Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Maria Concepcion Bielza Lozoya
Categoría Investigador
CATEDRATICO UNIVERSIDAD
Escuela UPM
E.T.S. DE INGENIEROS INFORMÁTICOS
Departamento:
INTELIGENCIA ARTIFICIAL
Centros/Institutos I+D+i
C.TECNOLÓGICO EN INTELIGENCIA ARTIFICIAL
Area Conocimiento
ESTADISTICA E INVESTIGACION OPERATIVA
Grupo de Investigación:
Computational Intelligence Group
Email (Directorio UPM)
c.bielza
upm.es
Web personal (Directorio UPM)
http://cig.fi.upm.es/CIGmembers/concha_bielza
Teléfono (Directorio UPM)
910672883
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
90 Proyectos de I+D+i
1: (2007)
Assessing Quality of Individual Predictions in Medical Decision Support Systems
2: (2007)
E- Democracia-CM Conceptos y Sistemas de Apoyo a la Democracia Electrónica
3: (2007)
E-Democracia: Apoyo a la Toma de Decisiones Complejas Basadas en Internet.
4: (2007)
Nuevas Aproximaciones para el Aprendizaje Multiobjetivo de Modelos de Clasificación Supervisada y para la Síntesis de Conocimiento en Modelos de Análisis de Decisiones.
5: (2007)
Red Temática de Decisiones Multicriterio
6: (2007)
Renovación de la Red Temática en Modelos Gráficos Probabilísticos y Aplicaciones
7: (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
8: (2008)
Cajal Blue Brain
9: (2008)
Conceptos y Sistemas de Apoyo a la Democracia Electrónica
10: (2008)
European Master Course in Computational Logic
11: (2008)
IV international Symposium on Applications of Modeling as an Innovative Technology in the Agri-Food Chain (Model-It 2008)
12: (2008)
JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGÍAS INFORMÁTICAS
13: (2008)
NUEVAS APROXIMACIONES PARA EL APRENDIZAJE MULTIOBJETIVO DE MODELOS DE CLASIFICACIÓN SUPERVISADA Y PARA LA SÍNTESIS DE CONOCIMIENTO EN MODELOS DE ANÁLISIS DE DECISIONES
14: (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
15: (2009)
Assessing Quality of Individual Predictions in Medical Decision Support Systems
16: (2009)
Cajal Blue Brain Project
17: (2009)
JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
18: (2009)
JORNADAS DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
19: (2009)
mIO!: Tecnologías para prestar Servicios en Movilidad en el Futuro Universo Inteligente
20: (2009)
Multimodal Interaction in Pattern Recognition and Computer Vision
21: (2009)
NUEVAS APROXIMACIONES PARA EL APRENDIZAJE MULTIOBJETIVO DE MODELOS DE CLASIFICACION SUPERVISADA Y PARA LA SINTESIS DE CONCIMIENTO EN MODELOS DE ANALISIS DE DECIS
22: (2009)
SISTEMA PROBABILISTICO INTELIGENTE PARA MODELIZAR LA PRODUXTIVIDAD CENTENTIFICA ......
23: (2010)
ADAPTACIÓN DINÁMICA DEL CAMBIO EN SISTEMAS DE APRENDIZAJE
24: (2010)
ASESORAMIENTO TÉCNICO EN LA REALIZACIÓN DE ESTUDIOS DE CALIDAD DEL SERVICIO, CONSULTAS SATIFACCIÓN DE CLIENTES, EVALUACIÓN DE MODELOS DE CALIDAD Y FORMACIÓN INTE
25: (2010)
CAJAL BLUE BRAIN PROJECT
26: (2010)
CONSOLIDEr INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
27: (2010)
CONSORCIO CENIT MIO TECNOLOGÍAS PARA PRESTAR SERVICIOS EN MOVILIDAD EN EL FUTURO INTELIGENTE.
28: (2010)
DYNAMO
29: (2010)
JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
30: (2010)
JORNADA DE SEGUIMIENTO DE PROYECTOS EN TECNOLOGIAS INFORMATICAS
31: (2010)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
32: (2010)
NUEVAS APROXIMACIONES PARA EL APRENDIZAJE MULTIOBJETIVO DE MODELOS DE CLASIFICACION SUPERVISADA Y PARA LA SINTESIS DE CONCIMIENTO EN MODELOS DE ANALISIS DE DECIS
33: (2010)
REALIZACIÓN DE ESTUDIOS DE CALIDAD DE SERVICI, ANÁLISIS DE DATOS CONSULTAS A CLIENTES, EVALUACIÓN DE MODELOS DE CALIDAD Y FORMACIÓN INTERNA.
34: (2010)
REALIZACIÓN DEL TRABAJO DE MINERIA DE DATOS Y GEOMARKETING SOBRE DATOS FINANCIEROS BANCARIOS.
35: (2010)
SISTEMA PROBABILISTICO INTELIGENTE PARA MODELIZAR LA PRODUXTIVIDAD CENTENTIFICA ......
36: (2011)
Cajal Blue Brain
37: (2011)
CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
38: (2011)
DYNAMO
39: (2011)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
40: (2011)
PROBABILISTIC MAPPING PDQ-39/PDQ-8 TO EQ-5D
41: (2012)
CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
42: (2012)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
43: (2012)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
44: (2012)
Red Española de Minería de Datos y Aprendizaje
45: (2012)
Red Temática Española para el Avance y la Transferencia de la Inteligencia Computacional Aplicada (ATICA)
46: (2013)
HBP - Human Brain Project
47: (2013)
HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
48: (2013)
HBP: The Human Brain Project HBP
49: (2013)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
50: (2014)
APRENDIZAJE DE REDES BAYESIANAS CON VARIABLES SIN Y CON DIRECCIONALIDAD PARA DESCUBRIMIENTO DE ASOCIACIONES PREDICCIÓN MULTIRESPUESTA Y CLUSTERING
51: (2014)
Conceptos y Aplicaciones de los Sistemas Inteligentes
52: (2014)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
53: (2014)
HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
54: (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
55: (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
56: (2015)
CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES (CASI-CAM)
57: (2015)
CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES (CASI-CAM)
58: (2015)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
59: (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
60: (2015)
HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
61: (2015)
Mixed-BN: Aprendizaje de redes Bayesianas con variables sin y con direccionalidad para descubrimiento de asociaciones, predicción multirespuesta y clustering
62: (2016)
: Multi‐view clustering with Bayesian networks
63: (2016)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
64: (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
65: (2016)
HBP SGA1: Human Brain Project Specific Grant Agreement 1
66: (2016)
HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
67: (2016)
MILANO-BAYES: Avances en clasificación MultidImensionaL y detección de ANOmalías con redes BAYESianas
68: (2016)
PROGRAMA INFORMÁTICO DE PREDICCIÓN Y ANÁLISIS EN EL ÁMBITO DEPORTIVO UTILIZANDO INTELIGENCIA ARTIFICIAL
69: (2016)
TERMPROB: Investigación en sistemas ciber-físicos para la detección de anomalías mediante modelos probabilísticos dinámicos en nuevos procesos de tratamiento térmico medioambientalmente sostenibles
70: (2017)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
71: (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
72: (2017)
PROGRAMA INFORMÁTICO DE PREDICCIÓN Y ANÁLISIS EN EL ÁMBITO DEPORTIVO UTILIZANDO INTELIGENCIA ARTIFICIAL
73: (2018)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES
74: (2018)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
75: (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
76: (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
77: (2018)
HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
78: (2018)
HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
79: (2018)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
80: (2018)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
81: (2018)
INVESTIGACIÓN EN SISTEMAS CIBER-FÍSICOS PARA LA DETECCIÓN DE ANOMALÍAS MEDIANTE MODELOS PROBABILÍSITOCS DINÁMICOS EN NUEVOS PROCESOS DE TRATAMIENTO TÉRMICO MEDIAMBIENTALMENTE SOSTENIBLES (TERMPROB)
82: (2018)
MULTI-VIEW CLUSTERING WITH BAYESUAN NETWORKS
83: (2018)
NUEVA INFRAESTRUCTURA IOT INDUSTRIAL PARA LA FÁBRICA QUE APRENDE (LEARNIIOT)
84: (2018)
PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
85: (2019)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
86: (2019)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
87: (2019)
IA REDES BAYESIANAS
88: (2019)
IT BASKET
89: (2019)
NUEVA INFRAESTRUCTURA IOT INDUSTRIAL PARA LA FÁBRICA QUE APRENDE (LEARNIIOT)
90: (2019)
PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
Formación de Investigadores y Movilidad
34 Tesis Doctorales
1: (2010)
Inteligencia artificial para la predicción y control del acabado superficial en procesos de fresado a alta velocidad
2: (2012)
Regularization for sparsity in statistical analysis and machine learning
3: (2012)
Replicated Spatial Point Processes for Statistical Neuroscience
4: (2012)
Semi-supervised subspace clustering and applications to neuroscience
5: (2013)
Contributions to Bayesian network learning with applications to neuroscience
6: (2013)
Contributions to Bayesian network learning with applications to neuroscience (Tesis Internacional. Autor: P.L. López Cruz)
7: (2013)
Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data
8: (2013)
Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data (Tesis Internacional. Autor: H. Borchani)
9: (2013)
Regularized Model Learning in EDAs for Continuous and Multi-Objective Optimization
10: (2013)
Regularized Model Learning in EDAs for Continuous and Multi-Objective Optimization (Tesis Internacional. Autor: H. Karshenas)
11: (2014)
Clustering basado en Redes Bayesianas con Predictoras Continuas
12: (2014)
Contributions to the Truncated von Mises Distibution for the Univariate and Bivariate Case
13: (2015)
Caracterización y simulación de arborizaciones dentríticas con redes bayesianas incluyendo variables angulares
14: (2015)
Clasificación supervisada de las neuronas de la base de datos NeuroMorpho
15: (2015)
Computación evolutiva de bosques de expansión mínimos con restricción de grado y de rol
16: (2015)
Fusión de redes Bayesianas Gaussianas
17: (2015)
Machine Learning in Scientometrics
18: (2016)
Detección de Anomalías durante un proceso de Templado láser con un seguimiento Espacio-Temporal
19: (2016)
Multi-view Clustering with Bayesian Networks
20: (2017)
Statistical and optimization methods for spatial data analysis applied to neuroscience
21: (2018)
Contributions to Bayesian network classifiers and interneuron classification
22: (2018)
Contributions to Bayesian network classifiers and interneuron classification-
23: (2018)
Theoretical studies on Bayesian network classifiers
24: (2019)
Aprendizaje automático para flujos de datos. Autor: Javier Ramos Fernández
25: (2019)
Clustering based on Bayesian networks with Gaussian and angular predictors : applications in Neuroscience. Autor: Sergio Luengo Sánchez.
26: (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.
27: (2019)
Continuous data imputation applied to massive instances. Autor: Jorge Zapatero Sánchez.
28: (2019)
Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience. Autor: Pablo Fernández González.
29: (2019)
Estudio de metodologías de preprocesamiento y clasificación multietiqueta para datos clínicos de pacientes con migraña. Autor: Franklin Parrales.
30: (2019)
Estudio y aplicación de métodos basados en interacciones para el aprendizaje automático sobre conjuntos de elementos. Autora: Carla Fernández González.
31: (2019)
Generative modeling and calcium imaging. Autor: Jaime Arlandis Castro
32: (2019)
Learning interpretable Gene Regulatory Networks via merging Bayesian networks. Autor: Nikolas Bernaola Alvarez.
33: (2019)
Learning Tractable Bayesian Networks. Autor: Marco Benjumeda Barquita.
34: (2019)
Visualization and interpretation in large Bayesian networks. Autor: Sergio Paniego Blanco.
Difusión de Resultados de Investigación
218 Artículos en revistas
1: (2007)
A Graphical Decision-Theoretic Model for Neonatal Jaundice
2: (2008)
A Bayesian Network Model for Surface Roughness Prediction in the Machining Process
3: (2008)
A review of estimation of distribution algorithms in bioinformatics
4: (2008)
Explaining Clinical Decisions by Extracting Regularity Patterns
5: (2008)
Optimizing Logistic Regression Coefficients for Discrimination and Calibration Using Estimation of Distribution Algorithms
6: (2009)
Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process
7: (2009)
Data Mining Validation of Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing
8: (2009)
Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers
9: (2009)
Predicting citation count of Bioinformatics papers within four years of publication
10: (2010)
Comparison between supervised and unsupervised classifications of neuronal cell types: a case study
11: (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)
12: (2010)
Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space
13: (2010)
Mateda-2.0: Estimation of Distribution Algorithms in MATLAB
14: (2010)
Modelling Challenges with Influence Diagrams: Constructing Probability and Utility Models
15: (2010)
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
16: (2010)
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
17: (2011)
A review of representation issues and modeling challenges with influence diagrams
18: (2011)
Classifying evolving data streams with partially labeled data
19: (2011)
Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study
20: (2011)
Comparison of metaheuristics strategies for peakbin selection in proteomic mass spectrometry data
21: (2011)
Dealing with complex queries in decision-support systems
22: (2011)
Forward Stagewise Naive Bayes
23: (2011)
Lazy Lasso for local regression
24: (2011)
Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks
25: (2011)
Multi-dimensional classification with Bayesian networks
26: (2011)
On nonlinearity in neural encoding models applied to the primary visual cortex
27: (2011)
On nonlinearity in neural encoding models applied to the primary visual cortex
28: (2011)
Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms
29: (2011)
Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation
30: (2011)
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms
31: (2011)
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data
32: (2011)
Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals
33: (2012)
A comparison of clustering quality indices using outliers and noise
34: (2012)
A new feature extraction method for signal classification applied to cat spinal cord signals
35: (2012)
A review on probabilistic graphical models in evolutionary computation
36: (2012)
A review on probabilistic graphical models in evolutionary computation,
37: (2012)
Alan Turing and Bayesian Statistics
38: (2012)
Alan Turing y la Neurociencia
39: (2012)
Biomedical Informatics Publications: a Global Perspective Part I: Conferences
40: (2012)
Biomedical Informatics Publications: a Global Perspective Part II: Journals
41: (2012)
Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models
42: (2012)
Ensemble transcript interaction networks: A case study on Alzheimer's disease
43: (2012)
Forward Stagewise Naive Bayes
44: (2012)
Lazy lasso for local regression
45: (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)
46: (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)
47: (2012)
Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes
48: (2012)
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
49: (2012)
Regularized logistic regression and multi-objective variable selection for classifying MEG data
50: (2012)
Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009
51: (2013)
Directional naive Bayes classifiers
52: (2013)
A review on evolutionary algorithms in Bayesian network learning and inference tasks
53: (2013)
A review on evolutionary algorithms in Bayesian network learning and inference tasks
54: (2013)
A review on evolutionary algorithms in Bayesian network learning and inference tasks
55: (2013)
A Survey of L-1 Regression
56: (2013)
A Survey of L1- Regression
57: (2013)
A survey on L1-regression
58: (2013)
AN L-1-REGULARIZED NAIVE BAYES-INSPIRED CLASSIFIER FOR DISCARDING REDUNDANT AND IRRELEVANT PREDICTORS
59: (2013)
An L1-regularized naive Bayes-inspired classifier for discarding redundant predictors
60: (2013)
Análisis de la actividad científica de las universidades públicas españolas en el área de las tecnologías de la información
61: (2013)
Analysis of scientific activity in Spanish public universities in the area of computer science
62: (2013)
Augmented Semi-naive Bayes Classifier
63: (2013)
Bayesian network modeling of the consensus between experts: An application to neuron classification
64: (2013)
Bayesian network modeling of the consensus between experts: An application to neuron classification
65: (2013)
Bayesian Sparse Partial Least Squares
66: (2013)
Bayesian sparse partial least squares
67: (2013)
Classification of neocortical interneurons using affinity propagation
68: (2013)
Classification of neocortical interneurons using affinity propagation
69: (2013)
Classification of neural signals from sparse autoregressive features
70: (2013)
Classification of neural signals from sparse autoregressive features
71: (2013)
Cluster methods for assessing research performance: Exploring Spanish computer science
72: (2013)
Cluster methods for assessing research performance: exploring Spanish computer science
73: (2013)
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
74: (2013)
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
75: (2013)
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
76: (2013)
Directional naive Bayes classifiers
77: (2013)
Directional naive Bayes classifiers
78: (2013)
Learning Conditional Linear Gaussian Classifiers with Probabilistic Class Labels
79: (2013)
Learning Mixtures of Polynomials of Conditional Densities from Data
80: (2013)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
81: (2013)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
82: (2013)
Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery
83: (2013)
Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery
84: (2013)
Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery
85: (2013)
Multi-objective estimation of distribution algorithm based on joint modeling of objectives and variables
86: (2013)
Multi-objective estimation of distribution algorithm based on joint modeling of objectives and variables
87: (2013)
Network measures for information extraction in evolutionary algorithms
88: (2013)
Network measures for information extraction in evolutionary algorithms
89: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
90: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
91: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
92: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
93: (2013)
Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables
94: (2013)
Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables
95: (2013)
Parameter control of genetic algorithms by learning and simulation of Bayesian networks - A case study for the optimal ordering of tables
96: (2013)
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
97: (2013)
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
98: (2013)
Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
99: (2013)
Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
100: (2013)
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
101: (2013)
Regularized continuous estimation of distribution algorithms
102: (2013)
Regularized continuous estimation of distribution algorithms
103: (2013)
Regularized continuous estimation of distribution algorithms
104: (2013)
Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009
105: (2013)
Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000-2009
106: (2013)
Sparse regularized local regression
107: (2013)
Sparse regularized local regression
108: (2013)
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
109: (2013)
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
110: (2014)
Bayesian network modeling of the consensus between experts: An application to neuron classification
111: (2014)
Bayesian network modeling of the consensus between experts: An application to neuron classification
112: (2014)
Bayesian networks in neuroscience: a survey
113: (2014)
Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas
114: (2014)
Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas
115: (2014)
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
116: (2014)
Conditional density approximations with mixtures of polynomials
117: (2014)
Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals
118: (2014)
Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals
119: (2014)
Discrete Bayesian Network Classifiers: A Survey
120: (2014)
Discrete Bayesian network classifiers: A survey
121: (2014)
Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification
122: (2014)
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
123: (2014)
Interval-based ranking in noisy evolutionary multiobjective optimization
124: (2014)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
125: (2014)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
126: (2014)
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
127: (2014)
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
128: (2014)
Multi-Dimensional Classification with Super-Classes
129: (2014)
Multi-dimensional classification with super-classes
130: (2014)
Multi-label classification with Bayesian network-based chain classifiers
131: (2014)
Multi-label classification with Bayesian network-based chain classifiers
132: (2014)
Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables
133: (2014)
Predicting EQ-5D from the Parkinson's disease questionnaire PDQ-8 using multi-dimensional Bayesian network classifiers
134: (2014)
Random positioning of dendritic spines in the human cerebral cortex
135: (2014)
Random positioning of dendritic spines in the human cerebral cortex
136: (2014)
Random Positions of Dendritic Spines in Human Cerebral Cortex
137: (2014)
Semi-supervised projected model-based clustering
138: (2014)
Semi-supervised projected model-based clustering
139: (2014)
Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
140: (2014)
Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
141: (2014)
Three-Dimensional Spatial Distribution of Synapses in the Neocortex: A Dual-Beam Electron Microscopy Study
142: (2014)
Three-dimensional spatial distribution of synapses in the neocortex: A dual-beam electron microscopy study
143: (2015)
A survey on multi-output regression
144: (2015)
A univocal definition of the neuronal soma morphology using Gaussian mixture models
145: (2015)
Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons
146: (2015)
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
147: (2015)
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
148: (2015)
Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
149: (2015)
Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
150: (2015)
Conditional Density Approximations with Mixtures of Polynomials
151: (2015)
Conditional Density Approximations with Mixtures of Polynomials
152: (2015)
Conditional Density Approximations with Mixtures of Polynomials
153: (2015)
Decision Boundary for Discrete Bayesian Network Classifiers
154: (2015)
Decision functions for chain classifiers based on Bayesian networks for multi-label classification
155: (2015)
Directional naive Bayes classifiers
156: (2015)
Directional naive Bayes classifiers
157: (2015)
Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data
158: (2015)
Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data
159: (2015)
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
160: (2015)
Guest Editors introduction: special issue of the ECMLPKDD 2015 journal track
161: (2015)
Guest editors introduction: special issue of the ECMLPKDD 2015 journal track
162: (2015)
Interval-based ranking in noisy evolutionary multi-objective optimization
163: (2015)
Interval-based ranking in noisy evolutionary multi-objective optimization
164: (2015)
Learning Bayesian networks with low inference complexity
165: (2015)
Recent Advances in Probabilistic Graphical Models
166: (2015)
Regularized Multivariate von Mises Distribution
167: (2015)
The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer's disease
168: (2015)
The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer's disease
169: (2015)
Towards Gaussian Bayesian Network Fusion
170: (2016)
Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot
171: (2016)
Data Publications Correlate with Citation Impact
172: (2016)
Decision functions for chain classifiers based on Bayesian networks for multi-label classification
173: (2016)
Dendritic and Axonal Wiring Optimization of Cortical GABAergic Interneurons
174: (2016)
Dendritic and axonal wiring optimization of cortical GABAergic interneurons
175: (2016)
Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex
176: (2016)
Dendritic-branching angles of pyramidal neurons of the human cerebral cortex
177: (2016)
Frobenius norm regularization for the multivariate von Misses distribution
178: (2016)
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
179: (2016)
Hybrid Gaussian and von Mises Model-Based Clustering
180: (2016)
Laminar Differences in Dendritic Structure of Pyramidal Neurons in the Juvenile Rat Somatosensory Cortex
181: (2016)
Learning Bayesian networks with low inference complexity
182: (2016)
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
183: (2016)
Tree-Structured Bayesian Networks for Wrapped Cauchy Directional Distributions
184: (2016)
Wiring Economy of Pyramidal Cells in the Juvenile Rat Somatosensory Cortex
185: (2016)
Wiring economy of pyramidal cells in the juvenile rat somatosensory cortex
186: (2017)
Architecture for anomaly detection in a laser heating surface process
187: (2017)
Dendritic-branching angles of pyramidal neurons of the human cerebral cortex
188: (2017)
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
189: (2017)
Frobenius Norm Regularization for the Multivariate Von Mises Distribution
190: (2017)
Machine Learning-based CPS for clustering high throughput machine cycle conditions
191: (2017)
Machine learning-based CPS for clustering high throughput machining cycle conditions
192: (2017)
Network design through forests with degree- and role- constrained minimum spanning trees
193: (2017)
Network design through forests with degree- and role-constrained minimum spanning trees
194: (2017)
Parkinson's Disease Subtypes Identified from Cluster Analysis of Moto rand Non-motor Symptoms
195: (2017)
Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons
196: (2017)
Univariate and bivariate truncated von Mises distributions
197: (2018)
A regularity index for dendrites - local statistics of a neuron's input space
198: (2018)
Asymmetric Hidden Markov Models with Continuous Variables
199: (2018)
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
200: (2018)
bnclassify: Learning Bayesian Network Classifiers
201: (2018)
Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes
202: (2018)
Clustering of Data Streams with Dynamic Gaussian Mixture Models. An IoT Application in Industrial Processes
203: (2018)
MultiMap: A Tool to Automatically Extract and Analyse Spatial Microscopic Data From Large Stacks of Confocal Microscopy Images
204: (2018)
Patterns of dendritic basal field orientation of pyramidal neurons in the rat somatosensory cortex
205: (2018)
Towards a supervised classification of neocortical interneuron morphologies
206: (2018)
Tractability of most probable explanations in multidimensional Bayesian network classifiers
207: (2018)
3D morphology-based clustering and simulation of human pyramidal cell dendritic spines
208: (2019)
A circular-linear dependence measure under Johnson?Wehrly distributions and its application in Bayesian networks. Autor: Ignacio Leguey.
209: (2019)
A Directional-Linear Bayesian Network and Its Application for Clustering and Simulation of Neural Somas
210: (2019)
A directional-linear Bayesian network and its application for clustering and simulation of neural somas
211: (2019)
Circular Bayesian classifiers using wrapped Cauchy distributions
212: (2019)
Classification of GABAergic interneurons by leading neuroscientists
213: (2019)
Learning Bayesian networks with low inference complexity
214: (2019)
Learning tractable Bayesian networks in the space of elimination orders
215: (2019)
Random Forests for Regression as a Weighted Sum of k-Potential Nearest Neighbors
216: (2019)
Tractable learning of Bayesian networks from partially observed data
217: (2019)
Tractable learning of Bayesian networks from partially observed data
218: (2019)
Tractable learning of Bayesian networks from partially observed data
12 Capítulos de libros
1: (2009)
Probabilistic Graphical Markov Model Learning: An Adaptive Strategy
2: (2012)
Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
3: (2013)
Augmented semi-Naive Bayes classifier
4: (2013)
Learning conditional linear Gaussian classifiers with probabilistic class labels
5: (2013)
Learning mixtures of polynomials of conditional densities from data
6: (2013)
Semi-supervised projected clustering for classifying GABAergic interneurons
7: (2013)
Semi-supervised projected clustering for classifying GABAergic interneurons
8: (2014)
Concise Encyclopaedia of Bioinformatics and Computational Biology, 28 Entries
9: (2015)
Regularized Multivariate von Mises Distribution
10: (2015)
Towards Gaussian Bayesian network fusion
11: (2016)
Tree-structured Bayesian networks for wrapped Cauchy directional distributions
12: (2017)
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
8 Conferencias invitadas en congresos
1: (2007)
MOS: Multiple Offspring Sampling
2: (2010)
Classification of MEG data using a combined machine learning approach
3: (2012)
Bayesian Networks in Neuroscience
4: (2013)
Bayesian Networks to Answer Challenging Neuroscience Questions
5: (2013)
Conferencia Plenaria: Bayesian networks to answer challenging neuroscience questions
6: (2014)
Conferencia Plenaria: Neuronanatomy, neurology and Bayesian networks
7: (2015)
Bayesian Networks for Neuroscience Challenges
8: (2019)
Global Innovation Day at the Week of Science
43 Cursos, seminarios y tutoriales
1: (2007)
Análisis de Datos con Excel
2: (2007)
Análisis de Datos con Excel
3: (2007)
Redes Bayesianas: Fundamentos y Aplicaciones
4: (2008)
Análisis de Datos con Excel
5: (2008)
Análisis de Datos con Excel
6: (2008)
Análisis de Encuestas con SPSS en Centros Educativos en Alemania
7: (2008)
Gaussian Network Learning and EDAs in the Regularization Context
8: (2009)
Análisis Inteligente de Datos Aplicado a la Microbiología
9: (2009)
Bayesian Networks
10: (2009)
Computational Intelligence for Neuroscience
11: (2009)
Estimation of Distribution Algorithms and Regularization
12: (2009)
Gaussian Networks, EDAs and Regularization
13: (2009)
Introduction to SPSS, Practical sessions: SPSS
14: (2009)
L1-regularized Gaussian Networks. EDAs as Logistic Regression Regulators
15: (2009)
Machine Learning and Neuroscience
16: (2009)
Supervising Pattern Recognition
17: (2010)
Computational Modelling in Neuroscience. Experiences in the Cajal Blue Brain Project
18: (2012)
Advanced Statistics and Data Mining Summer-school
19: (2012)
Bayesian Networks in Neuroanatomy and Neurodegenerative Diseases
20: (2012)
Inteligencia Artificial en Neurociencia
21: (2013)
Advanced Statistics and Data Mining Summer School
22: (2013)
Bayesian classifiers
23: (2013)
Bayesian networks
24: (2013)
Bayesian Networks in Computational Neuroscience
25: (2013)
Bayesian networks in computational neuroscience
26: (2013)
Feature subset selection
27: (2013)
Hot topics in intelligent data analysis
28: (2013)
Supervised pattern recognition
29: (2014)
Advanced Statistics and Data Mining Summer School
30: (2014)
Bayesian classifiers
31: (2014)
Bayesian networks
32: (2014)
Data Mining for Efficient Recommendations and Predictions
33: (2014)
Feature subset selection
34: (2014)
Ingeniería de datos: una visión introductoria
35: (2014)
Supervised pattern recognition
36: (2015)
Advanced Statistics and Data Mining Summer School 2015
37: (2017)
The algebra of generative classifiers
38: (2017)
A Bayesian network for linear-circular data
39: (2017)
Directional-linear data clustering using structural expectation-maximization algorithm
40: (2017)
Hybrid mutual information
41: (2017)
Machine Learning-based CPS for clustering high throughput machine cycle conditions
42: (2017)
The algebra of generative classifiers
43: (2018)
Madrid UPM Advanced Statistics and Data Mining Summer School
59 Informes para las AAPP o sus organismos dependientes
1: (2007)
Evaluadora de PROYECTO DE INVESTIGACIÓN PARA LA AGENCIA NACIONAL DE EVALUACIÓN Y PROSPECTIVA (ANEP) ADSCRITA AL MINISTERIO DE EDUCACIÓN Y CIENCIA
2: (2007)
Evaluadora Externa de Tesis Doctoral de Paula Jordá Matarredona
3: (2010)
Evaluación de una plaza de Associate Professor in Computer Science
4: (2011)
Experto en la Comisión de Evaluación de Proyectos de Investigación Fundamental del Plan Nacional en el Área Temática de Tecnologías Informáticas TIN
5: (2011)
Miembro de la Comisión de Seguimiento de Proyectos de Invetigación Fundamental del Plan Nacional en el Área Temática de Tecnologías Informáticas TIN
6: (2012)
Evaluadora de Proyectos de Investigación para la Agencia Nacional de Investigación de Francia (ANR)
7: (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
8: (2012)
Evaluadora de 2 Proyectos de Investigación para la Agencia Nacional de Evaluación y Prospectiva
9: (2012)
Experta Evaluadora en la Certificación de Proyectos Empresariales de I+D+i (para deducciones fiscales)
10: (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
11: (2012)
Pertenencia a comités de programa de congresos internacionales: International Conference on Pattern Recognition Applications and Methods (ICPRAM-2012) Algarve, Portugal
12: (2012)
Pertenencia a comités de programa de congresos internacionales: Sixth European Workshop on Probabilistic Graphical Models (PGM'12) Granada, España
13: (2012)
Pertenencia a comités de programa de congresos internacionales: 2012 Genetic and Evolutionary Computation Conference (GECCO-2012). Estimation of Distribution Algorithms Track. Philadelphia, EEUU
14: (2012)
Pertenencia a comités de programa de congresos internacionales: 28th Conference on Uncertainty in Artificial Intelligence (UAI-2012), Catalina Island
15: (2012)
Pertenencia a comités de programa de congresos internacionales: 28th Conference on Uncertainty in Artificial Intelligence (UAI-2012). Catalina Island, EEUU
16: (2012)
Pertenencia a comités de programa de congresos internacionales: 4th Biennial European Conference of the Society for Medical Decision Making (ESMDM-2012) Oslo, Noruega
17: (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
18: (2012)
Pertenencia a comités de programa de congresos internacionales: 9th Bayesian Modelling Applications Workshop (dentro de UAI-2012) Catalina Island, EEUU
19: (2012)
Revisora en Computational Statistics and Data Analysis
20: (2012)
Revisora en Information Sciences
21: (2012)
Revisora en Information Sciences
22: (2013)
Miembro de Comités Científicos. IEEE Congress on Evolutionary Computation (IEEE CEC-2013)
23: (2013)
Miembro de Comités Científicos. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2013)
24: (2013)
Miembro de Comités Científicos. 12th European Conference on Symbolic and Quantitative approaches to Reasoning with Uncertainty (ECSQARU-2013)
25: (2013)
Miembro de Comités Científicos. 2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
26: (2013)
Miembro de Comités Científicos. 23rd International Joint Conference on Artificial Intelligence (IJCAI-13)
27: (2013)
Revisora de Libros. Bayesian Networks in R
28: (2013)
Revisora de revista JCR. Annals of Operations Research
29: (2013)
Revisora de revista JCR. Journal of Biomedical Informatics
30: (2014)
Pertenencia a comités de programa de conferencias. Seventh European Workshop on Probabilistic Graphical Models (PGM'14)
31: (2014)
Pertenencia a comités de programa de conferencias. 15th Biennial European Conference of the Society for Medical Decision Making (ESMDM-2014)
32: (2014)
Pertenencia a comités de programa de conferencias. 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2014)
33: (2014)
Pertenencia a comités de programa de conferencias. 2014 Genetic and Evolutionary Computation Conference (GECCO-2014)
34: (2014)
Pertenencia a comités de programa de conferencias. 21st European Conference on Artificial Intelligence (ECAI-2014)
35: (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
36: (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
37: (2014)
Revisora de revista JCR. Computer Methods and Programs in Biomedicine
38: (2014)
Revisora de revista JCR. IEEE Transactions on Pattern Analysis and Machine Intelligence
39: (2014)
Revisora de revista JCR. Journal of Computer Science and Technology
40: (2014)
Revisora de revista JCR. Machine Learning
41: (2014)
Revisora de revista JCR. Neurocomputing
42: (2014)
Revisora de revista JCR. The Scientific World Journal
43: (2015)
Co-chair de Journal Track of european Conference on machine Learning and Principles and practice of Knowledge Discovery in Databases (ECML PKDD-2015)
44: (2015)
Comité Editorial. Frontiers in Computational Neuroscience, Nature Frontiers
45: (2015)
Miembro de la Comisión de Evaluación de la Promoción de Profesores de Investigación
46: (2015)
Miembro de la Comisión de evaluación de los Contratos Postdoctorales Juan de la Cierva 2014
47: (2015)
Miembro de la Comisión de Evaluación de los Proyectos de Investigación para la Agencia Nacional de Investigaciones de la República Checa
48: (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)
49: (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-
50: (2015)
Pertenencia a comités de programa de conferencias. I Workshop "BigData y Análisis de Datos Escalable" (BigDADE-2015)
51: (2015)
Pertenencia a comités de programa de conferencias. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA-2015)
52: (2015)
Pertenencia a comités de programa de conferencias. 2015 Genetic and Evolutionary Computation Conference (GECCO-2015). Estimation of Distribution Algorithms Track
53: (2015)
Pertenencia a comités de programa de conferencias. 3rd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2015)
54: (2015)
Revisor de revista JCR. Computers in Biology and Medicine
55: (2015)
Revisor de revista JCR. International Journal of Approximate Reasoning
56: (2015)
Revisor de revista JCR. Journal of Applied Statistics
57: (2015)
Revisor de revista JCR. Journal of the Neurological Sciences
58: (2016)
Graphoids and separoids in model theory
59: (2017)
Multi-facet determination for clustering with Bayesians networks
6 Libros
1: (2011)
Productividad y visibilidad científica de los profesores funcionarios de las universidades públicas españolas en el área de tecnologías informáticas
2: (2013)
Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013)
3: (2013)
Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013)
4: (2013)
Advances in Artificial Intelligence
5: (2013)
Advances in Artificial Intelligence
6: (2018)
Industrial Applications of Machine Learning
16 Otras Publicaciones
1: (2008)
Data Mining
2: (2011)
Restating Parkinson's disease severity indices by means of non-motor criteria
3: (2012)
Alan Turing y la Estadística Bayesiana
4: (2012)
An interval-based multi-objective approach to feature subset selection using joint modeling of objectives and variables
5: (2012)
Curso Bayesian Networks
6: (2012)
Curso Machine Learning
7: (2012)
Multi-objective Estimation of Distribution Algorithm based on joint modelling of objectives and variables
8: (2013)
Avances en el Pronóstico de la Cirugía de la Epilepsia
9: (2013)
Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm
10: (2013)
Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm
11: (2013)
Desarrollan un Kit que Predice la Supervivencia al Cáncer de Pulmón
12: (2014)
Decision boundary for discrete Bayesian networks classifiers
13: (2014)
La Mente Artificial Aprende a Inventar
14: (2015)
Evolutionary computation of forests with Degree- and Role-Constrained Minimum Spanning Trees
15: (2015)
Los Ladridos Caracterizan a los Perros Igual que la Voz a las Personas
16: (2015)
Univariate and bivariate truncated von Mises distributions
61 Ponencia en Congresos
1: (2007)
Optimización Biobjetivo para la Presentación Concisa de Tablas Estadísticas
2: (2007)
Predicción de la Calidad Superficial Usando Modelos Probabilísticos
3: (2008)
Actas electrónicas del "Sparse Optimization and Variable Selection, ICML/UAI/COLT 2008 Workshop"
4: (2008)
Proceedings of the BeNeLux Bioinformatics Conference 2008
5: (2008)
XVII Congreso de Máquinas-Herramienta y Tecnologías de Fabricación
6: (2009)
Mining Probabilistic Models Learned by EDAs in the Optimization of Multi-Objective Problems
7: (2009)
Variable Selection in Local Regression Models via an Iterative LASSO
8: (2010)
Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms
9: (2010)
Learning CB-decomposable Multi-dimensional Bayesian Network Classifiers
10: (2010)
Mining concept-drifting data streams containing labeled and unlabeled instances
11: (2010)
Synergies between network-based representation and probabilistic graphical models for classification, inference and optimization problems in neurosciences
12: (2010)
Using probabilistic dependencies improves the search of conductance-based compartmental neuron models
13: (2011)
Affinity Propagation Enhanced by Estimation of Distribution Algorithms
14: (2011)
An Ensemble of Classifiers with Multiple Sources of Information for MEG Data
15: (2011)
Bayesian Chain Classifiers for Multidimensional Classification
16: (2011)
Learning multi-dimensional Bayesian network classifiers using Markov blankets: A case study in the prediction of HIV protease inhibitors
17: (2011)
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables
18: (2011)
Predicting the h-index with cost-sensitive naive Bayes
19: (2011)
Quantitative Genetics in Multi-Objective Optimization Algorithms: From Useful Insights to Effective Methods
20: (2011)
Regularized k-order Markov Models in EDAs
21: (2011)
The von Mises naïve Bayes classifier for angular data
22: (2012)
A Survey on Replicated Spatial Point Patterns with Case Study on Dendritic Spine Distribution in Pyramidal Neurons
23: (2012)
Learning mixtures of polynomials from data using B-spline interpolation
24: (2012)
Maximizing the number of polychronous groups in spiking networks
25: (2012)
Multi-Objective Optimization Approach to the Analysis of Inter-Subject and Inter-Session Variability in BCI Experiments
26: (2012)
Restating clinical impression of severity index for Parkinson's disease using just non-motor criteria
27: (2013)
Augmented Semi-naive Bayes Classifier
28: (2013)
BayesClass: An R package for learning Bayesian network classifiers
29: (2013)
Learning conditional linear Gaussian classifiers with probabilistic class labels
30: (2013)
Learning mixtures of polynomials of conditional densities from data
31: (2013)
Semi-supervised projected clustering for classifying GABAergic interneurons
32: (2013)
Spatial Analysis of Dendritic Spines Distribution with Bayesian Networks
33: (2013)
Spatial statistics in Neuroscience
34: (2013)
Towards optimal neuronal wiring through estimation of distribution algorithms
35: (2014)
Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-Label Classification
36: (2015)
Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control
37: (2015)
Learning low inference complexity Bayesian networks
38: (2015)
Multidimensional classifiers for neuroanatomical data
39: (2015)
Towards Gaussian Bayesian network fusion
40: (2016)
Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot
41: (2016)
Bayesian Gaussian networks for multidimensional classification of morphologically characterized neurons in the NeuroMorpho repository
42: (2016)
Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control
43: (2016)
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
44: (2016)
Hybrid Gaussian and von Mises model-based clustering
45: (2016)
Learning tractable multidimensional Bayesian network classifiers
46: (2017)
A Bayesian network model for linear circular data
47: (2017)
Architecture for anomaly detection in a laser heating surface process
48: (2017)
Directional-linear data clustering using structural expectation-maximization algorithm
49: (2017)
Hybrid mutual information
50: (2017)
Machine Learning-based CPS for clustering high throughput machine cycle conditions
51: (2017)
Polynomial representations of Bayesian network classifiers
52: (2018)
A fast Metropolis-Hastings method for generating random correlation matrices
53: (2018)
A partial orthogonalization method for simulating covariance and concentration graph matrices
54: (2018)
Asymmetric Hidden Markov Models with Continuous Variables (SPRINGER)
55: (2018)
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks
56: (2018)
Bounding the Complexity of Structural Expectation-Maximization
57: (2018)
Discrete model-based clustering with overlapping subsets of attributes
58: (2018)
Learning Bayesian network classifiers with completed partially directed acyclic graphs
59: (2018)
Multi-dimensional Bayesian network classifier trees
60: (2019)
Multivariate comparison of human and mouse pyramidal cell dendritic morphologies
61: (2019)
Using Bayesian Networks to learn Gene Regulatory Networks
Explotación de Resultados y Transferencia de Tecnología
3 Patentes
1: (2012)
Test predictor de supervivencia global de adenocarcinoma de pulmón
2: (2013)
Test predictor de supervivencia global de adenocarcinoma del pulmón
3: (2013)
Test predictor de supervivencia global de adenocarcinoma del pulmón
3 Registros de Software
1: (2017)
Software for analyzing optimal neuronal wiring
2: (2017)
Voltric. Una libreria de software libre para realizar clustering con redes Bayesianas
3: (2017)
3DBasalRM and 3DSpineMC
• TOMA DE DATOS DE MEMORIAS Y CV
• UPM.ES
S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)
