1 code implementation • 22 Sep 2023 • Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick
This paper presents a methodological framework for training, self-optimising, and self-organising surrogate models to approximate and speed up multiobjective optimisation of technical systems based on multiphysics simulations.
no code implementations • 7 Nov 2022 • Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrović, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp
Media has a substantial impact on the public perception of events.
1 code implementation • 10 Sep 2020 • Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe
Data used to train supervised machine learning models are commonly split into independent training, validation, and test sets.
no code implementations • 9 May 2020 • Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe
In Neural Processing Letters 50, 3 (2019) a machine learning approach to blind video quality assessment was proposed.
no code implementations • 17 Dec 2019 • Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos.