Showing results 88 to 107 of 292
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| Issue Date | Title | Involved Person(s) |
| 13-Jul-2022 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 11-Jan-2023 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 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 |
| 2023 | Deep generative modelling of aircraft trajectories in terminal maneuvering areas | Krauth, Timothé; Lafage, Adrien; Morio, Jérôme; Olive, Xavier; Waltert, Manuel |
| 22-Jun-2023 | Deep learning for predictive maintenance : scalable implementation in operational setups | Goren Huber, Lilach |
| 2018 | Deep learning in the wild | Stadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François, et al |
| 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 |
| 2018 | Deep watershed detector for music object recognition | Tuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Stadelmann, Thilo |
| 2018 | DeepScores : a dataset for segmentation, detection and classification of tiny objects | Tuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Pelillo, Marcello; Stadelmann, Thilo |
| 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 |
| 6-Nov-2020 | Design patterns for resource-constrained automated deep-learning methods | Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al |
| Mar-2024 | Detecting anomalies in time series using kernel density approaches | Frehner, Robin; Wu, Kesheng; Sim, Alexander; Kim, Jinoh; Stockinger, Kurt |
| Mar-2022 | Detecting errors in databases with bidirectional recurrent neural networks | Holzer, Severin; Stockinger, Kurt |
| 23-Jan-2019 | Determination of model structure from flight test with generalized additive models | Monstein, Raphael; Capone, Pierluigi; Dettling, Marcel |
| 2021 | Digital twin based decision support services in business operations | Meierhofer, Jürg; Schweiger, Lukas; Schreuder, Lukas |
| 2021 | Digital twin providing new opportunities for value co-creation through supporting decision-making | West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Züst, Simon |
| 2021 | Digital twin-enabled decision support services in industrial ecosystems | Meierhofer, Jürg; Schweiger, Lukas; Lu, Jinzhi; Züst, Simon; West, Shaun, et al |
| Oct-2020 | Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt | Meierhofer, Jürg; Homberger, Pascal |
