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Vasileios Lampos
Person information
- affiliation: University College London, Department of Computer Science, UK
- affiliation (former): University of Sheffield, Department of Computer Science, UK
- affiliation (former): University of Bristol, Intelligent Systems Laboratory, UK
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2020 – today
- 2024
- [j6]Aarzoo Dhiman, Elad Yom-Tov
, Lorenzo Pellis, Michael Edelstein, Richard Pebody, Andrew Hayward, Thomas A. House
Estimating the household secondary attack rate and serial interval of COVID-19 using social media. npj Digit. Medicine 7(1) (2024) - [i11]Yuxuan Shu, Vasileios Lampos:
Unsupervised hard Negative Augmentation for contrastive learning. CoRR abs/2401.02594 (2024) - [i10]Yuxuan Shu, Vasileios Lampos:
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting. CoRR abs/2406.07438 (2024) - 2023
- [j5]Michael Morris
Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLoS Comput. Biol. 19(8) (2023) - 2022
- [c19]Ting Wai Terence Au, Vasileios Lampos, Ingemar J. Cox:
E-NER - An Annotated Named Entity Recognition Corpus of Legal Text. NLLP@EMNLP 2022: 246-255 - [i9]Ting Wai Terence Au, Ingemar J. Cox, Vasileios Lampos:
E-NER - An Annotated Named Entity Recognition Corpus of Legal Text. CoRR abs/2212.09306 (2022) - 2021
- [j4]Vasileios Lampos
Tracking COVID-19 using online search. npj Digit. Medicine 4 (2021) - [i8]Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos:
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. CoRR abs/2105.12433 (2021) - 2020
- [i7]Vasileios Lampos, Simon Moura, Elad Yom-Tov, Michael Edelstein, Maimuna S. Majumder, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. CoRR abs/2003.08086 (2020) - [i6]Elad Yom-Tov, Vasileios Lampos, Ingemar J. Cox, Michael Edelstein:
Providing early indication of regional anomalies in COVID19 case counts in England using search engine queries. CoRR abs/2007.11821 (2020)
2010 – 2019
- 2019
- [c18]Vincent Primault, Vasileios Lampos
Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor. WWW 2019: 1487-1497 - [c17]Bin Zou, Vasileios Lampos
Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data. WWW 2019: 2505-2516 - 2018
- [c16]Lucie Flekova, Vasileios Lampos, Ingemar J. Cox:
Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms. SMM4H@EMNLP 2018: 17-21 - [c15]Bin Zou, Vasileios Lampos
Multi-Task Learning Improves Disease Models from Web Search. WWW 2018: 87-96 - 2017
- [c14]Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox
WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017. WSDM 2017: 825-826 - [c13]Vasileios Lampos
Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance. WWW 2017: 695-704 - [c12]Bin Zou, Vasileios Lampos
A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) 2017: 885-886 - [i5]Vasileios Lampos:
Assessing public health interventions using Web content. CoRR abs/1712.08076 (2017) - 2016
- [j3]Nikolaos Aletras
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. PeerJ Comput. Sci. 2: e93 (2016) - [c11]Vasileios Lampos
Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language. ECIR 2016: 689-695 - [c10]Bin Zou, Vasileios Lampos
On Infectious Intestinal Disease Surveillance using Social Media Content. Digital Health 2016: 157-161 - [i4]Vasileios Lampos
Flu Detector: Estimating influenza-like illness rates from online user-generated content. CoRR abs/1612.03494 (2016) - 2015
- [j2]Vasileios Lampos
Assessing the impact of a health intervention via user-generated Internet content. Data Min. Knowl. Discov. 29(5): 1434-1457 (2015) - [c9]Daniel Preotiuc-Pietro, Vasileios Lampos
An analysis of the user occupational class through Twitter content. ACL (1) 2015: 1754-1764 - [c8]Elad Yom-Tov, Ingemar Johansson Cox
Learning About Health and Medicine from Internet Data. WSDM 2015: 417-418 - 2014
- [c7]Vasileios Lampos
Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. LTCSS@ACL 2014: 13-17 - [c6]Vasileios Lampos
Predicting and Characterising User Impact on Twitter. EACL 2014: 405-413 - 2013
- [c5]Vasileios Lampos, Daniel Preotiuc-Pietro, Trevor Cohn:
A user-centric model of voting intention from Social Media. ACL (1) 2013: 993-1003 - [c4]Alberto Acerbi
Robustness of emotion extraction from 20th century English books. IEEE BigData 2013: 1-8 - [i3]Vasileios Lampos
Analysing Mood Patterns in the United Kingdom through Twitter Content. CoRR abs/1304.5507 (2013) - 2012
- [j1]Vasileios Lampos
Nowcasting Events from the Social Web with Statistical Learning. ACM Trans. Intell. Syst. Technol. 3(4): 72:1-72:22 (2012) - [c3]Thomas Lansdall-Welfare
Effects of the recession on public mood in the UK. WWW (Companion Volume) 2012: 1221-1226 - [i2]Vasileios Lampos
On voting intentions inference from Twitter content: a case study on UK 2010 General Election. CoRR abs/1204.0423 (2012) - [i1]Vasileios Lampos
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods. CoRR abs/1208.2873 (2012) - 2010
- [c2]Vasileios Lampos
Tracking the flu pandemic by monitoring the social web. CIP 2010: 411-416 - [c1]Vasileios Lampos
Flu Detector - Tracking Epidemics on Twitter. ECML/PKDD (3) 2010: 599-602
Coauthor Index
aka: Ingemar Johansson Cox
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last updated on 2024-10-08 21:27 CEST by the dblp team
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