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Machine Learning for Option Pricing, Calibration and Hedging with Jörg Kienitz and Nikolai Nowaczyk - July 2-3rd, 2020 - London

Coranavirus Research at ArXiv

COVID-19: Analytic results for a modified SEIR model and comparison of different intervention strategies
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review
A Social IoT-driven Pedestrian Routing Approach during Epidemic Time
Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit
How does COVID-19 change insurance and vaccine demand? Evidence from short-panel data in Japan
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features
Transformer based Automatic COVID-19 Fake News Detection System
Estimating effective infection fatality rates during the course of the COVID-19 pandemic in Germany
Impact of closing schools on mental health during the COVID-19 pandemic: Evidence using panel data from Japan
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online
Insights into the Impact of COVID-19 on Bicycle Usage in Colorado Counties
Machine learning applications for COVID-19: A state-of-the-art review
Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study
Image quality assessment for closed-loop computer-assisted lung ultrasound
From Gen Z, Millennials, to Babyboomers: Portraits of Working from Home during the COVID-19 Pandemic
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
The implementation of social robots during the COVID-19 pandemic
Visual Analytics approach for finding spatiotemporal patterns from COVID19
Learning Student Interest Trajectory for MOOCThread Recommendation

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