One of the developers' biggest challenges in low-code platforms is retri...
In model-driven engineering, the bidirectional transformation of models ...
The choice of a proper learning rate is paramount for good Artificial Ne...
The deployment of Machine Learning (ML) models is a difficult and
time-c...
NeuroEvolution (NE) methods are known for applying Evolutionary Computat...
The goal of this work is to investigate the possibility of improving cur...
This paper proposes a new extension to Deep Evolutionary Network Structu...
Deep Evolutionary Network Structured Representation (DENSER) is a novel
...
Current grammar-based NeuroEvolution approaches have several shortcoming...