(3), Ceressa T. Ward(3), Joe Ybarra(3), Kevin Farinholt(3)