María Pérez-Ortiz

According to our database1, María Pérez-Ortiz
  • authored at least 48 papers between 2011 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation.
Knowl.-Based Syst., 2017

Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem.
Artificial Intelligence in Medicine, 2017

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
Proceedings of the Advances in Computational Intelligence, 2017

An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning.
Proceedings of the Advances in Computational Intelligence, 2017

Class Switching Ensembles for Ordinal Regression.
Proceedings of the Advances in Computational Intelligence, 2017

Combining Ranking with Traditional Methods for Ordinal Class Imbalance.
Proceedings of the Advances in Computational Intelligence, 2017

Ordinal Class Imbalance with Ranking.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016
Oversampling the Minority Class in the Feature Space.
IEEE Trans. Neural Netw. Learning Syst., 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

On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes.
Neural Processing Letters, 2016

Semi-supervised learning for ordinal Kernel Discriminant Analysis.
Neural Networks, 2016

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery.
Expert Syst. Appl., 2016

Adapting linear discriminant analysis to the paradigm of learning from label proportions.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Machine learning paradigms for weed mapping via unmanned aerial vehicles.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 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

Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression.
IEEE Trans. Knowl. Data Eng., 2015

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

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method.
Appl. Soft Comput., 2015

An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis.
Proceedings of the Advances in Computational Intelligence, 2015

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model.
Proceedings of the Advances in Computational Intelligence, 2015

2014
Projection-Based Ensemble Learning for Ordinal Regression.
IEEE Trans. Cybernetics, 2014

Classification of EU countries' progress towards sustainable development based on ordinal regression techniques.
Knowl.-Based Syst., 2014

An evolutionary neural system for incorporating expert knowledge into the UA-FLP.
Neurocomputing, 2014

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

Learning Kernel Label Decompositions for Ordinal Classification Problems.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Incorporating Privileged Information to Improve Manifold Ordinal Regression.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

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

Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 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

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

Can Machine Learning Techniques Help to Improve the Common Fisheries Policy?
Proceedings of the Advances in Computational Intelligence, 2013

Borderline Kernel Based Over-Sampling.
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

Synthetic over-sampling in the empirical feature space.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
An Ordinal Regression Approach for the Unequal Area Facility Layout Problem.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

A System Learning User Preferences for Multiobjective Optimization of Facility Layouts.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

An ensemble approach for ordinal threshold models applied to liver transplantation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

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

2011
Ordinal classification of depression spatial hot-spots of prevalence.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011


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