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Peter A. Beling
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- affiliation: University of Virginia, Charlottesville, VA, USA
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Journal Articles
- 2023
- [j42]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): 25-30 (2023) - [j41]Tyler Cody
, Peter A. Beling
:
A Systems Theory of Transfer Learning. IEEE Syst. J. 17(1): 26-37 (2023) - 2022
- [j40]Stephen C. Adams
, Tyler Cody, Peter A. Beling:
A survey of inverse reinforcement learning. Artif. Intell. Rev. 55(6): 4307-4346 (2022) - [j39]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: 116323 (2022) - [j38]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): 153-180 (2022) - [j37]Tyler Cody
, Stephen C. Adams
, Peter A. Beling
:
Empirically Measuring Transfer Distance for System Design and Operation. IEEE Syst. J. 16(3): 4962-4973 (2022) - [j36]Georgios Bakirtzis
, Tim Sherburne, Stephen C. Adams, Barry M. Horowitz, Peter A. Beling, Cody H. Fleming:
An ontological metamodel for cyber-physical system safety, security, and resilience coengineering. Softw. Syst. Model. 21(1): 113-137 (2022) - 2021
- [j35]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): 1 (2021) - [j34]Faraz Dadgostari
, Mauricio Guim, Peter A. Beling, Michael A. Livermore
, Daniel N. Rockmore
:
Modeling law search as prediction. Artif. Intell. Law 29(1): 3-34 (2021) - [j33]Cody H. 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): 36-45 (2021) - [j32]Jingwei Huang
, Peter A. Beling, Laura J. Freeman, Yong Zeng
:
Trustworthy AI for Digital Engineering Transformation. J. Integr. Des. Process. Sci. 25(1): 1-7 (2021) - 2019
- [j31]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): 1739-1779 (2019) - [j30]Xiaomin Lin
, Stephen C. Adams, Peter A. Beling:
Multi-agent Inverse Reinforcement Learning for Certain General-sum Stochastic Games. J. Artif. Intell. Res. 66: 473-502 (2019) - [j29]Stephen C. Adams
, Peter A. Beling, William T. Scherer, Cody H. Fleming, James H. Lambert:
Research Advances with Systems Engineering in Context. Syst. Eng. 22(5): 369 (2019) - [j28]Bryan T. Carter
, Stephen C. Adams
, Georgios Bakirtzis
, Tim Sherburne
, Peter A. Beling
, Barry M. Horowitz, Cody H. Fleming
:
A Preliminary Design-Phase Security Methodology for Cyber-Physical Systems. Syst. 7(2): 21 (2019) - 2018
- [j27]William T. Scherer, Stephen C. Adams
, Peter A. Beling:
On the Practical Art of State Definitions for Markov Decision Process Construction. IEEE Access 6: 21115-21128 (2018) - [j26]Roy Hayes
, Peter A. Beling:
Unsupervised Hierarchical Clustering of Build Orders in a Real-Time Strategy Game. Comput. Games J. 7(1): 5-26 (2018) - [j25]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) - [j24]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): 1203-1217 (2018) - [j23]Xiaomin Lin
, Peter A. Beling, Randy Cogill:
Multiagent Inverse Reinforcement Learning for Two-Person Zero-Sum Games. IEEE Trans. Games 10(1): 56-68 (2018) - 2017
- [j22]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): 847-858 (2017) - [j21]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): 1947-1958 (2017) - [j20]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): 58-73 (2017) - 2016
- [j19]Stephen C. Adams
, Peter A. Beling, Randy Cogill:
Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models. IEEE Access 4: 1642-1657 (2016) - [j18]Lu Gao, Kanshukan Rajaratnam
, Peter A. Beling:
Loan origination decisions using a multinomial scorecard. Ann. Oper. Res. 243(1-2): 199-210 (2016) - [j17]Kanshukan Rajaratnam
, Peter A. Beling, George A. Overstreet Jr.:
Models of sequential decision making in consumer lending. Decis. Anal. 3: 6 (2016) - [j16]Michael J. Landau
, Benjamin Choo, Peter A. Beling:
Simulating Kinect Infrared and Depth Images. IEEE Trans. Cybern. 46(12): 3018-3031 (2016) - 2015
- [j15]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): 1589-1594 (2015) - 2014
- [j14]Benjamin Choo, Michael J. Landau
, Michael D. DeVore, Peter A. Beling:
Statistical Analysis-Based Error Models for the Microsoft KinectTM Depth Sensor. Sensors 14(9): 17430-17450 (2014) - 2013
- [j13]Geoffrey M. Rubin, George A. Overstreet Jr., Peter A. Beling, Kanshukan Rajaratnam
:
A dynamic theory of the credit union. Ann. Oper. Res. 205(1): 29-53 (2013) - 2010
- [j12]Peter A. Beling, George A. Overstreet Jr., Kanshukan Rajaratnam:
Estimation error in regulatory capital requirements: theoretical implications for consumer bank profitability. J. Oper. Res. Soc. 61(3): 381-392 (2010) - [j11]Kanshukan Rajaratnam
, Peter A. Beling, George A. Overstreet Jr.:
Scoring decisions in the context of economic uncertainty. J. Oper. Res. Soc. 61(3): 421-429 (2010) - 2008
- [j10]Yijia Zhao, Stephen D. Patek, Peter A. Beling:
Decentralized Bayesian Search Using Approximate Dynamic Programming Methods. IEEE Trans. Syst. Man Cybern. Part B 38(4): 970-975 (2008) - 2006
- [j9]Allan T. Morris, Peter A. Beling:
Extracting Acyclic Dependency Models from Quality Standards for COTS Software Evaluation. J. Aerosp. Comput. Inf. Commun. 3(7): 327-339 (2006) - 2005
- [j8]Peter A. Beling, Z. Covaliu, Robert M. Oliver:
Optimal scoring cutoff policies and efficient frontiers. J. Oper. Res. Soc. 56(9): 1016-1029 (2005) - 2002
- [j7]Hui Zhu, Peter A. Beling, George A. Overstreet Jr.:
A Bayesian framework for the combination of classifier outputs. J. Oper. Res. Soc. 53(7): 719-727 (2002) - 2001
- [j6]Peter A. Beling:
Exact Algorithms for Linear Programming over Algebraic Extensions. Algorithmica 31(4): 459-478 (2001) - [j5]Hui Zhu, Peter A. Beling, George A. Overstreet Jr.:
A study in the combination of two consumer credit scores. J. Oper. Res. Soc. 52(9): 974-980 (2001) - 2000
- [j4]Peter A. Beling, Sushil Verma:
A probabilistic analysis of a measure of combinatorial complexity for the central curve. Math. Program. 87(1): 177-187 (2000) - 1998
- [j3]Peter A. Beling, Nimrod Megiddo:
Using Fast Matrix Multiplication to Find Basic Solutions. Theor. Comput. Sci. 205(1-2): 307-316 (1998) - 1994
- [j2]Ilan Adler, Peter A. Beling:
Polynomial Algorithms for Linear Programming over the Algebraic Numbers. Algorithmica 12(6): 436-457 (1994) - 1992
- [j1]Ilan Adler, Peter A. Beling:
Polynomial algorithms for LP over a subring of the algebraic integers with applications to LP with circulant matrices. Math. Program. 57: 121-143 (1992)
Conference and Workshop Papers
- 2024
- [c74]Tyler Cody, Peter A. Beling:
Towards a Process Algebra and Operator Theory for Learning System Objects. AGI 2024: 43-52 - [c73]Tyler Cody, Bingtong Li, Peter A. Beling:
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. SysCon 2024: 1-8 - [c72]Anli du Preez, Peter A. Beling, Tyler Cody:
A Systems Theoretic Approach to Online Machine Learning. SysCon 2024: 1-8 - 2023
- [c71]Tyler Cody, Peter A. Beling:
Cascading Negative Transfer in Networks of Machine Learning Systems. ICAA 2023: 141-148 - [c70]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: 900-907 - [c69]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: 1-7 - 2022
- [c68]Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling:
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. AGI 2022: 209-219 - [c67]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: 1-6 - [c66]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: 1-8 - [c65]Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman:
Active Learning with Combinatorial Coverage. ICMLA 2022: 1129-1136 - [c64]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: 1350-1357 - [c63]Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling:
Closed Systems Paradigm for Intelligent Systems. SysCon 2022: 1-8 - [c62]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: 1-7 - [c61]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: 322-333 - 2021
- [c60]Jianyu Su, Stephen C. Adams, Peter A. Beling:
Value-Decomposition Multi-Agent Actor-Critics. AAAI 2021: 11352-11360 - [c59]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: 274-279 - [c58]Tyler Cody, Stephen C. Adams, Peter A. Beling:
Trade-offs in Metric Learning for Bearing Fault Diagnosis. ICMLA 2021: 1100-1105 - [c57]Siyu Lin, Peter A. Beling:
An Agent-Based Market Simulator for Back-Testing Deep Reinforcement Learning Based Trade Execution Strategies. ICONIP (3) 2021: 644-653 - [c56]Siyu Lin, Peter A. Beling:
Investigating the Robustness and Generalizability of Deep Reinforcement Learning Based Optimal Trade Execution Systems. SAI (2) 2021: 912-926 - [c55]Stephen C. Adams, Tyler Cody, Peter A. Beling:
Pareto-Optimal Active Learning with Cost. SMC 2021: 1519-1526 - [c54]Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling:
Inverse Reinforcement Learning for Strategy Identification. SMC 2021: 3067-3074 - 2020
- [c53]Stephen C. Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt:
Hierarchical Classification for Unknown Faults. ICPHM 2020: 1-8 - [c52]Siyu Lin, Peter A. Beling:
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization. IJCAI 2020: 4548-4554 - [c51]Cheng Wang, Benjamin D. Bowes, Arash Tavakoli, Stephen C. Adams, Jonathan L. Goodall, Peter A. Beling:
Smart Stormwater Control Systems: A Reinforcement Learning Approach. ISCRAM 2020: 2-13 - [c50]Jianyu Su
, Peter A. Beling, Rui Guo, Kyungtae Han:
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. ITSC 2020: 1-8 - [c49]Siyu Lin, Peter A. Beling:
A Deep Reinforcement Learning Framework for Optimal Trade Execution. ECML/PKDD (5) 2020: 223-240 - [c48]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: 210-219 - [c47]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: 1-12 - [c46]Jie Liu, Stephen C. Adams, Peter A. Beling:
An Ensemble Trust Scoring Method for Internet of Things Sensor Networks. WF-IoT 2020: 1-6 - 2019
- [c45]Maxwell Berman, Stephen C. Adams, Tim Sherburne, Cody H. Fleming, Peter A. Beling:
Active Learning to Improve Static Analysis. ICMLA 2019: 1322-1327 - [c44]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: 1-7 - [c43]Stephen C. Adams, Peter A. Beling:
Feature Selection for Hidden Markov Models with Discrete Features. IntelliSys (1) 2019: 67-82 - [c42]Tyler Cody, Stephen C. Adams, Peter A. Beling:
A Systems Theoretic Perspective on Transfer Learning. SysCon 2019: 1-7 - 2018
- [c41]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: 1-7 - [c40]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: 1-8 - [c39]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: 17-30 - [c38]Stephen C. Adams, Bryan T. Carter, Cody H. Fleming, Peter A. Beling:
Selecting System Specific Cybersecurity Attack Patterns Using Topic Modeling. TrustCom/BigDataSE 2018: 490-497 - [c37]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: 1070-1078 - [c36]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: 1838-1843 - 2017
- [c35]Stephen C. Adams, Ryan Meekins, Peter A. Beling:
An Empirical Evaluation of Techniques for Feature Selection with Cost. ICDM Workshops 2017: 834-841 - [c34]Benjamin Y. Choo, Stephen C. Adams, Peter A. Beling:
Health-aware hierarchical control for smart manufacturing using reinforcement learning. ICPHM 2017: 40-47 - [c33]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: 1264-1275 - 2016
- [c32]Andrew Todd, Peter A. Beling, William T. Scherer, Steve Y. Yang:
Agent-based financial markets: A review of the methodology and domain. SSCI 2016: 1-5 - 2015
- [c31]Andrew Todd, Peter A. Beling, William T. Scherer:
Agent-Based Model for Order Routing and Financial Market Integration. PAAMS (Special Sessions) 2015: 19-26 - [c30]Andrew Todd, Peter A. Beling, William T. Scherer:
Order Routing and Arbitrage Opportunities in a Multi-Market Trading Simulation. SSCI 2015: 1774-1777 - 2014
- [c29]Andrew Todd, William T. Scherer, Peter A. Beling, Mark E. Paddrik, Richard Haynes:
Visualizations for sense-making in financial market regulation. IEEE BigData 2014: 730-735 - [c28]Andrew Todd, Roy Hayes, Peter A. Beling, William T. Scherer:
Micro-price trading in an order-driven market. CIFEr 2014: 294-297 - [c27]Benjamin Choo, Michael D. DeVore, Peter A. Beling:
Statistical models of horizontal and vertical stochastic noise for the Microsoft Kinect™ sensor. IECON 2014: 2624-2630 - [c26]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: 3445-3451 - [c25]Steve Y. Yang, Qifeng Qiao, Peter A. Beling, William T. Scherer:
Algorithmic trading behavior identification using reward learning method. IJCNN 2014: 3807-3414 - [c24]Roy Hayes, Andrew Todd, Nachapon Chaidarun, Scott Tepsuporn, Peter A. Beling, William T. Scherer:
An agent-based financial simulation for use by researchers. WSC 2014: 300-309 - [c23]Roy Hayes, Peter A. Beling, William T. Scherer:
The need for a real time strategy game language. WSC 2014: 3495-3504 - [c22]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: 3552-3560 - 2013
- [c21]Qifeng Qiao, Peter A. Beling:
Recognition of Agents Based on Observation of Their Sequential Behavior. ECML/PKDD (1) 2013: 33-48 - 2012
- [c20]Mark E. Paddrik, Roy Hayes, Andrew Todd, Steve Y. Yang, Peter A. Beling, William T. Scherer:
An agent based model of the E-Mini S&P 500 applied to flash crash analysis. CIFEr 2012: 1-8 - [c19]Steve Y. Yang, Mark E. Paddrik, Roy Hayes, Andrew Todd, Andrei Kirilenko, Peter A. Beling, William T. Scherer:
Behavior based learning in identifying High Frequency Trading strategies. CIFEr 2012: 1-8 - [c18]Roy Hayes, Mark E. Paddrik, Andrew Todd, Steve Y. Yang, Peter A. Beling, William T. Scherer:
Agent based model of the e-mini future: application for policy making. WSC 2012: 111:1-111:12 - 2011
- [c17]Qifeng Qiao, Peter A. Beling:
Classroom Video Assessment and Retrieval via Multiple Instance Learning. AIED 2011: 272-279 - [c16]Qifeng Qiao, Peter A. Beling:
Inverse reinforcement learning with Gaussian process. ACC 2011: 113-118 - 2009
- [c15]Qifeng Qiao, Peter A. Beling:
Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning. ICDM Workshops 2009: 170-175 - 2007
- [c14]Stephen D. Patek, Peter A. Beling, Yijia Zhao:
Natural Solutions for a Class of Symmetric Games. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents 2007: 47-53 - 2003
- [c13]Lu Gao, Peter A. Beling:
Machine quantification of text-based economic reports for use in predictive modeling. SMC 2003: 3536-3541 - 2000
- [c12]Venkat Chalasani, Peter A. Beling:
Contribution-based approach for feature selection in linear programming-based models. SMC 2000: 1939-1943 - [c11]Hui Zhu, Peter A. Beling:
A meta-Gaussian approach to learning non-Gaussian Bayesian network structure. SMC 2000: 1949-1954 - [c10]Venkat Chalasani, Peter A. Beling:
Optimization based decision trees for multi-modal problems. SMC 2000: 2269-2274 - 1998
- [c9]Venkat Chalasani, Peter A. Beling:
Tensored nearest-neighbor classifiers. SMC 1998: 2913-2916 - [c8]Venkat Chalasani, Peter A. Beling:
Optimization based classifiers for road extraction. SMC 1998: 2938-2943 - [c7]Peter A. Beling, Sushil Verma:
A fast symmetric penalty algorithm for the linear complementarity problem. SMC 1998: 2950-2955 - [c6]Luong Tran, Peter A. Beling:
A heuristic for the topological design of two-tiered networks. SMC 1998: 2962-2967 - [c5]Silla Mullei, Peter A. Beling:
Induction of rule-based scoring functions. SMC 1998: 2968-2973 - [c4]Silla Mullei, Peter A. Beling:
Hybrid evolutionary algorithms for a multiobjective financial problem. SMC 1998: 3925-3930 - 1997
- [c3]Peter A. Beling, Sushil Verma:
Combinatorial Complexity of the Central Curve. STOC 1997: 250-255 - 1992
- [c2]Ilan Adler, Peter A. Beling:
Polynomial Algorithms for Linear Programming over the Algebraic Numbers. STOC 1992: 483-494 - 1991
- [c1]Ilan Adler, Peter A. Beling:
Polynomial Algorithms for LP over a Subring of the Algebraic Integers with Applications to LP with Circulant Matrices. FOCS 1991: 480-487
Informal and Other Publications
- 2024
- [i24]Tyler Cody, Bingtong Li, Peter A. Beling:
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. CoRR abs/2404.03769 (2024) - [i23]Anli du Preez, Peter A. Beling, Tyler Cody:
A Systems Theoretic Approach to Online Machine Learning. CoRR abs/2404.03775 (2024) - [i22]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 abs/2405.02989 (2024) - 2023
- [i21]Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman:
Active Learning with Combinatorial Coverage. CoRR abs/2302.14567 (2023) - [i20]Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling:
A Systems-Theoretical Formalization of Closed Systems. CoRR abs/2311.10786 (2023) - 2022
- [i19]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 abs/2201.12416 (2022) - [i18]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 abs/2203.11414 (2022) - [i17]Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling:
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. CoRR abs/2208.02837 (2022) - [i16]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 abs/2211.03027 (2022) - 2021
- [i15]Tyler Cody, Stephen C. Adams, Peter A. Beling:
Empirically Measuring Transfer Distance for System Design and Operation. CoRR abs/2107.01184 (2021) - [i14]Tyler Cody, Peter A. Beling:
A Systems Theory of Transfer Learning. CoRR abs/2107.01196 (2021) - [i13]Mark Rucker, Stephen C. Adams, Roy Hayes, Peter A. Beling:
Inverse Reinforcement Learning for Strategy Identification. CoRR abs/2108.00293 (2021) - 2020
- [i12]Jianyu Su
, Stephen C. Adams, Peter A. Beling:
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication. CoRR abs/2004.00470 (2020) - [i11]Georgios Bakirtzis, Tim Sherburne, Stephen C. Adams, Barry M. Horowitz, Peter A. Beling, Cody H. Fleming:
An Ontological Metamodel for Cyber-Physical System Safety, Security, and Resilience Coengineering. CoRR abs/2006.05304 (2020) - [i10]Jianyu Su, Stephen C. Adams, Peter A. Beling:
Value-Decomposition Multi-Agent Actor-Critics. CoRR abs/2007.12306 (2020) - [i9]Cody H. 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 abs/2011.14469 (2020) - 2019
- [i8]Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han:
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. CoRR abs/1911.09837 (2019) - 2018
- [i7]Xiaomin Lin, Stephen C. Adams, Peter A. Beling:
Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games. CoRR abs/1806.09795 (2018) - 2014
- [i6]Roy Hayes, Peter A. Beling, William T. Scherer:
Real Time Strategy Language. CoRR abs/1401.5424 (2014) - [i5]Qifeng Qiao, Peter A. Beling:
Classroom Video Assessment and Retrieval via Multiple Instance Learning. CoRR abs/1403.6248 (2014) - [i4]Xiaomin Lin, Peter A. Beling, Randy Cogill:
Multi-agent Inverse Reinforcement Learning for Zero-sum Games. CoRR abs/1403.6508 (2014) - [i3]Xiaomin Lin, Peter A. Beling, Randy Cogill:
Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example. CoRR abs/1403.6822 (2014) - 2013
- [i2]Qifeng Qiao, Peter A. Beling:
Behavior Pattern Recognition using A New Representation Model. CoRR abs/1301.3630 (2013) - 2012
- [i1]Qifeng Qiao, Peter A. Beling:
Inverse Reinforcement Learning with Gaussian Process. CoRR abs/1208.2112 (2012)
Coauthor Index
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