Predicting Spending Behavior Using Socio-mobile Features. - Vivek K. Singh 001; Laura J. Freeman; Bruno Lepri; Alex Pentland (SocialCom, 2013)

Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling. - Laura J. Freeman; G. Geoffrey Vining (Qual. Reliab. Eng. Int., 2013)

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)

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)

Special Issue: Advancing Statistical Methods for Testing and Evaluating Defense Systems. - Laura J. Freeman (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)

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)

Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments. - Jiayi Lian; Laura J. Freeman; Yili Hong 001; Xinwei Deng (CoRR, 2020)

Developing Hierarchies for Image Classification Model Evaluation. - Sami Wood; Erin Lanus; Daniel D. Doyle; Jeremy Ogorzalek; Christopher T. Franck; Laura J. Freeman (AI4I, 2021)

Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks. - Feras A. Batarseh; Dominick Perini; Qasim Wani; Laura J. Freeman (AI*IA, 2021)

Graph Neural Networks for Modeling Causality in International Trade. - Anderson Monken; Flora Haberkorn; Munisamy Gopinath; Laura J. Freeman; Feras A. Batarseh (FLAIRS, 2021)

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks. - Sayyed Farid Ahamed; Priyanka Aggarwal; Sachin Shetty; Erin Lanus; Laura J. Freeman (GLOBECOM, 2021)

Combinatorial Testing Metrics for Machine Learning. - Erin Lanus; Laura J. Freeman; D. Richard Kuhn; Raghu N. Kacker (ICST Workshops, 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 (SoSE, 2021)

Selective Targeted Transfer Learning for Malware Classification. - Priyanka Aggarwal; Sayyed Farid Ahamed; Sachin Shetty; Laura J. Freeman (TPS-ISA, 2021)

Statistical Perspectives on Reliability of Artificial Intelligence Systems. - Yili Hong 001; Jiayi Lian; Li Xu; Jie Min; Yueyao Wang; Laura J. Freeman; Xinwei Deng (CoRR, 2021)

A Survey on AI Assurance. - Feras A. Batarseh; Laura J. Freeman (CoRR, 2021)

A survey on artificial intelligence assurance. - Feras A. Batarseh; Laura J. Freeman; Chih-Hao Huang (J. Big Data, 2021)

Trustworthy AI for Digital Engineering Transformation. - Jingwei Huang 002; Peter A. Beling; Laura J. Freeman; Yong Zeng 004 (J. Integr. Des. Process. Sci., 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)

On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems. - Tyler Cody; Stephen C. Adams; Peter A. Beling; Laura J. Freeman (COINS, 2022)

Enabling AI Adoption through Assurance. - Jaganmohan Chandrasekaran; Feras A. Batarseh; Laura J. Freeman; Raghu Kacker; M. S. Raunak 001; Rick Kuhn (FLAIRS, 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 (FLAIRS, 2022)

Active Learning with Combinatorial Coverage. - Sai Prathyush Katragadda; Tyler Cody; Peter A. Beling; Laura J. Freeman (ICMLA, 2022)

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. - Tyler Cody; Erin Lanus; Daniel D. Doyle; Laura J. Freeman (ICST Workshops, 2022)

The Path to a Consensus on Artificial Intelligence Assurance. - Laura J. Freeman; Feras A. Batarseh; D. Richard Kuhn; M. S. Raunak 001; Raghu N. Kacker (Computer, 2022)

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (CoRR, 2022)

Detecting technological maturity from bibliometric patterns. - Katherine Cauthen; Prashant Rai; Nicholas Hale; Laura J. Freeman; Jaideep Ray (Expert Syst. Appl., 2022)

Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space. - Daniel Sobien; Erik Higgins; Justin Krometis; Justin A. Kauffman; Laura J. Freeman (Mach. Learn. Knowl. Extr., 2022)

Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. - Tyler Cody; Laura J. Freeman (ICSTW, 2023)

Rationalization for Explainable NLP: A Survey. - Sai Gurrapu; Ajay Kulkarni; Lifu Huang; Ismini Lourentzou; Laura J. Freeman; Feras A. Batarseh (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)

Test & Evaluation Best Practices for Machine Learning-Enabled Systems. - Jaganmohan Chandrasekaran; Tyler Cody; Nicola McCarthy; Erin Lanus; Laura J. Freeman (CoRR, 2023)

Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data. - Li Xu; Yili Hong 001; Eric P. Smith; David S. McLeod; Xinwei Deng; Laura J. Freeman (CoRR, 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., 2023)

Whole Campaign Emulation with Reinforcement Learning for Cyber Test. - Tyler Cody; Emma Meno; Peter A. Beling; Laura J. Freeman (IEEE Instrum. Meas. Mag., 2023)

Data Composition for Continual Learning in Application of Cyberattack Detection. - Jiayi Lian; Xueying Liu; Kevin Choi; Balaji Veeramani; Sathvik Murli; Alison Hu; Laura J. Freeman; Edward Bowen; Xinwei Deng (ASONAM (4), 2024)

Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes. - Erin Lanus; Brian Lee; Luis Pol; Daniel Sobien; Justin A. Kauffman; Laura J. Freeman (ICSTW, 2024)

Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS. - 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 002 (CoRR, 2024)

Continual learning and its industrial applications: A selective review. - J. Lian; Kevin Choi; Balaji Veeramani; Alison Hu; Sathvik Murli; Laura J. Freeman; Edward Bowen; Xinwei Deng (WIREs Data. Mining. Knowl. Discov., 2024)

Assured Autonomy Through Combinatorial Methods. - D. Richard Kuhn; M. S. Raunak 001; Raghu N. Kacker; Jaganmohan Chandrasekaran; Erin Lanus; Tyler Cody; Laura J. Freeman (Computer, 2024)

Evaluating Large Language Model Robustness using Combinatorial Testing. - Jaganmohan Chandrasekaran; Ankita Ramjibhai Patel; Erin Lanus; Laura J. Freeman (ICSTW, 2025)

Data Frequency Coverage Impact on AI Performance. - Erin Lanus; Brian Lee; Jaganmohan Chandrasekaran; Laura J. Freeman; M. S. Raunak 001; Raghu N. Kacker; D. Richard Kuhn (ICSTW, 2025)

The Impact of Generative AI on Test & Evaluation: Challenges and Opportunities. - Laura J. Freeman; John Robert; Heather Wojton (SIGSOFT FSE Companion, 2025)

Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation. - Erin Lanus; Daniel Wolodkin; Laura J. Freeman (CoRR, 2025)