- Aug 2023
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www.adamsmith.org www.adamsmith.org
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- Dec 2021
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www.nature.com www.nature.com
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Replicating scientific results is tough—But essential. (2021). Nature, 600(7889), 359–360. https://doi.org/10.1038/d41586-021-03736-4
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- May 2021
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Trovò, B., & Massari, N. (2021). Ants-Review: A Protocol for Incentivized Open Peer-Reviews on Ethereum. ArXiv:2101.09378 [Cs]. http://arxiv.org/abs/2101.09378
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- Jun 2020
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doi.org doi.org
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Horbach, S. P. J. M. (2020). Pandemic Publishing: Medical journals drastically speed up their publication process for Covid-19. BioRxiv, 2020.04.18.045963. https://doi.org/10.1101/2020.04.18.045963
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- Apr 2020
- Nov 2018
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iphysresearch.github.io iphysresearch.github.io
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Deep learning for time series classification: a review
这个文与我的课题貌似相当相关！
准备好好写一个 Paper Summary 为好~
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Model Selection Techniques -- An Overview
一篇关于模型选择的综述文章。涉及信号处理，图像处理等等多方面数据信息的处理。发表在信号处理的期刊杂志上。
文中关于模型选择的大概念方向，和数学表示，是值得好好阅读的。
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- May 2016
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science.sciencemag.org science.sciencemag.org
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the median review time at journals has grown from 85 days to >150 days during the past decade (5)
This statement is a misunderstanding of Powell 2016, which states:
At Nature, the median review time has grown from 85 days to just above 150 days over the past decade, according to Himmelstein's analysis.
However,
the median review time — the time between submission and acceptance of a paper — has hovered at around 100 days for more than 30 years.
So while the median review time at Nature has gone from 85 to 150 days, this is not the case for all journals. See also the related Tweet.
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