Showing results 106 to 125 of 133
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Issue Date | Title | Involved Person(s) |
2022 | Parameter tables for PID controllers for time delayed systems optimized with a learning method | Büchi, Roland |
28-Oct-2022 | Physics informed deep learning for tracker fault detection in photovoltaic power plants | Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach |
2022 | PID parameter tables for time-delayed systems, found with learning algorithms according to minimum IAE, ITAE and ISE criteria | Büchi, Roland |
2013 | Potential and limitations of commercial sentiment detection tools | Cieliebak, Mark; Dürr, Oliver; Uzdilli, Fatih |
1-Dec-2020 | Predicting airplane go-arounds using machine learning and open-source data | Figuet, Benoit; Monstein, Raphael; Waltert, Manuel; Barry, Steven |
15-Jun-2022 | Predicting new venture gestation outcomes with machine learning methods | Koumbarakis, Paris; Volery, Thierry |
Jun-2021 | Redundant machine learning architectures for functional safety relevant applications – an evaluation | Doran, Hans Dermot; Ielpo, Gianluca; Ganz, David; Zapke, Michael |
Mar-2024 | ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systems | Zhang, Yi; Deriu, Jan Milan; Katsogiannis-Meimarakis, George; Kosten, Catherine; Koutrika, Georgia, et al |
Jan-2024 | Shedding light on the ageing of extra virgin olive oil : probing the impact of temperature with fluorescence spectroscopy and machine learning techniques | Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario, et al |
15-Jun-2023 | Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows | Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver |
2016 | Single-cell phenotype classification using deep convolutional neural networks | Dürr, Oliver; Sick, Beate |
22-Jan-2024 | Spider4SPARQL : a complex benchmark for evaluating knowledge graph question answering systems | Kosten, Catherine; Cudré-Mauroux, Philippe; Stockinger, Kurt |
31-May-2021 | The applicability of self-play algorithms to trading and forecasting financial markets | Posth, Jan-Alexander; Kotlarz, Piotr Kamil; Hadji Misheva, Branka; Osterrieder, Jörg; Schwendner, Peter |
Nov-2020 | The applicability of self-play algorithms to trading and forecasting financial markets : a feasibility study | Posth, Jan-Alexander; Hadji Misheva, Branka; Kotlarz, Piotr Kamil; Osterrieder, Jörg; Schwendner, Peter |
29-Jan-2024 | The future is here : digital technologies in social work practice | Alfandari, Ravit; Whittaker, Andrew; Helm, Duncan; Killick, Campbell; Gautschi, Joel, et al |
31-May-2024 | Towards the certification of AI-based systems | Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen, et al |
Jul-2023 | Transforming NMR spectroscopy : extraction of multiplet parameters with deep learning | Schmid, Nicolas; Fischetti, Giulia; Henrici, Andreas; Wilhelm, Dirk; Wanner, Marc, et al |
4-Jul-2022 | Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data | Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach |
Jul-2023 | Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectra | Fischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon, et al |
2020 | Understanding machine learning for diversified portfolio construction by explainable AI | Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter |