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Found 6 papers, 3 papers with code
An Empirical Study of the Relationships between Code Readability and Software Complexity
Code readability and software complexity are important software quality metrics that impact other software metrics such as maintainability, reusability, portability and reliability.
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning
Our results show that active learning allows us to discover significantly more anomalies than state-of-the-art unsupervised baselines, our batch active learning algorithm discovers diverse anomalies, and our algorithms under the streaming-data setup are competitive with the batch setup.
GLAD: GLocalized Anomaly Detection via Human-in-the-Loop Learning
Human analysts that use anomaly detection systems in practice want to retain the use of simple and explainable global anomaly detectors.
Active Anomaly Detection via Ensembles
First, we present an important insight into how anomaly detector ensembles are naturally suited for active learning.
Preference-Guided Planning: An Active Elicitation Approach
Planning with preferences has been employed extensively to quickly generate high-quality plans.
Towards Problem Solving Agents that Communicate and Learn
Agents that communicate back and forth with humans to help them execute non-linguistic tasks are a long sought goal of AI.
