| Issue Date | Title | Involved Person(s) |
| 9-Dec-2022 | Deep transformation models for functional outcome prediction after acute ischemic stroke | Herzog, Lisa; Kook, Lucas; Götschi, Andrea; Petermann, Katrin; Hänsel, Martin, et al |
| 9-Dec-2022 | Electro-thermal model for lock-in infrared imaging of defects in perovskite solar cells | Comi, Ennio; Knapp, Evelyne; Battaglia, Mattia; Kirsch, Christoph; Weidmann, Stefano, et al |
| 9-Dec-2022 | Machine learning-based test selection for simulation-based testing of self-driving cars software | Birchler, Christian; Khatiri, Sajad; Bosshard, Bill; Gambi, Alessio; Panichella, Sebastiano |
| Dec-2022 | Improving NL-to-Query systems through re-ranking of semantic hypothesis | von Däniken, Pius; Deriu, Jan Milan; Agirre, Eneko; Brunner, Ursin; Cieliebak, Mark, et al |
| 1-Nov-2022 | Scalable deployment of deep learning algorithms for predictive maintenance in commercial machine fleets : bridging the research-industry gap | Goren Huber, Lilach |
| 28-Oct-2022 | Physics informed deep learning for tracker fault detection in photovoltaic power plants | Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach |
| 8-Oct-2022 | Cloud native robotic applications with GPU sharing on Kubernetes | Toffetti, Giovanni; Militano, Leonardo; Murphy, Seán; Maurer, Remo; Straub, Mark |
| 9-Sep-2022 | Editorial: Artificial intelligence in finance and industry: highlights from 6 European COST conferences | Henrici, Andreas; Osterrieder, Jörg |
| 5-Sep-2022 | Making sense of the natural environment | von der Malsburg, Christoph; Grewe, Benjamin F.; Stadelmann, Thilo |
| Sep-2022 | Making AI architectures and models applicable for functional safety | Doran, Hans Dermot |
| 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 |
| 14-Jul-2022 | A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 13-Jul-2022 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 4-Jul-2022 | Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data | Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach |
| Jul-2022 | Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks : application to olive oil | Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa M., et al |
