A Layered Quality Framework for Machine Learning-driven Data and Information Models

Author:

Azimi Shelernaz1,Pahl Claus1

Affiliation:

1. Free University of Bozen - Bolzano, Bolzano, Italy, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High cycle fatigue life prediction of titanium alloys based on a novel deep learning approach;International Journal of Fatigue;2024-05

2. A Systematic Review of Data Quality in CPS and IoT for Industry 4.0;ACM Computing Surveys;2023-07-17

3. Democratizing Quality-Based Machine Learning Development through Extended Feature Models;Fundamental Approaches to Software Engineering;2023

4. Quality-driven machine learning-based data science pipeline realization;Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings;2022-05-21

5. Quality-Driven Machine Learning-based Data Science Pipeline Realization: a software engineering approach;2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2022-05

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