Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Cox, Ingemar J."'
Autor:
Meng, Xiansong, Kong, Deming, Kim, Kwangwoong, Li, Qiuchi, Dong, Po, Cox, Ingemar J., Lioma, Christina, Hu, Hao
The computational demands of modern AI have spurred interest in optical neural networks (ONNs) which offer the potential benefits of increased speed and lower power consumption. However, current ONNs face various challenges,most significantly a limit
Externí odkaz:
http://arxiv.org/abs/2401.15061
Identifying named entities such as a person, location or organization, in documents can highlight key information to readers. Training Named Entity Recognition (NER) models requires an annotated data set, which can be a time-consuming labour-intensiv
Externí odkaz:
http://arxiv.org/abs/2212.09306
Influenza is an infectious disease with the potential to become a pandemic, and hence, forecasting its prevalence is an important undertaking for planning an effective response. Research has found that web search activity can be used to improve influ
Externí odkaz:
http://arxiv.org/abs/2105.12433
COVID19 was first reported in England at the end of January 2020, and by mid-June over 150,000 cases were reported. We assume that, similarly to influenza-like illnesses, people who suffer from COVID19 may query for their symptoms prior to accessing
Externí odkaz:
http://arxiv.org/abs/2007.11821
Autor:
Bennett, Isabel, Budd, Jobie, Manning, Erin M., Manley, Ed, Zhuang, Mengdie, Cox, Ingemar J., Short, Michael, Johnson, Anne M., Pillay, Deenan, McKendry, Rachel A.
The UK government announced its first wave of lockdown easing on 10 May 2020, two months after the non-pharmaceutical measures to reduce the spread of COVID-19 were first introduced on 23 March 2020. Analysis of reported case rate data from Public He
Externí odkaz:
http://arxiv.org/abs/2007.02603
Autor:
Lampos, Vasileios, Majumder, Maimuna S., Yom-Tov, Elad, Edelstein, Michael, Moura, Simon, Hamada, Yohhei, Rangaka, Molebogeng X., McKendry, Rachel A., Cox, Ingemar J.
Publikováno v:
Nature Digital Medicine 4, 17 (2021)
Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about the prevalence of COVID-19 in mu
Externí odkaz:
http://arxiv.org/abs/2003.08086
Akademický článek
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Influenza-like illness (ILI) estimation from web search data is an important web analytics task. The basic idea is to use the frequencies of queries in web search logs that are correlated with past ILI activity as features when estimating current ILI
Externí odkaz:
http://arxiv.org/abs/1802.06833
Estimating vaccination uptake is an integral part of ensuring public health. It was recently shown that vaccination uptake can be estimated automatically from web data, instead of slowly collected clinical records or population surveys. All prior wor
Externí odkaz:
http://arxiv.org/abs/1702.07326
Akademický článek
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