| Autoencoded Dna Methylation Data To Predict Breast Cancer Recurrence: Machine Learning Models And Gene-Weight Significance | 0 | 0.34 | 2020 |
| External clustering validity index based on chi-squared statistical test. | 0 | 0.34 | 2019 |
| MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. | 4 | 0.39 | 2018 |
| An approach to validity indices for clustering techniques in Big Data. | 1 | 0.36 | 2018 |
| Applications of Computational Intelligence in Time Series. | 0 | 0.34 | 2017 |
| Machine learning techniques to discover genes with potential prognosis role in Alzheimer's disease using different biological sources. | 2 | 0.38 | 2017 |
| A Study of the Suitability of Autoencoders for Preprocessing Data in Breast Cancer Experimentation. | 2 | 0.37 | 2017 |
| Obtaining optimal quality measures for quantitative association rules | 3 | 0.36 | 2016 |
| A Nearest Neighbours-Based Algorithm For Big Time Series Data Forecasting | 8 | 0.56 | 2016 |
| Discovery Of Genes Implied In Cancer By Genetic Algorithms And Association Rules | 0 | 0.34 | 2016 |
| Improving a multi-objective evolutionary algorithm to discover quantitative association rules | 1 | 0.34 | 2016 |
| Discovering gene association networks by multi-objective evolutionary quantitative association rules | 12 | 0.49 | 2014 |
| Selecting the best measures to discover quantitative association rules | 11 | 0.56 | 2014 |
| Analysis of measures of quantitative association rules | 4 | 0.40 | 2011 |
| An evolutionary algorithm to discover quantitative association rules in multidimensional time series | 16 | 0.58 | 2011 |
| Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution | 26 | 1.04 | 2010 |
| Quantitative association rules applied to climatological time series forecasting | 3 | 0.38 | 2009 |
