Human-in-the-loop reinforcement learning: A survey and position on requirements, challenges, and opportunities
Artificial intelligence (AI) and especially reinforcement learning (RL) have the potential to
enable agents to learn and perform tasks autonomously with superhuman performance …
enable agents to learn and perform tasks autonomously with superhuman performance …
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination
The US COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, internet-
based survey that has operated continuously since April 6, 2020. By inviting a random …
based survey that has operated continuously since April 6, 2020. By inviting a random …
JUE Insight: Measuring movement and social contact with smartphone data: a real-time application to COVID-19
Tracking human activity in real time and at fine spatial scale is particularly valuable during
episodes such as the COVID-19 pandemic. In this paper, we discuss the suitability of …
episodes such as the COVID-19 pandemic. In this paper, we discuss the suitability of …
Improved deep convolutional neural networks using chimp optimization algorithm for Covid19 diagnosis from the X-ray images
Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
because of the necessity of having accurate and fast COVID-19 detectors. Deep …
Where to locate COVID‐19 mass vaccination facilities?
The outbreak of COVID‐19 led to a record‐breaking race to develop a vaccine. However,
the limited vaccine capacity creates another massive challenge: how to distribute vaccines …
the limited vaccine capacity creates another massive challenge: how to distribute vaccines …
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United
States have served as a visible and important communication channel between the scientific …
States have served as a visible and important communication channel between the scientific …
An open repository of real-time COVID-19 indicators
The COVID-19 pandemic presented enormous data challenges in the United States. Policy
makers, epidemiological modelers, and health researchers all require up-to-date data on the …
makers, epidemiological modelers, and health researchers all require up-to-date data on the …
[HTML][HTML] Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
COVID-19 was first discovered in December 2019 and has continued to rapidly spread
across countries worldwide infecting thousands and millions of people. The virus is deadly …
across countries worldwide infecting thousands and millions of people. The virus is deadly …
Forecasting COVID-19 and analyzing the effect of government interventions
We developed DELPHI, a novel epidemiological model for predicting detected cases and
deaths in the prevaccination era of the COVID-19 pandemic. The model allows for …
deaths in the prevaccination era of the COVID-19 pandemic. The model allows for …