Showing results 157 to 176 of 627
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| Issue Date | Title | Involved Person(s) |
| 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 |
| 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 |
| 11-Jan-2023 | Deconvolution of NMR spectra : a deep learning-based approach | Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe, et al |
| 2022 | Deep and interpretable regression models for ordinal outcomes | Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate |
| 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 |
| 2017 | Deep feature learning network for fault detection and isolation | Michau, Gabriel; Thomas, Palmé; Fink, Olga |
| 2023 | Deep generative modelling of aircraft trajectories in terminal maneuvering areas | Krauth, Timothé; Lafage, Adrien; Morio, Jérôme; Olive, Xavier; Waltert, Manuel |
| 2016 | Deep health indicator extraction : a method based on auto-encoders and extreme learning machines | Hu, Yang; Palmé, Thomas; Fink, Olga |
| 4-Apr-2020 | Deep learning for automated detection of Drosophila suzukii : potential for UAV‐based monitoring | Roosjen, Peter PJ; Kellenberger, Benjamin; Kooistra, Lammert; Green, David R; Fahrentrapp, Johannes |
| 20-Jan-2021 | Deep learning for fault detection : the path to predictive maintenance of wind turbines | Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach |
| 2016 | Deep learning for infinite applications in text analytics | Cieliebak, Mark |
| 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 |
| 15-May-2019 | Deep Learning in medizinischer Diagnostik und Qualitätskontrolle | Stadelmann, Thilo; Schilling, Frank-Peter |
| 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 |
