Peter A. Beling

Orcid: 0000-0003-2196-6982

Affiliations:
  • University of Virginia, Charlottesville, VA, USA


According to our database1, Peter A. Beling authored at least 120 papers between 1992 and 2023.

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Bibliography

2023
Whole Campaign Emulation with Reinforcement Learning for Cyber Test.
IEEE Instrum. Meas. Mag., August, 2023

A Systems Theory of Transfer Learning.
IEEE Syst. J., March, 2023

A Systems-Theoretical Formalization of Closed Systems.
CoRR, 2023

Challenges and Opportunities in the Digital Engineering Simulation Curriculum Development.
Proceedings of the IEEE International Systems Conference, 2023

Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Cascading Negative Transfer in Networks of Machine Learning Systems.
Proceedings of the IEEE International Conference on Assured Autonomy, 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

Initial Development of a Roadmap for Digital Engineering Simulations Curriculum.
Proceedings of the IEEE International Systems Conference, 2022

Closed Systems Paradigm for Intelligent Systems.
Proceedings of the IEEE International Systems Conference, 2022

Active Learning with Combinatorial Coverage.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 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

Core and Periphery as Closed-System Precepts for Engineering General Intelligence.
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021
Trustworthy AI for Digital Engineering Transformation.
J. Integr. Des. Process. Sci., 2021

Cyberphysical Security Through Resiliency: A Systems-Centric Approach.
Computer, 2021

Modeling law search as prediction.
Artif. Intell. Law, 2021

Correction to: Modeling law search as prediction.
Artif. Intell. Law, 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

Investigating the Robustness and Generalizability of Deep Reinforcement Learning Based Optimal Trade Execution Systems.
Proceedings of the Intelligent Computing, 2021

An Agent-Based Market Simulator for Back-Testing Deep Reinforcement Learning Based Trade Execution Strategies.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

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

Reinforcement Learning for Flooding Mitigation in Complex Stormwater Systems during Large Storms.
Proceedings of the 19th IEEE International Conference on Smart Technologies, 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

Is my sensor sleeping, hibernating, or broken?: A data-driven monitoring system for indoor energy harvesting sensors.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

A Deep Reinforcement Learning Framework for Optimal Trade Execution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

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

An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 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
Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games.
IEEE Trans. Games, 2018

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

Generating Synthetic Bitcoin Transactions and Predicting Market Price Movement Via Inverse Reinforcement Learning and Agent-Based Modeling.
J. Artif. Soc. Soc. Simul., 2018

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

Unsupervised Hierarchical Clustering of Build Orders in a Real-Time Strategy Game.
Comput. Games J., 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
Optimal Model-Based 6-D Object Pose Estimation With Structured-Light Depth Sensors.
IEEE Trans. Computational Imaging, 2017

Adaptive Multiscale Optimization: Concept and Case Study on Simulated UAV Surveillance Operations.
IEEE Syst. J., 2017

Regulatory capital decisions in the Context of consumer loan portfolios.
J. Oper. Res. Soc., 2017

Agent-based model construction using inverse reinforcement learning.
Proceedings of the 2017 Winter Simulation 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
Simulating Kinect Infrared and Depth Images.
IEEE Trans. Cybern., 2016

Models of sequential decision making in consumer lending.
Decis. Anal., 2016

Loan origination decisions using a multinomial scorecard.
Ann. Oper. Res., 2016

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

Agent-based financial markets: A review of the methodology and domain.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Introduction to feature cluster in memory of Douglas J. White.
J. Oper. Res. Soc., 2015

Order Routing and Arbitrage Opportunities in a Multi-Market Trading Simulation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Agent-Based Model for Order Routing and Financial Market Integration.
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015

2014
Statistical Analysis-Based Error Models for the Microsoft Kinect<sup>TM</sup> Depth Sensor.
Sensors, 2014

Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example.
CoRR, 2014

Multi-agent Inverse Reinforcement Learning for Zero-sum Games.
CoRR, 2014

Real Time Strategy Language.
CoRR, 2014

An agent-based financial simulation for use by researchers.
Proceedings of the 2014 Winter Simulation Conference, 2014

The need for a real time strategy game language.
Proceedings of the 2014 Winter Simulation Conference, 2014

Computational intelligence in financial engineering trading competition: a system for project-based learning.
Proceedings of the 2014 Winter Simulation Conference, 2014

Algorithmic trading behavior identification using reward learning method.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Efficacy of statistical model-based pose estimation of rigid objects with corresponding CAD models using commodity depth sensors.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Statistical models of horizontal and vertical stochastic noise for the Microsoft Kinect™ sensor.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Micro-price trading in an order-driven market.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Visualizations for sense-making in financial market regulation.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Behavior Pattern Recognition using A New Representation Model
CoRR, 2013

A dynamic theory of the credit union.
Ann. Oper. Res., 2013

Recognition of Agents Based on Observation of Their Sequential Behavior.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012
Agent based model of the e-mini future: application for policy making.
Proceedings of the Winter Simulation Conference, 2012

Behavior based learning in identifying High Frequency Trading strategies.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

An agent based model of the E-Mini S&P 500 applied to flash crash analysis.
Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011
Inverse reinforcement learning with Gaussian process.
Proceedings of the American Control Conference, 2011

Classroom Video Assessment and Retrieval via Multiple Instance Learning.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Scoring decisions in the context of economic uncertainty.
J. Oper. Res. Soc., 2010

Estimation error in regulatory capital requirements: theoretical implications for consumer bank profitability.
J. Oper. Res. Soc., 2010

2009
Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning.
Proceedings of the ICDM Workshops 2009, 2009

2008
Decentralized Bayesian Search Using Approximate Dynamic Programming Methods.
IEEE Trans. Syst. Man Cybern. Part B, 2008

2007
Natural Solutions for a Class of Symmetric Games.
Proceedings of the Game Theoretic and Decision Theoretic Agents, 2007

2006
Extracting Acyclic Dependency Models from Quality Standards for COTS Software Evaluation.
J. Aerosp. Comput. Inf. Commun., 2006

2005
Optimal scoring cutoff policies and efficient frontiers.
J. Oper. Res. Soc., 2005

2003
Machine quantification of text-based economic reports for use in predictive modeling.
Proceedings of the IEEE International Conference on Systems, 2003

2002
A Bayesian framework for the combination of classifier outputs.
J. Oper. Res. Soc., 2002

2001
A study in the combination of two consumer credit scores.
J. Oper. Res. Soc., 2001

Exact Algorithms for Linear Programming over Algebraic Extensions.
Algorithmica, 2001

2000
A probabilistic analysis of a measure of combinatorial complexity for the central curve.
Math. Program., 2000

A meta-Gaussian approach to learning non-Gaussian Bayesian network structure.
Proceedings of the IEEE International Conference on Systems, 2000

Optimization based decision trees for multi-modal problems.
Proceedings of the IEEE International Conference on Systems, 2000

Contribution-based approach for feature selection in linear programming-based models.
Proceedings of the IEEE International Conference on Systems, 2000

1998
Using Fast Matrix Multiplication to Find Basic Solutions.
Theor. Comput. Sci., 1998

A heuristic for the topological design of two-tiered networks.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Hybrid evolutionary algorithms for a multiobjective financial problem.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Induction of rule-based scoring functions.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Optimization based classifiers for road extraction.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Tensored nearest-neighbor classifiers.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A fast symmetric penalty algorithm for the linear complementarity problem.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
Combinatorial Complexity of the Central Curve.
Proceedings of the Twenty-Ninth Annual ACM Symposium on the Theory of Computing, 1997

1994
Polynomial Algorithms for Linear Programming over the Algebraic Numbers.
Algorithmica, 1994

1992
Polynomial algorithms for LP over a subring of the algebraic integers with applications to LP with circulant matrices.
Math. Program., 1992


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