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Results 1-15 of 22 (Search time: 0.012 seconds).
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Issue DateTitleInvolved Person(s)
5-Sep-2022Making sense of the natural environmentvon der Malsburg, Christoph; Grewe, Benjamin F.; Stadelmann, Thilo
19-Aug-2022Unsupervised domain adaptation for vertebrae detection and identification in 3D CT volumes using a domain sanity lossSager, Pascal; Salzmann, Sebastian; Burn, Felice; Stadelmann, Thilo
9-Jun-2022Deep learning-based simultaneous multi-phase deformable image registration of sparse 4D-CBCTHerzig, Ivo; Paysan, Pascal; Scheib, Stefan; Züst, Alexander; Schilling, Frank-Peter, et al
Jun-2022Advances in deep neural networks for visual pattern recognitionStadelmann, Thilo; Schilling, Frank-Peter
13-May-2022Foundations of Data Science : a comprehensive overview formed at the 1st International Symposium on the Science of Data ScienceSchilling, Frank-Peter; Flumini, Dandolo; Füchslin, Rudolf Marcel; Gavagnin, Elena; Geller, Armando, et al
22-Apr-2022A theory of natural intelligencevon der Malsburg, Christoph; Stadelmann, Thilo; Grewe, Benjamin F.
10-Mar-2022Data centrism and the core of Data Science as a scientific disciplineStadelmann, Thilo; Klamt, Tino; Merkt, Philipp H.
2022Is it enough to optimize CNN architectures on ImageNet?Tuggener, Lukas; Schmidhuber, Jürgen; Stadelmann, Thilo
2022FormulaNet : a benchmark dataset for mathematical formula detectionSchmitt-Koopmann, Felix M.; Huang, Elaine M.; Hutter, Hans-Peter; Stadelmann, Thilo; Darvishy, Alireza
Oct-2021PrepNet : a convolutional auto-encoder to homogenize CT scans for cross-dataset medical image analysisAmirian, Mohammadreza; Montoya, Javier; Gruss, Jonathan; Stebler, Yves D.; Bozkir, Ahmet Selman, et al
25-Jun-2021The AI-Atlas : didactics for teaching AI and machine learning on-site, online, and hybridStadelmann, Thilo; Keuzenkamp, Julian; Grabner, Helmut; Würsch, Christoph
9-Jun-2021XGBoost trained on synthetic data to extract material parameters of organic semiconductorsKnapp, Evelyne; Battaglia, Mattia; Stadelmann, Thilo; Jenatsch, Sandra; Ruhstaller, Beat
9-Jun-2021A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applicationsSimmler, Niclas; Sager, Pascal; Andermatt, Philipp; Chavarriaga, Ricardo; Schilling, Frank-Peter, et al
Mar-2021Two to trust : AutoML for safe modelling and interpretable deep learning for robustnessAmirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter, et al
2021The DeepScoresV2 dataset and benchmark for music object detectionTuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo
Results 1-15 of 22 (Search time: 0.012 seconds).