Peter A. Beling

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 88

Top Venues

Publications

Tyler Cody, Peter A. Beling
Towards a Process Algebra and Operator Theory for Learning System Objects. AGI (2024)
Tyler Cody, Bingtong Li, Peter A. Beling
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. SysCon (2024)
Anli du Preez, Peter A. Beling, Tyler Cody
A Systems Theoretic Approach to Online Machine Learning. SysCon (2024)
Tyler Cody, Bingtong Li, Peter A. Beling
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. CoRR (2024)
Anli du Preez, Peter A. Beling, Tyler Cody
A Systems Theoretic Approach to Online Machine Learning. CoRR (2024)
Zain ul Abdeen, Padmaksha Roy, Ahmad Al-Tawaha, Rouxi Jia, Laura J. Freeman, Peter A. Beling, Chen-Ching Liu, Alberto L. Sangiovanni-Vincentelli, Ming Jin
Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS. CoRR (2024)
Tyler Cody, Peter A. Beling
Cascading Negative Transfer in Networks of Machine Learning Systems. ICAA (2023)
Stephen C. Adams, Tyler Cody, Ramin Salman Roughani, Peter A. Beling
Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. ICMLA (2023)
Tyler Cody, Peter A. Beling
A Systems Theory of Transfer Learning. IEEE Syst. J. 17 (1) (2023)
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
Active Learning with Combinatorial Coverage. CoRR (2023)
Hoong Yan See Tao, Nicole Hutchison, Megan Clifford, Geoffrey Kerr, Peter A. Beling, Tim Sherburne, Paul Wach, David Long, Craig Arndt, Dinesh Verma, Thomas A. McDermott
Challenges and Opportunities in the Digital Engineering Simulation Curriculum Development. SysCon (2023)
Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling
A Systems-Theoretical Formalization of Closed Systems. CoRR (2023)
Tyler Cody, Emma Meno, Peter A. Beling, Laura J. Freeman
Whole Campaign Emulation with Reinforcement Learning for Cyber Test. IEEE Instrum. Meas. Mag. 26 (5) (2023)
Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. CoRR (2022)
Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR (2022)
Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling
Closed Systems Paradigm for Intelligent Systems. SysCon (2022)
Stephen C. Adams, Tyler Cody, Peter A. Beling
A survey of inverse reinforcement learning. Artif. Intell. Rev. 55 (6) (2022)
Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC (2022)
Tyler Cody, Stephen C. Adams, Peter A. Beling
Empirically Measuring Transfer Distance for System Design and Operation. IEEE Syst. J. 16 (3) (2022)
Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. AGI (2022)
Faraz Dadgostari, Samarth Swarup, Stephen C. Adams, Peter A. Beling, Henning S. Mortveit
Identifying Correlates of Emergent Behaviors in Agent-Based Simulation Models Using Inverse Reinforcement Learning. WSC (2022)
Hoong Yan See Tao, Nicole Hutchison, Peter A. Beling, Craig Arndt, Mark R. Blackburn, Tim Sherburne, Paul Wach, David Long, Dinesh Verma, Thomas A. McDermott
Initial Development of a Roadmap for Digital Engineering Simulations Curriculum. SysCon (2022)
Jianyu Su, Jing Huang, Stephen C. Adams, Qing Chang, Peter A. Beling
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems. Expert Syst. Appl. 192 (2022)
Henning S. Mortveit, Stephen C. Adams, Faraz Dadgostari, Samarth Swarup, Peter A. Beling
BESSIE: A Behavior and Epidemic Simulator for Use With Synthetic Populations. CoRR (2022)
Alex Langevin, Tyler Cody, Stephen C. Adams, Peter A. Beling
Generative adversarial networks for data augmentation and transfer in credit card fraud detection. J. Oper. Res. Soc. 73 (1) (2022)
Georgios Bakirtzis, Tim Sherburne, Stephen C. Adams, Barry M. Horowitz, Peter A. Beling, Cody Harrison Fleming
An ontological metamodel for cyber-physical system safety, security, and resilience coengineering. Softw. Syst. Model. 21 (1) (2022)
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR (2022)
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
Active Learning with Combinatorial Coverage. ICMLA (2022)
Tyler Cody, Stephen C. Adams, Peter A. Beling, Laura J. Freeman
On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems. COINS (2022)
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA (2022)
Jianyu Su, Stephen C. Adams, Peter A. Beling
Value-Decomposition Multi-Agent Actor-Critics. AAAI (2021)
Cheng Wang, Benjamin D. Bowes, Peter A. Beling, Jonathan L. Goodall
Reinforcement Learning for Flooding Mitigation in Complex Stormwater Systems during Large Storms. EUROCON (2021)
Tyler Cody, Peter A. Beling
A Systems Theory of Transfer Learning. CoRR (2021)
Stephen C. Adams, Tyler Cody, Peter A. Beling
Pareto-Optimal Active Learning with Cost. SMC (2021)
Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore, Daniel N. Rockmore
Modeling law search as prediction. Artif. Intell. Law 29 (1) (2021)
Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling
Inverse Reinforcement Learning for Strategy Identification. SMC (2021)
Siyu Lin, Peter A. Beling
An Agent-Based Market Simulator for Back-Testing Deep Reinforcement Learning Based Trade Execution Strategies. ICONIP (3) (2021)
Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling
Inverse Reinforcement Learning for Strategy Identification. CoRR (2021)
Tyler Cody, Stephen C. Adams, Peter A. Beling
Trade-offs in Metric Learning for Bearing Fault Diagnosis. ICMLA (2021)
Tyler Cody, Stephen C. Adams, Peter A. Beling
Empirically Measuring Transfer Distance for System Design and Operation. CoRR (2021)
Siyu Lin, Peter A. Beling
Investigating the Robustness and Generalizability of Deep Reinforcement Learning Based Optimal Trade Execution Systems. SAI (2) (2021)
Jingwei Huang, Peter A. Beling, Laura J. Freeman, Yong Zeng
Trustworthy AI for Digital Engineering Transformation. J. Integr. Des. Process. Sci. 25 (1) (2021)
Cody Harrison Fleming, Carl R. Elks, Georgios Bakirtzis, Stephen C. Adams, Bryan T. Carter, Peter A. Beling, Barry M. Horowitz
Cyberphysical Security Through Resiliency: A Systems-Centric Approach. Computer 54 (6) (2021)
Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore, Daniel N. Rockmore
Correction to: Modeling law search as prediction. Artif. Intell. Law 29 (1) (2021)
Siyu Lin, Peter A. Beling
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization. IJCAI (2020)
Jianyu Su, Stephen C. Adams, Peter A. Beling
Value-Decomposition Multi-Agent Actor-Critics. CoRR (2020)
Georgios Bakirtzis, Tim Sherburne, Stephen C. Adams, Barry M. Horowitz, Peter A. Beling, Cody Harrison Fleming
An Ontological Metamodel for Cyber-Physical System Safety, Security, and Resilience Coengineering. CoRR (2020)
Cody Fleming, Carl R. Elks, Georgios Bakirtzis, Stephen C. Adams, Bryan T. Carter, Peter A. Beling, Barry M. Horowitz
Cyber-Physical Security Through Resiliency: A Systems-centric Approach. CoRR (2020)
Jianyu Su, Stephen C. Adams, Peter A. Beling
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication. CoRR (2020)
Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. ITSC (2020)
Benjamin Choo, Graham Crannell, Stephen C. Adams, Faraz Dadgostari, Peter A. Beling, Ann Bolcavage, Roy McIntyre
Reinforcement Learning from Simulated Environments: An Encoder Decoder Framework. SpringSim (2020)
Jie Liu, Stephen C. Adams, Peter A. Beling
An Ensemble Trust Scoring Method for Internet of Things Sensor Networks. WF-IoT (2020)
Stephen C. Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt
Hierarchical Classification for Unknown Faults. ICPHM (2020)
Alan Wang, Jianyu Su, Arsalan Heydarian, Bradford Campbell, Peter A. Beling
Is my sensor sleeping, hibernating, or broken?: A data-driven monitoring system for indoor energy harvesting sensors. BuildSys@SenSys (2020)
Siyu Lin, Peter A. Beling
A Deep Reinforcement Learning Framework for Optimal Trade Execution. ECML/PKDD (5) (2020)
Cheng Wang, Benjamin Bowes, Arash Tavakoli, Stephen C. Adams, Jonathan L. Goodall, Peter A. Beling
Smart Stormwater Control Systems: A Reinforcement Learning Approach. ISCRAM (2020)
Stephen C. Adams, Peter A. Beling
Feature Selection for Hidden Markov Models with Discrete Features. IntelliSys (1) (2019)
Stephen C. Adams, Peter A. Beling, William T. Scherer, Cody Fleming, James H. Lambert
Research Advances with Systems Engineering in Context. Syst. Eng. 22 (5) (2019)
Stephen C. Adams, Peter A. Beling
A survey of feature selection methods for Gaussian mixture models and hidden Markov models. Artif. Intell. Rev. 52 (3) (2019)
Maxwell Berman, Stephen C. Adams, Tim Sherburne, Cody Fleming, Peter A. Beling
Active Learning to Improve Static Analysis. ICMLA (2019)
Xiaomin Lin, Stephen C. Adams, Peter A. Beling
Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games. J. Artif. Intell. Res. 66 (2019)
Tyler Cody, Stephen C. Adams, Peter A. Beling, Sherwood Polter, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Kennet Castillo, Ryan Meekins
Transferring Random Samples in Actuator Systems for Binary Damage Detection. ICPHM (2019)
Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. CoRR (2019)
Tyler Cody, Stephen C. Adams, Peter A. Beling
A Systems Theoretic Perspective on Transfer Learning. SysCon (2019)
Bryan T. Carter, Stephen C. Adams, Georgios Bakirtzis, Tim Sherburne, Peter A. Beling, Barry M. Horowitz, Cody Harrison Fleming
A Preliminary Design-Phase Security Methodology for Cyber-Physical Systems. Syst. 7 (2) (2019)
Xiaomin Lin, Stephen C. Adams, Peter A. Beling
Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games. CoRR (2018)
Yang Wang, Stephen C. Adams, Peter A. Beling, Steven Greenspan, Sridhar Rajagopalan, Maria C. Velez-Rojas, Serge Mankovski, Steven M. Boker, Donald E. Brown
Privacy Preserving Distributed Deep Learning and Its Application in Credit Card Fraud Detection. TrustCom/BigDataSE (2018)
Don J. Rude, Stephen C. Adams, Peter A. Beling
Task recognition from joint tracking data in an operational manufacturing cell. J. Intell. Manuf. 29 (6) (2018)
Stephen C. Adams, Bryan T. Carter, Cody Harrison Fleming, Peter A. Beling
Selecting System Specific Cybersecurity Attack Patterns Using Topic Modeling. TrustCom/BigDataSE (2018)
William T. Scherer, Stephen C. Adams, Peter A. Beling
On the Practical Art of State Definitions for Markov Decision Process Construction. IEEE Access 6 (2018)
Ryan Meekins, Stephen C. Adams, Peter A. Beling, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Sherwood Polter, Qing Dong
Cost-sensitive Classifier Selection when there is Additional Cost Information. COST@SDM (2018)
Stephen C. Adams, Ryan Meekins, Kevin Farinholt, Nathan Hipwell, Michael Desrosiers, Peter A. Beling
One-Class Support Vector Machines for Structural Health Monitoring on Wave Energy Converters. ICPHM (2018)
Xiaomin Lin, Peter A. Beling, Randy Cogill
Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games. IEEE Trans. Games 10 (1) (2018)
Stephen C. Adams, Graham Crannell, Ann Bolcavage, Roy McIntyre, Peter A. Beling
A Condition Monitoring System for Low Vacuum Plasma Spray using Computer Vision. ICPHM (2018)
Stephen C. Adams, Peter A. Beling, Steven Greenspan, Maria C. Velez-Rojas, Serge Mankovski
Model-Based Trust Assessment for Internet of Things Networks. TrustCom/BigDataSE (2018)
Kamwoo Lee, Sinan Ulkuatam, Peter A. Beling, William T. Scherer
Generating Synthetic Bitcoin Transactions and Predicting Market Price Movement Via Inverse Reinforcement Learning and Agent-Based Modeling. J. Artif. Soc. Soc. Simul. 21 (3) (2018)
Roy Hayes, Peter A. Beling
Unsupervised Hierarchical Clustering of Build Orders in a Real-Time Strategy Game. Comput. Games J. 7 (1) (2018)
Irwin O. Reyes, Peter A. Beling, Barry M. Horowitz
Adaptive Multiscale Optimization: Concept and Case Study on Simulated UAV Surveillance Operations. IEEE Syst. J. 11 (4) (2017)
Michael J. Landau, Peter A. Beling
Optimal Model-Based 6-D Object Pose Estimation With Structured-Light Depth Sensors. IEEE Trans. Computational Imaging 3 (1) (2017)
Kamwoo Lee, Mark Rucker, William T. Scherer, Peter A. Beling, Matthew S. Gerber, Hyojung Kang
Agent-based model construction using inverse reinforcement learning. WSC (2017)
Kanshukan Rajaratnam, Peter A. Beling, George A. Overstreet Jr.
Regulatory capital decisions in the Context of consumer loan portfolios. J. Oper. Res. Soc. 68 (7) (2017)
Benjamin Y. Choo, Stephen C. Adams, Peter A. Beling
Health-aware hierarchical control for smart manufacturing using reinforcement learning. ICPHM (2017)
Stephen C. Adams, Ryan Meekins, Peter A. Beling
An Empirical Evaluation of Techniques for Feature Selection with Cost. ICDM Workshops (2017)
Andrew Todd, Peter A. Beling, William T. Scherer, Steve Y. Yang
Agent-based financial markets: A review of the methodology and domain. SSCI (2016)
Kanshukan Rajaratnam, Peter A. Beling, George A. Overstreet Jr.
Models of sequential decision making in consumer lending. Decis. Anal. 3 (2016)
Stephen C. Adams, Peter A. Beling, Randy Cogill
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models. IEEE Access 4 (2016)
Lu Gao, Kanshukan Rajaratnam, Peter A. Beling
Loan origination decisions using a multinomial scorecard. Ann. Oper. Res. 243 (1-2) (2016)
Michael J. Landau, Benjamin Choo, Peter A. Beling
Simulating Kinect Infrared and Depth Images. IEEE Trans. Cybern. 46 (12) (2016)
Andrew Todd, Peter A. Beling, William T. Scherer
Order Routing and Arbitrage Opportunities in a Multi-Market Trading Simulation. SSCI (2015)
Peter A. Beling, William T. Scherer, Chelsea C. White III
Introduction to feature cluster in memory of Douglas J. White. J. Oper. Res. Soc. 66 (10) (2015)
Andrew Todd, Peter A. Beling, William T. Scherer
Agent-Based Model for Order Routing and Financial Market Integration. PAAMS (Special Sessions) (2015)
Nachapon Chaidarun, Scott Tepsuporn, Roy Hayes, Peter A. Beling, William T. Scherer, Stefano Grazioli
Computational intelligence in financial engineering trading competition: a system for project-based learning. WSC (2014)
Xiaomin Lin, Peter A. Beling, Randy Cogill
Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example. CoRR (2014)
Xiaomin Lin, Peter A. Beling, Randy Cogill
Multi-agent Inverse Reinforcement Learning for Zero-sum Games. CoRR (2014)
Andrew Todd, William T. Scherer, Peter A. Beling, Mark E. Paddrik, Richard Haynes
Visualizations for sense-making in financial market regulation. IEEE BigData (2014)
Michael J. Landau, Peter A. Beling, Michael D. DeVore
Efficacy of statistical model-based pose estimation of rigid objects with corresponding CAD models using commodity depth sensors. IECON (2014)
Andrew Todd, Roy Hayes, Peter A. Beling, William T. Scherer
Micro-price trading in an order-driven market. CIFEr (2014)
Roy Hayes, Peter A. Beling, William T. Scherer
Real Time Strategy Language. CoRR (2014)
Roy Hayes, Peter A. Beling, William T. Scherer
The need for a real time strategy game language. WSC (2014)
Benjamin Choo, Michael D. DeVore, Peter A. Beling
Statistical models of horizontal and vertical stochastic noise for the Microsoft Kinect™ sensor. IECON (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peter A. Beling