| Automatic steel grades design for Jominy profile achievement through neural networks and genetic algorithms | 0 | 0.34 | 2021 |
| Forecasting Operation Metrics for Virtualized Network Functions | 0 | 0.34 | 2021 |
| SOM-based behavioral analysis for virtualized network functions | 1 | 0.35 | 2020 |
| Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions. | 0 | 0.34 | 2020 |
| Fuzzy Adaptive Genetic Algorithm for Improving the Solution of Industrial Optimization Problems. | 1 | 0.41 | 2020 |
| Genetic Operators Impact on Genetic Algorithms Based Variable Selection. | 0 | 0.34 | 2020 |
| Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks. | 0 | 0.34 | 2019 |
| Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. | 0 | 0.34 | 2019 |
| A Dive into the Specific Electric Energy Consumption in Steelworks. | 0 | 0.34 | 2018 |
| Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method. | 1 | 0.40 | 2017 |
| A Fuzzy System for Combining Filter Features Selection Methods | 2 | 0.36 | 2017 |
| Artificial Neural Networks Based Approaches for the Prediction of Mean Flow Stress in Hot Rolling of Steel. | 0 | 0.34 | 2017 |
| Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions. | 0 | 0.34 | 2016 |
| An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through Neural Networks. | 1 | 0.36 | 2015 |
| Fuzzy adaptation of crossover and mutation rates in genetic algorithms based on population performance. | 2 | 0.42 | 2015 |
| Artificial Neural Networks Applied For Estimating A Probability Density Function | 1 | 0.35 | 2015 |
| A Hybrid Feature Selection Method for Classification Purposes | 2 | 0.36 | 2014 |
| A method for resampling imbalanced datasets in binary classification tasks for real-world problems. | 19 | 0.64 | 2014 |
| A procedure for the detection of anomalous input-output patterns | 0 | 0.34 | 2013 |
| Genetic Algorithms Applied to Discrete Distribution Fitting | 2 | 0.40 | 2013 |
| Improving the Estimation of Mean Flow Stress within Hot Rolling of Steel by Means of Different Artificial Intelligence Techniques. | 2 | 0.41 | 2013 |
| An Ensemble Classification Method Based on Input Clustering and Classifiers Expected Reliability | 1 | 0.36 | 2012 |
| Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. | 0 | 0.34 | 2012 |
| Dynamic Resampling Method for Classification of Sensitive Problems and Uneven Datasets. | 0 | 0.34 | 2012 |
| Estimate of a probability density function through neural networks | 3 | 0.44 | 2011 |
| Detection of transients in steel casting through standard and ai-based techniques | 1 | 0.41 | 2011 |
| Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems | 1 | 0.36 | 2011 |
| Use of Clustering and Interpolation Techniques for the Time-Efficient Simulation of Complex Models within Optimization Tasks | 0 | 0.34 | 2011 |
| Novel classification method for sensitive problems and uneven datasets based on neural networks and fuzzy logic | 11 | 0.62 | 2011 |
| A Genetic Algorithms-based Approach for Selecting the Most Relevant Input Variables in Classification Tasks. | 1 | 0.35 | 2010 |
| General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP | 6 | 0.54 | 2009 |
| Thresholded Neural Networks for Sensitive Industrial Classification Tasks | 6 | 0.61 | 2009 |
| Data Resampling Techniques and Specific Algorithms Applied to a Critical Industrial Classification Problem | 0 | 0.34 | 2009 |
| Self-estimation of Data and Approximation Reliability through Neural Networks | 5 | 0.59 | 2009 |
| Comparison of different classification methods on castabilty data coming from steelmaking practice | 0 | 0.34 | 2004 |
| Meaningful discretization of continuous features for association rules mining by means of a SOM | 21 | 0.98 | 2004 |
| Comparison of traditional and neural systems for train speed estimation | 3 | 0.43 | 2003 |
| Two Industrial Problems Solved through a Novel Optimization Algorithm | 1 | 0.38 | 2003 |
