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Showing results 124 to 134 of 134 < previous 
Issue DateTitleInvolved Person(s)
4-Jul-2022Uncertainty informed anomaly scores with deep learning : robust fault detection with limited dataZgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach
Jul-2023Uncertainty quantification for reliable automatic multiplet classification in 1H NMR spectraFischetti, Giulia; Schmid, Nicolas; Henrici, Andreas; Wilhelm, Dirk; Bruderer, Simon, et al
2020Understanding machine learning for diversified portfolio construction by explainable AIJaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter
Mar-2023Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectraVenturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.
1-Feb-2023Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectraVenturini, Francesca; Michelucci, Umberto; Sperti, Michela; Gucciardi, Arnaud; Deriu, Marco A.
2019Unsupervised learning and simulation for complexity management in business operationsHollenstein, Lukas; Lichtensteiger, Lukas; Stadelmann, Thilo; Amirian, Mohammadreza; Budde, Lukas, et al
2022Using financial news sentiment for stock price direction predictionFazlija, Bledar; Harder, Pedro
2022Using metacognitive information and objective features to predict word pair learning successFazlija, Bledar; Ibrahim, Mohamed
2023VersaMatch : ontology matching with weak supervisionFürst, Jonathan; Fadel Argerich, Mauricio; Cheng, Bin
Nov-2019Wie maschinelles Lernen den Markt verändertStadelmann, Thilo
2021“Won’t we fix this issue?” : qualitative characterization and automated identification of wontfix issues on GitHubPanichella, Sebastiano; Canfora, Gerardo; Di Sorbo, Andrea
Showing results 124 to 134 of 134 < previous