activity
20172025
most citedDENSER: Deep Evolutionary Network Structured Representation

105 citations · 282 across the 25 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.NE2019★ 48 cited

COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks

Victor Costa, Nuno Lourenço, João Correia +1

Generative adversarial networks (GAN) present state-of-the-art results in the generation of samples following the distribution of the input dataset. However, GANs are difficult to…

cs.NE2019★ 32 cited

Coevolution of Generative Adversarial Networks

Victor Costa, Nuno Lourenço, Penousal Machado

Generative adversarial networks (GAN) became a hot topic, presenting impressive results in the field of computer vision. However, there are still open problems with the GAN model,…

cs.LG2019

The Impact of Data Preparation on the Fairness of Software Systems

Inês Valentim, Nuno Lourenço, Nuno Antunes

Machine learning models are widely adopted in scenarios that directly affect people. The development of software systems based on these models raises societal and legal concerns, a…

cs.NE2019★ 26 cited

Automatic Design of Artificial Neural Networks for Gamma-Ray Detection

Filipe Assunção, João Correia, Rúben Conceição +4

The goal of this work is to investigate the possibility of improving current gamma/hadron discrimination based on their shower patterns recorded on the ground. To this end we propo…

cs.NE2019★ 6 cited

Fast-DENSER++: Evolving Fully-Trained Deep Artificial Neural Networks

Filipe Assunção, Nuno Lourenço, Penousal Machado +1

This paper proposes a new extension to Deep Evolutionary Network Structured Evolution (DENSER), called Fast-DENSER++ (F-DENSER++). The vast majority of NeuroEvolution methods that…