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Showing results 101 to 120 of 133 < previous   next >
Issue DateTitleInvolved Person(s)
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
15-Jun-2022Predicting new venture gestation outcomes with machine learning methodsKoumbarakis, Paris; Volery, Thierry
Jun-2021Redundant machine learning architectures for functional safety relevant applications – an evaluationDoran, Hans Dermot; Ielpo, Gianluca; Ganz, David; Zapke, Michael
Mar-2024ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systemsZhang, Yi; Deriu, Jan Milan; Katsogiannis-Meimarakis, George; Kosten, Catherine; Koutrika, Georgia, et al
Jan-2024Shedding light on the ageing of extra virgin olive oil : probing the impact of temperature with fluorescence spectroscopy and machine learning techniquesVenturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario, et al
15-Jun-2023Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flowsArpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver
2016Single-cell phenotype classification using deep convolutional neural networksDürr, Oliver; Sick, Beate
22-Jan-2024Spider4SPARQL : a complex benchmark for evaluating knowledge graph question answering systemsKosten, Catherine; Cudré-Mauroux, Philippe; Stockinger, Kurt
31-May-2021The applicability of self-play algorithms to trading and forecasting financial marketsPosth, Jan-Alexander; Kotlarz, Piotr Kamil; Hadji Misheva, Branka; Osterrieder, Jörg; Schwendner, Peter
Nov-2020The applicability of self-play algorithms to trading and forecasting financial markets : a feasibility studyPosth, Jan-Alexander; Hadji Misheva, Branka; Kotlarz, Piotr Kamil; Osterrieder, Jörg; Schwendner, Peter
29-Jan-2024The future is here : digital technologies in social work practiceAlfandari, Ravit; Whittaker, Andrew; Helm, Duncan; Killick, Campbell; Gautschi, Joel, et al
Showing results 101 to 120 of 133 < previous   next >