Many machine learning regression methods leverage large datasets for tra...
In this work, we establish a method for abstracting information from Com...
Machine learning techniques paired with the availability of massive data...
Optimizing manufacturing process parameters is typically a multi-objecti...
The underlying dynamics and patterns of 3D surface meshes deforming over...
We consider graph modeling for a knowledge graph for vehicle development...
We introduce canonical weight normalization for convolutional neural
net...
The analysis of deforming 3D surface meshes is accelerated by autoencode...
For sequences of complex 3D shapes in time we present a general approach...
Modern product design in the engineering domain is increasingly driven b...
Machine learning methods have been remarkably successful for a wide rang...
Despite the great successes of machine learning, it can have its limits ...
We propose a new data analysis approach for the efficient post-processin...
Common event-triggered state estimation (ETSE) algorithms save communica...