Yuxuan Shu, Vasileios Lampos (2024). DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting. arXiv preprint arXiv:2406.07438. doi:10.48550/arXiv.2406.07438

Aarzoo Dhiman, Elad Yom-Tov, Lorenzo Pellis, Michael Edelstein, Richard Pebody, Andrew Hayward, Thomas House, Thomas Finnie, David Guzman, Vasileios Lampos, Ingemar J. Cox (2024). Estimating the household secondary attack rate and serial interval of COVID-19 using social media. npj Digital Medicine 7 (194). doi:10.1038/s41746-024-01160-2

Yuxuan Shu, Vasileios Lampos (2024). Unsupervised hard Negative Augmentation for contrastive learning. arXiv preprint arXiv:2401.02594. doi:10.48550/arXiv.2401.02594

Jennifer F. Barcroft, Elad Yom-Tov, Vasileios Lampos, Laura Burney Ellis, David Guzman, Victor Ponce-Lopez, Tom Bourne, Ingemar J. Cox, Srdjan Saso (2024). Using online search activity for earlier detection of gynaecological malignancy. BMC Public Health 24 (608). doi:10.1186/s12889-024-17673-0

Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos (2023). Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLOS Computational Biology 19(8), e1011392. doi:10.1371/journal.pcbi.1011392

Vincent Grigori Nguyen, Alexei Yavlinsky, Sarah Beale, Susan Hoskins, Thomas E. Byrne, Vasileios Lampos, Isobel Braithwaite, Wing Lam Erica Fong, Ellen Fragaszy, Cyril Geismar, Jana Kovar, Annalan M. D. Navaratnam, Parth Patel, Madhumita Shrotri, Sophie Weber, Andrew C. Hayward, Robert W. Aldridge (2023). Comparative effectiveness of different primary vaccination courses on mRNA-based booster vaccines against SARs-COV-2 infections: a time-varying cohort analysis using trial emulation in the Virus Watch community cohort. International Journal of Epidemiology 52(2), pp. 342-354. doi:10.1093/ije/dyad002

Thomas Byrne, Jana Kovar, Sarah Beale, Isobel Braithwaite, Ellen Fragaszy, Wing Lam Erica Fong, Cyril Geismar, Susan Hoskins, Annalan M. D. Navaratnam, Vincent Nguyen, Parth Patel, Madhumita Shrotri, Alexei Yavlinsky, Pia Hardelid, Linda Wijlaars, Eleni Nastouli, Moira Spyer, Anna Aryee, Ingemar J. Cox, Vasileios Lampos, Rachel A. McKendry, Tao Cheng, Anne M. Johnson, Susan Michie, Jo Gibbs, Richard Gilson, Alison Rodger, Ibrahim Abubakar, Andrew C. Hayward, Robert W. Aldridge (2023). Cohort Profile: Virus Watch—understanding community incidence, symptom profiles and transmission of COVID-19 in relation to population movement and behaviour. International Journal of Epidemiology 52(5). doi:10.1093/ije/dyad087

Elad Yom-Tov, Vasileios Lampos, Thomas Inns, Ingemar J. Cox, Michael Edelstein (2022). Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries. Scientific Reports 12(2373). doi:10.1038/s41598-022-06340-2

Ting Wai Terence Au, Vasileios Lampos, Ingemar J. Cox (2022). E-NER - An annotated Named Entity Recognition Corpus of Legal Text. Proceedings of the 2022 EMNLP Workshop on Natural Legal Language Processing, pp. 246-255. doi:10.18653/v1/2022.nllp-1.22

Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry and Ingemar J. Cox (2021). Tracking COVID-19 using online search. npj Digital Medicine 4(17). doi:10.1038/s41746-021-00384-w

Vasileios Lampos, Joseph Mintz and Xiao Qu (2021). An artificial intelligence approach for selecting effective teacher communication strategies in autism education. npj Science of Learning 6(25). doi:10.1038/s41539-021-00102-x

Michael Morris, Peter Hayes, Ingemar J. Cox and Vasileios Lampos (2021). Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. arXiv (Preprint).

David Leon, Elad Yom-Tov, Anne Johnson, Mark Petticrew, Elizabeth Williamson, Vasileios Lampos and Ingemar J. Cox (2021). What online searches tell us about public interest and potential impact on behaviour in response to Minimum Unit Pricing of alcohol in Scotland. Addiction 116, pp. 2008-2015. doi:10.1111/add.15388

Jamie Lopez Bernal, Mary A Sinnathamby, Suzanne Elgohari, Hongxin Zhao, Chinelo Obi, Laura Coughlan, Vasileios Lampos, Ruth Simmons, Elise Tessier, Helen Campbell, Suzanna McDonald, Joanna Ellis, Helen Hughes, Gillian Smith, Mark Joy, Manasa Tripathy, Rachel Byford, Filipa Ferreira, Simon de Lusignan, Maria Zambon, Gavin Dabrera, Kevin Brown, Vanessa Saliba, Nick Andrews, Gayatri Amirthalingam, Sema Mandal, Michael Edelstein, Alex J. Elliot, Mary Ramsay (2021). The impact of social and physical distancing measures on COVID-19 activity in England: findings from a multi-tiered surveillance system. Eurosurveillance 26(11). doi:10.2807/1560-7917.ES.2021.26.11.2001062

Andrew Hayward, Ellen Fragaszy, Jana Kovar, Vincent Nguyen, Sarah Beale, Thomas Byrne, Anna Aryee, Pia Hardelid, Linda Wijlaars, Wing Lam Erica Fong, Cyril Geismar, Parth Patel, Madhumita Shrotri, Annalan M D Navaratnam, Eleni Nastouli, Moira Spyer, Ben Killingley, Ingemar J. Cox, Vasileios Lampos, Rachel A. McKendry, Tao Cheng, Anne M. Johnson, Susan Michie, Jo Gibbs, Richard Gilson, Alison Rodger and Robert W. Aldridge (2021). Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study. BMJ Open 11(6), e048042. doi:10.1136/bmjopen-2020-048042

Cyril Geismar, Ellen Fragaszy, Vincent Nguyen, Wing Lam Erica Fong, Madhumita Shrotri, Sarah Beale, Alison Rodger, Vasileios Lampos, Thomas Byrne, Jana Kovar, Annalan M D Navaratnam, Parth Patel, Robert W Aldridge, Andrew Hayward, on behalf of Virus Watch Collaborative (2021). Serial interval of COVID-19 and the effect of Variant B.1.1.7: analyses from prospective community cohort study (Virus Watch). Wellcome Open Research 6(224). doi:10.12688/wellcomeopenres.16974.1

Thomas Byrne, Parth Patel, Madhumita Shrotri, Sarah Beale, Susan Michie, Jabeer Butt, Nicky Hawkins, Pia Hardelid, Alison Rodger, Anna Aryee, Isobel Braithwaite, Wing Lam Erica Fong, Ellen Fragaszy, Cyril Geismar, Jana Kovar, Annalan M.D. Navaratnam, Vincent Nguyen, Andrew Hayward, Robert W. Aldridge, Linda Wijlaar, Eleni Nastouli, Moira Spyer, Ben Killingley, Ingemar J. Cox, Vasileios Lampos, Rachel A. McKendry, Tao Cheng, Yunzhe Liu, Anne M. Johnson, Jo Gibbs, Richard Gilson, on behalf of Virus Watch Collaborative (2021). Trends, patterns and psychological influences on COVID-19 vaccination intention: findings from a large prospective community cohort study in England and Wales (Virus Watch). Vaccine. doi:10.1016/j.vaccine.2021.09.066

Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry and Ingemar J. Cox (2020). Tracking COVID-19 using online search. arXiv preprint arXiv:2003.08086.

Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox and Michael Edelstein (2020). Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries. arXiv preprint arXiv:2007.11821.

Jamie Lopez Bernal, Mary Sinnathamby, Suzanne Elgohari, Hongxin Zhao, Chinelo Obi, Laura Coughlan, Vasileios Lampos, Ruth Simmons, Elise Tessier, Helen Campbell, Suzanna McDonald, Joanna Ellis, Helen Hughes, Mark Joy, Manasa Tripathy, Rachel Byford, Filipa Ferreira, Simon de Lusignan, Maria Zambon, Gavin Dabrera, Kevin Brown, Vanessa Saliba, Nick Andrews, Gayatri Amirthalingam, Sema Mandal, Michael Edelstein, Alex J. Elliot and Mary Ramsay (2020). The impact of social and physical distancing measures on COVID-19 activity in England. Preprints with THE LANCET.

Jobie Budd, Benjamin Miller, Erin Manning, Vasileios Lampos, Mengdie Zhuang, Michael Edelstein, Geraint Rees, Vince Emery, Molly M. Stevens, Neil Keegan, Michael Short, Deenan Pillay, Ed Manley, Ingemar J. Cox, David Heymann, Anne M. Johnson and Rachel A. McKendry (2020). Digital technologies in the public health response to COVID-19. Nature Medicine 26(8), pp. 1183-1192. doi:10.1038/s41591-020-1011-4

Bin Zou, Vasileios Lampos and Ingemar J. Cox (2019). Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data. Proceedings of the 28th International Web Conference (WWW '19), pp. 2505-2516. doi:10.1145/3308558.3313477

Vincent Primault, Vasileios Lampos, Ingemar J. Cox and Emiliano De Cristofaro (2019). Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor. Proceedings of the 28th International Web Conference (WWW '19), pp. 1487-1497. doi:10.1145/3308558.3313474

Bin Zou, Vasileios Lampos and Ingemar J. Cox (2018). Multi-Task Learning Improves Disease Models from Web Search. Proceedings of the 27th International Web Conference (WWW '18), pp. 87-96. doi:10.1145/3178876.3186050

Moritz Wagner, Vasileios Lampos, Ingemar J. Cox and Richard Pebody (2018). The added value of online user-generated content in traditional methods for influenza surveillance. Scientific Reports 8(13963). doi:10.1038/s41598-018-32029-6

Lucie Flekova, Vasileios Lampos and Ingemar J. Cox (2018). Changes in psycholinguistic attributes of social media users before, during, and after self-reported influenza symptoms. Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, pp. 17-21. doi:10.18653/v1/W18-5905

Katie Owens, Richard Pebody, Vasileios Lampos, Ingemar J. Cox, Simon de Lusignan and Alex Elliot (2018). Daily Google Search Queries - Added Value to National Influenza Surveillance?. Annual Public Health England Conference (2018).

Vasileios Lampos, Bin Zou and Ingemar J. Cox (2017). Enhancing feature selection using word embeddings: The case of flu surveillance. Proceedings of the 26th International World Wide Web Conference (WWW '17), pp. 695-704. doi:10.1145/3038912.3052622

Moritz Wagner, Vasileios Lampos, Elad Yom-Tov, Richard Pebody and Ingemar J. Cox (2017). Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content. Journal of Medical Internet Research 19(12), e416. doi:10.2196/jmir.8184

Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz and Ingemar J. Cox (2017). A Concept Language Model for Ad-hoc Retrieval. Proceedings of the 26th International World Wide Web Conference (Companion) (WWW '17), pp. 885-886. doi:10.1145/3041021.3054209

Vasileios Lampos (2017). Assessing public health interventions using Web content. arXiv preprint arXiv:1712.08076.

Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox and Vasileios Lampos (2017). WSDM 2017 Workshop on Mining Online Health Reports. Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM '17), pp. 825-826. doi:10.1145/3018661.3022761

Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoțiuc-Pietro and Vasileios Lampos (2016). Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. PeerJ Computer Science 2, e93. doi:10.7717/peerj-cs.93

Vasileios Lampos (2016). Flu Detector: Estimating influenza-like illness rates from online user-generated content. arXiv preprint arXiv:1612.03494.

Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou and Ingemar J. Cox (2016). Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language. Proceedings of the 38th European Conference on Information Retrieval (ECIR '16), pp. 689-695. doi:10.1007/978-3-319-30671-1_54

Bin Zou, Vasileios Lampos, Russell Gorton and Ingemar J. Cox (2016). On Infectious Intestinal Disease Surveillance using Social Media Content. Proceedings of the 6th International Conference on Digital Health (DH '16), pp. 157-161. doi:10.1145/2896338.2896372

Daniel Preoțiuc-Pietro, Svitlana Volkova, Vasileios Lampos, Yoram Bachrach and Nikolaos Aletras (2015). Studying User Income through Language, Behaviour and Affect in Social Media. PLoS ONE 10(9), e0138717. doi:10.1371/journal.pone.0138717

Vasileios Lampos, Elad Yom-Tov, Richard Pebody and Ingemar J. Cox (2015). Assessing the impact of a health intervention via user-generated Internet content. Data Mining and Knowledge Discovery 29(5), pp. 1434-1457. doi:10.1007/s10618-015-0427-9

Elad Yom-Tov, Ingemar J. Cox, Vasileios Lampos and Andrew C. Hayward (2015). Estimating the Secondary Attack Rate and Serial Interval of Influenza-Like Illnesses using Social Media. Influenza and Other Respiratory Viruses 9(4), pp. 191-199. doi:10.1111/irv.12321

Vasileios Lampos, Andrew C. Miller, Steve Crossan and Christian Stefansen (2015). Advances in nowcasting influenza-like illness rates using search query logs. Scientific Reports 5(12760). doi:10.1038/srep12760

Daniel Preoțiuc-Pietro, Vasileios Lampos and Nikolaos Aletras (2015). An analysis of the user occupational class through Twitter content. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL '15), pp. 1754-1764. doi:10.3115/v1/P15-1169

Elad Yom-Tov, Ingemar J. Cox and Vasileios Lampos (2015). Learning About Health and Medicine from Internet Data. Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (WSDM '15), pp. 417-418. doi:10.1145/2684822.2697042

Vasileios Lampos, Nikolaos Aletras, Daniel Preoțiuc-Pietro and Trevor Cohn (2014). Predicting and Characterising User Impact on Twitter. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL '14), pp. 405-413. doi:10.3115/v1/E14-1043

Vasileios Lampos, Daniel Preoțiuc-Pietro, Sina Samangooei, Douwe Gelling and Trevor Cohn (2014). Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science, pp. 13-17. doi:10.3115/v1/W14-2507

R. Alexander Bentley, Alberto Acerbi, Paul Ormerod and Vasileios Lampos (2014). Books Average Previous Decade of Economic Misery. PLoS ONE 9(1), e83147. doi:10.1371/journal.pone.0083147

Vasileios Lampos, Daniel Preoțiuc-Pietro and Trevor Cohn (2013). A user-centric model of voting intention from Social Media. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL '13), pp. 993-1003.

Alberto Acerbi, Vasileios Lampos and R. Alexander Bentley (2013). Robustness of emotion extraction from 20th century English books. 2013 IEEE International Conference on Big Data (Big Data '13), pp. 1-8. doi:10.1109/BigData.2013.6691663

Alberto Acerbi, Vasileios Lampos, Philip Garnett and R. Alexander Bentley (2013). The Expression of Emotions in 20th Century Books. PLoS ONE 8(3), e59030. doi:10.1371/journal.pone.0059030

Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya and Nello Cristianini (2013). Analysing mood patterns in the United Kingdom through Twitter content. arXiv preprint arXiv:1304.5507.

Vasileios Lampos (2012). Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods. Ph.D. Thesis, University of Bristol.

Vasileios Lampos (2012). On voting intentions inference from Twitter content: a case study on UK 2010 General Election. arXiv preprint arXiv:1204.0423.

Thomas Lansdall-Welfare, Vasileios Lampos and Nello Cristianini (2012). Nowcasting the mood of the nation. Significance 9(4), pp. 26-28. doi:10.1111/j.1740-9713.2012.00588.x

Thomas Lansdall-Welfare, Vasileios Lampos and Nello Cristianini (2012). Effects of the Recession on Public Mood in the UK. Proceedings of the 21st International Conference on World Wide Web (Companion) (WWW '12), pp. 1221-1226. doi:10.1145/2187980.2188264

Vasileios Lampos and Nello Cristianini (2012). Nowcasting Events from the Social Web with Statistical Learning. ACM Transactions on Intelligent Systems and Technology 3(4), pp. 72:1-72:22. doi:10.1145/2337542.2337557

Vasileios Lampos and Nello Cristianini (2010). Tracking the flu pandemic by monitoring the Social Web. Proceedings of the 2nd International Workshop on Cognitive Information Processing (CIP '10), pp. 411-416. doi:10.1109/CIP.2010.5604088

Vasileios Lampos, Tijl De Bie and Nello Cristianini (2010). Flu Detector: Tracking Epidemics on Twitter. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD '10), pp. 599-602. doi:10.1007/978-3-642-15939-8_42