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maria-perez-ortiz
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
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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
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