Laura J. Freeman

Orcid: 0000-0001-7108-3921

According to our database1, Laura J. Freeman authored at least 40 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Assured Autonomy Through Combinatorial Methods.
Computer, May, 2024

Continual learning and its industrial applications: A selective review.
WIREs Data. Mining. Knowl. Discov., 2024

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

Coverage for Identifying Critical Metadata in Machine Learning Operating Envelopes.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2024, 2024

2023
Whole Campaign Emulation with Reinforcement Learning for Cyber Test.
IEEE Instrum. Meas. Mag., August, 2023

Review: Is design data collection still relevant in the big data era? With extensions to machine learning.
Qual. Reliab. Eng. Int., June, 2023

Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data.
CoRR, 2023

Test & Evaluation Best Practices for Machine Learning-Enabled Systems.
CoRR, 2023

A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning.
CoRR, 2023

Rationalization for Explainable NLP: A Survey.
CoRR, 2023

Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error.
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.
Mach. Learn. Knowl. Extr., 2022

Detecting technological maturity from bibliometric patterns.
Expert Syst. Appl., 2022

Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm.
CoRR, 2022

The Path to a Consensus on Artificial Intelligence Assurance.
Computer, 2022

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing.
Proceedings of the 15th IEEE International Conference on Software Testing, 2022

Active Learning with Combinatorial Coverage.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Enabling AI Adoption through Assurance.
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.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
Circular prediction regions for miss distance models under heteroskedasticity.
Qual. Reliab. Eng. Int., 2021

Trustworthy AI for Digital Engineering Transformation.
J. Integr. Des. Process. Sci., 2021

A survey on artificial intelligence assurance.
J. Big Data, 2021

A Survey on AI Assurance.
CoRR, 2021

Statistical Perspectives on Reliability of Artificial Intelligence Systems.
CoRR, 2021

Selective Targeted Transfer Learning for Malware Classification.
Proceedings of the 3rd IEEE International Conference on Trust, 2021

Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents.
Proceedings of the 16th International Conference of System of Systems Engineering, 2021

Combinatorial Testing Metrics for Machine Learning.
Proceedings of the 14th IEEE International Conference on Software Testing, 2021

ATTL: An Automated Targeted Transfer Learning with Deep Neural Networks.
Proceedings of the IEEE Global Communications Conference, 2021

Graph Neural Networks for Modeling Causality in International Trade.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Explainable Artificial Intelligence for Technology Policy Making Using Attribution Networks.
Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Developing Hierarchies for Image Classification Model Evaluation.
Proceedings of the 4th International Conference on Artificial Intelligence for Industries, 2021

2020
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments.
CoRR, 2020

2019
Analysis of split-plot reliability experiments with subsampling.
Qual. Reliab. Eng. Int., 2019

Power approximations for failure-time regression models.
Qual. Reliab. Eng. Int., 2019

Special Issue: Advancing Statistical Methods for Testing and Evaluating Defense Systems.
Qual. Reliab. Eng. Int., 2019

2016
Regularization for Continuously Observed Ordinal Response Variables with Piecewise-constant Functional Covariates.
Qual. Reliab. Eng. Int., 2016

2014
A Comparison of Ballistic Resistance Testing Techniques in the Department of Defense.
IEEE Access, 2014

2013
Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling.
Qual. Reliab. Eng. Int., 2013

Predicting Spending Behavior Using Socio-mobile Features.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013


  Loading...