Laura J. Freeman

According to our database, Laura J. Freeman authored at least 35 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Whole Campaign Emulation with Reinforcement Learning for Cyber Test.

Tyler Cody, Emma Meno, Peter A. Beling, Laura J. Freeman

IEEE Instrum. Meas. Mag., August, 2023

Review: Is design data collection still relevant in the big data era? With extensions to machine learning.

Laura J. Freeman

Qual. Reliab. Eng. Int., June, 2023

Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data.

Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman

CoRR, 2023

Test & Evaluation Best Practices for Machine Learning-Enabled Systems.

Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman

CoRR, 2023

A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning.

Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner

CoRR, 2023

Rationalization for Explainable NLP: A Survey.

Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh

CoRR, 2023

Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error.

Tyler Cody, Laura J. Freeman

Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023

2022

Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space.

Daniel Sobien, Erik Higgins, Justin Krometis, Justin Kauffman, Laura J. Freeman

Mach. Learn. Knowl. Extr., 2022

Detecting technological maturity from bibliometric patterns.

Katherine Cauthen, Prashant Rai, Nicholas Hale, Laura J. Freeman, Jaideep Ray

Expert Syst. Appl., 2022

The Path to a Consensus on Artificial Intelligence Assurance.

Laura J. Freeman, Feras A. Batarseh, D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker

Computer, 2022

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing.

Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman

Proceedings of the 15th IEEE International Conference on Software Testing, 2022

Active Learning with Combinatorial Coverage.

Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems.

Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Enabling AI Adoption through Assurance.

Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, Mohammad S. Raunak, Rick Kuhn

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems.

Tyler Cody, Stephen C. Adams, Peter A. Beling, Laura J. Freeman

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021

Circular prediction regions for miss distance models under heteroskedasticity.

Thomas H. Johnson, John T. Haman, Heather Wojton, Laura J. Freeman

Qual. Reliab. Eng. Int., 2021

Trustworthy AI for Digital Engineering Transformation.

Jingwei Huang, Peter A. Beling, Laura J. Freeman, Yong Zeng

J. Integr. Des. Process. Sci., 2021

A survey on artificial intelligence assurance.

Feras A. Batarseh, Laura J. Freeman, Chih-Hao Huang

J. Big Data, 2021

A Survey on AI Assurance.

Feras A. Batarseh, Laura J. Freeman

CoRR, 2021

Statistical Perspectives on Reliability of Artificial Intelligence Systems.

Yili Hong, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng

CoRR, 2021

Selective Targeted Transfer Learning for Malware Classification.

Priyanka Aggarwal, Sayyed Farid Ahamed, Sachin Shetty, Laura J. Freeman

Proceedings of the 3rd IEEE International Conference on Trust, 2021

Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents.

Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura J. Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch

Proceedings of the 16th International Conference of System of Systems Engineering, 2021

Combinatorial Testing Metrics for Machine Learning.

Erin Lanus, Laura J. Freeman, D. Richard Kuhn, Raghu N. Kacker

Proceedings of the 14th IEEE International Conference on Software Testing, 2021

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks.

Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty, Erin Lanus, Laura J. Freeman

Proceedings of the IEEE Global Communications Conference, 2021

Graph Neural Networks for Modeling Causality in International Trade.

Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura J. Freeman, Feras A. Batarseh

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks.

Feras A. Batarseh, Dominick Perini, Qasim Wani, Laura J. Freeman

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Developing Hierarchies for Image Classification Model Evaluation.

Sami Wood, Erin Lanus, Daniel D. Doyle, Jeremy Ogorzalek, Christopher T. Franck, Laura J. Freeman

Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2020

Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments.

Jiayi Lian, Laura J. Freeman, Yili Hong, Xinwei Deng

CoRR, 2020

2019

Analysis of split-plot reliability experiments with subsampling.

Rebecca M. Medlin, Laura J. Freeman, Jennifer L. K. Kensler, G. Geoffrey Vining

Qual. Reliab. Eng. Int., 2019

Power approximations for failure-time regression models.

Thomas H. Johnson, Rebecca M. Medlin, Laura J. Freeman

Qual. Reliab. Eng. Int., 2019

Special Issue: Advancing Statistical Methods for Testing and Evaluating Defense Systems.

Laura J. Freeman

Qual. Reliab. Eng. Int., 2019

2016

Regularization for Continuously Observed Ordinal Response Variables with Piecewise-constant Functional Covariates.

Matthew Avery, Mark Orndorff, Timothy J. Robinson, Laura J. Freeman

Qual. Reliab. Eng. Int., 2016

2014

A Comparison of Ballistic Resistance Testing Techniques in the Department of Defense.

Thomas H. Johnson, Laura J. Freeman, Janice Hester, Jonathan L. Bell

IEEE Access, 2014

2013

Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling.

Laura J. Freeman, G. Geoffrey Vining

Qual. Reliab. Eng. Int., 2013

Predicting Spending Behavior Using Socio-mobile Features.

Vivek K. Singh, Laura J. Freeman, Bruno Lepri, Alex Pentland

Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013