Imperial College London

DrRossellaArcucci

Faculty of EngineeringDepartment of Earth Science & Engineering

Senior Lecturer in Data Science and Machine Learning
 
 
 
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Contact

 

r.arcucci Website

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Wang:2020:10.1109/MCI.2020.3019874,
author = {Wang, S and Nadler, P and Arcucci, R and Yang, X and Li, L and Huang, Y and Teng, Z and Guo, Y},
doi = {10.1109/MCI.2020.3019874},
journal = {IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE},
pages = {23--33},
title = {A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19},
url = {http://dx.doi.org/10.1109/MCI.2020.3019874},
volume = {15},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Wang,S
AU - Nadler,P
AU - Arcucci,R
AU - Yang,X
AU - Li,L
AU - Huang,Y
AU - Teng,Z
AU - Guo,Y
DO - 10.1109/MCI.2020.3019874
EP - 33
PY - 2020///
SN - 1556-603X
SP - 23
TI - A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19
T2 - IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
UR - http://dx.doi.org/10.1109/MCI.2020.3019874
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000579337000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 15
ER -