A systematic literature review of the successors of “neuroevolution of augmenting topologies”
E Papavasileiou, J Cornelis… - Evolutionary …, 2021 - ieeexplore.ieee.org
NeuroEvolution (NE) refers to a family of methods for optimizing Artificial Neural Networks
(ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting …
(ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting …
Protein function analysis through machine learning
Machine learning (ML) has been an important arsenal in computational biology used to
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …
[HTML][HTML] Neuroevolution as a tool for microarray gene expression pattern identification in cancer research
Microarrays are still one of the major techniques employed to study cancer biology.
However, the identification of expression patterns from microarray datasets is still a …
However, the identification of expression patterns from microarray datasets is still a …
Perspectives and applications of machine learning for evolutionary developmental biology
Evolutionary Developmental Biology (Evo-Devo) is an ever-expanding field that aims to
understand how development was modulated by the evolutionary process. In this …
understand how development was modulated by the evolutionary process. In this …
Microarray classification and gene selection with FS-NEAT
The analysis of microarrays has the potential to identify and predict diseases predisposition,
such as cancer, opening a new path to better diagnosis and improved treatments …
such as cancer, opening a new path to better diagnosis and improved treatments …
Modularity in NEAT Reinforcement Learning Networks
H Munn, M Gallagher - arXiv preprint arXiv:2205.06451, 2022 - arxiv.org
Modularity is essential to many well-performing structured systems, as it is a useful means of
managing complexity [8]. An analysis of modularity in neural networks produced by machine …
managing complexity [8]. An analysis of modularity in neural networks produced by machine …
[PDF][PDF] A Systematic Literature Review of the Successors of" NeuroEvolution of Augmenting Topologies"
J Cornelis, E Papavasileiou, B Jansen - 2021 - imec-publications.be
NeuroEvolution (NE) refers to a family of methods for optimizing Artificial Neural Networks
(ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting …
(ANNs) using Evolutionary Computation (EC) algorithms. NeuroEvolution of Augmenting …
N3O: a NEAT expansion for improving classification and feature selection applied to microarray data
BI Grisci - 2018 - lume.ufrgs.br
Microarrays are one of the major techniques employed in the study of genes expression, but
the identification of expression patterns from microarray datasets is a significant challenge to …
the identification of expression patterns from microarray datasets is a significant challenge to …