Results 301 to 310 of about 1,628,849 (334)
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Automatically Curated Data Sets
2019 19th International Working Conference on Source Code Analysis and Manipulation (SCAM), 2019o validate hypotheses and tools that depend on the semantics of software, it is necessary to assemble, prepare and maintain (i.e. curate) large, high-quality corpora of executable software systems exhibiting certain desired behavior and/or properties. Today this is a highly tedious and laborious activity requiring significant human time and effort.
Kessel, Marcus, Atkinson, Colin
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Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, 2022
Machine learning (ML) algorithms have shown great potential in edge-computing environments, however, the literature mainly focuses on model inference only. We investigate how ML can be operationalized and how in-situ curation can improve the quality of edge applications, in the context of ML-assisted environmental surveys.
Kusy, Brano +13 more
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Machine learning (ML) algorithms have shown great potential in edge-computing environments, however, the literature mainly focuses on model inference only. We investigate how ML can be operationalized and how in-situ curation can improve the quality of edge applications, in the context of ML-assisted environmental surveys.
Kusy, Brano +13 more
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2020
This dataset is used for the LSCI 391 Data Curation class at MSU. This dataset includes analytics on more than 7,000 apps in the Apple App Store.
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This dataset is used for the LSCI 391 Data Curation class at MSU. This dataset includes analytics on more than 7,000 apps in the Apple App Store.
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Digital Data Curation Essentials for Data Scientists and Data Curators and Librarians
Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries, 2015This paper describes a detailed description of a full-day data digital curation tutorial held at JCDL'15.
Helen R. Tibbo, Carolyn Hank
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2016
With the emergence of data environments with growing data variety and volume, organizations need to be supported by processes and technologies that allow them to produce and maintain high-quality data facilitating data reuse, accessibility, and analysis.
André Freitas, Edward Curry
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With the emergence of data environments with growing data variety and volume, organizations need to be supported by processes and technologies that allow them to produce and maintain high-quality data facilitating data reuse, accessibility, and analysis.
André Freitas, Edward Curry
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Data Curation: Improving Environmental Health Data Quality
2015With the growing recognition of the influence of climate change on human health, scientists' attention to analyzing the relationship between meteorological factors and adverse health effects. However, the paucity of high quality integrated data is one of the great challenges, especially when scientific studies rely on data-intensive computing.
Lin, Yang, Jiao, Li, Li, Hou, Qing, Qian
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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