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Found 5 papers, 2 papers with code
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation
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.
Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles
Media has a substantial impact on the public perception of events.
Critical analysis on the reproducibility of visual quality assessment using deep features
Data used to train supervised machine learning models are commonly split into independent training, validation, and test sets.
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features"
In Neural Processing Letters 50, 3 (2019) a machine learning approach to blind video quality assessment was proposed.
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild
Video quality assessment (VQA) methods focus on particular degradation types, usually artificially induced on a small set of reference videos.
