1 citations · 1 across the 3 of their papers we have counts for
3 papers
TurboGP: A flexible and advanced python based GP library
Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante
We introduce TurboGP, a Genetic Programming (GP) library fully written in Python and specifically designed for machine learning tasks. TurboGP implements modern features not availa…
Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search
Cosijopii Garcia-Garcia, Alicia Morales-Reyes, Hugo Jair Escalante
We propose a novel approach for the challenge of designing less complex yet highly effective convolutional neural networks (CNNs) through the use of cartesian genetic programming (…
Term-Weighting Learning via Genetic Programming for Text Classification
Hugo Jair Escalante, Mauricio A. García-Limón, Alicia Morales-Reyes +3
This paper describes a novel approach to learning term-weighting schemes (TWSs) in the context of text classification. In text mining a TWS determines the way in which documents wi…