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Martin Müller
Martin Müller
Bestätigte E-Mail-Adresse bei epfl.ch
Titel
Zitiert von
Zitiert von
Jahr
Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter
M Müller, M Salathé, PE Kummervold
Frontiers in Artificial Intelligence 6, 1023281, 2023
3742023
Crowdbreaks: tracking health trends using public social media data and crowdsourcing
MM Müller, M Salathé
Frontiers in public health 7, 81, 2019
672019
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
472020
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
322020
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), 19655, 2021
272021
Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic
M Müller, M Salathé
arXiv preprint arXiv:2012.02197, 2020
212020
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
202019
Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning
M Muller, M Schneider, M Salathé, E Vayena
BioRxiv, 802454, 2019
20*2019
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
182021
Cedille: A large autoregressive French language model
M Müller, F Laurent
arXiv preprint arXiv:2202.03371, 2022
122022
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
102020
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter.(2020)
M Müller, M Salathé, PE Kummervold
arXiv preprint cs.CL/2005.07503, 2020
82020
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
42021
Covid-twitter-bert: a natural language processing model to analyse COVID-19 content on twitter. CoRR
M Müller, M Salathé, PE Kummervold
42005
International expert communities on Twitter become more isolated during the COVID-19 pandemic
F Durazzi, M Müller, M Salathé, D Remondini
22020
ORF3c is expressed in SARS-CoV-2 infected cells and suppresses immune activation by inhibiting innate sensing
M Mueller, A Herrmann, S Fujita, K Uriu, C Kruth, A Strange, JE Kolberg, ...
bioRxiv, 2023.02. 27.530232, 2023
12023
On the use of applied machine learning and digital infrastructure to leverage social media data in health and epidemiology
MM Müller
EPFL, 2021
12021
Underlying and Resulting Data of Sentiment Analysis on Tweets about CRISPR/Cas9
M Schneider, M Müller
ETH Zurich, 2019
2019
Group ID U13083 Affiliated authors Allémann, Chloé
O Altunina, O Balakiriev, S Bernard, P Borg, VG Boulanger, C Burger, ...
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