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Understanding Collaborative Studies through Interoperable Workflow Provenance.

, , , , , , , , and . IPAW, volume 6378 of Lecture Notes in Computer Science, page 42-58. Springer, (2010)

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A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows., and . IPAW, volume 5272 of Lecture Notes in Computer Science, page 152-159. Springer, (2008)Automating the Evaluation of Datasets for FAIR and CARE Principles., , , , and . e-Science, page 1-2. IEEE, (2023)An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis., , , , , , , and . eScience, page 9-18. IEEE Computer Society, (2017)Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires., , , , , , , , , and 2 other author(s). ICCS, volume 51 of Procedia Computer Science, page 1633-1642. Elsevier, (2015)Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure., , , , , , , , , and . IPDPS Workshops, page 865-873. IEEE, (2019)Towards A Methodology and Framework for Workflow-Driven Team Science., , , , and . CoRR, (2019)Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery., , , , , , , and . UCC Companion, page 142-147. IEEE, (2018)Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning., , , , and . IEEE BigData, page 1203-1212. IEEE Computer Society, (2017)Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing., , , , and . IEEE BigData, page 5437-5443. IEEE, (2019)Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction., , , , and . IEEE Big Data, page 1681-1690. IEEE, (2022)