2 citations · 4 across the 3 of their papers we have counts for
3 papers
Permutation-based multi-objective evolutionary feature selection for high-dimensional data
Raquel Espinosa, Gracia Sánchez, José Palma +1
Feature selection is a critical step in the analysis of high-dimensional data, where the number of features often vastly exceeds the number of samples. Effective feature selection…
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting
Raquel Espinosa, Fernando Jiménez, José Palma
Time series forecasting plays a crucial role in diverse fields, necessitating the development of robust models that can effectively handle complex temporal patterns. In this articl…
Multivariate feature ranking of gene expression data
Fernando Jiménez, Gracia Sánchez, José Palma +2
Gene expression datasets are usually of high dimensionality and therefore require efficient and effective methods for identifying the relative importance of their attributes. Due t…