Showing results 80 to 99 of 295
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| Issue Date | Title | Involved Person(s) |
| Apr-2020 | Data-Driven Management zur Steigerung des Kundennutzens | Meierhofer, Jürg; Heitz, Christoph |
| 2020 | Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen | Meierhofer, Jürg; Kugler, Petra, et al |
| May-2020 | Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data | Nadig, Stefanie; Braschler, Martin; Stockinger, Kurt |
| Aug-2021 | Databooster : ein Katalysator für Serviceinnovation | Meierhofer, Jürg; Heinatz Bürki, Gundula |
| 2024 | Daten im B2B-Ökosystem teilen und nutzen : wie KMU Voraussetzungen schaffen und Hürden überwinden | Kugler, Petra; Vogt, Helen; Meierhofer, Jürg; Dobler, Martin; Strittmatter, Marc, et al |
| 2019 | Daten-basierter Service-Nutzen entlang der Customer Journey | Meierhofer, Jürg; Lév, Jana |
| Sep-2018 | Datenbasierte Service-Innovation | Meierhofer, Jürg |
| 2012 | Eine Datenbasis für die Kosteneffizienz im Gesundheitswesen | Baudinot, Gerold |
| Feb-2023 | Deconvolution of 1D NMR spectra : a deep learning-based approach | Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G., 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 |
| 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 |
