| Issue Date | Title | Involved Person(s) |
| Jul-2023 | Reinforced active learning for low-resource, domain-specific, multi-label text classification | Wertz, Lukas; Bogojeska, Jasmina; Mirylenka, Katsiaryna; Kuhn, Jonas |
| Jul-2023 | Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning | Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc; Meshkian, Mohsen; Bruderer, Simon; Wegner, Jan-Dirk; Sigel, Roland K. O.; Heitmann, Bjoern; Konukoglu, Ender |
| Jul-2023 | Integrating innovation : the role of standards in promoting responsible development of human–machine systems | McKinney, Zach; de Neeling, Martijn; Bianchi, Luigi; Chavarriaga, Ricardo |
| Jul-2023 | Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon; Heitmann, Bjoern; Scarso, Alessandro; Caldarelli, Guido |
| 22-Jun-2023 | Deep learning for predictive maintenance : scalable implementation in operational setups | Goren Huber, Lilach |
| 19-Jun-2023 | Fairness and risk : an ethical argument for a group fairness definition insurers can use | Baumann, Joachim; Loi, Michele |
| 15-Jun-2023 | Bias on demand : a modelling framework that generates synthetic data with bias | Baumann, Joachim; Castelnovo, Alessandro; Crupi, Riccardo; Inverardi, Nicole; Regoli, Daniele |
| 15-Jun-2023 | Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows | Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver |
| 6-Jun-2023 | Wie integrieren wir KI in die berufliche und akademische Schreibpraxis? | Pernstich, Kurt; Messenzehl-Kölbl, Lisa |
| Jun-2023 | From concept to implementation : the data-centric development process for AI in industry | Luley, Paul-Philipp; Deriu, Jan Milan; Yan, Peng; Schatte, Gerrit A.; Stadelmann, Thilo |
| Jun-2023 | Video object detection for privacy-preserving patient monitoring in intensive care | Emberger, Raphael; Boss, Jens Michael; Baumann, Daniel; Seric, Marko; Huo, Shufan; Tuggener, Lukas; Keller, Emanuela; Stadelmann, Thilo |
| Jun-2023 | Physics-informed machine learning for predictive maintenance : applied use-cases | Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel |
| 26-Apr-2023 | Machine learning-based test selection for simulation-based testing of self-driving cars software | Birchler, Christian; Khatiri, Sajad; Bosshard, Bill; Gambi, Alessio; Panichella, Sebastiano |
| Apr-2023 | PID parameter tables after ITAE to control overshooting systems found with AI algorithm | Büchi, Roland |
| 30-Mar-2023 | Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks | Amirian, Mohammadreza; Montoya-Zegarra, Javier A.; Herzig, Ivo; Eggenberger Hotz, Peter; Lichtensteiger, Lukas; Morf, Marco; Züst, Alexander; Paysan, Pascal; Peterlik, Igor; Scheib, Stefan; Füchslin, Rudolf Marcel; Stadelmann, Thilo; Schilling, Frank-Peter |
