| Issue Date | Title | Involved Person(s) |
| Jul-2023 | Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon, et al |
| 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 | Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning | Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc, et al |
| Jul-2023 | Reinforced active learning for low-resource, domain-specific, multi-label text classification | Wertz, Lukas; Bogojeska, Jasmina; Mirylenka, Katsiaryna; Kuhn, Jonas |
| 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 |
| Jun-2023 | Physics-informed machine learning for predictive maintenance : applied use-cases | Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel |
| 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, et al |
| 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, et al |
| Feb-2023 | Deconvolution of 1D NMR spectra : a deep learning-based approach | Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G., et al |
| 11-Jan-2023 | certAInty : a certification scheme for AI systems (Innosuisse project) | Weng, Joanna; Reif, Monika; Chavarriaga, Ricardo; Schilling, Frank-Peter |
| 11-Jan-2023 | Deep learning the SKA : the Square Kilometer Array project | Denzel, Philipp Benedikt; Schilling, Frank-Peter; Gavagnin, Elena |
