Showing results 260 to 279 of 294
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Issue Date | Title | Involved Person(s) |
2021 | The DeepScoresV2 dataset and benchmark for music object detection | Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo |
Feb-2020 | The digital twin as a service enabler : from the service ecosystem to the simulation model | Meierhofer, Jürg; West, Shaun; Rapaccini, Mario; Barbieri, Cosimo |
Mar-2023 | The role of data scientists in modern enterprises : experience from data science education | Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt |
12-Dec-2018 | The role of models in applied sciences | Füchslin, Rudolf Marcel |
26-Aug-2016 | Theory in the applied sciences, Invited talk Norbert Straumann to his 80th birthday, Seminar in Lavin, organized by Prof. Ruedi Stoop | Füchslin, Rudolf Marcel |
30-Jan-2020 | Tiny noise, big mistakes : adversarial perturbations induce errors in brain-computer interface spellers | Zhang, Xiao; Wu, Dongrui; Ding, Lieyun; Luo, Hanbin; Lin, Chin-Teng, et al |
2017 | TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision | Müller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark |
Jan-2015 | Toward automatic data curation for open data | Stadelmann, Thilo; Cieliebak, Mark; Stockinger, Kurt |
2020 | Towards programmable chemistries | Flumini, Dandolo; Weyland, Mathias S.; Schneider, Johannes J.; Fellermann, Harold; Füchslin, Rudolf M. |
31-May-2024 | Towards the certification of AI-based systems | Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen, et al |
2018 | Trace and detect adversarial attacks on CNNs using feature response maps | Amirian, Mohammadreza; Schwenker, Friedhelm; Stadelmann, Thilo |
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 |
Jul-2023 | Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning | Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc, et al |
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 |
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 |
Feb-2020 | Uncovering EEG correlates of covert attention in soccer goalkeepers : towards innovative sport training procedures | Jeunet, Camille; Tonin, Luca; Albert, Louis; Chavarriaga, Ricardo; Bideau, Benoît, et al |
2019 | Understanding morphological irregularity : a rater-based study | Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan, 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 |