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Scientific Reports
|
April 1, 2021
Towards global flood mapping onboard low cost satellites with machine learning
Gonzalo Mateo-Garcia, Joshua Veitch-Michaelis, Lewis Smith, et al.
Nature
|
October 11, 2023
Learning from prepandemic data to forecast viral escape
Nicole N Thadani, Sarah Gurev, Pascal Notin, et al.
IEEE Transactions on Medical Imaging
|
September 20, 2021
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
Raghav Mehta, Thomas Christinck, Tanya Nair, et al.
Neuroimage
|
August 30, 2022
Mixtures of large-scale dynamic functional brain network modes
Chetan Gohil, Evan Roberts, Ryan Timms, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
May 31, 2022
Mask wearing in community settings reduces SARS-CoV-2 transmission
Gavin Leech, Charlie Rogers-Smith, Joshua Teperowski Monrad, et al.
Biorxiv : the Preprint Server for Biology
|
December 18, 2023
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction
Pascal Notin, Aaron W Kollasch, Daniel Ritter, et al.
Nature Communications
|
October 20, 2022
Technology readiness levels for machine learning systems
Alexander Lavin, Ciarán M Gilligan-Lee, Alessya Visnjic, et al.
Science (New York, N.Y.)
|
December 16, 2020
Inferring the effectiveness of government interventions against COVID-19
Jan M Brauner, Sören Mindermann, Mrinank Sharma, et al.
Scientific Data
|
April 2, 2022
A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe
George Altman, Janvi Ahuja, Joshua Teperowski Monrad, et al.
Nature Communications
|
October 6, 2021
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
Mrinank Sharma, Sören Mindermann, Charlie Rogers-Smith, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 22) with videos related to
Sort By:
Page
of 3
Scientific Reports
|
April 1, 2021
Towards global flood mapping onboard low cost satellites with machine learning
Gonzalo Mateo-Garcia, Joshua Veitch-Michaelis, Lewis Smith, et al.
Nature
|
October 11, 2023
Learning from prepandemic data to forecast viral escape
Nicole N Thadani, Sarah Gurev, Pascal Notin, et al.
IEEE Transactions on Medical Imaging
|
September 20, 2021
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
Raghav Mehta, Thomas Christinck, Tanya Nair, et al.
Neuroimage
|
August 30, 2022
Mixtures of large-scale dynamic functional brain network modes
Chetan Gohil, Evan Roberts, Ryan Timms, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
May 31, 2022
Mask wearing in community settings reduces SARS-CoV-2 transmission
Gavin Leech, Charlie Rogers-Smith, Joshua Teperowski Monrad, et al.
Biorxiv : the Preprint Server for Biology
|
December 18, 2023
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction
Pascal Notin, Aaron W Kollasch, Daniel Ritter, et al.
Nature Communications
|
October 20, 2022
Technology readiness levels for machine learning systems
Alexander Lavin, Ciarán M Gilligan-Lee, Alessya Visnjic, et al.
Science (New York, N.Y.)
|
December 16, 2020
Inferring the effectiveness of government interventions against COVID-19
Jan M Brauner, Sören Mindermann, Mrinank Sharma, et al.
Scientific Data
|
April 2, 2022
A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe
George Altman, Janvi Ahuja, Joshua Teperowski Monrad, et al.
Nature Communications
|
October 6, 2021
Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe
Mrinank Sharma, Sören Mindermann, Charlie Rogers-Smith, et al.
Page
of 3