Manuel Cruz-Ramírez

Orcid: 0000-0002-4952-1101

According to our database1, Manuel Cruz-Ramírez authored at least 25 papers between 2010 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms.
Neural Comput. Appl., 2018

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

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

An organ allocation system for liver transplantation based on ordinal regression.
Appl. Soft Comput., 2014

Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013
Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem.
Soft Comput., 2013

Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks.
Artif. Intell. Medicine, 2013

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

2012
A multi-objective neural network based method for cover crop identification from remote sensed data.
Expert Syst. Appl., 2012

Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants.
Eur. J. Oper. Res., 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

Multiobjective Pareto Ordinal Classification for Predictive Microbiology.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Hybrid Multi-objective Machine Learning Classification in Liver Transplantation.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus.
Appl. Soft Comput., 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

Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 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

Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

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

Evolutionary <i>q</i>-Gaussian Radial Basis Functions for Binary-Classification.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010


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