Showing results 112 to 131 of 133
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| Issue Date | Title | Involved Person(s) |
| 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 |
| Mar-2023 | Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra | Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A. |
| 1-Feb-2023 | Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra | Venturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A. |
| 2019 | Unsupervised learning and simulation for complexity management in business operations | Hollenstein, Lukas; Lichtensteiger, Lukas; Stadelmann, Thilo; Amirian, Mohammadreza; Budde, Lukas, et al |
| 2022 | Using financial news sentiment for stock price direction prediction | Fazlija, Bledar; Harder, Pedro |
| 2022 | Using metacognitive information and objective features to predict word pair learning success | Fazlija, Bledar; Ibrahim, Mohamed |
| 2023 | VersaMatch : ontology matching with weak supervision | Fürst, Jonathan; Fadel Argerich, Mauricio; Cheng, Bin |
