{"total":18,"rows":[{"id":"2211.16444","title":"Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare","created":"2022-11-29","cited_by_count":9,"area":null},{"id":"2108.05319","title":"Machine Learning Model Drift Detection Via Weak Data Slices","created":"2021-08-11","cited_by_count":6,"area":null},{"id":"2406.19765","title":"Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration","created":"2024-06-28","cited_by_count":6,"area":null},{"id":"2310.06800","title":"Test & Evaluation Best Practices for Machine Learning-Enabled Systems","created":"2023-10-10","cited_by_count":4,"area":null},{"id":"2305.12695","title":"Systematic Literature Review on Application of Machine Learning in Continuous Integration","created":"2023-05-22","cited_by_count":2,"area":null},{"id":"2305.17750","title":"Reliable and Interpretable Drift Detection in Streams of Short Texts","created":"2023-05-28","cited_by_count":2,"area":null},{"id":"2107.00191","title":"Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection","created":"2021-07-01","cited_by_count":1,"area":null},{"id":"2110.12506","title":"Detecting model drift using polynomial relations","created":"2021-10-24","cited_by_count":1,"area":null},{"id":"2401.17737","title":"Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation","created":"2024-01-31","cited_by_count":1,"area":null},{"id":"2402.07258","title":"Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models","created":"2024-02-11","cited_by_count":1,"area":null},{"id":"2111.05136","title":"Using sequential drift detection to test the API economy","created":"2021-11-09","cited_by_count":0,"area":null},{"id":"2112.07286","title":"Levels of Autonomous Radiology","created":"2021-12-14","cited_by_count":0,"area":null},{"id":"2112.08940","title":"Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance","created":"2021-12-13","cited_by_count":0,"area":null},{"id":"2201.00355","title":"Theory and Practice of Quality Assurance for Machine Learning Systems An Experiment Driven Approach","created":"2022-01-02","cited_by_count":0,"area":null},{"id":"2303.09056","title":"Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations","created":"2023-03-16","cited_by_count":0,"area":null},{"id":"2505.10325","title":"A Representation Learning Approach to Feature Drift Detection in Wireless Networks","created":"2025-05-15","cited_by_count":0,"area":null},{"id":"2509.10560","title":"GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2607.21623","title":"Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees","created":"2026-07-04","cited_by_count":0,"area":null}],"next_cursor":null}