Laura J. Freeman

53 papers B 1C 2Misc 3Journal 32Unranked 15
YearRankTypeTitle / Venue / Authors
2025 — conf
Coverage for Detecting Bias in Facial Recognition Datasets.
CAI
Sakshi Mhatre, Brian Lee, Erin Lanus, Laura J. Freeman
2025 — conf
Data Frequency Coverage Impact on AI Performance.
ICSTW
Erin Lanus, Brian Lee, Jaganmohan Chandrasekaran, Laura J. Freeman, M. S. Raunak, Raghu N. Kacker, D. Richard Kuhn
2025 — conf
Evaluating Large Language Model Robustness using Combinatorial Testing.
ICSTW
Jaganmohan Chandrasekaran, Ankita Ramjibhai Patel, Erin Lanus, Laura J. Freeman
2025 C conf
Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation.
ICMLA
Erin Lanus, Daniel Wolodkin, Laura J. Freeman
2025 J jnl
Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation.
CoRR
Erin Lanus, Daniel Wolodkin, Laura J. Freeman
2025 J jnl
Probabilistic Models for Military Kill Chains.
Syst.
Stephen Adams, Alex Kyer, Brian Lee, Dan Sobien, Laura J. Freeman, Jeremy Werner
2025 — conf
The Impact of Generative AI on Test & Evaluation: Challenges and Opportunities.
SIGSOFT FSE Companion
Laura J. Freeman, John Robert, Heather Wojton
2024 J jnl
Assured Autonomy Through Combinatorial Methods.
Computer
D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman
2024 J jnl
Continual learning and its industrial applications: A selective review.
WIREs Data. Mining. Knowl. Discov.
J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024 — conf
Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes.
ICSTW
Erin Lanus, Brian Lee, Luis Pol, Daniel Sobien, Justin A. Kauffman, Laura J. Freeman
2024 — conf
Data Composition for Continual Learning in Application of Cyberattack Detection.
ASONAM (4)
Jiayi Lian, Xueying Liu, Kevin Choi, Balaji Veeramani, Sathvik Murli, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2024 J jnl
Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS.
CoRR
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
2024 J jnl
Leveraging Combinatorial Coverage in the Machine Learning Product Lifecycle.
Computer
Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman, Raghu N. Kacker, M. S. Raunak, D. Richard Kuhn
2023 J jnl
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning.
CoRR
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner
2023 J jnl
Active Learning with Combinatorial Coverage.
CoRR
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
2023 J jnl
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data.
CoRR
Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman
2023 — conf
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error.
ICSTW
Tyler Cody, Laura J. Freeman
2023 J jnl
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error.
CoRR
Tyler Cody, Laura J. Freeman
2023 J jnl
Rationalization for Explainable NLP: A Survey.
CoRR
Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura J. Freeman, Feras A. Batarseh
2023 J jnl
Review: Is design data collection still relevant in the big data era? With extensions to machine learning.
Qual. Reliab. Eng. Int.
Laura J. Freeman
2023 J jnl
Test & Evaluation Best Practices for Machine Learning-Enabled Systems.
CoRR
Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman
2023 J jnl
Whole Campaign Emulation with Reinforcement Learning for Cyber Test.
IEEE Instrum. Meas. Mag.
Tyler Cody, Emma Meno, Peter A. Beling, Laura J. Freeman
2022 C conf
Active Learning with Combinatorial Coverage.
ICMLA
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
2022 J jnl
Detecting technological maturity from bibliometric patterns.
Expert Syst. Appl.
Katherine Cauthen, Prashant Rai, Nicholas Hale, Laura J. Freeman, Jaideep Ray
2022 J jnl
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm.
CoRR
J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng
2022 Misc conf
Enabling AI Adoption through Assurance.
FLAIRS
Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, M. S. Raunak, Rick Kuhn
2022 J jnl
Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space.
Mach. Learn. Knowl. Extr.
Daniel Sobien, Erik Higgins, Justin Krometis, Justin A. Kauffman, Laura J. Freeman
2022 — conf
On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems.
COINS
Tyler Cody, Stephen C. Adams, Peter A. Beling, Laura J. Freeman
2022 — conf
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing.
ICST Workshops
Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
2022 J jnl
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing.
CoRR
Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
2022 J jnl
The Path to a Consensus on Artificial Intelligence Assurance.
Computer
Laura J. Freeman, Feras A. Batarseh, D. Richard Kuhn, M. S. Raunak, Raghu N. Kacker
2022 Misc conf
Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems.
FLAIRS
Wan-Yi Mao, Mehmet Yardimci, Minh Nguyen, Dan Sobien, Laura J. Freeman, Feras A. Batarseh, Abdul Rahman, Vinita Fordham
2021 J jnl
A Survey on AI Assurance.
CoRR
Feras A. Batarseh, Laura J. Freeman
2021 J jnl
A survey on artificial intelligence assurance.
J. Big Data
Feras A. Batarseh, Laura J. Freeman, Chih-Hao Huang
2021 B conf
ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks.
GLOBECOM
Sayyed Farid Ahamed, Priyanka Aggarwal, Sachin Shetty, Erin Lanus, Laura J. Freeman
2021 J jnl
Circular prediction regions for miss distance models under heteroskedasticity.
Qual. Reliab. Eng. Int.
Thomas H. Johnson, John T. Haman, Heather Wojton, Laura J. Freeman
2021 — conf
Combinatorial Testing Metrics for Machine Learning.
ICST Workshops
Erin Lanus, Laura J. Freeman, D. Richard Kuhn, Raghu N. Kacker
2021 — conf
Developing Hierarchies for Image Classification Model Evaluation.
AI4I
Sami Wood, Erin Lanus, Daniel D. Doyle, Jeremy Ogorzalek, Christopher T. Franck, Laura J. Freeman
2021 — conf
Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks.
AI*IA
Feras A. Batarseh, Dominick Perini, Qasim Wani, Laura J. Freeman
2021 Misc conf
Graph Neural Networks for Modeling Causality in International Trade.
FLAIRS
Anderson Monken, Flora Haberkorn, Munisamy Gopinath, Laura J. Freeman, Feras A. Batarseh
2021 — conf
Selective Targeted Transfer Learning for Malware Classification.
TPS-ISA
Priyanka Aggarwal, Sayyed Farid Ahamed, Sachin Shetty, Laura J. Freeman
2021 J jnl
Statistical Perspectives on Reliability of Artificial Intelligence Systems.
CoRR
Yili Hong, Jiayi Lian, Li Xu, Jie Min, Yueyao Wang, Laura J. Freeman, Xinwei Deng
2021 — conf
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents.
SoSE
Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura J. Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch
2021 J jnl
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents.
CoRR
Erin Lanus, Ivan Hernandez, Adam Dachowicz, Laura J. Freeman, Melanie Grande, Andrew Lang, Jitesh H. Panchal, Anthony Patrick, Scott Welch
2021 J jnl
Trustworthy AI for Digital Engineering Transformation.
J. Integr. Des. Process. Sci.
Jingwei Huang, Peter A. Beling, Laura J. Freeman, Yong Zeng
2020 J jnl
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments.
CoRR
Jiayi Lian, Laura J. Freeman, Yili Hong, Xinwei Deng
2019 J jnl
Analysis of split-plot reliability experiments with subsampling.
Qual. Reliab. Eng. Int.
Rebecca M. Medlin, Laura J. Freeman, Jennifer L. K. Kensler, G. Geoffrey Vining
2019 J jnl
Power approximations for failure-time regression models.
Qual. Reliab. Eng. Int.
Thomas H. Johnson, Rebecca M. Medlin, Laura J. Freeman
2019 J jnl
Special Issue: Advancing Statistical Methods for Testing and Evaluating Defense Systems.
Qual. Reliab. Eng. Int.
Laura J. Freeman
2016 J jnl
Regularization for Continuously Observed Ordinal Response Variables with Piecewise-constant Functional Covariates.
Qual. Reliab. Eng. Int.
Matthew Avery, Mark Orndorff, Timothy J. Robinson, Laura J. Freeman
2014 J jnl
A Comparison of Ballistic Resistance Testing Techniques in the Department of Defense.
IEEE Access
Thomas H. Johnson, Laura J. Freeman, Janice Hester, Jonathan L. Bell
2013 — conf
Predicting Spending Behavior Using Socio-mobile Features.
SocialCom
Vivek K. Singh, Laura J. Freeman, Bruno Lepri, Alex Pentland
2013 J jnl
Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling.
Qual. Reliab. Eng. Int.
Laura J. Freeman, G. Geoffrey Vining