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ORCIDVasileios 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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Journal Articles
- 2023
[j5]Michael Morris
, Peter Hayes, Ingemar J. Cox, Vasileios Lampos:
Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLoS Comput. Biol. 19(8) (2023)- 2021
- [j4]Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov, Michael Edelstein, Simon Moura, Yohhei Hamada, Molebogeng X. Rangaka, Rachel A. McKendry, Ingemar J. Cox:
Tracking COVID-19 using online search. npj Digit. Medicine 4 (2021) - 2016
- [j3]Nikolaos Aletras, Dimitrios Tsarapatsanis, Daniel Preotiuc-Pietro, Vasileios Lampos:
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective. PeerJ Comput. Sci. 2: e93 (2016) - 2015
- [j2]Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J. Cox:
Assessing the impact of a health intervention via user-generated Internet content. Data Min. Knowl. Discov. 29(5): 1434-1457 (2015) - 2012
- [j1]Vasileios Lampos, Nello Cristianini:
Nowcasting Events from the Social Web with Statistical Learning. ACM Trans. Intell. Syst. Technol. 3(4): 72:1-72:22 (2012)
Conference and Workshop Papers
- 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 - 2019
- [c18]Vincent Primault, Vasileios Lampos, Ingemar J. Cox, Emiliano De Cristofaro:
Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor. WWW 2019: 1487-1497 - [c17]Bin Zou, Vasileios Lampos, Ingemar J. Cox:
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, Ingemar J. Cox:
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, Vasileios Lampos:
WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017. WSDM 2017: 825-826 - [c13]Vasileios Lampos, Bin Zou, Ingemar Johansson Cox:
Enhancing Feature Selection Using Word Embeddings: The Case of Flu Surveillance. WWW 2017: 695-704 - [c12]Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox:
A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) 2017: 885-886 - 2016
- [c11]Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, Ingemar J. Cox:
Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language. ECIR 2016: 689-695 - [c10]Bin Zou, Vasileios Lampos, Russell Gorton, Ingemar J. Cox:
On Infectious Intestinal Disease Surveillance using Social Media Content. Digital Health 2016: 157-161 - 2015
- [c9]Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras:
An analysis of the user occupational class through Twitter content. ACL (1) 2015: 1754-1764 - [c8]Elad Yom-Tov, Ingemar Johansson Cox, Vasileios Lampos:
Learning About Health and Medicine from Internet Data. WSDM 2015: 417-418 - 2014
- [c7]Vasileios Lampos, Daniel Preotiuc-Pietro, Sina Samangooei, Douwe Gelling, Trevor Cohn:
Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly. LTCSS@ACL 2014: 13-17 - [c6]Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn:
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, Vasileios Lampos, R. Alexander Bentley:
Robustness of emotion extraction from 20th century English books. IEEE BigData 2013: 1-8 - 2012
- [c3]Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini:
Effects of the recession on public mood in the UK. WWW (Companion Volume) 2012: 1221-1226 - 2010
- [c2]Vasileios Lampos, Nello Cristianini:
Tracking the flu pandemic by monitoring the social web. CIP 2010: 411-416 - [c1]Vasileios Lampos, Tijl De Bie, Nello Cristianini:
Flu Detector - Tracking Epidemics on Twitter. ECML/PKDD (3) 2010: 599-602
Informal and Other Publications
- 2024
- [i10]Yuxuan Shu, Vasileios Lampos:
Unsupervised hard Negative Augmentation for contrastive learning. CoRR abs/2401.02594 (2024) - 2022
- [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
- [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) - 2017
- [i5]Vasileios Lampos:
Assessing public health interventions using Web content. CoRR abs/1712.08076 (2017) - 2016
- [i4]Vasileios Lampos:
Flu Detector: Estimating influenza-like illness rates from online user-generated content. CoRR abs/1612.03494 (2016) - 2013
- [i3]Vasileios Lampos, Thomas Lansdall-Welfare, Ricardo Araya, Nello Cristianini:
Analysing Mood Patterns in the United Kingdom through Twitter Content. CoRR abs/1304.5507 (2013) - 2012
- [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)
Coauthor Index
aka: Ingemar Johansson Cox
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