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Number of items: 4.

English

Linzner, Dominik and Schmidt, Michael and Koeppl, Heinz (2019):
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
In: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09.-13.12., [Online-Edition: http://papers.nips.cc/paper/8631-scalable-structure-learning...],
[Conference or Workshop Item]

Schmidt, Michael and Hamacher, Kay (2018):
hoDCA: higher order direct-coupling analysis.
In: BMC bioinformatics, 19 (1), p. 546, ISSN 1471-2105,
[Article]

Wegener, Moritz and Spiehl, Dieter and Sauer, Hans Martin and Mikschl, Florian and Liu, Xinxin and Kölpin, Nadja and Schmidt, Michael and Jank, Michael and Dörsam, Edgar and Roosen, Andreas (2016):
Flexographic printing of nanoparticulate tin-doped indium oxide inks on PET foils and glass substrates.
In: Journal of Materials Science, 51 (9), Springer US, pp. 4588-4600, ISSN 0022-2461,
[Online-Edition: http://dx.doi.org/10.1007/s10853-016-9772-3],
[Article]

Eichhorn, Andreas Kutterer, Hansjörg and Seitz, Florian and Alkhatib, Hamza and Schmidt, Michael (eds.) (2015):
Parametric Modeling of Static and Dynamic Processes in Engineering Geodesy.
In: International Association of Geodesy Symposia, In: The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems (QuGOMS'11), Springer International Publishing, pp. 117-125, [Online-Edition: http://link.springer.com/chapter/10.1007/978-3-319-10828-5_1...],
[Book Section]

This list was generated on Tue May 26 02:22:28 2020 CEST.