Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models

Research article (2019 34th IEEE/ACM International Conference on Automated Software Engineering Workshop (ASEW), 2019) · cited 12× · AI/ML
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Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models

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Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/don-t-forget-your-roots-using-provenance-data-for-transparent-and-explainable-development-of-machine-learning-models
MLA “Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/don-t-forget-your-roots-using-provenance-data-for-transparent-and-explainable-development-of-machine-learning-models.
BibTeX @misc{4ortxyz_don-t-forget-your-roots-using-provenance-data-for-transparent-and-explainable-development-of-machine-learning-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models}}, year = {2026}, url = {https://4ort.xyz/entity/don-t-forget-your-roots-using-provenance-data-for-transparent-and-explainable-development-of-machine-learning-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models — https://4ort.xyz/entity/don-t-forget-your-roots-using-provenance-data-for-transparent-and-explainable-development-of-machine-learning-models (retrieved 2026-05-24)

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