Showing results 198 to 217 of 292
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| Issue Date | Title | Involved Person(s) |
| 28-Oct-2022 | Physics informed deep learning for tracker fault detection in photovoltaic power plants | Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach |
| Jun-2023 | Physics-informed machine learning for predictive maintenance : applied use-cases | Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel |
| 1-Jul-2019 | Plea for an international Aneurysm Data Bank : description and perspectives | Bijlenga, Philippe; Morel, Sandrine; Hirsch, Sven; Schaller, Karl; Rüfenacht, Daniel |
| 2013 | Potential and limitations of commercial sentiment detection tools | Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih |
| 2017 | Potential and limitations of cross-domain sentiment classification | von Grünigen, Dirk; Weilenmann, Martin; Deriu, Jan Milan; Cieliebak, Mark |
| 1-Dec-2020 | Predicting airplane go-arounds using machine learning and open-source data | Figuet, Benoit; Monstein, Raphael; Waltert, Manuel; Barry, Steven |
| Jun-2022 | Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall Photovoltaikanlagen | Goren Huber, Lilach; Notaristefano, Antonio |
| 27-Sep-2017 | Predictive-prescriptive analytics for combustion monitoring in gas turbine power plants | Danafar, Somayeh; Kryszczuk, Krzysztof; Gassner, Martin; Bernero, Stefano |
| Oct-2021 | PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysis | Amirian, Mohammadreza; Montoya, Javier; Gruss, Jonathan; Stebler, Yves D.; Bozkir, Ahmet Selman, et al |
| Oct-2018 | Prioritätenliste und Kontingentberechnung : Pandemievorbereitung in der Schweiz | Krütli, Pius; Smieszek, Timo; Füchslin, Rudolf Marcel; Eschle, Patrik |
| 29-Sep-2019 | Proceedings of the 4th edition of the Swiss Text Analytics Conference | Cieliebak, Mark; Tuggener, Don; Benites, Fernando |
| 2023 | Proceedings of the Swiss Text Analytics Conference 2022 | Hürlimann, Manuela; Mastropietro, Roberto; Puccinelli, Daniele; Rinaldi, Fabio; Cieliebak, Mark |
| 8-Feb-2022 | Quantitative modelling of the value of data for manufacturing SMEs in smart service provision | Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas; Barbieri, Cosimo; Rapaccini, Mario |
| 2023 | Quasi-CliquePool : hierarchical graph pooling for graph classification | Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello |
| 6-Jan-2021 | Querying knowledge graphs in natural language | Liang, Shiqi; Stockinger, Kurt; de Farias, Tarcisio Mendes; Anisimova, Maria; Gil, Manuel |
| 7-Apr-2024 | Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions | Jermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf, et al |
| 2019 | Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysms | Hirsch, Sven; Juchler, Norman |
| 2024 | Real world music object recognition | Tuggener, Lukas; Emberger, Raphael; Ghosh, Adhiraj; Sager, Pascal; Satyawan, Yvan Putra, et al |
| 2023 | Reproducing a comparative evaluation of German text-to-speech systems | Hürlimann, Manuela; Cieliebak, Mark |
| Nov-2023 | Robust drone detection and classification from radio frequency signals using convolutional neural networks | Glüge, Stefan; Nyfeler, Matthias; Ramagnano, Nicola; Horn, Claus; Schüpbach, Christof |
