18 citations · 18 across the 3 of their papers we have counts for
4 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,…