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Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection

Yiyue Qian, Yiming Zhang (January 2021, IJCAI)
null (Ed.)
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An open developmental science will be more rigorous, robust, and impactful

https://doi.org/10.1002/icd.2254

Gilmore, Rick O.; Qian, Yiming (June 2021, Infant and Child Development)

Abstract Developmental science poses some of the most profound problems in all of science and some of the most difficult ones. Because the answers are so important to human health and well‐being, it's essential that researchers do everything possible to accelerate discovery and promote reproducibility and rigour. In this essay, we argue that fully embracing open practices—especially data and materials sharing—will achieve the goals of making developmental science more rigorous, robust, and impactful while simultaneously accelerating discovery.
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The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

https://doi.org/10.1038/s41597-019-0073-y

Avesani, Paolo; McPherson, Brent; Hayashi, Soichi; Caiafa, Cesar F.; Henschel, Robert; Garyfallidis, Eleftherios; Kitchell, Lindsey; Bullock, Daniel; Patterson, Andrew; Olivetti, Emanuele; et al (December 2019, Scientific Data)

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