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Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges
16 references·0 citing·35 second hop
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges (2021)Exploring the Role of Machine Learning in…CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research (2018)CANDLE/Supervisor: a workflow…Accelerating Human-in-the-loop Machine Learning (2018)Accelerating Human-in-the-loo…Enhancing reproducibility for computational methods (2016)Enhancing reproducibility for…FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)FireWorks: a dynamic workflow…Big Data, new epistemologies and paradigm shifts (2014)Big Data, new epistemologies …Big Data Deep Learning: Challenges and Perspectives (2014)Big Data Deep Learning: Chall…OpenMOLE, a workflow engine specifically tailored for the distributed exploration of simulation models (2013)OpenMOLE, a workflow engine s…Combining in-situ and in-transit processing to enable extreme-scale scientific analysis (2012)Combining in-situ and in-tran…Characterizing and profiling scientific workflows (2012)Characterizing and profiling …PreDatA – preparatory data analytics on peta-scale machines (2010)PreDatA – preparatory data an…myExperiment: a repository and social network for the sharing of bioinformatics workflows (2010)myExperiment: a repository an…Computational solutions to large-scale data management and analysis (2010)Computational solutions to la…Workflows and e-Science: An overview of workflow system features and capabilities (2008)Workflows and e-Science: An o…Constraint-based workflow management systems:shifting control to users (2008)Constraint-based workflow man…The Triana Workflow Environment: Architecture and Applications (2007)The Triana Workflow Environme…Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Taverna: a tool for the compo…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)pyiron: An integrated development environment for computational materials science (2019)AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance (2020)Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows (2020)Big data: The next frontier for innovation, competition, and productivity (2011)A survey on deep learning for big data (2017)Machine learning on big data: Opportunities and challenges (2017)Machine Learning With Big Data: Challenges and Approaches (2017)THE STRUCTURE OF SCIENTIFIC REVOLUTIONS (1963)The Structure of Scientific Revolutions (1963)CRITICAL QUESTIONS FOR BIG DATA (2012)Algorithmic regulation: A critical interrogation (2017)Working and organizing in the age of the learning algorithm (2018)A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022)Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Taverna: a tool for building and running workflows of services (2006)The design and realisation of the Virtual Research Environment for social sharing of workflows (2008)Tavaxy: Integrating Taverna and Galaxy workflows with cloud computing support (2012)Scientific workflows for bibliometrics (2016)Scientific workflows: Past, present and future (2017)Promoting an open research culture (2015)Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)FAIR Computational Workflows (2019)Efficient lineage tracking for scientific workflows (2008)Elastic Business Process Management: State of the art and open challenges for BPM in the cloud (2014)A characterization of workflow management systems for extreme-scale applications (2017)CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing (2011)Big Data and supply chain management: a review and bibliometric analysis (2016)Creating value from Social Big Data: Implications for Smart Tourism Destinations (2017)Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)The future of scientific workflows (2017)Geospatial Cyberinfrastructure: Past, present and future (2010)Reproducibility in Scientific Computing (2018)Ten Simple Rules for Reproducible Computational Research (2013)
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References

  • 2014Big Data, new epistemologies and paradigm shifts2,351 cited
  • 2004Taverna: a tool for the composition and enactment of bioinformatics workflows1,602 cited
  • 2014Big Data Deep Learning: Challenges and Perspectives1,255 cited
  • 2008Workflows and e-Science: An overview of workflow system features and capabilities832 cited
  • 2012Characterizing and profiling scientific workflows793 cited
  • 2010Computational solutions to large-scale data management and analysis631 cited
  • 2015FireWorks: a dynamic workflow system designed for high‐throughput applications548 cited
  • 2016Enhancing reproducibility for computational methods413 cited
  • 2010myExperiment: a repository and social network for the sharing of bioinformatics workflows299 cited
  • 2007The Triana Workflow Environment: Architecture and Applications240 cited
  • 2012Combining in-situ and in-transit processing to enable extreme-scale scientific analysis187 cited
  • 2008Constraint-based workflow management systems:shifting control to users176 cited
  • 2010PreDatA – preparatory data analytics on peta-scale machines160 cited
  • 2013OpenMOLE, a workflow engine specifically tailored for the distributed exploration of simulation models123 cited
  • 2018

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Accelerating Human-in-the-loop Machine Learning
120 cited
  • 2018CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research83 cited
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