| Deep Ordinal Classification Based on the Proportional Odds Model. | 0 | 0.34 | 2019 |
| Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm | 7 | 0.49 | 2010 |
| Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity | 15 | 0.77 | 2009 |
| Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher | 6 | 0.57 | 2008 |
| Data Mining Algorithms to Classify Students | 73 | 5.02 | 2008 |
| Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data | 0 | 0.34 | 2008 |
| JCLEC: a Java framework for evolutionary computation | 69 | 2.69 | 2008 |
| Saw-tooth algorithm guided by the variance of best individual distributions for designing evolutionary neural networks | 1 | 0.35 | 2007 |
| Evolutionary Combining of Basis Function Neural Networks for Classification | 0 | 0.34 | 2007 |
| Selection of Logical Operators for Inducing Comprehensible Knowledge | 0 | 0.34 | 2006 |
| Use of pruned computational neural networks for processing the response of oscillating chemical reactions with a view to analyzing nonlinear multicomponent mixtures. | 2 | 0.45 | 2001 |
| Correction of temperature variations in kinetic-based determinations by use of pruning computational neural networks in conjunction with genetic algorithms. | 3 | 0.55 | 2000 |
| Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético | 0 | 0.34 | 1998 |
| Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods | 3 | 0.59 | 1998 |
| Computational Neural Networks In Conjunction With Principal Component Analysis For Resolving Highly Nonlinear Kinetics | 3 | 0.82 | 1997 |
| Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks | 1 | 0.40 | 1997 |
