no code implementations • 27 Mar 2024 • Olov Holmer, Mattias Krysander, Erik Frisk
The results also show that randomly resampling the dataset on each epoch is an effective way to reduce the size of the training data.
no code implementations • 27 Mar 2024 • Olov Holmer, Erik Frisk, Mattias Krysander
In this paper, a family of neural network-based survival models is presented.
no code implementations • 1 Feb 2023 • Olov Holmer, Erik Frisk, Mattias Krysander
Due to the complex behavior of system degradation, data-driven methods are often preferred, and neural network-based methods have been shown to perform particularly very well.
