Human Action Recognition (HAR) involves the task of categorizing actions...
Convolutional Neural Networks (ConvNets or CNNs) have been candidly depl...
Capsule Networks face a critical problem in computer vision in the sense...
For a long history of Machine Learning which dates back to several decad...
The deployment of Machine Learning (ML) models is a difficult and
time-c...
NeuroEvolution (NE) methods are known for applying Evolutionary Computat...
This paper proposes a new extension to Deep Evolutionary Network Structu...
Capsule Networks (CN) offer new architectures for Deep Learning (DL)
com...
Image recognition using Deep Learning has been evolved for decades thoug...
Public special events, like sports games, concerts and festivals are wel...
The growing need to analyze large collections of documents has led to gr...
Deep Evolutionary Network Structured Representation (DENSER) is a novel
...
Current grammar-based NeuroEvolution approaches have several shortcoming...
This paper provides full -code and informal correctness proofs for the
l...
Brand recognition is a very challenging topic with many useful applicati...