Vasileios Lampos

According to our database, Vasileios Lampos authored at least 35 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 A. House, Thomas Finnie, David Guzman, Vasileios Lampos, Rob Aldridge, Sarah Beale, Thomas Byrne, Jana Kovar, Isobel Braithwaite, Ellen Fragaszy, Wing Lam Erica Fong, Cyril Geismar, Susan Hoskins, Annalan Navaratnam, Vincent Nguyen, Parth Patel, Maddie Shrotri, Alexei Yavlinsky, Pia Hardelid, Linda Wijlaars, Eleni Nastouli, Moira Spyer, Anna Aryee, Rachel A. McKendry, Tao Cheng, Anne Johnson, Susan Michie, Jo Gibbs, Richard Gilson, Alison Rodger, Ingemar J. Cox

npj Digit. Medicine, 2024

DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting.

Yuxuan Shu, Vasileios Lampos

CoRR, 2024

Unsupervised hard Negative Augmentation for contrastive learning.

Yuxuan Shu, Vasileios Lampos

CoRR, 2024

2023

Neural network models for influenza forecasting with associated uncertainty using Web search activity trends.

Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos

PLoS Comput. Biol., 2023

2022

E-NER - An Annotated Named Entity Recognition Corpus of Legal Text.

Ting Wai Terence Au, Vasileios Lampos, Ingemar J. Cox

Proceedings of the Natural Legal Language Processing Workshop, 2022

2021

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, Ingemar J. Cox

npj Digit. Medicine, 2021

Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity.

Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos

CoRR, 2021

2020

Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries.

Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox, Michael Edelstein

CoRR, 2020

Tracking COVID-19 using online search.

Vasileios Lampos, Simon Moura, Elad Yom-Tov, Michael Edelstein, Maimuna S. Majumder, Rachel A. McKendry, Ingemar J. Cox

CoRR, 2020

2019

Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data.

Bin Zou, Vasileios Lampos, Ingemar J. Cox

Proceedings of the World Wide Web Conference, 2019

Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor.

Vincent Primault, Vasileios Lampos, Ingemar J. Cox, Emiliano De Cristofaro

Proceedings of the World Wide Web Conference, 2019

2018

Multi-Task Learning Improves Disease Models from Web Search.

Bin Zou, Vasileios Lampos, Ingemar J. Cox

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms.

Lucie Flekova, Vasileios Lampos, Ingemar J. Cox

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

2017

Assessing public health interventions using Web content.

Vasileios Lampos

CoRR, 2017

A Concept Language Model for Ad-hoc Retrieval.

Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance.

Vasileios Lampos, Bin Zou, Ingemar Johansson Cox

Proceedings of the 26th International Conference on World Wide Web, 2017

WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017.

Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox, Vasileios Lampos

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective.

Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preotiuc-Pietro, Vasileios Lampos

PeerJ Comput. Sci., 2016

Flu Detector: Estimating influenza-like illness rates from online user-generated content.

Vasileios Lampos

CoRR, 2016

On Infectious Intestinal Disease Surveillance using Social Media Content.

Bin Zou, Vasileios Lampos, Russell Gorton, Ingemar J. Cox

Proceedings of the 6th International Conference on Digital Health Conference, 2016

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language.

Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, Ingemar J. Cox

Proceedings of the Advances in Information Retrieval, 2016

2015

Assessing the impact of a health intervention via user-generated Internet content.

Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J. Cox

Data Min. Knowl. Discov., 2015

Learning About Health and Medicine from Internet Data.

Elad Yom-Tov, Ingemar Johansson Cox, Vasileios Lampos

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

An analysis of the user occupational class through Twitter content.

Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Predicting and Characterising User Impact on Twitter.

Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly.

Vasileios Lampos, Daniel Preotiuc-Pietro, Sina Samangooei, Douwe Gelling, Trevor Cohn

Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

2013

Analysing Mood Patterns in the United Kingdom through Twitter Content

Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya, Nello Cristianini

CoRR, 2013

Robustness of emotion extraction from 20^th century English books.

Alberto Acerbi, Vasileios Lampos, R. Alexander Bentley

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

A user-centric model of voting intention from Social Media.

Vasileios Lampos, Daniel Preotiuc-Pietro, Trevor Cohn

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Nowcasting Events from the Social Web with Statistical Learning.

Vasileios Lampos, Nello Cristianini

ACM Trans. Intell. Syst. Technol., 2012

Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods

Vasileios Lampos

CoRR, 2012

On voting intentions inference from Twitter content: a case study on UK 2010 General Election

Vasileios Lampos

CoRR, 2012

Effects of the recession on public mood in the UK.

Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini

Proceedings of the 21st World Wide Web Conference, 2012

2010

Flu Detector - Tracking Epidemics on Twitter.

Vasileios Lampos, Tijl De Bie, Nello Cristianini

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Tracking the flu pandemic by monitoring the social web.

Vasileios Lampos, Nello Cristianini

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010