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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
27-Oct-2021Bias, awareness, and ignorance in deep-learning-based face recognitionWehrli, Samuel; Hertweck, Corinna; Amirian, Mohammadreza; Glüge, Stefan; Stadelmann, Thilo
2018Capturing suprasegmental features of a voice with RNNs for improved speaker clusteringStadelmann, Thilo; Glinski-Haefeli, Sebastian; Gerber, Patrick; Dürr, Oliver
2021Closed-loop EEG study on visual recognition during drivingAydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; Millán, José del R
31-Aug-2020Combining reinforcement learning with supervised deep learning for neural active scene understandingRoost, Dano; Meier, Ralph; Toffetti Carughi, Giovanni; Stadelmann, Thilo
10-Aug-2020Context-aware learning for generative modelsPerdikis, Serafeim; Leeb, Robert; Chavarriaga, Ricardo; Millán, José del R.
16-Dec-2021Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentialsBatzianoulis, Iason; Iwane, Fumiaki; Wei, Shupeng; Correia, Carolina Gaspar Pinto Ramos; Chavarriaga, Ricardo, et al
10-Mar-2022Data centrism and the core of Data Science as a scientific disciplineStadelmann, Thilo; Klamt, Tino; Merkt, Philipp H.
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