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81 |
Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352)
Enthalten in Schloss Dagstuhl, Leibniz-Zentrum für Informatik: Dagstuhl Reports 2021, Volume 11, Issue 7, page 139-178
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82 |
Challenges in interactive machine learning
Berlin, Germany : Springer, [2020]
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83 |
[Faktor Mensch]
Faktor Mensch
Wiesbaden : Springer Vieweg, [2020]
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84 |
Computational Metabolomics: From Cheminformatics to Machine Learning (Dagstuhl Seminar 20051)
Enthalten in Schloss Dagstuhl, Leibniz-Zentrum für Informatik: Dagstuhl Reports 2020, Volume 10, Issue 1, page 144-159
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85 |
Machine Learning Meets Visualization to Make Artificial Intelligence Interpretable (Dagstuhl Seminar 19452)
Enthalten in Schloss Dagstuhl, Leibniz-Zentrum für Informatik: Dagstuhl Reports 2020, Volume 9, Issue 11, page 24-33
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86 |
[Big Data]
Big Data
Stuttgart : Thieme, [2019]
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87 |
Transactions on computational science / 34
[2019], [1st edition]
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88 |
[Künstliche Intelligenz]
Künstliche Intelligenz
Heidelberg : Spektrum der Wissenschaft Verlagsgesellschaft mbH, [2018]
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89 |
[Machine learning]
Machine learning
Frankfurt am Main : Software & Support Media GmbH, [2018]
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90 |
Machine learning in automation
Berlin : De Gruyter Oldenbourg, [2018]
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