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Vamsa: Automated Provenance Tracking in Data Science Scripts
4 references·6 citing·38 second hop
Vamsa: Automated Provenance Tracking in Data Science Scripts (2020)Vamsa: Automated Provenance Tracking in D…Exploration and Explanation in Computational Notebooks (2018)Exploration and Explanation i…ModelHub: Deep Learning Lifecycle Management (2017)ModelHub: Deep Learning Lifec…YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts (2015)YesWorkflow: A User-Oriented,…Provenance in Scientific Workflow Systems (2007)Provenance in Scientific Work…DLProv: a suite of provenance services for deep learning workflow analyses (2025)DLProv: a suite of provenance…Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance (2024)Supporting Better Insights of…DLProv: A Data-Centric Support for Deep Learning Workflow Analyses (2024)DLProv: A Data-Centric Suppor…Capturing end-to-end provenance for machine learning pipelines (2024)Capturing end-to-end provenan…Deep Learning Provenance Data Integration: a Practical Approach (2023)Deep Learning Provenance Data…Workflow provenance in the lifecycle of scientific machine learning (2021)Workflow provenance in the li…Bioconductor: open software development for computational biology and bioinformatics (2004)Scientific workflow management and the Kepler system (2005)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)A Templating System to Generate Provenance (2017)noWorkflow (2017)Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems (2021)Chimera: a virtual data system for representing, querying, and automating data derivation (2002)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)A survey of data provenance in e-science (2005)Provenance in Databases: Past, Current, and Future (2007)Scientific workflows: Past, present and future (2017)DataHub: Collaborative Data Science & Dataset Version Management at Scale (2014)M odel DB (2016)MODELDB: A System for Machine Learning Model Management. (2017)MODELDB: Opportunities and Challenges in Managing Machine Learning Models. (2018)LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems (2021)The WyCash portfolio management system (1992)Reproducible Research in Computational Science (2011)Does high public debt consistently stifle economic growth? A critique of Reinhart and Rogoff (2013)A Large-Scale Study About Quality and Reproducibility of Jupyter Notebooks (2019)Human-AI Collaboration in Data Science (2019)Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks (2019)Provenance and scientific workflows (2008)A survey on provenance: What for? What form? What from? (2017)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability (2023)PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows (2025)Komadu: A Capture and Visualization System for Scientific Data Provenance (2015)Management of Machine Learning Lifecycle Artifacts (2023)Putting lipstick on pig (2011)Big data preprocessing: methods and prospects (2016)Fairness is not static (2020)Hesaplamalı Arşiv Bilimi ile Görüntü Sınıflandırma ve Dijital Provenans (2025)Developments in MLflow (2020)Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI (2024)MEX vocabulary (2015)Provenance for Computational Tasks: A Survey (2008)Data Lifecycle Challenges in Production Machine Learning (2018)
this work references cited by second hop

References

  • 2018Exploration and Explanation in Computational Notebooks343 cited
  • 2007Provenance in Scientific Workflow Systems168 cited
  • 2015YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts103 cited
  • 2017ModelHub: Deep Learning Lifecycle Management61 cited

Cited by

  • 2021Workflow provenance in the lifecycle of scientific machine learning46 cited
  • 2024Capturing end-to-end provenance for machine learning pipelines27 cited
  • 2024DLProv: A Data-Centric Support for Deep Learning Workflow Analyses17 cited
  • 2024Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance15 cited
  • 2025DLProv: a suite of provenance services for deep learning workflow analyses12 cited
  • 2023Deep Learning Provenance Data Integration: a Practical Approach9 cited

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