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131 |
Recommending data preprocessing pipelines for machine learning applications in production
Frye, Maik. - Aachen : Apprimus Verlag, 2023, 1. Auflage
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132 |
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
Bettinger, Tobias. - Aachen : Apprimus Verlag, 2023, 1. Auflage
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133 |
Science-driven chemical machine learning
Margraf, Johannes T.. - Potsdam, Juni 2023
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134 |
Semantik und Moralität
Bikić, Antonio. - Berlin, Germany : J.B. Metzler, [2023]
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135 |
Statistical and machine learning for credit risk parameter modeling
Zöllner, Marvin. - Göttingen : Cuvillier Verlag, 2023, 1st edition
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136 |
[Machine learning supported decision making in operational and real-time road freight transport planning]
Supporting operational and real-time planning tasks of road freight transport with machine learning
Lechtenberg, Sandra. - Berlin : Logos Verlag Berlin, [2023]
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137 |
The application and viability of machine learning methods in B2B environments
Preuß-Neudorf, Nicolaus. - [Vallendar], March 07, 2023
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138 |
The integration of machine learning in the psychological research process
Eisbach, Simon. - Münster, 2023
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139 |
Thermodynamic modeling of poorly specified mixtures using NMR fingerprinting and machine learning
Specht, Thomas. - Kaiserslautern : Laboratory of Engeneering Thermodynamics (LTD), RPTU Kaiserslautern, 2023
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140 |
Trustworthy decentralized machine learning systems
Pandl, Konstantin. - Karlsruhe, [2023]
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Administration
