M. Pérez-Ortiz
Latest
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On the use of evolutionary time series analysis for segmenting paleoclimate data
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ORCA: A Matlab/Octave Toolbox for Ordinal Regression
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Partial order label decomposition approaches for melanoma diagnosis
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Advanced feature extraction and machine learning models to melanoma and Breslow index detection
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Representing ordinal input variables in the context of ordinal classification
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Tackling the ordinal and imbalance nature of a melanoma image classification problem
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Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
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Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
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Ordinal regression methods: survey and experimental study
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A study on multi-scale kernel optimisation via centered kernel-target alignment
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Kernelising the Proportional Odds Model through Kernel Learning techniques
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Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm
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An ıtshape n-Spheres Based Synthetic Data Generator for Supervised Classification
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Estudio comparativo de distintos métodos de umbral en regresión ordinal
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Kernelising the Proportional Odds Model through kernel learning techniques
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Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment
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An Experimental Study of Different Ordinal Regression Methods and Measures