| Issue Date | Title | Involved Person(s) |
| 2024 | Identifying performance limiting parameters in perovskite solar cells using machine learning | Zbinden, Oliver; Knapp, Evelyne; Tress, Wolfgang |
| 2023 | Monitoring and control of electrical power systems using machine learning techniques | Barocio Espejo, Emilio; Segundo Sevilla, Felix Rafael; Korba, Petr |
| 2023 | Deep ensemble inverse model for image-based estimation of solar cell parameters | Battaglia, Mattia; Comi, Ennio; Stadelmann, Thilo; Hiestand, Roman; Ruhstaller, Beat, 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 |
| 8-Oct-2022 | Cloud native robotic applications with GPU sharing on Kubernetes | Toffetti, Giovanni; Militano, Leonardo; Murphy, Seán; Maurer, Remo; Straub, Mark |
| 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 |
| 21-Jun-2022 | Convolutional neural nets with hyperparameter optimization and feature importance for power system static security assessment | Ramirez Gonzalez, Miguel; Segundo Sevilla, Felix Rafael; Korba, Petr; Castellanos-Bustamante, Rafael |
| May-2022 | One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra | Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A. |
| 7-Apr-2022 | One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectra | Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A. |
| 2022 | Power system inertia estimation using a residual neural network based approach | Ramirez Gonzalez, Miguel; Segundo Sevilla, Felix Rafael; Korba, Petr |
| 2022 | Improving safety in physical human-robot collaboration via deep metric learning | Rezayati, Maryam; Zanni, Grammatiki; Zaoshi, Ying; Scaramuzza, Davide; van de Venn, Hans Wernher |
| Jan-2022 | AI-powered Infrastructures for intelligence and automation in beyond-5G systems | Militano, Leonardo; Zafeiropoulos, Anastasios; Fotopoulou, Eleni; Bruschi, Roberto; Lombardo, Chiara, et al |
| 16-Dec-2021 | Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials | Batzianoulis, Iason; Iwane, Fumiaki; Wei, Shupeng; Correia, Carolina Gaspar Pinto Ramos; Chavarriaga, Ricardo, et al |
| 21-Oct-2021 | Predictive maintenance : an autoencoder anomaly-based approach for a 3 DoF delta robot | Fathi, Kiavash; van de Venn, Hans Wernher; Honegger, Marcel |
| 4-Aug-2021 | Convolutional neural network based approach for static security assessment of power systems | Ramirez Gonzalez, Miguel; Segundo Sevilla, Felix Rafael; Korba, Petr |
