Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks

Serial interval of novel coronavirus (COVID-19) infections

(2020) Hiroshi Nishiura et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Planning for a COVID-19 Vaccination Program

(2020) Sarah Schaffer DeRoo et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The use of mixture density networks in the emulation of complex epidemiological individual-based models

(2020) Christopher N. Davis et al.   PLoS Computational Biology

Comparing the Quality and Speed of Sentence Classification with Modern Language Models

(2020) Krzysztof Fiok et al.   Applied Sciences-Basel

Challenges in evaluating SARS-CoV-2 vaccines during the COVID-19 pandemic

(2020) Bahaa Abu-Raya et al.   CANADIAN MEDICAL ASSOCIATION JOURNAL

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

(2020) Tanujit Chakraborty et al.   CHAOS SOLITONS & FRACTALS

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

(2020) Matheus Henrique Dal Molin Ribeiro et al.   CHAOS SOLITONS & FRACTALS

Prediction for the spread of COVID-19 in India and effectiveness of preventive measures

(2020) Anuradha Tomar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

(2020) Samuel Lalmuanawma et al.   CHAOS SOLITONS & FRACTALS

Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

(2020) Parul Arora et al.   CHAOS SOLITONS & FRACTALS

Fairly Prioritizing Groups for Access to COVID-19 Vaccines

(2020) Govind Persad et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The Hospitality Industry in the Face of the COVID-19 Pandemic: Current Topics and Research Methods

(2020) Mohammad Reza Davahli et al.   International Journal of Environmental Research and Public Health

Effective passenger flow forecasting using STL and ESN based on two improvement strategies

(2019) Lan Qin et al.   NEUROCOMPUTING

Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine

(2017) Faming Huang et al.   ENGINEERING GEOLOGY

Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning

(2017) Georgios Douzas et al.   EXPERT SYSTEMS WITH APPLICATIONS

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

(2017) Jun Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Mean Absolute Percentage Error for regression models

(2016) Arnaud de Myttenaere et al.   NEUROCOMPUTING

A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics

(2013) Anne Cori et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Essentials of the self-organizing map

(2012) Teuvo Kohonen   NEURAL NETWORKS

Generation interval contraction and epidemic data analysis

(2008) Eben Kenah et al.   MATHEMATICAL BIOSCIENCES