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Showing results 93 to 112 of 135 < previous   next >
Issue DateTitleInvolved Person(s)
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.
May-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.
2019Optical oxygen sensing with artificial intelligenceMichelucci, Umberto; Baumgartner, Michael; Venturini, Francesca
11-Nov-2021Optimal ITAE criterion PID parameters for PTn plants found with a machine learning approachBüchi, Roland
11-Jan-2023Optimizing cement production by employing physics informed machine learningBolt, Peter; Künzi, Raffael; Ziebart, Volker; Füchslin, Rudolf Marcel; Motich, Mohammed, et al
2022Parameter tables for PID controllers for time delayed systems optimized with a learning methodBüchi, Roland
28-Oct-2022Physics informed deep learning for tracker fault detection in photovoltaic power plantsZgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach
2022PID parameter tables for time-delayed systems, found with learning algorithms according to minimum IAE, ITAE and ISE criteriaBüchi, Roland
2013Potential and limitations of commercial sentiment detection toolsCieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih
1-Dec-2020Predicting airplane go-arounds using machine learning and open-source dataFiguet, Benoit; Monstein, Raphael; Waltert, Manuel; Barry, Steven
Showing results 93 to 112 of 135 < previous   next >