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05/13/2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
Self-supervised learning (SSL) enables label efficient training for mach...
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08/27/2022
Improving debris flow evacuation alerts in Taiwan using machine learning
Taiwan has the highest susceptibility to and fatalities from debris flow...
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07/22/2022
METER-ML: A Multi-sensor Earth Observation Benchmark for Automated Methane Source Mapping
Reducing methane emissions is essential for mitigating global warming. T...
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05/07/2021
Structured dataset documentation: a datasheet for CheXpert
Billions of X-ray images are taken worldwide each year. Machine learning...
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11/14/2020
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed Imagery
At least a quarter of the warming that the Earth is experiencing today i...
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11/12/2020
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays
The use of smartphones to take photographs of chest x-rays represents an...
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11/11/2020
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery
Characterizing the processes leading to deforestation is critical to the...
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10/09/2020
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Advancing probabilistic solar forecasting methods is essential to suppor...
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02/26/2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
Although there have been several recent advances in the application of d...
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01/21/2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Large, labeled datasets have driven deep learning methods to achieve exp...
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12/11/2017
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
We introduce MURA, a large dataset of musculoskeletal radiographs contai...
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11/14/2017
