Showing results 573 to 592 of 639
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Issue Date | Title | Involved Person(s) |
Jul-2019 | Towards low-carbon conferencing : acceptance of virtual conferencing solutions and other sustainability measures in the ALIFE community | Fellermann, Harold; Penn, Alexandra S.; Füchslin, Rudolf M.; Bacardit, Jaume; Goñi-Moreno, Angel |
2023 | Towards more child safety-oriented decisions through VR | Du, Haoyang; Jia, Songkai; Gautschi, Joel; Quehenberger, Julia; Lätsch, David, et al |
31-May-2024 | Towards the certification of AI-based systems | Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen, et al |
22-May-2023 | Training vs. testing data in machine learning | Bassi, Eleonóra |
2017 | Transfer learning and sentence level features for named entity recognition on tweets | von Däniken, Pius; Cieliebak, Mark |
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. |