Publications

2026

  1. AAAI
    Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting
    Yuxuan Shu and Vasileios Lampos
    In Proc. of the AAAI Conference on Artificial Intelligence, 2026
  2. From Jumps to Signatures: a Generative Method for Temporal Point Processes
    Niels Cariou-Kotlarek and Vasileios Lampos
    Preprint, 2026
  3. Optimising antibiotic switching via forecasting of patient physiology
    Magnus Ross, Nel Swanepoel, Akish Luintel, Emma McGuire, Ingemar J. Cox, Steve Harris, and Vasileios Lampos
    Preprint, 2026

2025

  1. DeformTime: capturing variable dependencies with deformable attention for time series forecasting
    Yuxuan Shu and Vasileios Lampos
    Transactions on Machine Learning Research, 2025
  2. EMNLP
    Machine-generated text detection prevents language model collapse
    George Drayson, Emine Yilmaz, and Vasileios Lampos
    In Proc. of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
  3. Expediting Switches from Intravenous to Oral Antimicrobial Therapy with Neural Processes
    Magnus Ross, Nel Swanepoel, Akish Luintel, Emma McGuire, Ingemar J. Cox, Steve Harris, and Vasileios Lampos
    In Proc. of the 4th annual Machine Learning for Health Symposium, 2025
  4. Foundation Models for Biosignals: A Survey
    Xiao Gu, Yuxuan Shu, Jinpei Han, Yuxuan Liu, Zhangdaihong Liu, James Anibal, Veer Sangha, Edward Phillips, Bradley Segal, Hang Yuan, Fenglin Liu, Kim Branson, Patrick Schwab, Danielle Belgrave, Lei Clifton, Dimitris Spathis, Vasileios Lampos, A. Aldo Faisal, and David A. Clifton
    Preprint, 2025
  5. Modelling the Spread of New Information on X
    Ziming Xu, Shi Zhou, Vasileios Lampos, and Ingemar J. Cox
    Preprint, 2025

2024

  1. Using online search activity for earlier detection of gynaecological malignancy
    Jennifer F Barcroft, Elad Yom-Tov, Vasilieos Lampos, Laura Burney Ellis, David Guzman, Vı́ctor Ponce-López, Tom Bourne, Ingemar J Cox, and Srdjan Saso
    BMC Public Health, 2024
  2. Estimating the household secondary attack rate and serial interval of COVID-19 using social media
    Aarzoo Dhiman, Elad Yom-Tov, Lorenzo Pellis, Michael Edelstein, Richard Pebody, Andrew Hayward, Thomas House, Thomas Finnie, David Guzman, Vasileios Lampos, and Ingemar J Cox
    npj Digital Medicine, 2024
  3. Unsupervised hard Negative Augmentation for contrastive learning
    Yuxuan Shu and Vasileios Lampos
    Preprint, 2024

2023

  1. Vincent Grigori Nguyen, Alexei Yavlinsky, Sarah Beale, Susan Hoskins, Thomas E Byrne, Vasileios Lampos, Isobel Braithwaite, Wing Lam Erica Fong, Ellen Fragaszy, Cyril Geismar, and others
    International Journal of Epidemiology, 2023
  2. Neural network models for influenza forecasting with associated uncertainty using Web search activity trends
    Michael Morris, Peter Hayes, Ingemar J. Cox, and Vasileios Lampos
    PLOS Computational Biology, 2023

2022

  1. E-NER — An Annotated Named Entity Recognition Corpus of Legal Text
    Ting Wai Terence Au, Vasileios Lampos, and Ingemar Cox
    In Proc. of the Natural Legal Language Processing Workshop 2022, 2022
  2. Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries
    Elad Yom-Tov, Vasileios Lampos, Thomas Inns, Ingemar J. Cox, and Michael Edelstein
    Scientific Reports, 2022
  3. Symptom profiles and accuracy of clinical definitions for COVID-19 in the community. Results of the Virus Watch community cohort
    Ellen Fragaszy, Madhumita Shrotri, Cyril Geismar, Anna Aryee, Sarah Beale, Isobel Braithwaite, Thomas Byrne, Wing Lam Erica Fong, Jo Gibbs, Pia Hardelid, Jana Kovar, Vasileios Lampos, Eleni Nastouli, Annalan M D Navaratnam, Vincent Nguyen, Parth Patel, Robert W Aldridge, and Andrew Hayward
    Wellcome Open Research, 2022

2021

  1. Tracking COVID-19 using online search
    Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, and Ingemar J. Cox
    npj Digital Medicine, 2021
  2. An artificial intelligence approach for selecting effective teacher communication strategies in autism education
    Vasileios Lampos, Joseph Mintz, and Xiao Qu
    npj Science of Learning, 2021
  3. What online searches tell us about public interest and potential impact on behaviour in response to Minimum Unit Pricing of alcohol in Scotland
    David Leon, Elad Yom-Tov, Anne Johnson, Mark Petticrew, Elizabeth Williamson, Vasileios Lampos, and Ingemar Cox
    Addiction, 2021
  4. The impact of social and physical distancing measures on COVID-19 activity in England: findings from a multi-tiered surveillance system
    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 Lusignan, Maria Zambon, and 9 more authors
    Eurosurveillance, 2021
  5. Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study
    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 Cox, Vasileios Lampos, Rachel A McKendry, and 8 more authors
    BMJ Open, 2021
  6. Serial interval of COVID-19 and the effect of Variant B.1.1.7: analyses from prospective community cohort study (Virus Watch)
    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, and Andrew Hayward
    Wellcome Open Research, 2021
  7. Trends, patterns and psychological influences on COVID-19 vaccination intention: findings from a large prospective community cohort study in England and Wales (Virus Watch)
    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, and 11 more authors
    Vaccine, 2021
  8. Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
    Michael Morris, Peter Hayes, Ingemar J. Cox, and Vasileios Lampos
    Preprint, 2021
  9. Deprivation and Exposure to Public Activities during the COVID-19 Pandemic in England and Wales
    Sarah Beale, Isobel Braithwaite, Annalan M D Navaratnam, Pia Hardelid, Alison Rodger, Anna Aryee, Thomas Byrne, Wing Lam Erica Fong, Ellen Fragaszy, Cyril Geismar, Jana Kovar, Vincent Nguyen, Parth Patel, Madhumita Shrotri, Robert W Aldridge, Andrew Hayward, Susan Michie, Linda Wijlaars, Eleni Nastouli, Moira Spyer, and 9 more authors
    medRxiv, 2021

2020

  1. Digital technologies in the public health response to COVID-19
    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
    Nature Medicine, 2020

2019

  1. WWW
    Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data
    Bin Zou, Vasileios Lampos, and Ingemar J. Cox
    In Proc. of the 28th International Web Conference, 2019
  2. WWW
    Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor
    Vincent Primault, Vasileios Lampos, Ingemar J. Cox, and Emiliano De Cristofaro
    In Proc. of the 28th International Web Conference, 2019

2018

  1. WWW
    Multi-Task Learning Improves Disease Models from Web Search
    Bin Zou, Vasileios Lampos, and Ingemar J. Cox
    In Proc. of the 2018 World Wide Web Conference, 2018
  2. Changes in psycholinguistic attributes of social media users before, during, and after self-reported influenza symptoms
    Lucie Flekova, Vasileios Lampos, and Ingemar J. Cox
    In Proc. of the EMNLP Workshop on Social Media Mining for Health Applications, 2018
  3. The added value of online user-generated content in traditional methods for influenza surveillance
    Moritz Wagner, Vasileios Lampos, Ingemar J. Cox, and Richard Pebody
    Scientific Reports, 2018
  4. Data set: UK Twitter word embeddings II
    Vasileios Lampos
    2018

2017

  1. WWW
    Enhancing feature selection using word embeddings: The case of flu surveillance
    Vasileios Lampos, Bin Zou, and Ingemar J. Cox
    In Proc. of the 26th International World Wide Web Conference, 2017
  2. WWW
    A Concept Language Model for Ad-hoc Retrieval
    Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, and Ingemar J. Cox
    In Proc. of the 26th International World Wide Web Conference (Companion), 2017
  3. WSDM 2017 Workshop on Mining Online Health Reports
    Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox, and Vasileios Lampos
    In Proc. of the 10th ACM International Conference on Web Search and Data Mining, 2017
  4. Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content
    Moritz Wagner, Vasileios Lampos, Elad Yom-Tov, Richard Pebody, and Ingemar J. Cox
    Journal of Medical Internet Research, 2017
  5. Assessing public health interventions using Web content
    Vasileios Lampos
    Preprint, 2017

2016

  1. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
    Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preoţiuc-Pietro, and Vasileios Lampos
    PeerJ Computer Science, 2016
  2. Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language
    Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, and Ingemar J. Cox
    In Proc. of the 38th European Conference on Information Retrieval, 2016
  3. On Infectious Intestinal Disease Surveillance using Social Media Content
    Bin Zou, Vasileios Lampos, Russell Gorton, and Ingemar J. Cox
    In Proc. of the 6th International Conference on Digital Health, 2016
  4. Flu Detector: Estimating influenza-like illness rates from online user-generated content
    Vasileios Lampos
    Preprint, 2016
  5. Data set: UK Twitter word embeddings
    Vasileios Lampos
    2016

2015

  1. Advances in nowcasting influenza-like illness rates using search query logs
    Vasileios Lampos, Andrew C. Miller, Steve Crossan, and Christian Stefansen
    Scientific Reports, 2015
  2. ACL
    An analysis of the user occupational class through Twitter content
    Daniel Preoţiuc-Pietro, Vasileios Lampos, and Nikolaos Aletras
    In Proc. of the 53rd Annual Meeting of the Association for Computational Linguistics, 2015
  3. Learning About Health and Medicine from Internet Data
    Elad Yom-Tov, Ingemar J. Cox, and Vasileios Lampos
    In Proc. of the 8th ACM International Conference on Web Search and Data Mining, 2015
  4. Studying User Income through Language, Behaviour and Affect in Social Media
    Daniel Preoţiuc-Pietro, Svitlana Volkova, Vasileios Lampos, Yoram Bachrach, and Nikolaos Aletras
    PLOS ONE, 2015
  5. Assessing the impact of a health intervention via user-generated Internet content
    Vasileios Lampos, Elad Yom-Tov, Richard Pebody, and Ingemar J. Cox
    Data Mining and Knowledge Discovery, 2015
  6. Estimating the Secondary Attack Rate and Serial Interval of Influenza-Like Illnesses using Social Media
    Elad Yom-Tov, Ingemar J. Cox, Vasileios Lampos, and Andrew C. Hayward
    Influenza and Other Respiratory Viruses, 2015
  7. Data set: Socioeconomic status classification of social media users
    Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, and Ingemar J. Cox
    2015

2014

  1. EACL
    Predicting and Characterising User Impact on Twitter
    Vasileios Lampos, Nikolaos Aletras, Daniel Preoţiuc-Pietro, and Trevor Cohn
    In Proc. of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
  2. Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly
    Vasileios Lampos, Daniel Preoţiuc-Pietro, Sina Samangooei, Douwe Gelling, and Trevor Cohn
    In Proc. of the ACL 2014 Workshop on Language Technologies and Computational Social Science, 2014
  3. Books Average Previous Decade of Economic Misery
    Alexander R. Bentley, Alberto Acerbi, Paul Ormerod, and Vasileios Lampos
    PLOS ONE, 2014

2013

  1. ACL
    A user-centric model of voting intention from Social Media
    Vasileios Lampos, Daniel Preoţiuc-Pietro, and Trevor Cohn
    In Proc. of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
  2. Robustness of emotion extraction from 20th century English books
    Alberto Acerbi, Vasileios Lampos, and Alexander R. Bentley
    In Proc. of 2013 IEEE International Conference on Big Data, 2013
  3. The Expression of Emotions in 20th Century Books
    Alberto Acerbi, Vasileios Lampos, Philip Garnett, and Alexander R. Bentley
    PLOS ONE, 2013
  4. Analysing mood patterns in the United Kingdom through Twitter content
    Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya, and Nello Cristianini
    Preprint, 2013

2012

  1. Effects of the Recession on Public Mood in the UK
    Thomas Lansdall-Welfare, Vasileios Lampos, and Nello Cristianini
    In Proc. of the 21st International Conference on World Wide Web (Companion), 2012
  2. Nowcasting Events from the Social Web with Statistical Learning
    Vasileios Lampos and Nello Cristianini
    ACM Transactions on Intelligent Systems and Technology, 2012
  3. Nowcasting the mood of the nation
    Thomas Lansdall-Welfare, Vasileios Lampos, and Nello Cristianini
    Significance, 2012
  4. Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
    Vasileios Lampos
    2012
  5. On voting intentions inference from Twitter content: a case study on UK 2010 General Election
    Vasileios Lampos
    Preprint, 2012

2010

  1. Tracking the flu pandemic by monitoring the Social Web
    Vasileios Lampos and Nello Cristianini
    In Proc. of the 2nd International Workshop on Cognitive Information Processing, 2010
  2. Flu Detector: Tracking Epidemics on Twitter
    Vasileios Lampos, Tijl De Bie, and Nello Cristianini
    In Proc. of the European Conference on Machine Learning and Knowledge Discovery in Databases, 2010