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A Performance Characterization of Scientific Machine Learning Workflows
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A Performance Characterization of Scientific Machine Learning Workflows (2021)A Performance Characterization of Scienti…Workflows Community Summit: Bringing the Scientific Workflows Community Together (2021)Workflows Community Summit: B…End-to-end online performance data capture and analysis for scientific workflows (2020)End-to-end online performance…CrisisMMD: Multimodal Twitter Datasets from Natural Disasters (2018)CrisisMMD: Multimodal Twitter…CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research (2018)CANDLE/Supervisor: a workflow…Singularity: Scientific containers for mobility of compute (2017)Singularity: Scientific conta…Nextflow enables reproducible computational workflows (2017)Nextflow enables reproducible…Rethinking data management for big data scientific workflows (2013)Rethinking data management fo…Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Kepler: an extensible system for design and execution of scientific workflows (2004)Taverna, Reloaded (2010)HUBzero and Pegasus: integrating scientific workflows into science gateways (2014)Analyzing related raw data files through dataflows (2015)An Adaptable Big Data Value Chain Framework for End-to-End Big Data Monetization (2020)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)Snakemake—a scalable bioinformatics workflow engine (2012)Reproducibility: A tragedy of errors (2016)The nf-core framework for community-curated bioinformatics pipelines (2020)Sustainable data analysis with Snakemake (2021)The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024 (2024)Microblogging during two natural hazards events (2010)Social media and disasters: a functional framework for social media use in disaster planning, response, and research (2014)Processing Social Media Messages in Mass Emergency (2015)Social media for intelligent public information and warning in disasters: An interdisciplinary review (2019)A Hybrid Machine Learning Pipeline for Automated Mapping of Events and Locations From Social Media in Disasters (2020)Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions (2020)Workflows For E-Science: Scientific Workflows For Grids (2007)Characterizing and profiling scientific workflows (2012)A global reference for human genetic variation (2015)FAIRSCAPE: a Framework for FAIR and Reproducible Biomedical Analytics (2021)Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making (2023)Graph neural networks for detecting anomalies in scientific workflows (2023)A characterization of workflow management systems for extreme-scale applications (2017)The future of scientific workflows (2017)FAIR Computational Workflows (2019)ExaWorks: Workflows for Exascale (2021)Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development (2021)A terminology for scientific workflow systems (2025)Bioconda: sustainable and comprehensive software distribution for the life sciences (2018)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update (2018)DLHub: Model and Data Serving for Science (2019)DLHub: Simplifying publication, discovery, and use of machine learning models in science (2020)A Community Roadmap for Scientific Workflows Research and Development (2021)
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References

  • 2017Nextflow enables reproducible computational workflows3,985 cited
  • 2017Singularity: Scientific containers for mobility of compute2,734 cited
  • 2018CrisisMMD: Multimodal Twitter Datasets from Natural Disasters389 cited
  • 2018CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research83 cited
  • 2013Rethinking data management for big data scientific workflows32 cited
  • 2021Workflows Community Summit: Bringing the Scientific Workflows Community Together26 cited
  • 2020End-to-end online performance data capture and analysis for scientific workflows19 cited

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