| Issue Date | Title | Involved Person(s) |
| 2023 | Deep ensemble inverse model for image-based estimation of solar cell parameters | Battaglia, Mattia; Comi, Ennio; Stadelmann, Thilo; Hiestand, Roman; Ruhstaller, Beat, et al |
| 2023 | Quasi-CliquePool : hierarchical graph pooling for graph classification | Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello |
| 5-Sep-2022 | Making sense of the natural environment | von der Malsburg, Christoph; Grewe, Benjamin F.; Stadelmann, Thilo |
| 19-Aug-2022 | Unsupervised domain adaptation for vertebrae detection and identification in 3D CT volumes using a domain sanity loss | Sager, Pascal; Salzmann, Sebastian; Burn, Felice; Stadelmann, Thilo |
| 9-Jun-2022 | Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT | Herzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter, et al |
| Jun-2022 | Advances in deep neural networks for visual pattern recognition | Stadelmann, Thilo; Schilling, Frank-Peter |
| 13-May-2022 | Foundations of Data Science : a comprehensive overview formed at the 1st International Symposium on the Science of Data Science | Schilling, Frank-Peter; Flumini, Dandolo; Füchslin, Rudolf Marcel; Gavagnin, Elena; Geller, Armando, et al |
| 22-Apr-2022 | A theory of natural intelligence | von der Malsburg, Christoph; Stadelmann, Thilo; Grewe, Benjamin F. |
| 10-Mar-2022 | Data centrism and the core of Data Science as a scientific discipline | Stadelmann, Thilo; Klamt, Tino; Merkt, Philipp H. |
| 2022 | FormulaNet : a benchmark dataset for mathematical formula detection | Schmitt-Koopmann, Felix M.; Huang, Elaine M.; Hutter, Hans-Peter; Stadelmann, Thilo; Darvishy, Alireza |
| 2022 | Is it enough to optimize CNN architectures on ImageNet? | Tuggener, Lukas; Schmidhuber, Jürgen; Stadelmann, Thilo |
| Oct-2021 | PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis | Amirian, Mohammadreza; Montoya, Javier; Gruss, Jonathan; Stebler, Yves D.; Bozkir, Ahmet Selman, et al |
| 25-Jun-2021 | The AI-Atlas : didactics for teaching AI and machine learning on-site, online, and hybrid | Stadelmann, Thilo; Keuzenkamp, Julian; Grabner, Helmut; Würsch, Christoph |
| 9-Jun-2021 | A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications | Simmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter, et al |
| 9-Jun-2021 | XGBoost trained on synthetic data to extract material parameters of organic semiconductors | Knapp, Evelyne; Battaglia, Mattia; Stadelmann, Thilo; Jenatsch, Sandra; Ruhstaller, Beat |
