Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project - researchr publication authors

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Joshua Valdez, Matthew Kim, Michael Rueschman, Susan Redline, Satya S. Sahoo. Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project. In Khalid Belhajjame, Ashish Gehani, Pinar Alper, editors, Provenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings. Volume 11017 of Lecture Notes in Computer Science, pages 30-41, Springer, 2018. [doi]

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