Pérez-Ortiz, María

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Pérez-Ortiz, María

Información Personal
Posición:	Research Associate, University of Cambridge
Áreas de investigación:	Sin Categoría

Localización:	Rabanales
Publicaciones
On the use of evolutionary time series analysis for segmenting paleoclimate data ORCA: A Matlab/Octave Toolbox for Ordinal Regression Exploiting synthetically generated data with semi-supervised learning for small and imbalanced datasets Partial order label decomposition approaches for melanoma diagnosis Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation Psychometric scaling of TID2013 dataset Binary Ranking for Ordinal Class Imbalance Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm A mixture of experts model for predicting persistent weather patterns Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation Ordinal Class Imbalance with Ranking Combining Ranking with Traditional Methods for Ordinal Class Imbalance Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation Dynamically weighted Evolutionary Ordinal Neural Network for solving an Imbalanced Liver Transplantation Problem Advanced feature extraction and machine learning models to melanoma and Breslow index detection Class switching ensembles for ordinal regression An iterated greedy algorithm for improving the generation of synthetic patterns in imbalanced learning Semi-Supervised Learning For Ordinal Kernel Discriminant Analysis Oversampling the minority class in the feature space A review of classification problems and algorithms in renewable energy applications Ordinal regression methods: survey and experimental study Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes A study on multi-scale kernel optimisation via centered kernel-target alignment Adapting Linear Discriminant Analysis to the Paradigm of Learning from Label Proportions Machine Learning paradigms for Weed Mapping via Unmanned Aerial Vehicles Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being Classification of Melanoma Presence and Thickness Based on Computational Image Analysis Representing ordinal input variables in the context of ordinal classification Tackling the ordinal and imbalance nature of a melanoma image classification problem Graph-Based Approaches for Over-sampling in the context of Ordinal Regression A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method Kernelising the Proportional Odds Model through Kernel Learning techniques Exploiting decomposition methods, kernel algorithms and over-sampling techniques for ordinal regression Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model An experimental comparison for the identification of weeds in sunflower crops via unmanned aerial vehicles and object-based analysis Classification of EU countries' progress towards sustainable development based on ordinal regression techniques An Evolutionary Neural System for incorporating Human Expert Knowledge into the UA-FLP Projection based ensemble learning for ordinal regression An organ allocation system for liver transplantation based on ordinal regression Evaluation of centred kernel-target alignment for multi-scale kernel optimisation Time series segmentation and statistical characterisation of the Spanish stock market Ibex-35 index Incorporating privileged information to improve manifold ordinal regression Learning Kernel Label Decompositions for Ordinal Classification Problems Time series segmentation of paleoclimate tipping points by an evolutionary algorithm Log-gamma distribution optimisation via maximum likelihood for ordered probability estimates Utilidad de los modelos de aprendizaje automático para la predicción de la recidiva del hepatocarcinoma tras el trasplante hepático Validación externa de un modelo de asignación de redes neuronales en la asignación donante-receptor en trasplante hepático Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping Estudio comparativo de distintos métodos de umbral en regresión ordinal Synthetic over-sampling in the empirical feature space Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment Borderline kernel based over-sampling A n-spheres based synthetic data generator for supervised classification Can machine learning techniques help to improve the Common Fisheries Policy? Asignación de órganos en trasplante hepático mediante regresión ordinal An Experimental Study of Different Ordinal Regression Methods and Measures An ensemble approach for ordinal threshold models applied to liver transplantation An ordinal regression approach for the Unequal Area Facility Layout Problem Técnicas de clasificación ordinal aplicadas a un problema de distribución en planta A system learning user preferences for multiobjective optimization of facility layouts Hybrid Multi-objective Machine Learning Classification in Liver Transplantation Ordinal classification of depression spatial hot-spots of prevalence [Ver Menos]
Proyectos
Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP) Modelos de Aprendizaje de Máquina para la determinación óptima de la Supervivencia y la Asignación Donante/REceptor en trasplante hepático. MASS-ALLOCATION Diversificación Avanzada de Máquinas de Aprendizaje (Advanced Diversification for Learning Machines) Algoritmos de clasificación ordinal en energias renovables (ORdinal Classification and prediction Algorithms in Renewable Energy, ORCA-RE) NEMOTECH: Técnicas de Neuro-Modelado utilizando Algoritmos de Aprendizaje Híbridos. Aplicaciones en Biomedicina de Trasplantes, Agronomía y Microbiología Predictiva