Browsing by Person tugg

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Showing results 1 to 9 of 9
Issue DateTitleInvolved Person(s)
14-Jun-2019Automated machine learning in practice : state of the art and recent resultsTuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia, et al
2018Deep learning in the wildStadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François, et al
2018Deep watershed detector for music object recognitionTuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Stadelmann, Thilo
2018DeepScores : a dataset for segmentation, detection and classification of tiny objectsTuggener, Lukas; Elezi, Ismail; Schmidhuber, Jürgen; Pelillo, Marcello; Stadelmann, Thilo
20-Sep-2018DeepScores and Deep Watershed Detection : current state and open issuesElezi, Ismail; Tuggener, Lukas; Pelillo, Marcello; Stadelmann, Thilo
6-Nov-2020Design patterns for resource-constrained automated deep-learning methodsTuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar, et al
2019Efficient deep CNNs for cross-modal automated computer vision under time and space constraintsAmirian, Mohammadreza; Rombach, Katharina; Tuggener, Lukas; Schilling, Frank-Peter; Stadelmann, Thilo
Oct-2020The DeepScoresV2 dataset and benchmark for music object detectionTuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo
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