| Issue Date | Title | Involved Person(s) |
| 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 | XGBoost trained on synthetic data to extract material parameters of organic semiconductors | Knapp, Evelyne; Battaglia, Mattia; Stadelmann, Thilo; Jenatsch, Sandra; Ruhstaller, Beat |
| 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 |
| Mar-2021 | Two to trust : AutoML for safe modelling and interpretable deep learning for robustness | Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter, et al |
| 2021 | The DeepScoresV2 dataset and benchmark for music object detection | Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 18-Nov-2020 | Maps for an uncertain future : teaching AI and machine learning using the ATLAS concept | Stadelmann, Thilo; Würsch, Christoph |
| 6-Nov-2020 | Design patterns for resource-constrained automated deep-learning methods | Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al |
| Nov-2020 | Artificial neural networks in pattern recognition | Schilling, Frank-Peter; Stadelmann, Thilo |
| 2-Sep-2020 | How (not) to measure bias in face recognition networks | Glüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; Stadelmann, Thilo |
| Sep-2020 | Artificial neural networks in pattern recognition : proceedings of the 9th IAPR TC3 workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020 | Schilling, Frank-Peter; Stadelmann, Thilo |
| 31-Aug-2020 | Combining reinforcement learning with supervised deep learning for neural active scene understanding | Roost, Dano; Meier, Ralph; Toffetti Carughi, Giovanni; Stadelmann, Thilo |
| 26-Jun-2020 | Improving sample efficiency and multi-agent communication in RL-based train rescheduling | Roost, Dano; Meier, Ralph; Huschauer, Stephan; Nygren, Erik; Egli, Adrian, et al |
