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pro vyhledávání: '"Manke, Philip"'
Autor:
Hanson, Nathaniel, Manke, Philip, Birkholz, Simon, Mühlbauer, Maximilian, Heine, Rene, Brandes, Arnd
Machine learning is an important tool for analyzing high-dimension hyperspectral data; however, existing software solutions are either closed-source or inextensible research products. In this paper, we present cuvis.ai, an open-source and low-code so
Externí odkaz:
http://arxiv.org/abs/2411.11324
Autor:
Behjati Ardakani, Fatemeh1,2,3, Kattler, Kathrin4, Nordström, Karl4, Gasparoni, Nina4, Gasparoni, Gilles4, Fuchs, Sarah4, Sinha, Anupam5, Barann, Matthias5, Ebert, Peter2,3, Fischer, Jonas1,2,3, Hutter, Barbara6, Zipprich, Gideon7, Imbusch, Charles D.6, Felder, Bärbel7, Eils, Jürgen7, Brors, Benedikt6, Lengauer, Thomas2, Manke, Thomas8, Rosenstiel, Philip5, Walter, Jörn4
Publikováno v:
Epigenetics & Chromatin. 11/10/2018, Vol. 11 Issue 1, pN.PAG-N.PAG. 1p.