Pedro Antonio Gutiérrez

Publications

On the use of evolutionary time series analysis for segmenting paleoclimate data (2019)
Orca: A matlab/octave toolbox for ordinal regression (2019)
Partial order label decomposition approaches for melanoma diagnosis (2018)
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation (2017)
A study on multi-scale kernel optimisation via centered kernel-target alignment (2016)
Classification of melanoma presence and thickness based on computational image analysis (2016)
Fisher score-based feature selection for ordinal classification: A social survey on subjective well-being (2016)
Machine learning paradigms for weed mapping via unmanned aerial vehicles (2016)
On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes (2016)
Ordinal evolutionary artificial neural networks for solving an imbalanced liver transplantation problem (2016)
Representing ordinal input variables in the context of ordinal classification (2016)
Selecting patterns and features for between-and within-crop-row weed mapping using UAV-imagery (2016)
Semi-supervised learning for ordinal Kernel Discriminant Analysis (2016)
Tackling the ordinal and imbalance nature of a melanoma image classification problem (2016)
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method (2015)
An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis (2015)
Kernelising the Proportional Odds Model through kernel learning techniques (2015)
Ordinal regression methods: survey and experimental study (2015)
Oversampling the Minority Class in the Feature Space (2015)
Classification of EU countries’ progress towards sustainable development based on ordinal regression techniques (2014)
Graph-based approaches for over-sampling in the context of ordinal regression (2014)
Time series segmentation of paleoclimate tipping points by an evolutionary algorithm (2014)
An n-spheres based synthetic data generator for supervised classification (2013)
Borderline kernel based over-sampling (2013)
Kernelizing the proportional odds model through the empirical kernel mapping (2013)
Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem (2013)
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. (2013)
Projection-Based Ensemble Learning for Ordinal Regression (2013)
An ensemble approach for ordinal threshold models applied to liver transplantation (2012)
An experimental study of different ordinal regression methods and measures (2012)
Ordinal classification of depression spatial hot-spots of prevalence (2011)