@inproceedings{shu2026sonnet,title={{Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting}},author={Shu, Yuxuan and Lampos, Vasileios},booktitle={Proc. of the AAAI Conference on Artificial Intelligence},volume={40},number={30},pages={25419--25427},year={2026},doi={10.1609/aaai.v40i30.39736},}
From Jumps to Signatures: a Generative Method for Temporal Point Processes
@article{kotlarek2026sigtpp,title={{From Jumps to Signatures: a Generative Method for Temporal Point Processes}},author={Cariou-Kotlarek, Niels and Lampos, Vasileios},journal={Preprint},doi={10.48550/arXiv:2607.06652},year={2026},}
Optimising antibiotic switching via forecasting of patient physiology
Magnus
Ross, Nel
Swanepoel, Akish
Luintel, Emma
McGuire, Ingemar J.
Cox, Steve
Harris, and Vasileios
Lampos
@article{ross2026ivos,title={{Optimising antibiotic switching via forecasting of patient physiology}},author={Ross, Magnus and Swanepoel, Nel and Luintel, Akish and McGuire, Emma and Cox, Ingemar J. and Harris, Steve and Lampos, Vasileios},year={2026},journal={Preprint},doi={10.48550/arXiv.2603.08242},}
@article{shu2025deformtime,title={{DeformTime: capturing variable dependencies with deformable attention for time series forecasting}},author={Shu, Yuxuan and Lampos, Vasileios},journal={Transactions on Machine Learning Research},issn={2835-8856},year={2025},url={https://openreview.net/forum?id=M62P7iOT7d},}
EMNLP
Machine-generated text detection prevents language model collapse
@inproceedings{Drayson2025,author={Drayson, George and Yilmaz, Emine and Lampos, Vasileios},title={{Machine-generated text detection prevents language model collapse}},booktitle={Proc. of the 2025 Conference on Empirical Methods in Natural Language Processing},year={2025},pages={29645--29661},doi={10.18653/v1/2025.emnlp-main.1506},}
Expediting Switches from Intravenous to Oral Antimicrobial Therapy with Neural Processes
Magnus
Ross, Nel
Swanepoel, Akish
Luintel, Emma
McGuire, Ingemar J.
Cox, Steve
Harris, and Vasileios
Lampos
In Proc. of the 4th annual Machine Learning for Health Symposium, 2025
@inproceedings{Ross2025,title={Expediting Switches from Intravenous to Oral Antimicrobial Therapy with Neural Processes},author={Ross, Magnus and Swanepoel, Nel and Luintel, Akish and McGuire, Emma and Cox, Ingemar J. and Harris, Steve and Lampos, Vasileios},booktitle={Proc. of the 4th annual Machine Learning for Health Symposium},year={2025},url={https://openreview.net/pdf?id=j8wsqyowid},}
Foundation Models for Biosignals: A Survey
Xiao
Gu, Yuxuan
Shu, Jinpei
Han, Yuxuan
Liu, Zhangdaihong
Liu, James
Anibal, Veer
Sangha, Edward
Phillips, Bradley
Segal, Hang
Yuan, Fenglin
Liu, Kim
Branson, Patrick
Schwab, Danielle
Belgrave, Lei
Clifton, Dimitris
Spathis, Vasileios
Lampos, A. Aldo
Faisal, and David A.
Clifton
@article{gu2025foundation,title={{Foundation Models for Biosignals: A Survey}},author={Gu, Xiao and Shu, Yuxuan and Han, Jinpei and Liu, Yuxuan and Liu, Zhangdaihong and Anibal, James and Sangha, Veer and Phillips, Edward and Segal, Bradley and Yuan, Hang and Liu, Fenglin and Branson, Kim and Schwab, Patrick and Belgrave, Danielle and Clifton, Lei and Spathis, Dimitris and Lampos, Vasileios and Faisal, A. Aldo and Clifton, David A.},journal={Preprint},year={2025},doi={10.36227/techrxiv.175606236.62808131/v1},}
Modelling the Spread of New Information on X
Ziming
Xu, Shi
Zhou, Vasileios
Lampos, and Ingemar J.
Cox
@article{xu2025repost,title={{Modelling the Spread of New Information on X}},author={Xu, Ziming and Zhou, Shi and Lampos, Vasileios and Cox, Ingemar J.},journal={Preprint},url={https://arxiv.org/pdf/2505.15370},doi={10.48550/arXiv.2505.15370},year={2025}}
2024
Using online search activity for earlier detection of gynaecological malignancy
Jennifer F
Barcroft, Elad
Yom-Tov, Vasilieos
Lampos, Laura Burney
Ellis, David
Guzman, Vı́ctor
Ponce-López, Tom
Bourne, Ingemar J
Cox, and Srdjan
Saso
@article{Barcroft2024,title={{Using online search activity for earlier detection of gynaecological malignancy}},author={Barcroft, Jennifer F and Yom-Tov, Elad and Lampos, Vasilieos and Ellis, Laura Burney and Guzman, David and Ponce-L{\'o}pez, V{\'\i}ctor and Bourne, Tom and Cox, Ingemar J and Saso, Srdjan},journal={BMC Public Health},volume={24},number={608},doi={10.1186/s12889-024-17673-0},year={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
House, Thomas
Finnie, David
Guzman, Vasileios
Lampos, and Ingemar J
Cox
@article{dhiman2024,title={{Estimating the household secondary attack rate and serial interval of COVID-19 using social media}},author={Dhiman, Aarzoo and Yom-Tov, Elad and Pellis, Lorenzo and Edelstein, Michael and Pebody, Richard and Hayward, Andrew and House, Thomas and Finnie, Thomas and Guzman, David and Lampos, Vasileios and Cox, Ingemar J},journal={npj Digital Medicine},volume={7},number={194},year={2024},doi={10.1038/s41746-024-01160-2},}
Unsupervised hard Negative Augmentation for contrastive learning
@article{shu2024unsupervised,title={{Unsupervised hard Negative Augmentation for contrastive learning}},author={Shu, Yuxuan and Lampos, Vasileios},journal={Preprint},doi={10.48550/arXiv.2401.02594},year={2024},}
2023
Vincent Grigori
Nguyen, Alexei
Yavlinsky, Sarah
Beale, Susan
Hoskins, Thomas E
Byrne, Vasileios
Lampos, Isobel
Braithwaite, Wing Lam Erica
Fong, Ellen
Fragaszy, Cyril
Geismar, and
others
@article{nguyen2023comparative,booktitle={{Comparative effectiveness of different primary vaccination courses on mRNA-based booster vaccines against SARs-COV-2 infections: a time-varying cohort analysis using trial emulation in the Virus Watch community cohort}},author={Nguyen, Vincent Grigori and Yavlinsky, Alexei and Beale, Sarah and Hoskins, Susan and Byrne, Thomas E and Lampos, Vasileios and Braithwaite, Isobel and Fong, Wing Lam Erica and Fragaszy, Ellen and Geismar, Cyril and others},journal={International Journal of Epidemiology},volume={52},number={2},pages={342--354},year={2023},doi={10.1093/ije/dyad002},}
@article{Morris2023,doi={10.1371/journal.pcbi.1011392},author={Morris, Michael and Hayes, Peter and Cox, Ingemar J. and Lampos, Vasileios},journal={PLOS Computational Biology},title={{Neural network models for influenza forecasting with associated uncertainty using Web search activity trends}},year={2023},volume={19},number={8},pages={e1011392},}
2022
E-NER — An Annotated Named Entity Recognition Corpus of Legal Text
Ting Wai Terence
Au, Vasileios
Lampos, and Ingemar
Cox
In Proc. of the Natural Legal Language Processing Workshop 2022, 2022
@inproceedings{Au2022,title={{E}-{NER} {---} An Annotated Named Entity Recognition Corpus of Legal Text},author={Au, Ting Wai Terence and Lampos, Vasileios and Cox, Ingemar},booktitle={Proc. of the Natural Legal Language Processing Workshop 2022},year={2022},doi={10.18653/v1/2022.nllp-1.22},pages={246--255},}
@article{YomTov2022anom,title={{Providing early indication of regional anomalies in COVID-19 case counts in England using search engine queries}},author={Yom-Tov, Elad and Lampos, Vasileios and Inns, Thomas and Cox, Ingemar J. and Edelstein, Michael},journal={Scientific Reports},year={2022},doi={10.1038/s41598-022-06340-2},volume={12},number={2373}}
Symptom profiles and accuracy of clinical definitions for COVID-19 in the community. Results of the Virus Watch community cohort
Ellen
Fragaszy, Madhumita
Shrotri, Cyril
Geismar, Anna
Aryee, Sarah
Beale, Isobel
Braithwaite, Thomas
Byrne, Wing Lam Erica
Fong, Jo
Gibbs, Pia
Hardelid, Jana
Kovar, Vasileios
Lampos, Eleni
Nastouli, Annalan M D
Navaratnam, Vincent
Nguyen, Parth
Patel, Robert W
Aldridge, and Andrew
Hayward
@article{Fragaszy2022,author={Fragaszy, Ellen and Shrotri, Madhumita and Geismar, Cyril and Aryee, Anna and Beale, Sarah and Braithwaite, Isobel and Byrne, Thomas and Fong, Wing Lam Erica and Gibbs, Jo and Hardelid, Pia and Kovar, Jana and Lampos, Vasileios and Nastouli, Eleni and Navaratnam, Annalan M D and Nguyen, Vincent and Patel, Parth and Aldridge, Robert W and Hayward, Andrew},title={{Symptom profiles and accuracy of clinical definitions for COVID-19 in the community. Results of the Virus Watch community cohort}},year={2022},doi={10.12688/wellcomeopenres.17479.1},journal={Wellcome Open Research},volume={7},number={84},}
Vasileios
Lampos, Maimuna S.
Majumder, Elad
Yom-Tov, Michael
Edelstein, Simon
Moura, Yohhei
Hamada, Molebogeng X.
Rangaka, Rachel A.
McKendry, and Ingemar J.
Cox
@article{Lampos2021covid,title={{Tracking COVID-19 using online search}},author={Lampos, Vasileios and Majumder, Maimuna S. and Yom-Tov, Elad and Edelstein, Michael and Moura, Simon and Hamada, Yohhei and Rangaka, Molebogeng X. and McKendry, Rachel A. and Cox, Ingemar J.},journal={npj Digital Medicine},year={2021},doi={10.1038/s41746-021-00384-w},volume={4},number={17},}
An artificial intelligence approach for selecting effective teacher communication strategies in autism education
@article{Lampos2021autism,title={{An artificial intelligence approach for selecting effective teacher communication strategies in autism education}},author={Lampos, Vasileios and Mintz, Joseph and Qu, Xiao},journal={npj Science of Learning},year={2021},doi={10.1038/s41539-021-00102-x},volume={6},number={25},}
What online searches tell us about public interest and potential impact on behaviour in response to Minimum Unit Pricing of alcohol in Scotland
David
Leon, Elad
Yom-Tov, Anne
Johnson, Mark
Petticrew, Elizabeth
Williamson, Vasileios
Lampos, and Ingemar
Cox
@article{Leon2021,author={Leon, David and Yom-Tov, Elad and Johnson, Anne and Petticrew, Mark and Williamson, Elizabeth and Lampos, Vasileios and Cox, Ingemar},title={{What online searches tell us about public interest and potential impact on behaviour in response to Minimum Unit Pricing of alcohol in Scotland}},journal={Addiction},year={2021},volume={116},pages={2008--2015},doi={10.1111/add.15388},}
The impact of social and physical distancing measures on COVID-19 activity in England: findings from a multi-tiered surveillance system
Jamie Lopez
Bernal, Mary A
Sinnathamby, Suzanne
Elgohari, Hongxin
Zhao, Chinelo
Obi, Laura
Coughlan, Vasileios
Lampos, Ruth
Simmons, Elise
Tessier, Helen
Campbell, Suzanna
McDonald, Joanna
Ellis, Helen
Hughes, Gillian
Smith, Mark
Joy, Manasa
Tripathy, Rachel
Byford, Filipa
Ferreira, Simon
Lusignan, Maria
Zambon, and
9 more authors
@article{Bernal2021,author={Bernal, Jamie Lopez and Sinnathamby, Mary A and Elgohari, Suzanne and Zhao, Hongxin and Obi, Chinelo and Coughlan, Laura and Lampos, Vasileios and Simmons, Ruth and Tessier, Elise and Campbell, Helen and McDonald, Suzanna and Ellis, Joanna and Hughes, Helen and Smith, Gillian and Joy, Mark and Tripathy, Manasa and Byford, Rachel and Ferreira, Filipa and de Lusignan, Simon and Zambon, Maria and Dabrera, Gavin and Brown, Kevin and Saliba, Vanessa and Andrews, Nick and Amirthalingam, Gayatri and Mandal, Sema and Edelstein, Michael and Elliot, Alex J and Ramsay, Mary},title={{The impact of social and physical distancing measures on COVID-19 activity in England: findings from a multi-tiered surveillance system}},journal={Eurosurveillance},year={2021},volume={26},number={11},pages={2001062},doi={10.2807/1560-7917.ES.2021.26.11.2001062},}
Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study
Andrew
Hayward, Ellen
Fragaszy, Jana
Kovar, Vincent
Nguyen, Sarah
Beale, Thomas
Byrne, Anna
Aryee, Pia
Hardelid, Linda
Wijlaars, Wing Lam Erica
Fong, Cyril
Geismar, Parth
Patel, Madhumita
Shrotri, Annalan M D
Navaratnam, Eleni
Nastouli, Moira
Spyer, Ben
Killingley, Ingemar
Cox, Vasileios
Lampos, Rachel A
McKendry, and
8 more authors
@article{Hayward2021,author={Hayward, Andrew and Fragaszy, Ellen and Kovar, Jana and Nguyen, Vincent and Beale, Sarah and Byrne, Thomas and Aryee, Anna and Hardelid, Pia and Wijlaars, Linda and Fong, Wing Lam Erica and Geismar, Cyril and Patel, Parth and Shrotri, Madhumita and Navaratnam, Annalan M D and Nastouli, Eleni and Spyer, Moira and Killingley, Ben and Cox, Ingemar and Lampos, Vasileios and McKendry, Rachel A and Liu, Yunzhe and Cheng, Tao and Johnson, Anne M and Michie, Susan and Gibbs, Jo and Gilson, Richard and Rodger, Alison and Aldridge, Robert W},title={{Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study}},volume={11},number={6},year={2021},doi={10.1136/bmjopen-2020-048042},journal={BMJ Open},}
Serial interval of COVID-19 and the effect of Variant B.1.1.7: analyses from prospective community cohort study (Virus Watch)
Cyril
Geismar, Ellen
Fragaszy, Vincent
Nguyen, Wing Lam Erica
Fong, Madhumita
Shrotri, Sarah
Beale, Alison
Rodger, Vasileios
Lampos, Thomas
Byrne, Jana
Kovar, Annalan M D
Navaratnam, Parth
Patel, Robert W
Aldridge, and Andrew
Hayward
@article{Geismar2021,author={Geismar, Cyril and Fragaszy, Ellen and Nguyen, Vincent and Fong, Wing Lam Erica and Shrotri, Madhumita and Beale, Sarah and Rodger, Alison and Lampos, Vasileios and Byrne, Thomas and Kovar, Jana and Navaratnam, Annalan M D and Patel, Parth and Aldridge, Robert W and Hayward, Andrew},title={{Serial interval of COVID-19 and the effect of Variant B.1.1.7: analyses from prospective community cohort study (Virus Watch)}},year={2021},journal={Wellcome Open Research},volume={6},number={224},doi={10.12688/wellcomeopenres.16974.1},}
Trends, patterns and psychological influences on COVID-19 vaccination intention: findings from a large prospective community cohort study in England and Wales (Virus Watch)
Thomas
Byrne, Parth
Patel, Madhumita
Shrotri, Sarah
Beale, Susan
Michie, Jabeer
Butt, Nicky
Hawkins, Pia
Hardelid, Alison
Rodger, Anna
Aryee, Isobel
Braithwaite, Wing Lam Erica
Fong, Ellen
Fragaszy, Cyril
Geismar, Jana
Kovar, Annalan M.D.
Navaratnam, Vincent
Nguyen, Andrew
Hayward, Robert W.
Aldridge, Linda
Wijlaar, and
11 more authors
@article{Byrne2021,author={Byrne, Thomas and Patel, Parth and Shrotri, Madhumita and Beale, Sarah and Michie, Susan and Butt, Jabeer and Hawkins, Nicky and Hardelid, Pia and Rodger, Alison and Aryee, Anna and Braithwaite, Isobel and Fong, Wing Lam Erica and Fragaszy, Ellen and Geismar, Cyril and Kovar, Jana and Navaratnam, Annalan M.D. and Nguyen, Vincent and Hayward, Andrew and Aldridge, Robert W. and Wijlaar, Linda and Nastouli, Eleni and Spyer, Moira and Killingley, Ben and Cox, Ingemar J. and Lampos, Vasileios and McKendry, Rachel A. and Cheng, Tao and Liu, Yunzhe and Johnson, Anne M. and Gibbs, Jo and Gilson, Richard},title={{Trends, patterns and psychological influences on COVID-19 vaccination intention: findings from a large prospective community cohort study in England and Wales (Virus Watch)}},journal={Vaccine},doi={10.1016/j.vaccine.2021.09.066},year={2021},}
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
Michael
Morris, Peter
Hayes, Ingemar J.
Cox, and Vasileios
Lampos
@article{morris2021estimating,title={{Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity}},author={Morris, Michael and Hayes, Peter and Cox, Ingemar J. and Lampos, Vasileios},year={2021},journal={Preprint},doi={10.48550/arXiv.2105.12433},}
Deprivation and Exposure to Public Activities during the COVID-19 Pandemic in England and Wales
Sarah
Beale, Isobel
Braithwaite, Annalan M D
Navaratnam, Pia
Hardelid, Alison
Rodger, Anna
Aryee, Thomas
Byrne, Wing Lam
Erica Fong, Ellen
Fragaszy, Cyril
Geismar, Jana
Kovar, Vincent
Nguyen, Parth
Patel, Madhumita
Shrotri, Robert W
Aldridge, Andrew
Hayward, Susan
Michie, Linda
Wijlaars, Eleni
Nastouli, Moira
Spyer, and
9 more authors
@article{Beale2021,author={Beale, Sarah and Braithwaite, Isobel and Navaratnam, Annalan M D and Hardelid, Pia and Rodger, Alison and Aryee, Anna and Byrne, Thomas and Erica Fong, Wing Lam and Fragaszy, Ellen and Geismar, Cyril and Kovar, Jana and Nguyen, Vincent and Patel, Parth and Shrotri, Madhumita and Aldridge, Robert W and Hayward, Andrew and Michie, Susan and Wijlaars, Linda and Nastouli, Eleni and Spyer, Moira and Killingley, Ben and Cox, Ingemar and Lampos, Vasileios and McKendry, Rachel A and Cheng, Tao and Liu, Yunzhe and Johnson, Anne M and Gibbs, Jo and Gilson, Richard},title={{Deprivation and Exposure to Public Activities during the COVID-19 Pandemic in England and Wales}},year={2021},doi={10.1101/2021.04.26.21255732},journal={medRxiv}}
Digital technologies in the public health response to COVID-19
Jobie
Budd, Benjamin
Miller, Erin
Manning, Vasileios
Lampos, Mengdie
Zhuang, Michael
Edelstein, Geraint
Rees, Vince
Emery, Molly M.
Stevens, Neil
Keegan, Michael
Short, Deenan
Pillay, Ed
Manley, Ingemar J.
Cox, David
Heymann, Anne M.
Johnson, and Rachel A.
McKendry
@article{Budd2020,author={Budd, Jobie and Miller, Benjamin and Manning, Erin and Lampos, Vasileios and Zhuang, Mengdie and Edelstein, Michael and Rees, Geraint and Emery, Vince and Stevens, Molly M. and Keegan, Neil and Short, Michael and Pillay, Deenan and Manley, Ed and Cox, Ingemar J. and Heymann, David and Johnson, Anne M. and McKendry, Rachel A.},title={{Digital technologies in the public health response to COVID-19}},journal={Nature Medicine},year={2020},volume={26},pages={1183–-1192},doi={10.1038/s41591-020-1011-4},}
2019
WWW
Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data
@inproceedings{Zou2019,author={Zou, Bin and Lampos, Vasileios and Cox, Ingemar J.},title={{Transfer Learning for Unsupervised Influenza-like Illness Models from Online Search Data}},booktitle={Proc. of the 28th International Web Conference},year={2019},pages={2505--2516},doi={10.1145/3308558.3313477},}
WWW
Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor
Vincent
Primault, Vasileios
Lampos, Ingemar J.
Cox, and Emiliano
De Cristofaro
In Proc. of the 28th International Web Conference, 2019
@inproceedings{Primault2019,author={Primault, Vincent and Lampos, Vasileios and Cox, Ingemar J. and De Cristofaro, Emiliano},title={{Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor}},booktitle={Proc. of the 28th International Web Conference},year={2019},pages={1487--1497},doi={10.1145/3308558.3313474},}
2018
WWW
Multi-Task Learning Improves Disease Models from Web Search
@inproceedings{Zou2018,author={Zou, Bin and Lampos, Vasileios and Cox, Ingemar J.},title={{Multi-Task Learning Improves Disease Models from Web Search}},booktitle={Proc. of the 2018 World Wide Web Conference},pages={87--96},year={2018},doi={10.1145/3178876.3186050},}
Changes in psycholinguistic attributes of social media users before, during, and after self-reported influenza symptoms
Lucie
Flekova, Vasileios
Lampos, and Ingemar J.
Cox
In Proc. of the EMNLP Workshop on Social Media Mining for Health Applications, 2018
@inproceedings{Flekova2018,author={Flekova, Lucie and Lampos, Vasileios and Cox, Ingemar J.},title={{Changes in psycholinguistic attributes of social media users before, during, and after self-reported influenza symptoms}},booktitle={Proc. of the EMNLP Workshop on Social Media Mining for Health Applications},year={2018},pages={17--21},doi={10.18653/v1/W18-5905},}
@article{Wagner2018,author={Wagner, Moritz and Lampos, Vasileios and Cox, Ingemar J. and Pebody, Richard},doi={10.1038/s41598-018-32029-6},journal={Scientific Reports},number={13963},title={{The added value of online user-generated content in traditional methods for influenza surveillance}},volume={8},year={2018},}
@misc{Lampos2018embd,title={{Data set: UK Twitter word embeddings II}},author={Lampos, Vasileios},publisher={Figshare},doi={10.6084/m9.figshare.5791650.v1},year={2018}}
2017
WWW
Enhancing feature selection using word embeddings: The case of flu surveillance
@inproceedings{Lampos2017,author={Lampos, Vasileios and Zou, Bin and Cox, Ingemar J.},title={{Enhancing feature selection using word embeddings: The case of flu surveillance}},booktitle={Proc. of the 26th International World Wide Web Conference},pages={695--704},year={2017},doi={10.1145/3038912.3052622},}
WWW
A Concept Language Model for Ad-hoc Retrieval
Bin
Zou, Vasileios
Lampos, Shangsong
Liang, Zhaochun
Ren, Emine
Yilmaz, and Ingemar J.
Cox
In Proc. of the 26th International World Wide Web Conference (Companion), 2017
@inproceedings{Zou2017,author={Zou, Bin and Lampos, Vasileios and Liang, Shangsong and Ren, Zhaochun and Yilmaz, Emine and Cox, Ingemar J.},title={{A Concept Language Model for Ad-hoc Retrieval}},booktitle={Proc. of the 26th International World Wide Web Conference (Companion)},pages={885--886},year={2017},doi={10.1145/3041021.3054209},paper={papers/zou2017-concept-LM.pdf}}
WSDM 2017 Workshop on Mining Online Health Reports
Nigel
Collier, Nut
Limsopatham, Aron
Culotta, Mike
Conway, Ingemar J.
Cox, and Vasileios
Lampos
In Proc. of the 10th ACM International Conference on Web Search and Data Mining, 2017
@inproceedings{Collier2017,author={Collier, Nigel and Limsopatham, Nut and Culotta, Aron and Conway, Mike and Cox, Ingemar J. and Lampos, Vasileios},title={{WSDM 2017 Workshop on Mining Online Health Reports}},booktitle={Proc. of the 10th ACM International Conference on Web Search and Data Mining},pages={825--826},year={2017},doi={10.1145/3018661.3022761},}
@article{Wagner2017JMIR,author={Wagner, Moritz and Lampos, Vasileios and Yom-Tov, Elad and Pebody, Richard and Cox, Ingemar J.},title={{Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content}},journal={Journal of Medical Internet Research},year={2017},volume={19},pages={e416},number={12},doi={10.2196/jmir.8184},}
Assessing public health interventions using Web content
@article{Lampos2017impAbstract,title={{Assessing public health interventions using Web content}},author={Lampos, Vasileios},journal={Preprint},year={2017},url={https://arxiv.org/pdf/1712.08076.pdf}}
2016
Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective
Nikolaos
Aletras, Dimitrios
Tsarapatsanis, Daniel
Preoţiuc-Pietro, and Vasileios
Lampos
@article{Aletras2016ECtHR,author={Aletras, Nikolaos and Tsarapatsanis, Dimitrios and Preo\c{t}iuc-Pietro, Daniel and Lampos, Vasileios},title={{Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective}},journal={PeerJ Computer Science},year={2016},doi={10.7717/peerj-cs.93},volume={2},pages={e93},}
Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language
Vasileios
Lampos, Nikolaos
Aletras, Jens K.
Geyti, Bin
Zou, and Ingemar J.
Cox
In Proc. of the 38th European Conference on Information Retrieval, 2016
@inproceedings{Lampos2016ecir,author={Lampos, Vasileios and Aletras, Nikolaos and Geyti, Jens K. and Zou, Bin and Cox, Ingemar J.},title={{Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language}},booktitle={Proc. of the 38th European Conference on Information Retrieval},pages={689--695},doi={10.1007/978-3-319-30671-1_54},year={2016},}
On Infectious Intestinal Disease Surveillance using Social Media Content
Bin
Zou, Vasileios
Lampos, Russell
Gorton, and Ingemar J.
Cox
In Proc. of the 6th International Conference on Digital Health, 2016
@inproceedings{Zou2016DH,author={Zou, Bin and Lampos, Vasileios and Gorton, Russell and Cox, Ingemar J.},title={{On Infectious Intestinal Disease Surveillance using Social Media Content}},booktitle={Proc. of the 6th International Conference on Digital Health},pages={157--161},doi={10.1145/2896338.2896372},year={2016},}
Flu Detector: Estimating influenza-like illness rates from online user-generated content
@misc{Lampos2016embd,title={{Data set: UK Twitter word embeddings}},author={Lampos, Vasileios},publisher={Figshare},doi={10.6084/m9.figshare.4052331.v1},entrysubtype={dataset},url={https://iris.ucl.ac.uk/iris/publication/1186069/1},year={2016}}
@article{Lampos2015GFT,author={Lampos, Vasileios and Miller, Andrew C. and Crossan, Steve and Stefansen, Christian},title={{Advances in nowcasting influenza-like illness rates using search query logs}},journal={Scientific Reports},year={2015},doi={10.1038/srep12760},volume={5},number={12760},}
ACL
An analysis of the user occupational class through Twitter content
Daniel
Preoţiuc-Pietro, Vasileios
Lampos, and Nikolaos
Aletras
In Proc. of the 53rd Annual Meeting of the Association for Computational Linguistics, 2015
@inproceedings{Preotiuc2015jobs,author={Preo{\c{t}}iuc-Pietro, Daniel and Lampos, Vasileios and Aletras, Nikolaos},title={{An analysis of the user occupational class through Twitter content}},booktitle={Proc. of the 53rd Annual Meeting of the Association for Computational Linguistics},pages={1754--1764},year={2015},doi={10.3115/v1/P15-1169},}
Learning About Health and Medicine from Internet Data
Elad
Yom-Tov, Ingemar J.
Cox, and Vasileios
Lampos
In Proc. of the 8th ACM International Conference on Web Search and Data Mining, 2015
@inproceedings{YomTov2015tutorial,author={Yom-Tov, Elad and Cox, Ingemar J. and Lampos, Vasileios},title={{Learning About Health and Medicine from Internet Data}},booktitle={Proc. of the 8th ACM International Conference on Web Search and Data Mining},year={2015},pages={417--418},doi={10.1145/2684822.2697042},}
@article{Preotiuc2015income,author={Preo\c{t}iuc-Pietro, Daniel and Volkova, Svitlana and Lampos, Vasileios and Bachrach, Yoram and Aletras, Nikolaos},journal={PLOS ONE},title={{Studying User Income through Language, Behaviour and Affect in Social Media}},year={2015},volume={10},pages={e0138717},number={9},doi={10.1371/journal.pone.0138717},}
Assessing the impact of a health intervention via user-generated Internet content
Vasileios
Lampos, Elad
Yom-Tov, Richard
Pebody, and Ingemar J.
Cox
@article{Lampos2015Intervention,author={Lampos, Vasileios and Yom-Tov, Elad and Pebody, Richard and Cox, Ingemar J.},title={{Assessing the impact of a health intervention via user-generated Internet content}},journal={Data Mining and Knowledge Discovery},year={2015},volume={29},number={5},pages={1434--1457},doi={10.1007/s10618-015-0427-9},}
Estimating the Secondary Attack Rate and Serial Interval of Influenza-Like Illnesses using Social Media
Elad
Yom-Tov, Ingemar J.
Cox, Vasileios
Lampos, and Andrew C.
Hayward
@article{YomTov2015sar,author={Yom-Tov, Elad and Cox, Ingemar J. and Lampos, Vasileios and Hayward, Andrew C.},title={{Estimating the Secondary Attack Rate and Serial Interval of Influenza-Like Illnesses using Social Media}},journal={Influenza and Other Respiratory Viruses},year={2015},pages={191--199},volume={9},number={4},doi={10.1111/irv.12321},}
Data set: Socioeconomic status classification of social media users
Vasileios
Lampos, Nikolaos
Aletras, Jens K.
Geyti, Bin
Zou, and Ingemar J.
Cox
@misc{Lampos2015ses,title={{Data set: Socioeconomic status classification of social media users}},author={Lampos, Vasileios and Aletras, Nikolaos and Geyti, Jens K. and Zou, Bin and Cox, Ingemar J.},publisher={Figshare},doi={10.6084/m9.figshare.1619703.v2},entrysubtype={dataset},url={https://iris.ucl.ac.uk/iris/publication/1111021/1},year={2015}}
2014
EACL
Predicting and Characterising User Impact on Twitter
Vasileios
Lampos, Nikolaos
Aletras, Daniel
Preoţiuc-Pietro, and Trevor
Cohn
In Proc. of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014
@inproceedings{Lampos2014impact,author={Lampos, Vasileios and Aletras, Nikolaos and Preo{\c{t}}iuc-Pietro, Daniel and Cohn, Trevor},title={{Predicting and Characterising User Impact on Twitter}},booktitle={Proc. of the 14th Conference of the European Chapter of the Association for Computational Linguistics},year={2014},pages={405--413},doi={10.3115/v1/E14-1043},}
Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly
Vasileios
Lampos, Daniel
Preoţiuc-Pietro, Sina
Samangooei, Douwe
Gelling, and Trevor
Cohn
In Proc. of the ACL 2014 Workshop on Language Technologies and Computational Social Science, 2014
@inproceedings{Lampos2014news,author={Lampos, Vasileios and Preo\c{t}iuc-Pietro, Daniel and Samangooei, Sina and Gelling, Douwe and Cohn, Trevor},title={{Extracting Socioeconomic Patterns from the News: Modelling Text and Outlet Importance Jointly}},booktitle={Proc. of the ACL 2014 Workshop on Language Technologies and Computational Social Science},year={2014},pages={13--17},doi={10.3115/v1/W14-2507},}
@article{Bentley2014emotions,author={Bentley, Alexander R. and Acerbi, Alberto and Ormerod, Paul and Lampos, Vasileios},journal={PLOS ONE},title={{Books Average Previous Decade of Economic Misery}},year={2014},volume={9},pages={e83147},number={1},doi={10.1371/journal.pone.0083147},}
2013
ACL
A user-centric model of voting intention from Social Media
Vasileios
Lampos, Daniel
Preoţiuc-Pietro, and Trevor
Cohn
In Proc. of the 51st Annual Meeting of the Association for Computational Linguistics, 2013
@inproceedings{Lampos2013bilinear,author={Lampos, Vasileios and Preo\c{t}iuc-Pietro, Daniel and Cohn, Trevor},title={{A user-centric model of voting intention from Social Media}},booktitle={Proc. of the 51st Annual Meeting of the Association for Computational Linguistics},year={2013},pages={993--1003},url={http://www.aclweb.org/anthology/P13-1098},}
Robustness of emotion extraction from 20th century English books
Alberto
Acerbi, Vasileios
Lampos, and Alexander R.
Bentley
In Proc. of 2013 IEEE International Conference on Big Data, 2013
@inproceedings{Acerbi2013robust,author={Acerbi, Alberto and Lampos, Vasileios and Bentley, Alexander R.},booktitle={Proc. of 2013 IEEE International Conference on Big Data},title={{Robustness of emotion extraction from 20th century English books}},year={2013},pages={1--8},doi={10.1109/BigData.2013.6691663},}
@article{Acerbi2013emotions,author={Acerbi, Alberto and Lampos, Vasileios and Garnett, Philip and Bentley, Alexander R.},journal={PLOS ONE},title={{The Expression of Emotions in 20th Century Books}},year={2013},volume={8},pages={e59030},number={3},doi={10.1371/journal.pone.0059030},}
Analysing mood patterns in the United Kingdom through Twitter content
Vasileios
Lampos, Thomas
Lansdall-Welfare, Ricardo
Araya, and Nello
Cristianini
@article{Lampos2013analysing,title={{Analysing mood patterns in the United Kingdom through Twitter content}},author={Lampos, Vasileios and Lansdall-Welfare, Thomas and Araya, Ricardo and Cristianini, Nello},journal={Preprint},year={2013},doi={https://doi.org/10.48550/arXiv.1304.5507},}
2012
Effects of the Recession on Public Mood in the UK
Thomas
Lansdall-Welfare, Vasileios
Lampos, and Nello
Cristianini
In Proc. of the 21st International Conference on World Wide Web (Companion), 2012
@inproceedings{LWelfare2012a,author={Lansdall-Welfare, Thomas and Lampos, Vasileios and Cristianini, Nello},title={{Effects of the Recession on Public Mood in the UK}},booktitle={Proc. of the 21st International Conference on World Wide Web (Companion)},year={2012},pages={1221--1226},doi={10.1145/2187980.2188264},}
@article{Lampos2012Nowcasting,author={Lampos, Vasileios and Cristianini, Nello},title={{Nowcasting Events from the Social Web with Statistical Learning}},journal={ACM Transactions on Intelligent Systems and Technology},volume={3},number={4},year={2012},pages={72:1--72:22},doi={10.1145/2337542.2337557},}
Nowcasting the mood of the nation
Thomas
Lansdall-Welfare, Vasileios
Lampos, and Nello
Cristianini
@article{Lansdall2012nowcasting,title={{Nowcasting the mood of the nation}},author={Lansdall-Welfare, Thomas and Lampos, Vasileios and Cristianini, Nello},journal={Significance},volume={9},number={4},pages={26--28},year={2012},doi={10.1111/j.1740-9713.2012.00588.x},}
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods
@phdthesis{Lampos2012thesis,title={{Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods}},author={Lampos, Vasileios},school={University of Bristol},year={2012},url={http://arxiv.org/abs/1208.2873},type={{Ph.D. Thesis}},}
On voting intentions inference from Twitter content: a case study on UK 2010 General Election
@article{Lampos2012voting,title={{On voting intentions inference from Twitter content: a case study on UK 2010 General Election}},author={Lampos, Vasileios},journal={Preprint},year={2012},doi={10.48550/arXiv.1204.0423},}
2010
Tracking the flu pandemic by monitoring the Social Web
Vasileios
Lampos and Nello
Cristianini
In Proc. of the 2nd International Workshop on Cognitive Information Processing, 2010
@inproceedings{Lampos2010a,author={Lampos, Vasileios and Cristianini, Nello},booktitle={Proc. of the 2nd International Workshop on Cognitive Information Processing},title={{Tracking the flu pandemic by monitoring the Social Web}},year={2010},pages={411--416},doi={10.1109/CIP.2010.5604088},}
Flu Detector: Tracking Epidemics on Twitter
Vasileios
Lampos, Tijl
De Bie, and Nello
Cristianini
In Proc. of the European Conference on Machine Learning and Knowledge Discovery in Databases, 2010
@inproceedings{Lampos2010b,author={Lampos, Vasileios and De Bie, Tijl and Cristianini, Nello},title={{Flu Detector: Tracking Epidemics on Twitter}},booktitle={Proc. of the European Conference on Machine Learning and Knowledge Discovery in Databases},year={2010},pages={599--602},doi={10.1007/978-3-642-15939-8_42},}