Search Results for author:
Found 8 papers, 0 papers with code
Test & Evaluation Best Practices for Machine Learning-Enabled Systems
This report presents best practices for the Test and Evaluation (T&E) of ML-enabled software systems across its lifecycle.
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error
Results show that coverage metrics can correlate with classification error.
Active Learning with Combinatorial Coverage
The proposed methods are data-centric, as opposed to model-centric, and through our experiments we show that the inclusion of coverage in active learning leads to sampling data that tends to be the best in transferring to better performing models and has a competitive sampling bias compared to benchmark methods.
Rationalization for Explainable NLP: A Survey
Recent improvements in natural language generation have made rationalization an attractive technique because it is intuitive, human-comprehensible, and accessible to non-technical users.
Explainable Artificial Intelligence (XAI)
Question Answering
+4
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing
In contrast to prior work which has focused on the use of coverage in regard to the internal of neural networks, this paper considers coverage over simple features derived from inputs and outputs.
A Survey on AI Assurance
Artificial Intelligence (AI) algorithms are increasingly providing decision making and operational support across multiple domains.
Test and Evaluation Framework for Multi-Agent Systems of Autonomous Intelligent Agents
Test and evaluation is a necessary process for ensuring that engineered systems perform as intended under a variety of conditions, both expected and unexpected.
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments
Artificial intelligent (AI) algorithms, such as deep learning and XGboost, are used in numerous applications including computer vision, autonomous driving, and medical diagnostics.
