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javier-sanchez-monedero
Sánchez-Monedero, Javier
Información Personal
Posición:
Investigador Distinguido
Áreas de investigación:
Sin Categoría
Localización:
Rabanales
Descripción:
Página web personal
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Publicaciones
AI research assistants, intrinsic values, and the science we want
Data justice
Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP
A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
The politics of deceptive borders: ’biomarkers of deceit’ and the case of iBorderCtrl
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees
On the use of evolutionary time series analysis for segmenting paleoclimate data
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
Partial order label decomposition approaches for melanoma diagnosis
Advanced feature extraction and machine learning models to melanoma and Breslow index detection
Ordinal regression methods: survey and experimental study
Machine learning decomposition models for partial ordering problems: An application to melanoma severity classification
Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
A study on multi-scale kernel optimisation via centered kernel-target alignment
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
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency
Kernelising the Proportional Odds Model through Kernel Learning techniques
Overcoming the linearity of Ordinal Logistic Regression adding non-linear covariates from Evolutionary Hybrid Neural Network models
Nonlinear Ordinal Logistic Regression using covariates obtained by Radial Basis Function neural networks models
A guided data projection technique for classification of sovereign ratings: the case of European Union 27
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
Evaluation of centred kernel-target alignment for multi-scale kernel optimisation
Time series segmentation of paleoclimate tipping points by an evolutionary algorithm
Exploitation of Pairwise Class Distances for Ordinal Classification
Ordinal and nominal classification of wind speed from synoptic pressure patterns
Retos en clasificación ordinal: redes neuronales artificiales y métodos basados en proyecciones/Challenges in ordinal classification: artificial neural networks and projection-based methods
Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping
Evolutionary ordinal extreme learning machine
Estudio comparativo de distintos métodos de umbral en regresión ordinal
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment
A n-spheres based synthetic data generator for supervised classification
An Experimental Study of Different Ordinal Regression Methods and Measures
Approaching system administration as a group project in computer engineering higher education
Numerical variable reconstruction from ordinal categories based on probability distributions
A Preliminary Study of Ordinal Metrics to Guide a Multi-Objective Evolutionary Algorithm
Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns
High-level Programming of DDS Systems
An extensible DDS-based monitoring and intrusion detection system
Weighting efficient Accuracy and Minimum Sensitivity for evolving multi-class classifiers
MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks
Bloom Filter Based Discovery Protocol for DDS Middleware
Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front
El software libre y la tortilla de patatas
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
P}olíticas de QoS en una Plataforma de Trabajo Colaborativo sobre Middleware {DDS
Instant Messaging Based Interface for Data Distribution Service
Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification
Aprendizaje hibrido de redes neuronales q-Gaussianas en clasificación binaria
GRUPO DE INVESTIGACIÓN TIC-148
Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures
On the suitability of Extreme Learning Machine for gene classification using feature selection
Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks
Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology
QoS Policies for Audio/Video Distribution Over DDS Middleware
An XML Based Approach to the Configuration and Deployment of DDS Applications
Scalable DDS Discovery Protocols Based on Bloom Filters
Implantación de LDAP como sistema de autenticación centralizada
[Ver Menos]
Proyectos
Clasificación ordinal basada en aprendizaje profundo y neuro-evolución (ORCA-DEEP)
Métodos de Aprendizaje Profundo en clasificación ORDINAL (MAP-ORDINAL)
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)
[Ver Todos]
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