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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, 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:
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, 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) - 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, 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) - [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, 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 - [i5]Vasileios Lampos:
Assessing public health interventions using Web content. CoRR abs/1712.08076 (2017) - 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) - [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 - [i4]Vasileios Lampos:
Flu Detector: Estimating influenza-like illness rates from online user-generated content. CoRR abs/1612.03494 (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) - [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 - [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
- [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) - [c3]Thomas Lansdall-Welfare, Vasileios Lampos, Nello Cristianini:
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, 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
Coauthor Index
aka: Ingemar Johansson Cox
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last updated on 2024-10-08 20:31 CEST by the dblp team
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