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A machine learning approach for modular workflow performance prediction.

, , , and . WORKS@SC, page 7:1-7:11. ACM, (2017)

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Integrated Machine Learning in the Kepler Scientific Workflow System., , , and . ICCS, volume 80 of Procedia Computer Science, page 2443-2448. Elsevier, (2016)Automation of Network-Based Scientific Workflows., , , , , , , , , and 5 other author(s). Grid-Based Problem Solving Environments, volume 239 of IFIP, page 35-61. Springer, (2006)PAISE 2019 Keynote Speaker.. IPDPS Workshops, page 876. IEEE, (2019)Modular performance prediction for scientific workflows using Machine Learning., , , and . Future Gener. Comput. Syst., (2021)Multimodal Wildland Fire Smoke Detection., , , , , , , , , and 5 other author(s). Remote. Sens., 15 (11): 2790 (2023)From computation models to models of provenance: the RWS approach., , , , and . Concurr. Comput. Pract. Exp., 20 (5): 507-518 (2008)A machine learning approach for modular workflow performance prediction., , , and . WORKS@SC, page 7:1-7:11. ACM, (2017)Perspectives on automated composition of workflows in the life sciences., , , , , , , , , and 22 other author(s). F1000Research, (2021)Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D., , , , , , , , , and 10 other author(s). AI Mag., 43 (1): 93-104 (2022)Toward a Methodology and Framework for Workflow-Driven Team Science., , , , and . Comput. Sci. Eng., 21 (4): 37-48 (2019)