2020 Presentations (Communicative Events)
Michael Pazzani and Albert Hsiao: Explainable Machine Learning for Analysis of COVID-19 Chest CT
This presentation was made by Michael Pazzani and Albert Hsiao, UC San Diego. The presentation’s title is: “Explainable Machine Learning for Analysis of COVID-19 Chest CT.” Funded by NSF Computer and Information Science and Engineering / Information and Intelligent Systems.
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.
- Michael Pazzani and Albert Hsiao, UC San Diego.pdf application/pdf 90.8 KB Download File
- COVID-19 Research Lightning Talk_ Michael Pazzani and Albert Hsiao, UC San Diego.mp4 video/mp4 15.6 MB Play Download File
More About This Work
- Academic Units
- Northeast Big Data Innovation Hub
- COVID-19 Research Lightning Talks
- Published Here
- February 22, 2022