Showing results 173 to 192 of 614
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| Issue Date | Title | Involved Person(s) |
| 2018 | Deep learning in the wild | Stadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François, et al |
| 2015 | Deep learning on a Raspberry Pi for real time face recognition | Dürr, Oliver; Pauchard, Yves; Browarnik, Diego Hernan; Axthelm, Rebekka; Loeser, Martin |
| Mar-2023 | Deep learning super resolution for high-speed excitation emission matrix measurements | Michelucci, Umberto; Fluri, Silvan; Baumgartner, Michael; Venturini, Francesca |
| 12-Sep-2023 | Deep learning techniques utilized for assessing CO2 emissions of Swiss passenger cars | Niroomand, Naghmeh; Bach, Christian; Elser, Miriam |
| 11-Jan-2023 | Deep learning the SKA : the Square Kilometer Array project | Denzel, Philipp Benedikt; Schilling, Frank-Peter; Gavagnin, Elena |
| 2021 | Deep Learning und Predictive Maintenance : Anwendungsfall Windturbinen | Goren Huber, Lilach; Pizza, Gianmarco |
| 9-Jun-2022 | Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCT | Herzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter, et al |
| 26-Mar-2024 | Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features | Neururer, Daniel; Dellwo, Volker; Stadelmann, Thilo |
| 2022 | Deep partial hedging | Hou, Songyan; Krabichler, Thomas; Wunsch, Marcus |
| 2021 | Deep reinforcement learning for trading securities | Fazlija, Bledar; Bührer, Fabio |
| 2021 | Deep reinforcement learning on a multi-asset environment for trading | Hirsa, Ali; Osterrieder, Jörg; Hadji Misheva, Branka; Posth, Jan-Alexander |
| 2021 | Deep transformation models : tackling complex regression problems with neural network based transformation models | Sick, Beate; Hathorn, Torsten; Durr, Oliver |
| 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 |
| 2018 | Deep watershed detector for music object recognition | Tuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 2020 | Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |
| 2020 | Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |
| 20-Sep-2018 | DeepScores and Deep Watershed Detection : current state and open issues | Elezi, Ismail; Tuggener, Lukas; Pelillo, Marcello; Stadelmann, Thilo |
| 2-Sep-2020 | DeepScoresV2 | Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 2020 | DeepTC-Enhancer : improving the readability of automatically generated tests | Roy, Devjeet; Zhang, Ziyi; Ma, Maggie; Arnaoudova, Venera; Panichella, Annibale, et al |
| Mar-2021 | Dependable neural networks through redundancy, a comparison of redundant architectures | Doran, Hans Dermot; Ganz, David; Ielpo, Gianluca; Zapke, Michael |
