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Issue DateTitleInvolved Person(s)
7-Aug-2023Bidisperse extension of the kissing number problemSchneider, Johannes Josef; Barrow, David Anthony; Li, Jin; Weyland, Mathias; Flumini, Dandolo; Eggenberger Hotz, Peter; Füchslin, Rudolf Marcel
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
2023Mathematical expression recognition using a new deep neural modelMirkazemy, Abolfazl; Adibi, Peyman; Ehsani, Seyed Mohhamad Saied; Darvishy, Alireza; Hutter, Hans-Peter
27-Jan-2022Machine learning for mathematical modelling of Piezo hysteresisBüchi, Roland
2022Development of a diffusion-weighed mathematical model for intradermal drainage quantificationKirsch, Christoph; Fehr, Daniel; Babity, Samuel; Polomska, Anna; Detmar, Michael; Bonmarin, Mathias; Brambilla, Davide
2022Deep Gaussian mixture model : a novelty detection method for time seriesBrunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Senn, Christoph
30-Nov-2021Interpreting difference measures for social contact matrices : impact on the pandemic dynamicsChehda Moreno, Nora; Weyland, Mathias; Smieszek, Timo; Füchslin, Rudolf Marcel; Krütli, Pius; Schneider, Johannes Josef; Scheidegger, Stephan
16-Jun-2021Using difference detail curves to assess image quality of low contrast abdominal CT scansSommer, Christian; Özden, Ismail; Weyland, Mathias; Duran, Carolina; Lutters, Gerd; Scheidegger, Stephan
2021Deep transformation models : tackling complex regression problems with neural network based transformation modelsSick, Beate; Hathorn, Torsten; Durr, Oliver
23-Apr-2019Applied compositional data analysisTempl, Matthias