157 citations · 237 across the 6 of their papers we have counts for
7 papers
A two-stage algorithm in evolutionary product unit neural networks for classification
Antonio J. Tallón-Ballesteros, César Hervás-Martínez
This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter sett…
Validation of artificial neural networks to model the acoustic behaviour of induction motors
F. J. Jimenez-Romero, D. Guijo-Rubio, F. R. Lara-Raya +2
In the last decade, the sound quality of electric induction motors is a hot topic in the research field. Specially, due to its high number of applications, the population is expose…
Cumulative link models for deep ordinal classification
Víctor-Manuel Vargas, Pedro-Antonio Gutiérrez, César Hervás-Martínez
This paper proposes a deep convolutional neural network model for ordinal regression by considering a family of probabilistic ordinal link functions in the output layer. The link f…
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Maria Perez-Ortiz, Peter Tino, Rafal Mantiuk +1
Data augmentation is rapidly gaining attention in machine learning. Synthetic data can be generated by simple transformations or through the data distribution. In the latter case,…
Time series clustering based on the characterisation of segment typologies
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez +2
Time series clustering is the process of grouping time series with respect to their similarity or characteristics. Previous approaches usually combine a specific distance measure f…
Distribution of the search of evolutionary product unit neural networks for classification
A. J. Tallón-Ballesteros, P. A. Gutiérrez-Peña, C. Hervás-Martínez
This paper deals with the distributed processing in the search for an optimum classification model using evolutionary product unit neural networks. For this distributed search we u…
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features
N. García-Pedrajas, C. Hervás-Martínez, D. Ortiz-Boyer
In this paper we propose a crossover operator for evolutionary algorithms with real values that is based on the statistical theory of population distributions. The operator is base…