Presentations (Communicative Events)

Xifeng Yan: Interventional COVID-19 Response Forecasting in Local Communities Using Neural Domain Adaptation Models

Yan, Xifeng

This presentation was made by Xifeng Yan, University of California, Santa Barbara. The presentation’s title is: “Interventional COVID-19 Response Forecasting in Local Communities Using Neural Domain Adaptation Models.” Funded by NSF Division Of Electrical, Communications & Cyber Systems.

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Every month, the COVID Information Commons Team (along with the Northeast Big Data Innovation Hub) brings together a group of researchers studying wide-ranging aspects of the current pandemic, to share their research and answer questions from our community. The events showcase scientists' ongoing efforts in the fight against COVID-19, including opportunities for collaboration.

Files

  • thumnail for Xifeng Yan, University of California Santa Barbara.docx.pdf Xifeng Yan, University of California Santa Barbara.docx.pdf application/pdf 63.2 KB Download File
  • thumnail for COVID-19 Research Lightning Talk - Xifeng Yan, University of California Santa Barbara.mp4 COVID-19 Research Lightning Talk - Xifeng Yan, University of California Santa Barbara.mp4 video/mp4 9.01 MB Play Download File

More About This Work

Academic Units
Northeast Big Data Innovation Hub
Series
COVID-19 Research Lightning Talks
Published Here
March 18, 2022