Showing results 73 to 92 of 292
< previous
next >
| Issue Date | Title | Involved Person(s) |
| 14-Jun-2019 | Data scientists | Stadelmann, Thilo; Stockinger, Kurt; Heinatz-Bürki, Gundula; Braschler, Martin |
| 7-Oct-2013 | Data Scientists : die neuen Helden des 21. Jahrhunderts? | Stockinger, Kurt |
| Nov-2023 | Data Sharing Framework für KMU | Benedech, Rodolfo Andres; Vogt, Helen; Meierhofer, Jürg; Kugler, Petra; Strittmatter, Marc, et al |
| 2019 | Data warehousing and exploratory analysis for market monitoring | Geiger, Melanie; Stockinger, Kurt |
| 26-Jun-2020 | Data-driven decision support by digital twins in manufacturing | Meierhofer, Jürg; West, Shaun |
| Mar-2024 | Data-driven information extraction and enrichment of molecular profiling data for cancer cell lines | Smith, Ellery; Paloots, Rahel; Giagkos, Dimitris; Baudis, Michael; Stockinger, Kurt |
| 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 |
