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Martin Müller
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Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter
M Müller, M Salathé, PE Kummervold
arXiv preprint arXiv:2005.07503, 2020
2222020
Columnar Mesophases with 3D Order from New Functional Nonconventional Star‐Shaped Mesogens
M Lehmann, M Jahr, FC Grozema, RD Abellon, LDA Siebbeles, M Müller
Advanced Materials 20 (23), 4414-4418, 2008
532008
Crowdbreaks: tracking health trends using public social media data and crowdsourcing
MM Müller, M Salathé
Frontiers in public health 7, 81, 2019
502019
Towards User‐Centered Active Learning Algorithms
J Bernard, M Zeppelzauer, M Lehmann, M Müller, M Sedlmair
Computer Graphics Forum 37 (3), 121-132, 2018
492018
COVID-19 misinformation spread in eight countries: exponential growth modeling study
EO Nsoesie, N Cesare, M Müller, A Ozonoff
Journal of medical Internet research 22 (12), e24425, 2020
322020
Keep calm and carry on vaccinating: Is anti-vaccination sentiment contributing to declining vaccine coverage in England?
M Edelstein, M Müller, S Ladhani, J Yarwood, M Salathé, M Ramsay
Vaccine 38 (33), 5297-5304, 2020
252020
Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning
M Muller, M Schneider, M Salathé, E Vayena
BioRxiv, 802454, 2019
17*2019
Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic
M Müller, M Salathé
arXiv preprint arXiv:2012.02197, 2020
122020
Wet markets and food safety: TripAdvisor for improved global digital surveillance
NE Kogan, I Bolon, N Ray, G Alcoba, JL Fernandez-Marquez, MM Müller, ...
JMIR public health and surveillance 5 (2), e11477, 2019
102019
Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic
F Durazzi, M Müller, M Salathé, D Remondini
Scientific reports 11 (1), 1-11, 2021
92021
Citizen science and online data: Opportunities and challenges for snake ecology and action against snakebite
AM Durso, RR de Castañeda, C Montalcini, MR Mondardini, ...
Toxicon: X 9, 100071, 2021
92021
Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis
K Gligorić, MH Ribeiro, M Müller, O Altunina, M Peyrard, M Salathé, ...
arXiv preprint arXiv:2008.08364, 2020
82020
COVID-Twitter-BERT: a natural language processing model to analyse COVID-19 content on Twitter. arXiv
M Müller, M Salathé, P Kummervold
Preprint posted online on May 15, 2020
52020
Learning from the Best-Visual Analysis of a Quasi-Optimal Data Labeling Strategy.
J Bernard, M Hutter, M Lehmann, M Müller, M Zeppelzauer, M Sedlmair
EuroVis (Short Papers), 95-99, 2018
52018
Summary of Tutorials at The Web Conference 2021
R West, S Bhagat, P Groth, M Zitnik, FM Couto, P Lisena, ...
Companion Proceedings of the Web Conference 2021, 727-733, 2021
22021
International expert communities on Twitter become more isolated during the COVID-19 pandemic
F Durazzi, M Müller, M Salathé, D Remondini
arXiv preprint arXiv:2011.06845, 2020
22020
Clinical imaging of the heterogeneous group of triple-negative breast cancer
M Müller, U Güth, Z Varga, K Reeve, V Bjelic-Radisic, M Fleisch, ...
Anticancer Research 40 (4), 2125-2131, 2020
22020
Cedille: A large autoregressive French language model
M Müller, F Laurent
arXiv preprint arXiv:2202.03371, 2022
12022
Improving multidisciplinary case discussions in humanitarian settings: the MSF-HUG collaborative model
M Ballester, CE Piat, C Salomon, C Jorgenssen, MC Bottineau, M Mueller, ...
SWISS MEDICAL WEEKLY 152, 16S-16S, 2022
2022
On the use of applied machine learning and digital infrastructure to leverage social media data in health and epidemiology
MM Müller
EPFL, 2021
2021
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