Artikel (LMU)

Fritz, Cornelius; Dorigatti, Emilio; Rügamer, David ORCID: 0000-0002-8772-9202 (2022): Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany. Scientific Reports, 12: 3930. ISSN 2045-2322

Haensch, Anna-Carolina; Weiß, Bernd; Steins, Patricia; Chyrva, Priscilla; Bitz, Katja (2022): The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis. Frontiers in Big Data, 5. ISSN 2624-909X

Khazaei, Yeganeh; Küchenhoff, Helmut; Hoffmann, Sabine; Syliqi, Diella; Rehms, Raphael (2023): Using a Bayesian hierarchical approach to study the association between non-pharmaceutical interventions and the spread of Covid-19 in Germany. Scientific Reports, 13 (1). ISSN 2045-2322

Racek, Daniel; Davidson, Brittany I.; Thurner, Paul W.; Zhu, Xiao Xiang; Kauermann, Göran (2024): The Russian war in Ukraine increased Ukrainian language use on social media. Communications Psychology, 2 (1). ISSN 2731-9121

Wiegrebe, Simon; Kopper, Philipp; Sonabend, Raphael; Bischl, Bernd; Bender, Andreas (2024): Deep learning for survival analysis: a review. Artificial Intelligence Review, 57 (3). ISSN 1573-7462