Browsing by Subject (DDC) 006: Spezielle Computerverfahren

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Issue DateTitleInvolved Person(s)
Jul-20192019 PrefaceFellermann, Harold; Bacardit, Jaume; Goñi-Moreno, Ángel; Füchslin, Rudolf M.
8-Mar-2024A case study of an immersive learning unit for German as a second languageKeller, Thomas; Brucker-Kley, Elke; Schwammel, Philip
2015A classification framework for predicting components' remaining useful life based on discrete-event diagnostic dataFink, Olga; Zio, Enrico; Weidmann, Ulrich
2020A comparative assessment and synthesis of twenty ethics codes on AI and big dataLoi, Michele; Heitz, Christoph; Christen, Markus
Jun-2021A comparison of security implementations of embedded networked devicesMeisterhans, Judith; Doran, Hans Dermot; Zimmerli, Lea; Rüst, Andreas
2020A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactionsWeyland, Mathias S.; Flumini, Dandolo; Schneider, Johannes J.; Füchslin, Rudolf M.
2023A comprehensive framework for ensuring the trustworthiness of AI systemsBrunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna
2-Jan-2024A comprehensive survey of deep transfer learning for anomaly detection in industrial time series : methods, applications, and directionsYan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A., et al
14-Jul-2022A deep ensemble learning method for automatic classification of multiplets in 1D NMR spectraFischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Paruzzo, Federico; Toscano, Giuseppe, et al
2-Nov-2023A framework for assessing and certifying explainability of health-oriented AI systemsDenzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike, et al
2018A framework for text analytics with visual exploration and machine learningSiddiqui, Nadina; Metzler, Linus; Tuggener, Don; Cieliebak, Mark
26-Jan-2024A generic machine learning framework for fully-unsupervised anomaly detection with contaminated dataUlmer, Markus; Zgraggen, Jannik; Goren Huber, Lilach
2018A hybrid approach for alarm verification using stream processing, machine learning and text analyticsSima, Ana-Claudia; Stockinger, Kurt; Affolter, Katrin; Braschler, Martin; Monte, Peter, et al
2-Sep-2020A hybrid deep learning approach for forecasting air temperatureGygax, Gregory; Schüle, Martin
2023A machine learning approach to stock price predictionWeibel, Marc; Rhyner, Sylvio
Jul-2020A methodology for creating question answering corpora using inverse data annotationDeriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe; Rodrigo, Alvaro; von Grünigen, Dirk, et al
2020A mixed-perception approach for safe human–robot collaboration in industrial automationMohammadi Amin, Fatemeh; Rezayati, Maryam; van de Venn, Hans Wernher; Karimpour, Hossein
2023A new conversational interaction concept for document creation and editing on mobile devices for visually impaired usersDarvishy, Alireza; Heeb, Zeno; Beljulji, Edin; Hutter, Hans-Peter
2013A semi-supervised learning system for micro-text classificationOtt, Thomas; Christen, Markus; Niederberger, Thomas; Aebersold, Reto; Suleiman, Aryobsei, et al
1993A small taxonomy of types and related instances as a kernel of a belief system : Vorlesung gehalten an der Computational Linguistics Unit, University of Wales, Cardiff, 2013Gysel, Ulrich Emanuel