| Issue Date | Title | Involved Person(s) |
| 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 |
| 2-Sep-2020 | How (not) to measure bias in face recognition networks | Glüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; 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 |
| Nov-2019 | Wie maschinelles Lernen den Markt verändert | Stadelmann, Thilo |
| 14-Jun-2019 | Automated machine learning in practice : state of the art and recent results | Tuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia, et al |
| 14-Jun-2019 | Beyond ImageNet : deep learning in industrial practice | Stadelmann, Thilo; Tolkachev, Vasily; Sick, Beate; Stampfli, Jan; Dürr, Oliver |
| 15-May-2019 | Deep Learning in medizinischer Diagnostik und Qualitätskontrolle | Stadelmann, Thilo; Schilling, Frank-Peter |
| 2019 | Efficient deep CNNs for cross-modal automated computer vision under time and space constraints | Amirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo |
| 20-Sep-2018 | DeepScores and Deep Watershed Detection : current state and open issues | Elezi, Ismail; Tuggener, Lukas; Pelillo, Marcello; Stadelmann, Thilo |
| 2018 | Deep watershed detector for music object recognition | Tuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 2018 | Capturing suprasegmental features of a voice with RNNs for improved speaker clustering | Stadelmann, Thilo; Glinski-Haefeli, Sebastian; Gerber, Patrick; Dürr, Oliver |
| 2018 | Learning neural models for end-to-end clustering | Meier, Benjamin Bruno; Elezi, Ismail; Amirian, Mohammadreza; Dürr, Oliver; Stadelmann, Thilo |
| 2018 | Deep learning in the wild | Stadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François, et al |
