Vasileios Lampos

Orcid: 0000-0001-8555-2063

Affiliations:
  • University College London, Department of Computer Science, UK
  • University of Sheffield, Department of Computer Science, UK (former)
  • University of Bristol, Intelligent Systems Laboratory, UK (former)


According to our database1, Vasileios Lampos authored at least 35 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Estimating the household secondary attack rate and serial interval of COVID-19 using social media.
npj Digit. Medicine, 2024

DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting.
CoRR, 2024

Unsupervised hard Negative Augmentation for contrastive learning.
CoRR, 2024

2023
Neural network models for influenza forecasting with associated uncertainty using Web search activity trends.
PLoS Comput. Biol., 2023

2022
E-NER - An Annotated Named Entity Recognition Corpus of Legal Text.
Proceedings of the Natural Legal Language Processing Workshop, 2022

2021
Tracking COVID-19 using online search.
npj Digit. Medicine, 2021

Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity.
CoRR, 2021

2020
Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries.
CoRR, 2020

Tracking COVID-19 using online search.
CoRR, 2020

2019
Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data.
Proceedings of the World Wide Web Conference, 2019

Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor.
Proceedings of the World Wide Web Conference, 2019

2018
Multi-Task Learning Improves Disease Models from Web Search.
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.
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.
CoRR, 2017

A Concept Language Model for Ad-hoc Retrieval.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance.
Proceedings of the 26th International Conference on World Wide Web, 2017

WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017.
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.
PeerJ Comput. Sci., 2016

Flu Detector: Estimating influenza-like illness rates from online user-generated content.
CoRR, 2016

On Infectious Intestinal Disease Surveillance using Social Media Content.
Proceedings of the 6th International Conference on Digital Health Conference, 2016

Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language.
Proceedings of the Advances in Information Retrieval, 2016

2015
Assessing the impact of a health intervention via user-generated Internet content.
Data Min. Knowl. Discov., 2015

Learning About Health and Medicine from Internet Data.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

An analysis of the user occupational class through Twitter content.
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.
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.
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
CoRR, 2013

Robustness of emotion extraction from 20<sup>th</sup> century English books.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

A user-centric model of voting intention from Social Media.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Nowcasting Events from the Social Web with Statistical Learning.
ACM Trans. Intell. Syst. Technol., 2012

Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
CoRR, 2012

On voting intentions inference from Twitter content: a case study on UK 2010 General Election
CoRR, 2012

Effects of the recession on public mood in the UK.
Proceedings of the 21st World Wide Web Conference, 2012

2010
Flu Detector - Tracking Epidemics on Twitter.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Tracking the flu pandemic by monitoring the social web.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010


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