Showing results 559 to 578 of 618
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| Issue Date | Title | Involved Person(s) |
| 29-Jun-2021 | Transfer learning approaches for wind turbine fault detection using deep learning | Zgraggen, Jannik; Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach |
| 2024 | Transformative or disruptive? : exploring the impact of generative AI on leadership | Russ, Christian; Lorente Riverola, Iñigo; Shields, Kevin David |
| 2022 | Transforming human resource management by electronical processes : the benefits of artificial intelligence in HRM | Müller, Frithjof; Müller, Andrea; Cuadra, Noemi |
| Jul-2023 | Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning | Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc, et al |
| May-2020 | TRANSLIT : a large-scale name transliteration resource | Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert François; von Däniken, Pius; Cieliebak, Mark |
| 2022 | Trust and cybersickness in VR-marketing : investigating IPD and cybersickness, and their effects on trust, customer value, NPS, cross- and up-selling | Seiler, Roger; Brodmann, Thierry; Keller, Thomas |
| Feb-2024 | Twitter-Analysen der Polizei : Erkenntnisse für die Soziale Arbeit | Biberstein, Lorenz; Girschik, Katja; Wehrli, Samuel |
| 2016 | Two machine learning approaches for short-term wind speed time-series prediction | Ak, Ronay; Fink, Olga; Zio, Enrico |
| Mar-2021 | Two to trust : AutoML for safe modelling and interpretable deep learning for robustness | Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter, et al |
| 18-Oct-2023 | Ultra-low power car plate recognition at the edge | Isztl, Dávid; Rosenthal, Matthias |
| 4-Jul-2022 | Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data | Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach |
| Jul-2023 | Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon, et al |
| 2020 | Understanding machine learning for diversified portfolio construction by explainable AI | Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter |
| Mar-2023 | Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra | Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A. |
| 1-Feb-2023 | Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra | Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A. |
| 5-Feb-2021 | Unraveling the deep learning gearbox in optical coherence tomography image segmentation towards explainable artificial intelligence | Maloca, Peter M.; Müller, Philipp L.; Lee, Aaron Y.; Tufail, Adnan; Balaskas, Konstantinos, et al |
| 19-Aug-2022 | Unsupervised domain adaptation for vertebrae detection and identification in 3D CT volumes using a domain sanity loss | Sager, Pascal; Salzmann, Sebastian; Burn, Felice; Stadelmann, Thilo |
| 2019 | Unsupervised learning and simulation for complexity management in business operations | Hollenstein, Lukas; Lichtensteiger, Lukas; Stadelmann, Thilo; Amirian, Mohammadreza; Budde, Lukas, et al |
| 2024 | Unternehmen zwischen Hype & Schock | Rüeger, Brian; Volkmar, Gioia |
| 2021 | Using deep learning and explainable AI to predict and explain loan defaults | Fazlija, Bledar; Sulejmani, Sakip |
