Javier Sánchez-Monedero

According to our database1, Javier Sánchez-Monedero
  • authored at least 36 papers between 2010 and 2016.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2016
Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images.
IEEE Trans. Med. Imaging, 2016

Ordinal Regression Methods: Survey and Experimental Study.
IEEE Trans. Knowl. Data Eng., 2016

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment.
Neural Processing Letters, 2016

Tackling the ordinal and imbalance nature of a melanoma image classification problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Representing ordinal input variables in the context of ordinal classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Classification of Melanoma Presence and Thickness Based on Computational Image Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency.
Progress in AI, 2015

Kernelising the Proportional Odds Model through kernel learning techniques.
Neurocomputing, 2015

Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models.
Proceedings of the Advances in Computational Intelligence, 2015

Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification.
Neurocomputing, 2014

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier.
Eng. Appl. of AI, 2014

A guided data projection technique for classification of sovereign ratings: The case of European Union 27.
Appl. Soft Comput., 2014

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013
Exploitation of Pairwise Class Distances for Ordinal Classification.
Neural Computation, 2013

Ordinal and nominal classification of wind speed from synoptic pressurepatterns.
Eng. Appl. of AI, 2013

An n-Spheres Based Synthetic Data Generator for Supervised Classification.
Proceedings of the Advances in Computational Intelligence, 2013

Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping.
Proceedings of the Advances in Computational Intelligence, 2013

Evolutionary Ordinal Extreme Learning Machine.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Approaching System Administration as a Group Project in Computer Engineering Higher Education.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

An Experimental Study of Different Ordinal Regression Methods and Measures.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers.
Neural Processing Letters, 2011

Bloom filter-based discovery protocol for DDS middleware.
J. Parallel Distrib. Comput., 2011

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks.
Neurocomputing, 2011

Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011

Numerical variable reconstruction from ordinal categories based on probability distributions.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evolutionary Intelligence, 2010

On the suitability of Extreme Learning Machine for gene classification using feature selection.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions.
Proceedings of the International Joint Conference on Neural Networks, 2010

Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010


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