5 Matching Annotations
  1. Sep 2022
  2. Local file Local file
    Continued Fractions
    1
    1. chrisaldrich 28 Sep 2022
      A . Y A . K H I N C H I N

      Aleksandr Yakovlevich Khinchin https://en.wikipedia.org/wiki/Aleksandr_Khinchin

      black and white headshot Khinchin, a white man who presents as ghostly and perhaps a bit gaunt

      mathematicians probability theory real analysis number theory Luzin school A. Ya. Khinchin

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  3. Aug 2022
  4. pol.is pol.is
    Polis
    1
    1. chaeyeonlim 26 Aug 2022

      Polis. (n.d.). Retrieved April 26, 2022, from https://pol.is/home

      is:website lang:en polis real-time gathering analysis machine learning statistics government academic media citizen open source system tool
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    pol.is/home
  5. Aug 2020
  6. www.medrxiv.org www.medrxiv.org
    Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers
    1
    1. ErikStuchly 28 Aug 2020

      Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871

      is:article lang:en COVID-19 data analysis R Time-varying reproduction number Italy Spain symptom dynamics real time-series onset
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    medrxiv.org/content/10.1101/2020.06.26.20140871v1
  7. Apr 2020
  8. psyarxiv.com psyarxiv.com
    Use of Internet data to track Chinese behavior and interest in COVID-19
    1
    1. edampf 27 Apr 2020

      Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q

      is:preprint COVID-19 lang:en China Baidu index internet data public health prevention information real-time trend analysis search geographic information demographics Wuhan tracking online behavior concern decision making education policy behavioral science
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    psyarxiv.com/j6m8q/
  9. doi.org doi.org
    COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms
    1
    1. edampf 23 Apr 2020

      Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 Epidemic Analysis using Machine Learning and Deep Learning Algorithms [Preprint]. Health Informatics. https://doi.org/10.1101/2020.04.08.20057679

      is:preprint lang:en COVID-19 machine learning deep learning algorithm analysis epidemiology transmission AI artificial intelligence data sharing data modeling prediction future real-time information Johns Hopkins dashboard
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    doi.org/10.1101/2020.04.08.20057679