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AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
April 21, 2020
Health Cards to Assist Decision Making in Consumer Health Search
Jimmy, Guido Zuccon, Gianluca Demartini, et al.
Health Information and Libraries Journal
|
January 22, 2019
Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data
Wasim Ahmed, Peter A Bath, Laura Sbaffi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 2, 2023
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition
Linh Le, Guido Zuccon, Gianluca Demartini, et al.
IEEE Transactions on Visualization and Computer Graphics
|
November 28, 2025
Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations
Ang Li, Charles Perin, Gianluca Demartini, et al.
Personal and Ubiquitous Computing
|
September 21, 2021
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
Kevin Roitero, Michael Soprano, Beatrice Portelli, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
April 21, 2020
Health Cards to Assist Decision Making in Consumer Health Search
Jimmy, Guido Zuccon, Gianluca Demartini, et al.
Health Information and Libraries Journal
|
January 22, 2019
Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data
Wasim Ahmed, Peter A Bath, Laura Sbaffi, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
May 2, 2023
Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition
Linh Le, Guido Zuccon, Gianluca Demartini, et al.
IEEE Transactions on Visualization and Computer Graphics
|
November 28, 2025
Running with Data: a Survey of the Current Research and a Design Exploration of Future Immersive Visualisations
Ang Li, Charles Perin, Gianluca Demartini, et al.
Personal and Ubiquitous Computing
|
September 21, 2021
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
Kevin Roitero, Michael Soprano, Beatrice Portelli, et al.
Page
of 1