Portal de Transparencia

Actividad investigadora:

• Artículos en revistas
  • [2019] A Directional-Linear Bayesian Network and Its Application for Clustering and Simulation of Neural Somas
  • [2019] A circular-linear dependence measure under Johnson?Wehrly distributions and its application in Bayesian networks. Autor: Ignacio Leguey.
  • [2019] A directional-linear Bayesian network and its application for clustering and simulation of neural somas
  • [2019] Circular Bayesian classifiers using wrapped Cauchy distributions
  • [2019] Learning Bayesian networks with low inference complexity
  • [2019] Learning tractable Bayesian networks in the space of elimination orders
  • [2019] Tractable learning of Bayesian networks from partially observed data
  • [2019] Tractable learning of Bayesian networks from partially observed data
  • [2019] Tractable learning of Bayesian networks from partially observed data
  • [2018] 3D morphology-based clustering and simulation of human pyramidal cell dendritic spines
  • [2018] A regularity index for dendrites - local statistics of a neuron's input space
  • [2018] Asymmetric Hidden Markov Models with Continuous Variables
  • [2018] Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
  • [2018] Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes
  • [2018] Clustering of Data Streams with Dynamic Gaussian Mixture Models. An IoT Application in Industrial Processes
  • [2018] MultiMap: A Tool to Automatically Extract and Analyse Spatial Microscopic Data From Large Stacks of Confocal Microscopy Images
  • [2018] Patterns of dendritic basal field orientation of pyramidal neurons in the rat somatosensory cortex
  • [2018] Towards a supervised classification of neocortical interneuron morphologies
  • [2018] Tractability of most probable explanations in multidimensional Bayesian network classifiers
  • [2018] bnclassify: Learning Bayesian Network Classifiers
  • [2017] Architecture for anomaly detection in a laser heating surface process
  • [2017] Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
  • [2017] Frobenius Norm Regularization for the Multivariate Von Mises Distribution
  • [2017] Machine Learning-based CPS for clustering high throughput machine cycle conditions
  • [2017] Machine learning-based CPS for clustering high throughput machining cycle conditions
  • [2017] Network design through forests with degree- and role- constrained minimum spanning trees
  • [2017] Network design through forests with degree- and role-constrained minimum spanning trees
  • [2017] Parkinson's Disease Subtypes Identified from Cluster Analysis of Moto rand Non-motor Symptoms
  • [2017] Univariate and bivariate truncated von Mises distributions
  • [2016] Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot
  • [2016] Data Publications Correlate with Citation Impact
  • [2016] Decision functions for chain classifiers based on Bayesian networks for multi-label classification
  • [2016] Dendritic and Axonal Wiring Optimization of Cortical GABAergic Interneurons
  • [2016] Dendritic and axonal wiring optimization of cortical GABAergic interneurons
  • [2016] Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex
  • [2016] Dendritic-branching angles of pyramidal neurons of the human cerebral cortex
  • [2016] Frobenius norm regularization for the multivariate von Misses distribution
  • [2016] Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
  • [2016] Hybrid Gaussian and von Mises Model-Based Clustering
  • [2016] Laminar Differences in Dendritic Structure of Pyramidal Neurons in the Juvenile Rat Somatosensory Cortex
  • [2016] Learning Bayesian networks with low inference complexity
  • [2016] Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
  • [2016] Wiring Economy of Pyramidal Cells in the Juvenile Rat Somatosensory Cortex
  • [2016] Wiring economy of pyramidal cells in the juvenile rat somatosensory cortex
  • [2015] A univocal definition of the neuronal soma morphology using Gaussian mixture models
  • [2015] Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons
  • [2015] Classifying GABAergic interneurons with semi-supervised projected model-based clustering
  • [2015] Classifying GABAergic interneurons with semi-supervised projected model-based clustering
  • [2015] Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
  • [2015] Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
  • [2015] Conditional Density Approximations with Mixtures of Polynomials
  • [2015] Conditional Density Approximations with Mixtures of Polynomials
  • [2015] Decision Boundary for Discrete Bayesian Network Classifiers
  • [2015] Decision functions for chain classifiers based on Bayesian networks for multi-label classification
  • [2015] Directional naive Bayes classifiers
  • [2015] Directional naive Bayes classifiers
  • [2015] Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data
  • [2015] Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data
  • [2015] Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
  • [2015] Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track
  • [2015] Guest editors introduction: special issue of the ECMLPKDD 2015 journal track
  • [2015] Interval-based ranking in noisy evolutionary multi-objective optimization
  • [2015] Interval-based ranking in noisy evolutionary multi-objective optimization
  • [2015] Learning Bayesian networks with low inference complexity
  • [2015] Recent Advances in Probabilistic Graphical Models
  • [2015] Regularized Multivariate von Mises Distribution
  • [2015] The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer's disease
  • [2015] The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer's disease
  • [2015] Towards Gaussian Bayesian Network Fusion
  • [2014] Bayesian network modeling of the consensus between experts: An application to neuron classification
  • [2014] Bayesian network modeling of the consensus between experts: An application to neuron classification
  • [2014] Bayesian networks in neuroscience: a survey
  • [2014] Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas
  • [2014] Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas
  • [2014] Classifying GABAergic interneurons with semi-supervised projected model-based clustering
  • [2014] Conditional density approximations with mixtures of polynomials
  • [2014] Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals
  • [2014] Discrete Bayesian Network Classifiers: A Survey
  • [2014] Discrete Bayesian network classifiers: A survey
  • [2014] Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
  • [2014] Interval-based ranking in noisy evolutionary multiobjective optimization
  • [2014] Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
  • [2014] Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
  • [2014] Multi-Dimensional Classification with Super-Classes
  • [2014] Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
  • [2014] Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
  • [2014] Multi-dimensional classification with super-classes
  • [2014] Multi-label classification with Bayesian network-based chain classifiers
  • [2014] Multi-label classification with Bayesian network-based chain classifiers
  • [2014] Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables
  • [2014] Predicting EQ-5D from the Parkinson's disease questionnaire PDQ-8 using multi-dimensional Bayesian network classifiers
  • [2014] Random positioning of dendritic spines in the human cerebral cortex
  • [2014] Random positioning of dendritic spines in the human cerebral cortex
  • [2014] Semi-supervised projected model-based clustering
  • [2014] Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
  • [2014] Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
  • [2014] Three-dimensional spatial distribution of synapses in the neocortex: A dual-beam electron microscopy study
  • [2013] Directional naive Bayes classifiers
  • [2013] A Survey of L-1 Regression
  • [2013] A Survey of L1- Regression
  • [2013] A review on evolutionary algorithms in Bayesian network learning and inference tasks
  • [2013] A review on evolutionary algorithms in Bayesian network learning and inference tasks
  • [2013] A review on evolutionary algorithms in Bayesian network learning and inference tasks
  • [2013] A survey on L1-regression
  • [2013] AN L-1-REGULARIZED NAIVE BAYES-INSPIRED CLASSIFIER FOR DISCARDING REDUNDANT AND IRRELEVANT PREDICTORS
  • [2013] An L1-regularized naive Bayes-inspired classifier for discarding redundant predictors
  • [2013] Analysis of scientific activity in Spanish public universities in the area of computer science
  • [2013] Análisis de la actividad científica de las universidades públicas españolas en el área de las tecnologías de la información
  • [2013] Augmented Semi-naive Bayes Classifier
  • [2013] Bayesian Sparse Partial Least Squares
  • [2013] Bayesian network modeling of the consensus between experts: An application to neuron classification
  • [2013] Bayesian network modeling of the consensus between experts: An application to neuron classification
  • [2013] Bayesian sparse partial least squares
  • [2013] Classification of neocortical interneurons using affinity propagation
  • [2013] Classification of neocortical interneurons using affinity propagation
  • [2013] Classification of neural signals from sparse autoregressive features
  • [2013] Classification of neural signals from sparse autoregressive features
  • [2013] Cluster methods for assessing research performance: Exploring Spanish computer science
  • [2013] Cluster methods for assessing research performance: exploring Spanish computer science
  • [2013] Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
  • [2013] Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
  • [2013] Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
  • [2013] Directional naive Bayes classifiers
  • [2013] Directional naive Bayes classifiers
  • [2013] Learning Conditional Linear Gaussian Classifiers with Probabilistic Class Labels
  • [2013] Learning Mixtures of Polynomials of Conditional Densities from Data
  • [2013] Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
  • [2013] Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
  • [2013] Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery
  • [2013] Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery
  • [2013] Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery
  • [2013] Multi-objective estimation of distribution algorithm based on joint modeling of objectives and variables
  • [2013] Multi-objective estimation of distribution algorithm based on joint modeling of objectives and variables
  • [2013] Network measures for information extraction in evolutionary algorithms
  • [2013] Network measures for information extraction in evolutionary algorithms
  • [2013] New insights into the classification and nomenclature of cortical GABAergic interneurons
  • [2013] New insights into the classification and nomenclature of cortical GABAergic interneurons
  • [2013] New insights into the classification and nomenclature of cortical GABAergic interneurons
  • [2013] New insights into the classification and nomenclature of cortical GABAergic interneurons
  • [2013] Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables
  • [2013] Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables
  • [2013] Parameter control of genetic algorithms by learning and simulation of Bayesian networks - A case study for the optimal ordering of tables
  • [2013] Predicting dementia development in Parkinson's disease using Bayesian network classifiers
  • [2013] Predicting dementia development in Parkinson's disease using Bayesian network classifiers
  • [2013] Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
  • [2013] Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
  • [2013] Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
  • [2013] Regularized continuous estimation of distribution algorithms
  • [2013] Regularized continuous estimation of distribution algorithms
  • [2013] Regularized continuous estimation of distribution algorithms
  • [2013] Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009
  • [2013] Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000-2009
  • [2013] Sparse regularized local regression
  • [2013] Sparse regularized local regression
  • [2013] Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
  • [2013] Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
  • [2012] A comparison of clustering quality indices using outliers and noise
  • [2012] A new feature extraction method for signal classification applied to cat spinal cord signals
  • [2012] A review on probabilistic graphical models in evolutionary computation
  • [2012] A review on probabilistic graphical models in evolutionary computation,
  • [2012] Alan Turing and Bayesian Statistics
  • [2012] Alan Turing y la Neurociencia
  • [2012] Biomedical Informatics Publications: a Global Perspective Part I: Conferences
  • [2012] Biomedical Informatics Publications: a Global Perspective Part II: Journals
  • [2012] Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models
  • [2012] Ensemble transcript interaction networks: A case study on Alzheimer's disease
  • [2012] Forward Stagewise Naive Bayes
  • [2012] Lazy lasso for local regression
  • [2012] Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39)
  • [2012] Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39)
  • [2012] Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes
  • [2012] Predicting dementia development in Parkinson's disease using Bayesian network classifiers
  • [2012] Regularized logistic regression and multi-objective variable selection for classifying MEG data
  • [2012] Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009
  • [2011] A review of representation issues and modeling challenges with influence diagrams
  • [2011] Comparison of metaheuristics strategies for peakbin selection in proteomic mass spectrometry data
  • [2011] Dealing with complex queries in decision-support systems
  • [2011] Forward Stagewise Naive Bayes
  • [2011] Lazy Lasso for local regression
  • [2011] Multi-dimensional classification with Bayesian networks
  • [2011] On nonlinearity in neural encoding models applied to the primary visual cortex
  • [2011] On nonlinearity in neural encoding models applied to the primary visual cortex
  • [2011] Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms
  • [2011] Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation
  • [2011] Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms
  • [2011] Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals
  • [2010] Comparison between supervised and unsupervised classifications of neuronal cell types: a case study
  • [2010] Evaluation by Data Mining Techniques of Fluconazole Breakpoints Established by the Clinical and Laboratory Standards Institute (CLSI) and Comparison with Those of the European Committee on Antimicrobial Susceptibility Testing (EUCAST)
  • [2010] Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space
  • [2010] Mateda-2.0: Estimation of Distribution Algorithms in MATLAB
  • [2010] Modelling Challenges with Influence Diagrams: Constructing Probability and Utility Models
  • [2010] Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
  • [2010] Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
  • [2009] Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process
  • [2009] Data Mining Validation of Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing
  • [2009] Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers
  • [2009] Predicting citation count of Bioinformatics papers within four years of publication
  • [2008] A Bayesian Network Model for Surface Roughness Prediction in the Machining Process
  • [2008] A review of estimation of distribution algorithms in bioinformatics
  • [2008] Explaining Clinical Decisions by Extracting Regularity Patterns
  • [2008] Optimizing Logistic Regression Coefficients for Discrimination and Calibration Using Estimation of Distribution Algorithms
  • [2007] A Graphical Decision-Theoretic Model for Neonatal Jaundice
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• Capítulos de libros
  • [2017] Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
  • [2016] Tree-structured Bayesian networks for wrapped Cauchy directional distributions
  • [2015] Regularized Multivariate von Mises Distribution
  • [2015] Towards Gaussian Bayesian network fusion
  • [2014] Concise Encyclopaedia of Bioinformatics and Computational Biology, 28 Entries
  • [2013] Augmented semi-Naive Bayes classifier
  • [2013] Learning conditional linear Gaussian classifiers with probabilistic class labels
  • [2013] Learning mixtures of polynomials of conditional densities from data
  • [2013] Semi-supervised projected clustering for classifying GABAergic interneurons
  • [2013] Semi-supervised projected clustering for classifying GABAergic interneurons
  • [2012] Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
  • [2009] Probabilistic Graphical Markov Model Learning: An Adaptive Strategy
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• Conferencias invitadas en congresos
  • [2019] Global Innovation Day at the Week of Science
  • [2015] Bayesian Networks for Neuroscience Challenges
  • [2014] Conferencia Plenaria: Neuronanatomy, neurology and Bayesian networks
  • [2013] Bayesian Networks to Answer Challenging Neuroscience Questions
  • [2013] Conferencia Plenaria: Bayesian networks to answer challenging neuroscience questions
  • [2012] Bayesian Networks in Neuroscience
  • [2010] Classification of MEG data using a combined machine learning approach
  • [2007] MOS: Multiple Offspring Sampling
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• Cursos, seminarios y tutoriales
  • [2018] Madrid UPM Advanced Statistics and Data Mining Summer School
  • [2017] The algebra of generative classifiers
  • [2017] A Bayesian network for linear-circular data
  • [2017] Directional-linear data clustering using structural expectation-maximization algorithm
  • [2017] Hybrid mutual information
  • [2017] Machine Learning-based CPS for clustering high throughput machine cycle conditions
  • [2017] The algebra of generative classifiers
  • [2015] Advanced Statistics and Data Mining Summer School 2015
  • [2014] Advanced Statistics and Data Mining Summer School
  • [2014] Bayesian classifiers
  • [2014] Bayesian networks
  • [2014] Data Mining for Efficient Recommendations and Predictions
  • [2014] Feature subset selection
  • [2014] Ingeniería de datos: una visión introductoria
  • [2014] Supervised pattern recognition
  • [2013] Advanced Statistics and Data Mining Summer School
  • [2013] Bayesian Networks in Computational Neuroscience
  • [2013] Bayesian classifiers
  • [2013] Bayesian networks
  • [2013] Bayesian networks in computational neuroscience
  • [2013] Feature subset selection
  • [2013] Hot topics in intelligent data analysis
  • [2013] Supervised pattern recognition
  • [2012] Advanced Statistics and Data Mining Summer-school
  • [2012] Bayesian Networks in Neuroanatomy and Neurodegenerative Diseases
  • [2012] Inteligencia Artificial en Neurociencia
  • [2010] Computational Modelling in Neuroscience. Experiences in the Cajal Blue Brain Project
  • [2009] Análisis Inteligente de Datos Aplicado a la Microbiología
  • [2009] Bayesian Networks
  • [2009] Computational Intelligence for Neuroscience
  • [2009] Estimation of Distribution Algorithms and Regularization
  • [2009] Gaussian Networks, EDAs and Regularization
  • [2009] Introduction to SPSS, Practical sessions: SPSS
  • [2009] L1-regularized Gaussian Networks. EDAs as Logistic Regression Regulators
  • [2009] Machine Learning and Neuroscience
  • [2009] Supervising Pattern Recognition
  • [2008] Análisis de Datos con Excel
  • [2008] Análisis de Datos con Excel
  • [2008] Análisis de Encuestas con SPSS en Centros Educativos en Alemania
  • [2008] Gaussian Network Learning and EDAs in the Regularization Context
  • [2007] Análisis de Datos con Excel
  • [2007] Análisis de Datos con Excel
  • [2007] Redes Bayesianas: Fundamentos y Aplicaciones
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• Informes para las AAPP o sus organismos dependientes
  • [2017] Multi-facet determination for clustering with Bayesians networks
  • [2016] Graphoids and separoids in model theory
  • [2015] Co-chair de Journal Track of european Conference on machine Learning and Principles and practice of Knowledge Discovery in Databases (ECML PKDD-2015)
  • [2015] Comité Editorial. Frontiers in Computational Neuroscience, Nature Frontiers
  • [2015] Miembro de la Comisión Técnica de Proyectos del Plan Nacional de I+D en el área de Tecnologías Informáticas (TIN) que evalúa los proyectos presentados a la convocatoria de Excelencia y los presentados a la convocatoria de Retos - Convocatoria TIN2014-
  • [2015] Miembro de la Comisión de Evaluación de la Promoción de Profesores de Investigación
  • [2015] Miembro de la Comisión de Evaluación de los Proyectos de Investigación (Plan Estatal Retos I+D 2015) para la Agencia Nacional de Evaluación y Prospectiva (TIN2015-xxx) (5 proyectos)
  • [2015] Miembro de la Comisión de Evaluación de los Proyectos de Investigación para la Agencia Nacional de Investigaciones de la República Checa
  • [2015] Miembro de la Comisión de evaluación de los Contratos Postdoctorales Juan de la Cierva 2014
  • [2015] Pertenencia a comités de programa de conferencias. 2015 Genetic and Evolutionary Computation Conference (GECCO-2015). Estimation of Distribution Algorithms Track
  • [2015] Pertenencia a comités de programa de conferencias. 3rd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2015)
  • [2015] Pertenencia a comités de programa de conferencias. I Workshop "BigData y Análisis de Datos Escalable" (BigDADE-2015)
  • [2015] Pertenencia a comités de programa de conferencias. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA-2015)
  • [2015] Revisor de revista JCR. Computers in Biology and Medicine
  • [2015] Revisor de revista JCR. International Journal of Approximate Reasoning
  • [2015] Revisor de revista JCR. Journal of Applied Statistics
  • [2015] Revisor de revista JCR. Journal of the Neurological Sciences
  • [2014] Pertenencia a comités de programa de conferencias. 15th Biennial European Conference of the Society for Medical Decision Making (ESMDM-2014)
  • [2014] Pertenencia a comités de programa de conferencias. 2014 Genetic and Evolutionary Computation Conference (GECCO-2014)
  • [2014] Pertenencia a comités de programa de conferencias. 21st European Conference on Artificial Intelligence (ECAI-2014)
  • [2014] Pertenencia a comités de programa de conferencias. 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2014)
  • [2014] Pertenencia a comités de programa de conferencias. Seventh European Workshop on Probabilistic Graphical Models (PGM'14)
  • [2014] Pertenencia a comités evaluadores. Miembro de la Comisión Técnica de Proyectos del Plan Nacional de I+D en el Área de Tecnologías Informáticas (TIN), subárea TIN, que evalúa los proyectos presentados a la convocatoria de Excelencia y los presentados a la convocatoria de Retos
  • [2014] Pertenencia a comités evaluadores. Miembro de la Comisión de Seguimiento de Proyectos de Investigación Fundamental del Plan Nacional en el Área Temática de Tecnologías Informáticas TIN
  • [2014] Revisora de revista JCR. Computer Methods and Programs in Biomedicine
  • [2014] Revisora de revista JCR. IEEE Transactions on Pattern Analysis and Machine Intelligence
  • [2014] Revisora de revista JCR. Journal of Computer Science and Technology
  • [2014] Revisora de revista JCR. Machine Learning
  • [2014] Revisora de revista JCR. Neurocomputing
  • [2014] Revisora de revista JCR. The Scientific World Journal
  • [2013] Miembro de Comités Científicos. 12th European Conference on Symbolic and Quantitative approaches to Reasoning with Uncertainty (ECSQARU-2013)
  • [2013] Miembro de Comités Científicos. 2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
  • [2013] Miembro de Comités Científicos. 23rd International Joint Conference on Artificial Intelligence (IJCAI-13)
  • [2013] Miembro de Comités Científicos. IEEE Congress on Evolutionary Computation (IEEE CEC-2013)
  • [2013] Miembro de Comités Científicos. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2013)
  • [2013] Revisora de Libros. Bayesian Networks in R
  • [2013] Revisora de revista JCR. Annals of Operations Research
  • [2013] Revisora de revista JCR. Journal of Biomedical Informatics
  • [2012] Evaluadora de 2 Proyectos de Investigación en la Convocatoria de Proyectos de Excelencia de la Consejería de Economía, Innovación, Ciencia y Empleo de la Junta de Andalucía
  • [2012] Evaluadora de 2 Proyectos de Investigación para la Agencia Nacional de Evaluación y Prospectiva
  • [2012] Evaluadora de Proyectos de Investigación para la Agencia Nacional de Investigación de Francia (ANR)
  • [2012] Experta Evaluadora en la Certificación de Proyectos Empresariales de I+D+i (para deducciones fiscales)
  • [2012] Pertenencia a comités de programa de congresos internacionales: 2012 Genetic and Evolutionary Computation Conference (GECCO-2012). Estimation of Distribution Algorithms Track. Philadelphia, EEUU
  • [2012] Pertenencia a comités de programa de congresos internacionales: 28th Conference on Uncertainty in Artificial Intelligence (UAI-2012), Catalina Island
  • [2012] Pertenencia a comités de programa de congresos internacionales: 28th Conference on Uncertainty in Artificial Intelligence (UAI-2012). Catalina Island, EEUU
  • [2012] Pertenencia a comités de programa de congresos internacionales: 4th Biennial European Conference of the Society for Medical Decision Making (ESMDM-2012) Oslo, Noruega
  • [2012] Pertenencia a comités de programa de congresos internacionales: 7th Conference on Prestigious Applications of Intelligent Systems (PAIS-2012). Subconference of the 20th European Conference on Artificial Intelligence (ECAI-2012) Montpellier, Francia
  • [2012] Pertenencia a comités de programa de congresos internacionales: 9th Bayesian Modelling Applications Workshop (dentro de UAI-2012) Catalina Island, EEUU
  • [2012] Pertenencia a comités de programa de congresos internacionales: IEEE Congress on Evolutionary Computation (IEEE CEC-2012) Special Session of Evolutionary Algorithms with Statistical & Machine Learning Techniques. Brisbane, Australia
  • [2012] Pertenencia a comités de programa de congresos internacionales: International Conference on Pattern Recognition Applications and Methods (ICPRAM-2012) Algarve, Portugal
  • [2012] Pertenencia a comités de programa de congresos internacionales: Sixth European Workshop on Probabilistic Graphical Models (PGM'12) Granada, España
  • [2012] Revisora en Computational Statistics and Data Analysis
  • [2012] Revisora en Information Sciences
  • [2012] Revisora en Information Sciences
  • [2011] Experto en la Comisión de Evaluación de Proyectos de Investigación Fundamental del Plan Nacional en el Área Temática de Tecnologías Informáticas TIN
  • [2011] Miembro de la Comisión de Seguimiento de Proyectos de Invetigación Fundamental del Plan Nacional en el Área Temática de Tecnologías Informáticas TIN
  • [2010] Evaluación de una plaza de Associate Professor in Computer Science
  • [2007] Evaluadora Externa de Tesis Doctoral de Paula Jordá Matarredona
  • [2007] Evaluadora de PROYECTO DE INVESTIGACIÓN PARA LA AGENCIA NACIONAL DE EVALUACIÓN Y PROSPECTIVA (ANEP) ADSCRITA AL MINISTERIO DE EDUCACIÓN Y CIENCIA
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• Libros
  • [2018] Industrial Applications of Machine Learning
  • [2013] Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013)
  • [2013] Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013)
  • [2013] Advances in Artificial Intelligence
  • [2013] Advances in Artificial Intelligence
  • [2011] Productividad y visibilidad científica de los profesores funcionarios de las universidades públicas españolas en el área de tecnologías informáticas
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• Otras Publicaciones
  • [2015] Evolutionary computation of forests with Degree- and Role-Constrained Minimum Spanning Trees
  • [2015] Los Ladridos Caracterizan a los Perros Igual que la Voz a las Personas
  • [2015] Univariate and bivariate truncated von Mises distributions
  • [2014] Decision boundary for discrete Bayesian networks classifiers
  • [2014] La Mente Artificial Aprende a Inventar
  • [2013] Avances en el Pronóstico de la Cirugía de la Epilepsia
  • [2013] Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm
  • [2013] Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm
  • [2013] Desarrollan un Kit que Predice la Supervivencia al Cáncer de Pulmón
  • [2012] Alan Turing y la Estadística Bayesiana
  • [2012] An interval-based multi-objective approach to feature subset selection using joint modeling of objectives and variables
  • [2012] Curso Bayesian Networks
  • [2012] Curso Machine Learning
  • [2012] Multi-objective Estimation of Distribution Algorithm based on joint modelling of objectives and variables
  • [2011] Restating Parkinson's disease severity indices by means of non-motor criteria
  • [2008] Data Mining
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• Otros méritos
  • [2018] Miembro Comité Científico del Programa AutoML-2018 ICML
  • [2018] Miembro Comité Científico del Programa CAEPIA 2018
  • [2018] Miembro Comité Científico del Programa INFONOR 2018
  • [2018] Miembro del Comité Científico del Programa: PGM 2018
  • [2018] Tesis Fin Master: Modelos de aprendizaje automático sobre el juego del club Movistar Estudiantes
  • [2018] Tesis Fin de Master: Aprendizaje Automático Aplicado al Scouting Futbolístico
  • [2018] Tesis Fin de Master: Asymmetric Linear Gaussian Hidden Markov Models with an Application to Determine Bearings Health State
  • [2018] Tesis Fin de Master: Estudio de la deriva térmica sobre una máquina de medición de alta precisión mediante análisis de regresión multi-respuesta
  • [2018] Tesis Fin de Master: Nuevo Algoritmo de clasificación multietiqueta con redes bayesianas. Aplicación a un problema industrial
  • [2018] Tesis Fin de Master: Nuevos clasificadores Bayesianos multi-dimensionales. Aplicaciones a la eficiencia energética en la Industria 4.0
  • [2016] 15th. Ibero-American Conference on Artificial Intelligence (IBERAMIA 2016)
  • [2016] 22nd. European Conference on Artificial Intelligence (ECAI-2016) La Haya
  • [2016] 25th. International Joint Conference on Artificial Intelligence (IJCAI-16) Nueva York
  • [2016] Advanced Statistics and Data Mining 2016 SUMMER SCHOOL
  • [2016] Dynamic Models in International Conference on Probabilistic Graphical Models (PGM16) Lugano
  • [2016] International Conference on Probabilistic Graphical Models (PGM-2016) en Lugano
  • [2016] Learning in 22nd. European Conference on Artificial Intelligence (ECAI 2016) La Haya
  • [2016] Workshop on Data Science for Social Good 2016 (Riva del Garda)
  • [2016] XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA-2016)
  • [2015] Dirección de Contrato Predoctoral Asociado a Proyecto de Investigación, concedido a D. Luengo. Universidad Politécnica de Madrid
  • [2015] Dirección de Contrato Predoctoral Asociado a Proyecto de Investigación, concedido a I. Córdoba. Comunidad de Madrid
  • [2015] Dirección de Contrato Predoctoral Asociado a Proyecto de Investigación, concedido a P.Fernández. Universidad Politécnica de Madrid
  • [2015] Dirección de Contrato de FPI, concedido a M. Benjumeda. Ministerio de Economía y Competitividad (BES-2014-068637)
  • [2015] Dirección de Contrato de Formación de Profesorado Universitario (FPU), concedido a I. Legey. Ministerio de Educación, Cultura y Deporte (FPU13/01941)
  • [2015] Dirección de Contrato de Formación de Profesorado Universitario (FPU), concedido a L. Rodríguez-L. Ministerio de Educación, Cultura y Deporte (FPU14/04818)
  • [2015] Edición de números especiales de Revista. Special ECML PKDD issue at Data Mining and Knowledge Discovery, Springer 2015
  • [2015] Edición de números especiales de Revista. Special ECML PKDD issue at Machine Learning, Springer 2015
  • [2015] Miembro de tribunal de tesis doctoral. Iñigo Bermejo (UNED)
  • [2015] Miembro de tribunal de tesis doctoral. Jerónimo Hernández (Universidad del País Vasco)
  • [2015] Miembro de tribunal de tesis doctoral. Marina Segura (Universidad Politécnica de Valencia)
  • [2015] Presidencia de sesión de conferencia. Modelos gráficos Probabilísticos en la XVI Conferencia de Asociación Española para la Inteligencia Artificial (CAEPIA-2015)
  • [2014] Actualmente dirigiendo 7 tesis doctorales en el Departamento de Inteligencia Artificial de la UPM (A. Ibáñez, B. Mihaljevic, L. Antón, I. Leguey, G. Varando, S. Luengo, P. Fernández)
  • [2014] Dirección de Contrato de Formación de Profesorado Universitario (FPU), concedido a I. Legey. Ministerio de Educación, Cultura y Deporte (FPU13/01941)
  • [2014] Edición de números especiales de Revista. Special issue on Bayesian Networks in Neuroscience, Frontiers in Computational Neuroscience. Nature.
  • [2014] Edición de números especiales de Revista. Special issue on Recent Advances in Probabilistic Graphical Models, International Journal of Intelligent Systems. Wiley.
  • [2013] Organización de congresos y eventos. Jornadas Científico-Técnicas y Seminario Doctoral de la Red ATICA (SEMATICA-2013)
  • [2013] Organización de congresos y eventos. Presidenta del Comité Científico de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'13)
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• Patentes
  • [2013] Test predictor de supervivencia global de adenocarcinoma del pulmón
  • [2013] Test predictor de supervivencia global de adenocarcinoma del pulmón
  • [2012] Test predictor de supervivencia global de adenocarcinoma de pulmón
• Ponencia en Congresos
  • [2019] Multivariate comparison of human and mouse pyramidal cell dendritic morphologies
  • [2019] Using Bayesian Networks to learn Gene Regulatory Networks
  • [2018] A fast Metropolis-Hastings method for generating random correlation matrices
  • [2018] A partial orthogonalization method for simulating covariance and concentration graph matrices
  • [2018] Asymmetric Hidden Markov Models with Continuous Variables (SPRINGER)
  • [2018] Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks
  • [2018] Bounding the Complexity of Structural Expectation-Maximization
  • [2018] Discrete model-based clustering with overlapping subsets of attributes
  • [2018] Learning Bayesian network classifiers with completed partially directed acyclic graphs
  • [2018] Multi-dimensional Bayesian network classifier trees
  • [2017] A Bayesian network model for linear circular data
  • [2017] Architecture for anomaly detection in a laser heating surface process
  • [2017] Directional-linear data clustering using structural expectation-maximization algorithm
  • [2017] Hybrid mutual information
  • [2017] Machine Learning-based CPS for clustering high throughput machine cycle conditions
  • [2017] Polynomial representations of Bayesian network classifiers
  • [2016] Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot
  • [2016] Bayesian Gaussian networks for multidimensional classification of morphologically characterized neurons in the NeuroMorpho repository
  • [2016] Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control
  • [2016] Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
  • [2016] Hybrid Gaussian and von Mises model-based clustering
  • [2016] Learning tractable multidimensional Bayesian network classifiers
  • [2015] Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control
  • [2015] Learning low inference complexity Bayesian networks
  • [2015] Multidimensional classifiers for neuroanatomical data
  • [2015] Towards Gaussian Bayesian network fusion
  • [2014] Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-Label Classification
  • [2013] Augmented Semi-naive Bayes Classifier
  • [2013] BayesClass: An R package for learning Bayesian network classifiers
  • [2013] Learning conditional linear Gaussian classifiers with probabilistic class labels
  • [2013] Learning mixtures of polynomials of conditional densities from data
  • [2013] Semi-supervised projected clustering for classifying GABAergic interneurons
  • [2013] Spatial Analysis of Dendritic Spines Distribution with Bayesian Networks
  • [2013] Spatial statistics in Neuroscience
  • [2013] Towards optimal neuronal wiring through estimation of distribution algorithms
  • [2012] A Survey on Replicated Spatial Point Patterns with Case Study on Dendritic Spine Distribution in Pyramidal Neurons
  • [2012] Learning mixtures of polynomials from data using B-spline interpolation
  • [2012] Maximizing the number of polychronous groups in spiking networks
  • [2012] Multi-Objective Optimization Approach to the Analysis of Inter-Subject and Inter-Session Variability in BCI Experiments
  • [2012] Restating clinical impression of severity index for Parkinson's disease using just non-motor criteria
  • [2011] Affinity Propagation Enhanced by Estimation of Distribution Algorithms
  • [2011] An Ensemble of Classifiers with Multiple Sources of Information for MEG Data
  • [2011] Bayesian Chain Classifiers for Multidimensional Classification
  • [2011] Learning multi-dimensional Bayesian network classifiers using Markov blankets: A case study in the prediction of HIV protease inhibitors
  • [2011] Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables
  • [2011] Predicting the h-index with cost-sensitive naive Bayes
  • [2011] Quantitative Genetics in Multi-Objective Optimization Algorithms: From Useful Insights to Effective Methods
  • [2011] Regularized k-order Markov Models in EDAs
  • [2011] The von Mises naïve Bayes classifier for angular data
  • [2010] Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms
  • [2010] Learning CB-decomposable Multi-dimensional Bayesian Network Classifiers
  • [2010] Mining concept-drifting data streams containing labeled and unlabeled instances
  • [2010] Synergies between network-based representation and probabilistic graphical models for classification, inference and optimization problems in neurosciences
  • [2010] Using probabilistic dependencies improves the search of conductance-based compartmental neuron models
  • [2009] Mining Probabilistic Models Learned by EDAs in the Optimization of Multi-Objective Problems
  • [2009] Variable Selection in Local Regression Models via an Iterative LASSO
  • [2008] Actas electrónicas del "Sparse Optimization and Variable Selection, ICML/UAI/COLT 2008 Workshop"
  • [2008] Proceedings of the BeNeLux Bioinformatics Conference 2008
  • [2008] XVII Congreso de Máquinas-Herramienta y Tecnologías de Fabricación
  • [2007] Optimización Biobjetivo para la Presentación Concisa de Tablas Estadísticas
  • [2007] Predicción de la Calidad Superficial Usando Modelos Probabilísticos
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• Premios
  • [2015] Best paper award in ML4CPS Conference
  • [2015] Premio UPM de Investigación 2014
  • [2014] Research prize, Technical University of Madrid
  • [2013] Best Paper Award: 14th Conference on Artificial Intelligence in Medicine
  • [2013] Best student paper: 15th Annual Genetic and Evolutionary Computation Conference, GECCO 2013
  • [2013] Premio al Mejor Trabajo de Estudiante en el Congreso GECCO-2013, por el trabajo 'Towards Optimal Neuronal Wiring through Estimation of Distribution Algorithms'
  • [2013] Premio al Mejor Trabajo del Congreso AIME 2013, por el trabajo 'Semi-Supervised Projected Clustering for Classifying GABAergic Interneurons'- 'Marco Ramoni' Best Paper Award-
  • [2009] Premio al Mejor Proyecto Fin de Carrera, de D. Soto.
  • [2009] Premio al Mejor Revisor (Best Reviewer Award, among the Program Committee members).
  • [2009] Premio al Mejor Trabajo (Best Paper Award) del Congreso MICAI 2009
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• Proyectos de I+D+i
  • [2019] HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
  • [2019] HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
  • [2019] IA REDES BAYESIANAS
  • [2019] IT BASKET
  • [2019] NUEVA INFRAESTRUCTURA IOT INDUSTRIAL PARA LA FÁBRICA QUE APRENDE (LEARNIIOT)
  • [2019] PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
  • [2018] CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES
  • [2018] CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
  • [2018] DESARROLLO DE BIENES DE EQUIPO AVANZADOS PARA LA CADENA DE VALOR MANUFACTURERA BASADOS EN NUEVOS CONCEPTOS PARA LA AYUDA A LA TOMA DE DECISIONES ORIENTADA A LA GENERACIÓN DE SERVICIOS DE ALTO VALOR AÑADIDO PARA LA RECUPERACIÓN DE LA COMPETITIVIDAD DE
  • [2018] DESARROLLO DE BIENES DE EQUIPO AVANZADOS PARA LA CADENA DE VALOR MANUFACTURERA BASADOS EN NUEVOS CONCEPTOS PARA LA AYUDA A LA TOMA DE DECISIONES ORIENTADA A LA GENERACIÓN DE SERVICIOS DE ALTO VALOR AÑADIDO PARA LA RECUPERACIÓN DE LA COMPETITIVIDAD DE
  • [2018] HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
  • [2018] HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
  • [2018] HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
  • [2018] HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
  • [2018] INVESTIGACIÓN EN SISTEMAS CIBER-FÍSICOS PARA LA DETECCIÓN DE ANOMALÍAS MEDIANTE MODELOS PROBABILÍSITOCS DINÁMICOS EN NUEVOS PROCESOS DE TRATAMIENTO TÉRMICO MEDIAMBIENTALMENTE SOSTENIBLES (TERMPROB)
  • [2018] MULTI-VIEW CLUSTERING WITH BAYESUAN NETWORKS
  • [2018] NUEVA INFRAESTRUCTURA IOT INDUSTRIAL PARA LA FÁBRICA QUE APRENDE (LEARNIIOT)
  • [2018] PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
  • [2017] CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
  • [2017] DESARROLLO DE BIENES DE EQUIPO AVANZADOS PARA LA CADENA DE VALOR MANUFACTURERA BASADOS EN NUEVOS CONCEPTOS PARA LA AYUDA A LA TOMA DE DECISIONES ORIENTADA A LA GENERACIÓN DE SERVICIOS DE ALTO VALOR AÑADIDO PARA LA RECUPERACIÓN DE LA COMPETITIVIDAD DE
  • [2017] PROGRAMA INFORMÁTICO DE PREDICCIÓN Y ANÁLISIS EN EL ÁMBITO DEPORTIVO UTILIZANDO INTELIGENCIA ARTIFICIAL
  • [2016] : Multi‐view clustering with Bayesian networks
  • [2016] CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
  • [2016] DESARROLLO DE BIENES DE EQUIPO AVANZADOS PARA LA CADENA DE VALOR MANUFACTURERA BASADOS EN NUEVOS CONCEPTOS PARA LA AYUDA A LA TOMA DE DECISIONES ORIENTADA A LA GENERACIÓN DE SERVICIOS DE ALTO VALOR AÑADIDO PARA LA RECUPERACIÓN DE LA COMPETITIVIDAD DE
  • [2016] HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
  • [2016] MILANO-BAYES: Avances en clasificación MultidImensionaL y detección de ANOmalías con redes BAYESianas
  • [2016] PROGRAMA INFORMÁTICO DE PREDICCIÓN Y ANÁLISIS EN EL ÁMBITO DEPORTIVO UTILIZANDO INTELIGENCIA ARTIFICIAL
  • [2016] TERMPROB: Investigación en sistemas ciber-físicos para la detección de anomalías mediante modelos probabilísticos dinámicos en nuevos procesos de tratamiento térmico medioambientalmente sostenibles
  • [2015] CARES: Desarrollo de bienes de equipo avanzados para la cadena de valor manufacturera basados en nuevos conceptos para la ayuda a la toma de decisiones orientada a la generación de servicios de alto valor añadido para la recuperación de la competitividad de la industria española
  • [2015] CARES: Desarrollo de bienes de equipo avanzados para la cadena de valor manufacturera basados en nuevos conceptos para la ayuda a la toma de decisiones orientada a la generación de servicios de alto valor añadido para la recuperación de la competitividad de la industria española
  • [2015] CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES (CASI-CAM)
  • [2015] CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES (CASI-CAM)
  • [2015] CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
  • [2015] DESARROLLO DE BIENES DE EQUIPO AVANZADOS PARA LA CADENA DE VALOR MANUFACTURERA BASADOS EN NUEVOS CONCEPTOS PARA LA AYUDA A LA TOMA DE DECISIONES ORIENTADA A LA GENERACIÓN DE SERVICIOS DE ALTO VALOR AÑADIDO PARA LA RECUPERACIÓN DE LA COMPETITIVIDAD DE
  • [2015] HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
  • [2015] Mixed-BN: Aprendizaje de redes Bayesianas con variables sin y con direccionalidad para descubrimiento de asociaciones, predicción multirespuesta y clustering
  • [2014] APRENDIZAJE DE REDES BAYESIANAS CON VARIABLES SIN Y CON DIRECCIONALIDAD PARA DESCUBRIMIENTO DE ASOCIACIONES PREDICCIÓN MULTIRESPUESTA Y CLUSTERING
  • [2014] CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
  • [2014] Conceptos y Aplicaciones de los Sistemas Inteligentes
  • [2014] HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
  • [2013] HBP - Human Brain Project
  • [2013] HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
  • [2013] MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
  • [2012] CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
  • [2012] CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
  • [2012] MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
  • [2012] Red Española de Minería de Datos y Aprendizaje
  • [2012] Red Temática Española para el Avance y la Transferencia de la Inteligencia Computacional Aplicada (ATICA)
  • [2011] CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
  • [2011] Cajal Blue Brain
  • [2011] DYNAMO
  • [2011] MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
  • [2011] PROBABILISTIC MAPPING PDQ-39/PDQ-8 TO EQ-5D
  • [2010] ADAPTACIÓN DINÁMICA DEL CAMBIO EN SISTEMAS DE APRENDIZAJE
  • [2010] ASESORAMIENTO TÉCNICO EN LA REALIZACIÓN DE ESTUDIOS DE CALIDAD DEL SERVICIO, CONSULTAS SATIFACCIÓN DE CLIENTES, EVALUACIÓN DE MODELOS DE CALIDAD Y FORMACIÓN INTE
  • [2010] CAJAL BLUE BRAIN PROJECT
  • [2010] CONSOLIDEr INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
  • [2010] CONSORCIO CENIT MIO TECNOLOGÍAS PARA PRESTAR SERVICIOS EN MOVILIDAD EN EL FUTURO INTELIGENTE.
  • [2010] DYNAMO
  • [2010] JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
  • [2010] JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
  • [2010] MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
  • [2010] NUEVAS APROXIMACIONES PARA EL APRENDIZAJE MULTIOBJETIVO DE MODELOS DE CLASIFICACION SUPERVISADA Y PARA LA SINTESIS DE CONCIMIENTO EN MODELOS DE ANALISIS DE DECIS
  • [2010] REALIZACIÓN DE ESTUDIOS DE CALIDAD DE SERVICI, ANÁLISIS DE DATOS CONSULTAS A CLIENTES, EVALUACIÓN DE MODELOS DE CALIDAD Y FORMACIÓN INTERNA.
  • [2010] REALIZACIÓN DEL TRABAJO DE MINERIA DE DATOS Y GEOMARKETING SOBRE DATOS FINANCIEROS BANCARIOS.
  • [2010] SISTEMA PROBABILISTICO INTELIGENTE PARA MODELIZAR LA PRODUXTIVIDAD CENTENTIFICA ......
  • [2009] APRENDIZAJE INCREMENTAL DE REDES BAYESIANAS A PARTIR DE DATOS PROVENIENTES DE DISTRIBUCIONES QUE VARIAN EN EL TIEMPO CON APLICACIONES A LA DETECCION DE CORREO BA
  • [2009] Assessing Quality of Individual Predictions in Medical Decision Support Systems
  • [2009] Cajal Blue Brain Project
  • [2009] JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
  • [2009] JORNADAS DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
  • [2009] Multimodal Interaction in Pattern Recognition and Computer Vision
  • [2009] NUEVAS APROXIMACIONES PARA EL APRENDIZAJE MULTIOBJETIVO DE MODELOS DE CLASIFICACION SUPERVISADA Y PARA LA SINTESIS DE CONCIMIENTO EN MODELOS DE ANALISIS DE DECIS
  • [2009] SISTEMA PROBABILISTICO INTELIGENTE PARA MODELIZAR LA PRODUXTIVIDAD CENTENTIFICA ......
  • [2009] mIO!: Tecnologías para prestar Servicios en Movilidad en el Futuro Universo Inteligente
  • [2008] APRENDIZAJE INCREMENTAL DE REDES BAYESIANAS A PARTIR DE DATOS PROVENIENTES DE DISTRIBUCIONES QUE VARIAN EN EL TIEMPO CON APLICACIONES A LA DETECCIÓN DE CORREO BASURA
  • [2008] Cajal Blue Brain
  • [2008] Conceptos y Sistemas de Apoyo a la Democracia Electrónica
  • [2008] European Master Course in Computational Logic
  • [2008] IV international Symposium on Applications of Modeling as an Innovative Technology in the Agri-Food Chain (Model-It 2008)
  • [2008] JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGÍAS INFORMÁTICAS
  • [2008] NUEVAS APROXIMACIONES PARA EL APRENDIZAJE MULTIOBJETIVO DE MODELOS DE CLASIFICACIÓN SUPERVISADA Y PARA LA SÍNTESIS DE CONOCIMIENTO EN MODELOS DE ANÁLISIS DE DECISIONES
  • [2007] Assessing Quality of Individual Predictions in Medical Decision Support Systems
  • [2007] E- Democracia-CM Conceptos y Sistemas de Apoyo a la Democracia Electrónica
  • [2007] E-Democracia: Apoyo a la Toma de Decisiones Complejas Basadas en Internet.
  • [2007] Nuevas Aproximaciones para el Aprendizaje Multiobjetivo de Modelos de Clasificación Supervisada y para la Síntesis de Conocimiento en Modelos de Análisis de Decisiones.
  • [2007] Red Temática de Decisiones Multicriterio
  • [2007] Renovación de la Red Temática en Modelos Gráficos Probabilísticos y Aplicaciones
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• Registros de Software
  • [2017] 3DBasalRM and 3DSpineMC
  • [2017] Software for analyzing optimal neuronal wiring
  • [2017] Voltric. Una libreria de software libre para realizar clustering con redes Bayesianas
• Responsabilidades
  • [2018] Associate Professor Position Linköping University
  • [2018] Project Proposal for the Education University of Hong Kong
  • [2017] A Novel multi-dimensional regression model based on Gaussian Networks
  • [2017] Desarrollo en R de Algoritmos de Aprendizaje de Clasificadores Bayesianos para Variables Continuas
  • [2017] Diseño de un Entorno en R para Redes Bayesianas
  • [2017] Redes Bayesianas clasificadoras multidimensionales en tiempo continuo
  • [2017] Using Dynamic Bayesian Networks for the Automated Visual Inspection and Analysis of an industrial Laser Process
  • [2013] Advanced Statistics and Data Mining Summer School ASDM2013
  • [2013] Miembro del Comité Científico de "International Work-Conference on Bioinformatics and Biomedical Engineering": IWBBIO-2013, IWBBIO-2014
  • [2012] Optimization and Data Mining (I)
  • [2011] Advanced Statistics and Data Mining Summer School ASDM2011
  • [2009] 12th International Conference on Discovery Science (DS-2009)
  • [2009] 21th Interantional Joint Conference on Artirficial Intelligence (IJCAI-2009)
  • [2009] 25th Conference on Uncertainty in Artificial Intelligence (UAI-2009)
  • [2009] Clasificadores Bayesianos en la Selección Embrionaria en Tratamiento de Reproducción Asistida
  • [2009] European Conference on Machine Learning - Conference on Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2009)
  • [2009] Experto en la Comisión de Selección para la valoración de Proyectos de Investigación Fundamental del Programa Nacional en el Área Temática de Tecnologías Informáticas TIN (Comisión I)
  • [2009] Jornada de Seguimiento de Proyectos en Tecnologías Informáticas
  • [2009] Probabilistic Graphical Models for Decision Making in Medicine
  • [2009] Recursive Probabilistic Graphical Models for Simple Sequential Bayesian Games
  • [2009] Redes Bayesianas
  • [2009] XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA-TTIA 2009)
  • [2008] COMISIÓN DE ORDENACIÓN ACADÉMICA
  • [2008] COMITÉ CIENTÍFICO DEL CONGRESO 11TH IBERO-AMERICAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (IBERAMIA 2008), Lisboa (Portugal)
  • [2008] COMITÉ CIENTÍFICO DEL CONGRESO APPLICATIONS OF MODELLING AS AN INNOVATIVE TECHNOLOGY IN THE AGRI-FOOD CHAIN (MODEL-IT 2008), Madrid (España)
  • [2008] COMITÉ CIENTÍFICO DEL CONGRESO FOURTH EUROPEAN WORKSHOP ON PROBABILISTIC GRAPHICAL MODELS -PGM'08-, Hirtshals (Dinamarca)
  • [2008] Secretaria del Departamento de Inteligencia Artificial en la Facultad de Informática, Universidad Politécnica de Madrid.
  • [2007] Seguimiento de Proyectos en Tecnologías Informáticas
  • [2007] COMISIÓN DE ORDENACIÓN ACADÉMICA
  • [2007] IADIS INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS AND AGENTS -ISA-2007-
  • [2007] IFAC CONFERENCE ON COST EFFECTIVE AUTOMATION IN NETWORKED PRODUCT DEVELOPMENT AND MANUFACTURING¿ ¿IFAC-CEA-2007-
  • [2007] Secretaria del Departamento de Inteligencia Artificial en la Facultad de Informática, Universidad Politécnica de Madrid
  • [2007] THE 18TH EUROPEAN CONFERENCE ON MACHINE LEARNING (ECML) AND THE 11TH EUROPEAN CONFERENCE ON PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES (PKDD)
  • [2007] UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI-2007)
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• Tesis Doctorales
  • [2019] Aprendizaje automático para flujos de datos. Autor: Javier Ramos Fernández
  • [2019] Clustering based on Bayesian networks with Gaussian and angular predictors : applications in Neuroscience. Autor: Sergio Luengo Sánchez.
  • [2019] Clustering probabilístico dinámico para la búsqueda de patrones de degradación de elementos de máquina en el ámbito de la Industria 4.0. Autor: Javier Diaz Rozo.
  • [2019] Continuous data imputation applied to massive instances. Autor: Jorge Zapatero Sánchez.
  • [2019] Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience. Autor: Pablo Fernández González.
  • [2019] Estudio de metodologías de preprocesamiento y clasificación multietiqueta para datos clínicos de pacientes con migraña. Autor: Franklin Parrales.
  • [2019] Estudio y aplicación de métodos basados en interacciones para el aprendizaje automático sobre conjuntos de elementos. Autora: Carla Fernández González.
  • [2019] Generative modeling and calcium imaging. Autor: Jaime Arlandis Castro
  • [2019] Learning Tractable Bayesian Networks. Autor: Marco Benjumeda Barquita.
  • [2019] Learning interpretable Gene Regulatory Networks via merging Bayesian networks. Autor: Nikolas Bernaola Alvarez.
  • [2019] Visualization and interpretation in large Bayesian networks. Autor: Sergio Paniego Blanco.
  • [2018] Contributions to Bayesian network classifiers and interneuron classification
  • [2018] Contributions to Bayesian network classifiers and interneuron classification-
  • [2018] Theoretical studies on Bayesian network classifiers
  • [2017] Statistical and optimization methods for spatial data analysis applied to neuroscience
  • [2016] Detección de Anomalías durante un proceso de Templado láser con un seguimiento Espacio-Temporal
  • [2016] Multi-view Clustering with Bayesian Networks
  • [2015] Caracterización y simulación de arborizaciones dentríticas con redes bayesianas incluyendo variables angulares
  • [2015] Clasificación supervisada de las neuronas de la base de datos NeuroMorpho
  • [2015] Computación evolutiva de bosques de expansión mínimos con restricción de grado y de rol
  • [2015] Fusión de redes Bayesianas Gaussianas
  • [2015] Machine Learning in Scientometrics
  • [2014] Clustering basado en Redes Bayesianas con Predictoras Continuas
  • [2014] Contributions to the Truncated von Mises Distibution for the Univariate and Bivariate Case
  • [2013] Contributions to Bayesian network learning with applications to neuroscience
  • [2013] Contributions to Bayesian network learning with applications to neuroscience (Tesis Internacional. Autor: P.L. López Cruz)
  • [2013] Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data
  • [2013] Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data (Tesis Internacional. Autor: H. Borchani)
  • [2013] Regularized Model Learning in EDAs for Continuous and Multi-Objective Optimization
  • [2013] Regularized Model Learning in EDAs for Continuous and Multi-Objective Optimization (Tesis Internacional. Autor: H. Karshenas)
  • [2012] Regularization for sparsity in statistical analysis and machine learning
  • [2012] Replicated Spatial Point Processes for Statistical Neuroscience
  • [2012] Semi-supervised subspace clustering and applications to neuroscience
  • [2010] Inteligencia artificial para la predicción y control del acabado superficial en procesos de fresado a alta velocidad
  ...
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