|
1 |
Automated Suspicion Algorithms
Leffer, Lena. - Baden-Baden : Nomos, 2025, 1. Auflage
|
|
|
|
2 |
Beyond performance: evaluating non-functional requirements of machine learning algorithms
Röchner, Philipp, 1990-. - Mainz, 2025
|
|
|
|
3 |
On genetic algorithm methods for fast and efficient multi-layer network planning under Quality-of-Service constraints
Bauknecht, Uwe. - Stuttgart : Universität Stuttgart, Institut für Kommunikationsnetze und Rechnersysteme, [2025]
|
|
|
|
4 |
[Rule(s) of recommendation: what the making of a recommender system can tell us about the difficult relation between social order and machine learning]
Democratic algorithms: ethnography of a public recommender system
Poechhacker, Nikolaus. - Lüneburg : meson press eG, 2024
|
|
|
|
5 |
Machine learning algorithms for solution of convection-diffusion-reaction equation at pore-scale
Fokina, Daria. - Stuttgart : Fraunhofer Verlag, [2024]
|
|
|
|
6 |
Random walks and their applications to loop representations and randomised algorithms
Vogel, Quirin Thomas Simon. - München, 08.07.2024
|
|
|
|
7 |
3D reconstruction algorithms and applications with spherical and depth cameras
Cui, Yan. - Kaiserslautern, [2023]
|
|
|
|
8 |
Advances in statistical boosting algorithms
Speller, Jan. - Bonn, 2023
|
|
|
|
9 |
Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data
Haase-Schütz, Christian. - Kassel : kassel university press, [2023]
|
|
|
|
10 |
Generation of training data for fault detection and diagnosis algorithms using fault simulation and parameter uncertainty
Bode, Gerrit. - Aachen : E.ON Energy Research Center, 2023
|
|
Administration
