Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Lampos, Vasileios"'
Autor:
Shu, Yuxuan, Lampos, Vasileios
In multivariate time series (MTS) forecasting, existing state-of-the-art deep learning approaches tend to focus on autoregressive formulations and overlook the information within exogenous indicators. To address this limitation, we present DeformTime
Externí odkaz:
http://arxiv.org/abs/2406.07438
Autor:
Shu, Yuxuan, Lampos, Vasileios
We present Unsupervised hard Negative Augmentation (UNA), a method that generates synthetic negative instances based on the term frequency-inverse document frequency (TF-IDF) retrieval model. UNA uses TF-IDF scores to ascertain the perceived importan
Externí odkaz:
http://arxiv.org/abs/2401.02594
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
Autor:
Michie, Susan, Hardelid, Pia, Wijlaars, Linda, Nastouli, Eleni, Spyer, Moira, Killingley, Ben, Cox, Ingemar, Lampos, Vasileios, McKendry, Rachel A., Cheng, Tao, Liu, Yunzhe, Gibbs, Jo, Gilson, Richard, Rogers, Alison, Johnson, Anne M., Navaratnam, Annalan M.D., O'Callaghan, Christopher, Beale, Sarah, Nguyen, Vincent, Aryee, Anna, Braithwaite, Isobel, Byrne, Thomas E., Fong, Wing Lam Erica, Fragaszy, Ellen, Geismar, Cyril, Hoskins, Susan, Kovar, Jana, Patel, Parth, Shrotri, Madhumita, Weber, Sophie, Yavlinsky, Alexei, Aldridge, Robert W., Hayward, Andrew C.
Publikováno v:
In International Journal of Infectious Diseases February 2024 139:28-33
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:
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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Autor:
Lampos, Vasileios
Public health interventions are a fundamental tool for mitigating the spread of an infectious disease. However, it is not always possible to obtain a conclusive estimate for the impact of an intervention, especially in situations where the effects ar
Externí odkaz:
http://arxiv.org/abs/1712.08076
Autor:
Michie, Susan, Hardelid, Pia, Wijlaars, Linda, Nastouli, Eleni, Spyer, Moira, Killingley, Ben, Cox, Ingemar, Lampos, Vasileios, McKendry, Rachel A, Cheng, Tao, Liu, Yunzhe, Gibbs, Jo, Gilson, Richard, Johnson, Anne M, Navaratnam, Annalan M D, Shrotri, Madhumita, Nguyen, Vincent, Braithwaite, Isobel, Beale, Sarah, Byrne, Thomas E, Fong, Wing Lam Erica, Fragaszy, Ellen, Geismar, Cyril, Hoskins, Susan, Kovar, Jana, Patel, Parth, Yavlinsky, Alexei, Aryee, Anna, Rodger, Alison, Hayward, Andrew C, Aldridge, Robert W
Publikováno v:
In International Journal of Infectious Diseases October 2022 123:104-111