1. ZHAW digitalcollection

Browsing by Subject Machine learning

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  

Showing results 82 to 101 of 133 < previous   next >
Issue DateTitleInvolved Person(s)
2020Machine learning applications in nonlife insuranceGrize, Yves-Laurent; Fischer, Wolfram; Lützelschwab, Christian
2021Machine learning for optimal ITAE controller parameters for thermal PTn actuatorsBüchi, Roland
14-Jun-2019Machine learning for position detection in footballFrey, Martin; Murina, Elvis; Rohrbach, Janick; Walser, Manuel; Haas, Patrick, et al
Jun-2024Machine learning for robust structural uncertainty quantification in fractured reservoirsDashti, Ali; Stadelmann, Thilo; Kohl, Thomas
2022Machine-learning based monitoring of cognitive workload in rescue missions with dronesDell'Agnola, Fabio; Jao, Ping-Keng; Arza, Adriana; Chavarriaga, Ricardo; Millan, Jose Del R., et al
2023Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn dataTe, Yiea-Funk; Wieland, Michèle; Frey, Martin; Pyatigorskaya, Asya; Schiffer, Penny, et al
18-Nov-2020Maps for an uncertain future : teaching AI and machine learning using the ATLAS conceptStadelmann, Thilo; Würsch, Christoph
2017Maschinelle Intelligenz für Asset-Allokation und PortfoliokonstruktionPapenbrock, Jochen; Schwendner, Peter
2020Matrix evolutions : synthetic correlations and explainable machine learning for constructing robust investment portfoliosPapenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; Krügel, Stephan
2014Meta-classifiers easily improve commercial sentiment detection toolsCieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih
2023Monitoring and control of electrical power systems using machine learning techniquesBarocio Espejo, Emilio; Segundo Sevilla, Felix Rafael; Korba, Petr
4-Aug-2015Morphological control : applied embodied intelligence in medicine, robotics and ITFüchslin, Rudolf Marcel
27-Jan-2020Multi-task learning approach for optical luminescence sensingVenturini, Francesca; Michelucci, Umberto; Baumgartner, Michael
2019Multi-task learning for multi-dimensional regression : application to luminescence sensingMichelucci, Umberto; Venturini, Francesca
2020Named entity disambiguation at scaleAghaebrahimian, Ahmad; Cieliebak, Mark
2019New approach for luminescence sensing based on machine learningVenturini, Francesca; Baumgartner, Michael; Michelucci, Umberto
21-Jul-2021New approach for temperature-immune oxygen sensing based on Pt-TFPPVenturini, Francesca; Michelucci, Umberto; Baumgartner, Michael
Feb-2021New autonomous intelligent sensor design approach for multiple parameter inferenceMichelucci, Umberto; Venturini, Francesca
Aug-2023New metric formulas that include measurement errors in machine learning for natural sciencesMichelucci, Umberto; Venturini, Francesca
7-Apr-2022One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge : explainability techniques applied to olive oil fluorescence spectraVenturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.
Showing results 82 to 101 of 133 < previous   next >