C. Hervás-Martínez

Latest

• On the use of evolutionary time series analysis for segmenting paleoclimate data
• Partial order label decomposition approaches for melanoma diagnosis
• Advanced feature extraction and machine learning models to melanoma and Breslow index detection
• Representing ordinal input variables in the context of ordinal classification
• Tackling the ordinal and imbalance nature of a melanoma image classification problem
• Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
• Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
• Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
• Ordinal regression methods: survey and experimental study
• Kernelising the Proportional Odds Model through Kernel Learning techniques
• A guided data projection technique for classification of sovereign ratings: the case of European Union 27
• Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier
• Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
• Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm
• An ıtshape n-Spheres Based Synthetic Data Generator for Supervised Classification
• Estudio comparativo de distintos métodos de umbral en regresión ordinal
• Evolutionary ordinal extreme learning machine
• Kernelising the Proportional Odds Model through kernel learning techniques
• Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment
• Ordinal and nominal classification of wind speed from synoptic pressure patterns
• An Experimental Study of Different Ordinal Regression Methods and Measures
• Approaching system administration as a group project in computer engineering higher education
• A Preliminary Study of Ordinal Metrics to Guide a Multi-Objective Evolutionary Algorithm
• Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns
• Numerical variable reconstruction from ordinal categories based on probability distributions
• MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks
• Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
• Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology
• Aprendizaje híbrido de redes neuronales q-Gaussianas en clasificación binaria
• Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers
• Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures
• Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification
• Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions
• Memetic Pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
• Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks