2023

T. Tschoellitsch, P. Seidl, C. Böck, A. Maletzky, P. Moser, S. Thumfart, M. Giretzlehner, S. Hochreiter, and J. Meier (2023) Using Emergency Department Triage for Machine Learning-Based Admission and Mortality Prediction. European Journal of Emergency Medicine, 2023-08-14. (more) (download)

2022

M. Avand, A. Kuriqi, M. Khazaei, and O. Ghorbanzadeh (2022) DEM Resolution Effects on Machine Learning Performance for Flood Probability Mapping. Journal of Hydro-environment Research, 40, 1-16, 2022-01-01. (more) (download)

2020

M. Hofmarcher, A. Mayr, E. Rumetshofer, P. Ruch, P. Renz, J. Schimunek, P. Seidl, A. Vall, M. Widrich, S. Hochreiter, and G. Klambauer (2020) Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks. SSRN 3561442, 2020-03-23. (more) (download)

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