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Issue DateTitleInvolved Person(s)
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
Jun-2015AI in SwitzerlandDessimoz, Jean-Daniel; Koehler, Jana; Stadelmann, Thilo
14-Jun-2019Applied data science : lessons learned for the data-driven businessBraschler, Martin; Stadelmann, Thilo; Stockinger, Kurt
2013Applied data science in Europe : challenges for academia in keeping up with a highly demanded topicStadelmann, Thilo; Stockinger, Kurt; Braschler, Martin; Cieliebak, Mark; Baudinot, Gerold, et al
Sep-2020Artificial neural networks in pattern recognition : proceedings of the 9th IAPR TC3 workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020Schilling, Frank-Peter; Stadelmann, Thilo
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
14-Jun-2019Beyond ImageNet : deep learning in industrial practiceStadelmann, Thilo; Tolkachev, Vasily; Sick, Beate; Stampfli, Jan; Dürr, Oliver
2018Capturing suprasegmental features of a voice with RNNs for improved speaker clusteringStadelmann, Thilo; Glinski-Haefeli, Sebastian; Gerber, Patrick; Dürr, Oliver
31-Aug-2020Combining reinforcement learning with supervised deep learning for neural active scene understandingRoost, Dano; Meier, Ralph; Toffetti Carughi, Giovanni; Stadelmann, Thilo
2019Data productsMeierhofer, Jürg; Stadelmann, Thilo; Cieliebak, Mark
14-Jun-2019Data scienceBraschler, Martin; Stadelmann, Thilo; Stockinger, Kurt
Aug-2014Data Science für Lehre, Forschung und PraxisStockinger, Kurt; Stadelmann, Thilo
2016Data Scientist als BerufStockinger, Kurt; Stadelmann, Thilo; Ruckstuhl, Andreas
14-Jun-2019Data scientistsStadelmann, Thilo; Stockinger, Kurt; Heinatz-Bürki, Gundula; Braschler, Martin
15-May-2019Deep Learning in medizinischer Diagnostik und QualitätskontrolleStadelmann, Thilo; Schilling, Frank-Peter
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