Showing results 30 to 49 of 138
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Issue Date | Title | Involved Person(s) |
2016 | Data Scientist als Beruf | Stockinger, Kurt; Stadelmann, Thilo; Ruckstuhl, Andreas |
2019 | Data warehousing and exploratory analysis for market monitoring | Geiger, Melanie; Stockinger, Kurt |
2024 | Decoding behavior : utilizing virtual reality digital marker and machine learning for early detection of mild cognitive impairment | Kim, Yuwon; Park, Jinseok; Choi, Hojin; Loeser, Martin; Ryu, Hokyoung, et al |
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 |
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 |
22-Jun-2023 | Deep learning for predictive maintenance : scalable implementation in operational setups | Goren Huber, Lilach |
2023 | Deep learning for robust and explainable models in computer vision | Schwenker, Friedhelm; Stadelmann, Thilo; Jaggi, Martin; Amirian, Mohammadreza |
2020 | Deep learning for understanding satellite imagery : an experimental survey | Mohanty, Sharada Prasanna; Czakon, Jakub; Kaczmarek, Kamil A.; Pyskir, Andrzej; Tarasiewicz, Piotr, et al |
Mar-2023 | Deep learning super resolution for high-speed excitation emission matrix measurements | Michelucci, Umberto; Fluri, Silvan; Baumgartner, Michael; Venturini, Francesca |
2022 | Deep partial hedging | Hou, Songyan; Krabichler, Thomas; Wunsch, Marcus |
2020 | Deep-learning for multi-parameter luminescence sensing : demonstration of dual sensor | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |
Mar-2021 | Dependable neural networks through redundancy, a comparison of redundant architectures | Doran, Hans Dermot; Ganz, David; Ielpo, Gianluca; Zapke, Michael |
Mar-2024 | Detecting anomalies in time series using kernel density approaches | Frehner, Robin; Wu, Kesheng; Sim, Alexander; Kim, Jinoh; Stockinger, Kurt |
2016 | Detecting obfuscated JavaScripts using machine learning | Aebersold, Simon; Kryszczuk, Krzysztof; Paganoni, Sergio; Tellenbach, Bernhard; Trowbridge, Timothy |
2019 | Detecting prolonged sitting bouts with the ActiGraph GT3X | Kuster, Roman; Grooten, Wilhelmus J. A.; Baumgartner, Daniel; Blom, Victoria; Hagströmer, Maria, et al |
20-Oct-2023 | Digital marker for early screening of mild cognitive impairment through hand and eye movement analysis in virtual reality using machine learning : first validation study | Kim, Se Young; Park, Jinseok; Choi, Hojin; Loeser, Martin; Ryu, Hokyoung, et al |
2019 | Digitales Toolkit BWL-Studierende : Emerging Technologies virtualisiert | Seiler, Roger; Koruna, Stefan |
9-Aug-2020 | Don’t click : towards an effective anti-phishing training. A comparative literature review | Jampen, Daniel; Gür, Gürkan; Sutter, Thomas; Tellenbach, Bernhard |
2020 | Dual oxygen and temperature luminescence learning sensor with parallel inference | Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael |