J. Sánchez-Monedero

Latest

• Nobody writing and nobody reading: artificial intelligence chatbots and the science we want
• Data Justice
• Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP
• How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees
• A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
• Risks and Uncertainties in Contact Tracing Apps
• The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl
• Digital borders and surveillance humanitarianism
• What Does It Mean to “solve” the Problem of Discrimination in Hiring? Social, Technical and Legal Perspectives from the UK on Automated Hiring Systems
• The datafication of the workplace
• On the use of evolutionary time series analysis for segmenting paleoclimate data
• Data-driven hiring, labour relations, and social justice
• ORCA: A Matlab/Octave Toolbox for Ordinal Regression
• How to (partially) evaluate automated decision systems
• The datafication of borders and management of refugees in the context of Europe
• Partial order label decomposition approaches for melanoma diagnosis
• Advanced feature extraction and machine learning models to melanoma and Breslow index detection
• Representing ordinal input variables in the context of ordinal classification
• Tackling the ordinal and imbalance nature of a melanoma image classification problem
• Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
• Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
• Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
• Ordinal regression methods: survey and experimental study
• A study on multi-scale kernel optimisation via centered kernel-target alignment
• Kernelising the Proportional Odds Model through Kernel Learning techniques
• Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency
• 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
• Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm
• Challenges in ordinal classification: artificial neural networks and projection-based methods
• An ıtshape n-Spheres Based Synthetic Data Generator for Supervised Classification
• Estudio comparativo de distintos métodos de umbral en regresión ordinal
• Evolutionary ordinal extreme learning machine
• Exploitation of Pairwise Class Distances for Ordinal Classification
• Kernelising the Proportional Odds Model through kernel learning techniques
• Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment
• An Experimental Study of Different Ordinal Regression Methods and Measures
• Approaching system administration as a group project in computer engineering higher education
• 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
• Numerical variable reconstruction from ordinal categories based on probability distributions
• Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front
• An extensible DDS-based monitoring and intrusion detection system
• El software libre y la tortilla de patatas
• High-level Programming of DDS Systems
• Bloom filter-based discovery protocol for DDS middleware
• MELM-GRBF: A modified version of the Extreme Learning Machine for Generalized Radial Basis Function Neural Networks
• Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
• On the suitability of Extreme Learning Machine for gene classification using feature selection
• Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology
• Políticas de QoS en una Plataforma de Trabajo Colaborativo sobre Middleware DDS
• Aprendizaje híbrido de redes neuronales q-Gaussianas en clasificación binaria
• Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers
• Evaluating the Performance of Evolutionary Extreme Learning Machines by a Combination of Sensitivity and Accuracy Measures
• Evolutionary Learning using a Sensitivity-Accuracy Approach for Classification
• Instant Messaging Based Interface for Data Distribution Service
• Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions
• Memetic Pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology
• Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks
• 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