Showing results 29 to 48 of 292
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| Issue Date | Title | Involved Person(s) |
| Sep-2020 | Artificial neural networks in pattern recognition : proceedings of the 9th IAPR TC3 workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020 | Schilling, Frank-Peter; Stadelmann, Thilo |
| 21-Dec-2023 | Assessing deep learning : a work program for the humanities in the age of artificial intelligence | Segessenmann, Jan; Stadelmann, Thilo; Davison, Andrew; Dürr, Oliver |
| 28-Aug-2023 | Assessing deep learning : a work program for the humanities in the age of artificial intelligence | Segessenman, Jan; Stadelmann, Thilo; Andrew, Davison; Oliver, Dürr |
| Aug-2023 | Assessing keyness using permutation tests | Mildenberger, Thoralf |
| 2017 | Author profiling with bidirectional RNNs using attention with GRUs : notebook for PAN at CLEF 2017 | Kodiyan, Don; Hardegger, Florin; Neuhaus, Stephan; Cieliebak, Mark |
| 14-Jun-2019 | Automated machine learning in practice : state of the art and recent results | Tuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia, et al |
| 31-May-2024 | Automated process monitoring in injection molding via representation learning and setpoint regression | Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F., et al |
| 11-Jan-2023 | Automatic classification of signal regions in 1H nuclear magnetic resonance spectra | Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Caldarelli, Guido; Scarso, Alessandro, et al |
| Jun-2020 | Automatisierte Modellierung der mikrobiologischen Sicherheit von Rezepturen | Brunschwiler, Marco; Hollenstein, Lukas; Müller, Julia |
| 20-Jun-2022 | Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors | Delucchi, Matteo; Spinner, Georg; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al |
| 2022 | Bayesian networks to disentangle the interplay of intracranial aneurysm rupture risk factors | Delucchi, Matteo; Spinner, Georg Ralph; Scutari, Marco; Bijlenga, Philippe; Morel, Sandrine, et al |
| 2015 | Bessere Absatzprognosen : eine Frage der Faktoren | Dorndorf, Ulrich; Kauf, Peter; Ott, Thomas |
| 14-Jun-2019 | Beyond ImageNet : deep learning in industrial practice | Stadelmann, Thilo; Tolkachev, Vasily; Sick, Beate; Stampfli, Jan; Dürr, Oliver |
| 27-Oct-2021 | Bias, awareness, and ignorance in deep-learning-based face recognition | Wehrli, Samuel; Hertweck, Corinna; Amirian, Mohammadreza; Glüge, Stefan; Stadelmann, Thilo |
| 15-Jun-2015 | Big data analytics in a connected world | Stockinger, Kurt; van Lingen, Frank; Valente, Marco |
| Aug-2020 | Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithms | Lehmann, Claude; Goren Huber, Lilach; Horisberger, Thomas; Scheiba, Georg; Sima, Ana-Claudia, et al |
| Dec-2019 | Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle | Meierhofer, Jürg |
| Jul-2021 | Bio-SODA : enabling natural language question answering over knowledge graphs without training data | Sima, Ana Claudia; Mendes de Farias, Tarcisio; Anisimova, Maria; Dessimoz, Christophe; Robinson-Rechavi, Marc, et al |
| Jul-2022 | Bio-SODA UX : enabling natural language question answering over knowledge graphs with user disambiguation | Sima, Ana Claudia; Mendes de Farias, Tarcisio; Anisimova, Maria; Dessimoz, Christophe; Robinson-Rechavi, Marc, et al |
| 9-Nov-2017 | BionTec 2.0 | Füchslin, Rudolf Marcel |
