Vasileios Lampos

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Ingemar J. CoxDepartment of Computer Science, University College London / University of CopenhagenVerified email at ucl.ac.uk
Nikos AletrasUniversity of SheffieldVerified email at sheffield.ac.uk
Nello CristianiniUniversity of BathVerified email at bath.ac.uk
Anne M JohnsonProfessor of epidemiology UCLVerified email at ucl.ac.uk
Trevor CohnGoogle Research (Research Scientist) & University of Melbourne (Professor; School of CIS)Verified email at unimelb.edu.au
Geraint ReesInstitute of Cognitive Neuroscience, University College LondonVerified email at ucl.ac.uk
Alberto AcerbiDepartment of Sociology and Social Research - University of TrentoVerified email at unitn.it
Richard PebodyUKHSAVerified email at ukhsa.gov.uk
Isobel BraithwaiteDoctoral Research Fellow, UCLVerified email at ucl.ac.uk
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Andrew C. MillerResearch Scientist, AppleVerified email at apple.com
Maimuna S. MajumderBoston Children's Hospital, Harvard Medical SchoolVerified email at childrens.harvard.edu
Eleni NastouliProfessor of Virology, University College LondonVerified email at ucl.ac.uk
Ting Wai Terence, AuUniversity College LondonVerified email at ucl.ac.uk
Sina SamangooeiDeepmindVerified email at samangooei.net
Emiliano De CristofaroProfessor at University of California, RiversideVerified email at ucr.edu
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Yuxuan ShuPhD student at University College LondonVerified email at ucl.ac.uk
Emine YilmazUniversity College LondonVerified email at ucl.ac.uk
Mahesan NiranjanUniversity of SouthamptonVerified email at ecs.soton.ac.uk

Vasileios Lampos

Other namesΒασίλειος Λάμπος

University College London

Verified email at ucl.ac.uk - Homepage

Machine Learning Natural Language Processing Artificial Intelligence Digital Epidemiology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Digital technologies in the public-health response to COVID-19 J Budd, BS Miller, EM Manning, V Lampos, M Zhuang, M Edelstein, ... Nature Medicine 26, 1183-1192, 2020	1269	2020
Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective N Aletras, D Tsarapatsanis, D Preoţiuc-Pietro, V Lampos PeerJ computer science 2, e93, 2016	1064	2016
Tracking the flu pandemic by monitoring the Social Web V Lampos, N Cristianini 2nd International Workshop on Cognitive Information Processing (CIP), 411-416, 2010	505	2010
Flu Detector - Tracking Epidemics on Twitter V Lampos, T De Bie, N Cristianini ECML PKDD, 599-602, 2010	369	2010
Studying User Income through Language, Behaviour and Affect in Social Media D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras PLoS ONE 10 (9), e0138717, 2015	287	2015
Nowcasting Events from the Social Web with Statistical Learning V Lampos, N Cristianini ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4:72), 2012	283	2012
An analysis of the user occupational class through Twitter content D Preotiuc-Pietro, V Lampos, N Aletras Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	267	2015
The Expression of Emotions in 20th Century Books A Acerbi, V Lampos, P Garnett, RA Bentley PLoS ONE 8 (3), e59030, 2013	195	2013
Tracking COVID-19 using online search V Lampos, MS Majumder, E Yom-Tov, M Edelstein, S Moura, Y Hamada, ... npj Digital Medicine 4 (17), 2021	182*	2021
Advances in nowcasting influenza-like illness rates using search query logs V Lampos, AC Miller, S Crossan, C Stefansen Scientific Reports 5, 2015	172	2015
Effects of the Recession on Public Mood in the UK T Lansdall-Welfare, V Lampos, N Cristianini Proceedings of WWW '12 (Companion), 1221-1226, 2012	132	2012
A user-centric model of voting intention from Social Media V Lampos, D Preotiuc-Pietro, T Cohn Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	113	2013
Prevalence and characteristics of persistent symptoms in children during the COVID-19 pandemic: evidence from a household cohort study in England and Wales F Miller, V Nguyen, AMD Navaratnam, M Shrotri, J Kovar, AC Hayward, ... The Pediatric Infectious Disease Journal 41 (12), 979-984, 2022	99	2022
Predicting and Characterising User Impact on Twitter V Lampos, N Aletras, D Preoţiuc-Pietro, T Cohn Proceedings of the 14th Conference of the European Chapter of the …, 2014	91	2014
Books Average Previous Decade of Economic Misery RA Bentley, A Acerbi, P Ormerod, V Lampos PLoS ONE 9 (1), e83147, 2014	88	2014
Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language V Lampos, N Aletras, JK Geyti, B Zou, IJ Cox Proceedings of the 38th European Conference on Information Retrieval (ECIR …, 2016	81	2016
Enhancing feature selection using word embeddings: The case of flu surveillance V Lampos, B Zou, IJ Cox Proceedings of the 26th International World Wide Web Conference, 695-704, 2017	74	2017
On Infectious Intestinal Disease Surveillance using Social Media Content B Zou, V Lampos, R Gorton, IJ Cox 6th International Conference on Digital Health (DH '16), 2016	66	2016
Protocol: Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study A Hayward, E Fragaszy, J Kovar, V Nguyen, S Beale, T Byrne, A Aryee, ... BMJ Open 11 (6), 2021	58*	2021
Nowcasting the mood of the nation T Lansdall-Welfare, V Lampos, N Cristianini Significance 9 (4), 26-28, 2012	55	2012

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