Laura J. Freeman

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

International Trade

Artificial Intelligence

Classification Error

Machine Learning

Top Venues

Qual. Reliab. Eng. Int.

Publications

D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman
Assured Autonomy Through Combinatorial Methods. Computer 57 (5) (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)
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning. CoRR (2023)
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
Active Learning with Combinatorial Coverage. CoRR (2023)
Laura J. Freeman
Review: Is design data collection still relevant in the big data era? With extensions to machine learning. Qual. Reliab. Eng. Int. 39 (4) (2023)
Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh
Rationalization for Explainable NLP: A Survey. CoRR (2023)
Tyler Cody, Laura J. Freeman
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. ICSTW (2023)
Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman
Test & Evaluation Best Practices for Machine Learning-Enabled 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, Laura J. Freeman
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. CoRR (2023)
Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data. CoRR (2023)
Laura J. Freeman, Feras A. Batarseh, D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker
The Path to a Consensus on Artificial Intelligence Assurance. Computer 55 (3) (2022)
Daniel Sobien, Erik Higgins, Justin Krometis, Justin Kauffman, Laura J. Freeman
Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space. Mach. Learn. Knowl. Extr. 4 (3) (2022)
Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham
Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems. FLAIRS (2022)
Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. CoRR (2022)
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
Active Learning with Combinatorial Coverage. ICMLA (2022)
Katherine Cauthen, Prashant Rai, Nicholas Hale, Laura J. Freeman, Jaideep Ray
Detecting technological maturity from bibliometric patterns. Expert Syst. Appl. 201 (2022)
Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, Mohammad S. Raunak, Rick Kuhn
Enabling AI Adoption through Assurance. FLAIRS (2022)
Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. ICST Workshops (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)
Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty, Erin Lanus, Laura J. Freeman
ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks. GLOBECOM (2021)
Priyanka Aggarwal, Sayyed Farid Ahamed, Sachin Shetty, Laura J. Freeman
Selective Targeted Transfer Learning for Malware Classification. TPS-ISA (2021)
Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura J. Freeman, Feras A. Batarseh
Graph Neural Networks for Modeling Causality in International Trade. FLAIRS Conference (2021)
Sami Wood, Erin Lanus, Daniel D. Doyle, Jeremy Ogorzalek, Christopher T. Franck, Laura J. Freeman
Developing Hierarchies for Image Classification Model Evaluation. AI4I (2021)
Feras A. Batarseh, Laura J. Freeman
A Survey on AI Assurance. CoRR (2021)
Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura J. Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents. SOSE (2021)
Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura J. Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents. CoRR (2021)
Erin Lanus, Laura J. Freeman, D. Richard Kuhn, Raghu N. Kacker
Combinatorial Testing Metrics for Machine Learning. ICST Workshops (2021)
Feras A. Batarseh, Laura J. Freeman, Chih-Hao Huang
A survey on artificial intelligence assurance. J. Big Data 8 (1) (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)
Feras A. Batarseh, Dominick Perini, Qasim Wani, Laura J. Freeman
Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks. AI*IA (2021)
Yili Hong, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng
Statistical Perspectives on Reliability of Artificial Intelligence Systems. CoRR (2021)
Jiayi Lian, Laura J. Freeman, Yili Hong, Xinwei Deng
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments. CoRR (2020)
Rebecca M. Medlin, Laura J. Freeman, Jennifer L. K. Kensler, G. Geoffrey Vining
Analysis of split-plot reliability experiments with subsampling. Qual. Reliab. Eng. Int. 35 (3) (2019)
Thomas H. Johnson, Rebecca M. Medlin, Laura J. Freeman
Power approximations for failure-time regression models. Qual. Reliab. Eng. Int. 35 (6) (2019)
Laura J. Freeman
Special Issue: Advancing Statistical Methods for Testing and Evaluating Defense Systems. Qual. Reliab. Eng. Int. 35 (3) (2019)
Matthew Avery, Mark Orndorff, Timothy J. Robinson, Laura J. Freeman
Regularization for Continuously Observed Ordinal Response Variables with Piecewise-constant Functional Covariates. Qual. Reliab. Eng. Int. 32 (6) (2016)
Thomas H. Johnson, Laura J. Freeman, Janice Hester, Jonathan L. Bell
A Comparison of Ballistic Resistance Testing Techniques in the Department of Defense. IEEE Access 2 (2014)
Laura J. Freeman, G. Geoffrey Vining
Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling. Qual. Reliab. Eng. Int. 29 (4) (2013)
Vivek K. Singh, Laura J. Freeman, Bruno Lepri, Alex Pentland
Predicting Spending Behavior Using Socio-mobile Features. SocialCom (2013)