| 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 | 222 | 2020 |
| 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 | 53 | 2008 |
| Crowdbreaks: tracking health trends using public social media data and crowdsourcing MM Müller, M Salathé Frontiers in public health 7, 81, 2019 | 50 | 2019 |
| Towards User‐Centered Active Learning Algorithms J Bernard, M Zeppelzauer, M Lehmann, M Müller, M Sedlmair Computer Graphics Forum 37 (3), 121-132, 2018 | 49 | 2018 |
| 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 | 32 | 2020 |
| 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 | 25 | 2020 |
| 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 | 12 | 2020 |
| 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 | 10 | 2019 |
| 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 | 9 | 2021 |
| 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 | 9 | 2021 |
| 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 | 8 | 2020 |
| 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 | 5 | 2020 |
| 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 | 5 | 2018 |
| 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 | 2 | 2021 |
| 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 | 2 | 2020 |
| 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 | 2 | 2020 |
| Cedille: A large autoregressive French language model M Müller, F Laurent arXiv preprint arXiv:2202.03371, 2022 | 1 | 2022 |
| 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 |
