Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Pedro Maria Larrañaga Mugica
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
CC. DE COMPUTACION E INTELIGENCIA ARTIFICIAL
Grupo de Investigación:
Computational Intelligence Group
Email (Directorio UPM)
pedro.larranaga
upm.es
Teléfono (Directorio UPM)
910672896
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
75 Proyectos de I+D+i
1: (2007)
Inteligencia Computacional mediante redes Bayesianas, redes Gaussianas y Aproximaciones de Kikuchi
2: (2007)
Multimodial Interaction in Pattern Recognition and Computer Vision CONSOLIDER CSD2007-000/8
3: (2008)
Cajal Blue Brain
4: (2008)
MODELOS GRAFICOS PROBABILISTICOS PARA CLASIFICADORES MULTIDIMENSIONALES CON APLICACIONES EN VISION POR COMPUTADOR
5: (2010)
ADAPTACIÓN DINÁMICA DEL CAMBIO EN SISTEMAS DE APRENDIZAJE
6: (2010)
CAJAL BLUE BRAIN PROJECT
7: (2010)
COMPUTACIÓN EVOLUTIVA.
8: (2010)
CONSOLIDEr INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
9: (2010)
CONSORCIO CENIT MIO TECNOLOGÍAS PARA PRESTAR SERVICIOS EN MOVILIDAD EN EL FUTURO INTELIGENTE.
10: (2010)
DYNAMO
11: (2010)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
12: (2010)
MODELOS GRAFICOS PROBABILISTICOS PARA CLASIFICADORES MULTIDIMENSIONALES CON APLICACIONES EN VISION POR COMPUTADOR
13: (2010)
PLATAFORMA DE COMPUTACION INTELIGENTE PARA UN LABORATORIO BIOMEDICO VIRTUAL PARA EL SEGUIMIENTO E INVESTIGACION DE LA ENFERMEDAD DE ALZHEIMER
14: (2010)
REALIZACIÓN DEL TRABAJO DE MINERIA DE DATOS Y GEOMARKETING SOBRE DATOS FINANCIEROS BANCARIOS.
15: (2011)
Cajal Blue Brain
16: (2011)
CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
17: (2011)
DYNAMO
18: (2011)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
19: (2011)
PROBABILISTIC MAPPING PDQ-39/PDQ-8 TO EQ-5D
20: (2012)
CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
21: (2012)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
22: (2012)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
23: (2012)
Red Española de Minería de Datos y Aprendizaje
24: (2012)
Red Temática Española para el Avance y la Transferencia de la Inteligencia Computacional Aplicada (ATICA)
25: (2013)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
26: (2013)
HBP - Human Brain Project
27: (2013)
HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
28: (2013)
HBP: The Human Brain Project HBP
29: (2013)
MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UPM
30: (2014)
APRENDIZAJE DE REDES BAYESIANAS CON VARIABLES SIN Y CON DIRECCIONALIDAD PARA DESCUBRIMIENTO DE ASOCIACIONES PREDICCIÓN MULTIRESPUESTA Y CLUSTERING
31: (2014)
Conceptos y Aplicaciones de los Sistemas Inteligentes
32: (2014)
CONSOLIDER INGENIO 2010-MULTIMODAL INTERACTION IN PATTERN RECOGNITION AND COMPUTER VISION
33: (2014)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
34: (2014)
HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
35: (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
36: (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
37: (2015)
CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES (CASI-CAM)
38: (2015)
CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES (CASI-CAM)
39: (2015)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
40: (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
41: (2015)
HBP. HUMAN BRAIN PROJECT. SUBPROYECTO NEURONAL STRUCTURAL DESIGN
42: (2015)
Mixed-BN: Aprendizaje de redes Bayesianas con variables sin y con direccionalidad para descubrimiento de asociaciones, predicción multirespuesta y clustering
43: (2016)
: Multi‐view clustering with Bayesian networks
44: (2016)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
45: (2016)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
46: (2016)
CONVENIO DE COLABORACIÓN PARA LA EJECUCIÓN DEL PROYECTO BLUE BRAIN
47: (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
48: (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
49: (2016)
HBP SGA1: Human Brain Project Specific Grant Agreement 1
50: (2016)
HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
51: (2016)
MILANO-BAYES: Avances en clasificación MultidImensionaL y detección de ANOmalías con redes BAYESianas
52: (2016)
PROGRAMA INFORMÁTICO DE PREDICCIÓN Y ANÁLISIS EN EL ÁMBITO DEPORTIVO UTILIZANDO INTELIGENCIA ARTIFICIAL
53: (2017)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES.
54: (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
55: (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
56: (2017)
GESTIÓN ENERGÉTICA AVANZADA PARA MÁQUINA HERRAMIENTA DE NUEVA GENERACION (EMON)
57: (2017)
PROGRAMA INFORMÁTICO DE PREDICCIÓN Y ANÁLISIS EN EL ÁMBITO DEPORTIVO UTILIZANDO INTELIGENCIA ARTIFICIAL
58: (2018)
CIG. CONCEPTOS Y APLICACIONES DE LOS SISTEMAS INTELIGENTES
59: (2018)
CONVENIO DE COLABORACION PARA LA EJECUCION DEL PROYECTO BLUE BRAIN
60: (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
61: (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
62: (2018)
HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
63: (2018)
HUMAN BRAIN PROJECT SPECIFIC GRANT AGREEMENT 1
64: (2018)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
65: (2018)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
66: (2018)
INVESTIGACIÓN EN SISTEMAS CIBER-FÍSICOS PARA LA DETECCIÓN DE ANOMALÍAS MEDIANTE MODELOS PROBABILÍSITOCS DINÁMICOS EN NUEVOS PROCESOS DE TRATAMIENTO TÉRMICO MEDIAMBIENTALMENTE SOSTENIBLES (TERMPROB)
67: (2018)
MULTI-VIEW CLUSTERING WITH BAYESUAN NETWORKS
68: (2018)
NUEVA INFRAESTRUCTURA IOT INDUSTRIAL PARA LA FÁBRICA QUE APRENDE (LEARNIIOT)
69: (2018)
PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
70: (2019)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
71: (2019)
HUMAN BRAIN PROJECT SPECIFIC SGA2 (SGA Nº. 785907)
72: (2019)
IA REDES BAYESIANAS
73: (2019)
IT BASKET
74: (2019)
NUEVA INFRAESTRUCTURA IOT INDUSTRIAL PARA LA FÁBRICA QUE APRENDE (LEARNIIOT)
75: (2019)
PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
Formación de Investigadores y Movilidad
1 Estancias y sabáticos recogidos en programas oficiales
1: (2017)
Estancia en el Imprecise Probability Group del Dalle Molle Institute for Artificial Intelligence (IDSIA) en la Scuola Universitaria Professionale della Svizzera italiana.
33 Tesis Doctorales
1: (2010)
Avances en Algoritmos de Estimación de Distribuciones. Alternativas en el Aprendizaje y Representación de Problemas
2: (2010)
Supervised classification in continuous domains with Bayesian networks
3: (2012)
Regularization for sparsity in statistical analysis and machine learning
4: (2012)
Replicated Spatial Point Processes for Statistical 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)
Learning interpretable Gene Regulatory Networks via merging Bayesian networks. Autor: Nikolas Bernaola Alvarez.
32: (2019)
Learning Tractable Bayesian Networks. Autor: Marco Benjumeda Barquita.
33: (2019)
Visualization and interpretation in large Bayesian networks. Autor: Sergio Paniego Blanco.
Difusión de Resultados de Investigación
183 Artículos en revistas
1: (2007)
A review of feature selection techniques in bioinformatics
2: (2007)
Learning Bayesian classifiers from positive and unlabeled examples
3: (2007)
Side chain placement using estimation of distribution algorithms
4: (2008)
A review of estimation of distribution algorithms in bioinformatics
5: (2008)
Optimizing Logistic Regression Coefficients for Discrimination and Calibration Using Estimation of Distribution Algorithms
6: (2009)
Data Mining Validation of Fluconazole Breakpoints Established by the European Committee on Antimicrobial Susceptibility Testing
7: (2009)
Estimation of Distribution Algorithms as Logistic Regression Regularizers of Microarray Classifiers
8: (2009)
Predicting citation count of Bioinformatics papers within four years of publication
9: (2010)
Comparison between supervised and unsupervised classifications of neuronal cell types: a case study
10: (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)
11: (2010)
Learning an L1-Regularized Gaussian Bayesian Network in the Equivalence Class Space
12: (2010)
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
13: (2010)
Mateda-2.0: Estimation of Distribution Algorithms in MATLAB
14: (2010)
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
15: (2010)
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables
16: (2011)
Classifying evolving data streams with partially labeled data
17: (2011)
Comparison Between Supervised and Unsupervised Classifications of Neuronal Cell Types: A Case Study
18: (2011)
Comparison of metaheuristics strategies for peakbin selection in proteomic mass spectrometry data
19: (2011)
Forward Stagewise Naive Bayes
20: (2011)
Lazy Lasso for local regression
21: (2011)
Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks
22: (2011)
Multi-dimensional classification with Bayesian networks
23: (2011)
On nonlinearity in neural encoding models applied to the primary visual cortex
24: (2011)
On nonlinearity in neural encoding models applied to the primary visual cortex
25: (2011)
Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms
26: (2011)
Optimizing Brain Networks Topologies Using Multi-objective Evolutionary Computation
27: (2011)
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms
28: (2011)
Probabilistic graphical models in artificial intelligence
29: (2011)
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data
30: (2011)
Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals
31: (2012)
A comparison of clustering quality indices using outliers and noise
32: (2012)
A new feature extraction method for signal classification applied to cat spinal cord signals
33: (2012)
A review on probabilistic graphical models in evolutionary computation
34: (2012)
A review on probabilistic graphical models in evolutionary computation,
35: (2012)
Alan Turing and Bayesian Statistics
36: (2012)
Alan Turing y la Neurociencia
37: (2012)
Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models
38: (2012)
Ensemble transcript interaction networks: A case study on Alzheimer's disease
39: (2012)
Forward Stagewise Naive Bayes
40: (2012)
Identification of a biomarker panel for colorectal cancer diagnosis
41: (2012)
Identification of a biomarker panel for colorectal cancer diagnosis
42: (2012)
Lazy lasso for local regression
43: (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)
44: (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)
45: (2012)
Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes
46: (2012)
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
47: (2012)
Regularized logistic regression and multi-objective variable selection for classifying MEG data
48: (2012)
Relationship among research collaboration, number of documents and number of citations. A case study in Spanish computer science production in 2000-2009
49: (2013)
A new measure for gene expression biclustering based on non-parametric correlation
50: (2013)
A review on evolutionary algorithms in Bayesian network learning and inference tasks
51: (2013)
A review on evolutionary algorithms in Bayesian network learning and inference tasks
52: (2013)
A Survey of L-1 Regression
53: (2013)
A Survey of L1- Regression
54: (2013)
AN L-1-REGULARIZED NAIVE BAYES-INSPIRED CLASSIFIER FOR DISCARDING REDUNDANT AND IRRELEVANT PREDICTORS
55: (2013)
Analysis of scientific activity in Spanish public universities in the area of computer science
56: (2013)
Augmented Semi-naive Bayes Classifier
57: (2013)
Bayesian network modeling of the consensus between experts: An application to neuron classification
58: (2013)
Bayesian network modeling of the consensus between experts: An application to neuron classification
59: (2013)
Bayesian Sparse Partial Least Squares
60: (2013)
Classification of neocortical interneurons using affinity propagation
61: (2013)
Classification of neural signals from sparse autoregressive features
62: (2013)
Cluster methods for assessing research performance: exploring Spanish computer science
63: (2013)
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
64: (2013)
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
65: (2013)
Directional naive Bayes classifiers
66: (2013)
Directional naive Bayes classifiers
67: (2013)
Learning Conditional Linear Gaussian Classifiers with Probabilistic Class Labels
68: (2013)
Learning Mixtures of Polynomials of Conditional Densities from Data
69: (2013)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
70: (2013)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
71: (2013)
Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery
72: (2013)
Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery
73: (2013)
Multi-objective estimation of distribution algorithm based on joint modeling of objectives and variables
74: (2013)
Network measures for information extraction in evolutionary algorithms
75: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
76: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
77: (2013)
New insights into the classification and nomenclature of cortical GABAergic interneurons
78: (2013)
Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables
79: (2013)
Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables
80: (2013)
Predicting dementia development in Parkinson's disease using Bayesian network classifiers
81: (2013)
Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
82: (2013)
Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
83: (2013)
Regularized continuous estimation of distribution algorithms
84: (2013)
Regularized continuous estimation of distribution algorithms
85: (2013)
Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000-2009
86: (2013)
Sparse regularized local regression
87: (2013)
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
88: (2014)
Bayesian network modeling of the consensus between experts: An application to neuron classification
89: (2014)
Bayesian networks in neuroscience: a survey
90: (2014)
Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas
91: (2014)
Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas
92: (2014)
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
93: (2014)
Conditional density approximations with mixtures of polynomials
94: (2014)
Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals
95: (2014)
Discrete Bayesian Network Classifiers: A Survey
96: (2014)
Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification
97: (2014)
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
98: (2014)
Interval-based ranking in noisy evolutionary multiobjective optimization
99: (2014)
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation
100: (2014)
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
101: (2014)
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty
102: (2014)
Multi-Dimensional Classification with Super-Classes
103: (2014)
Multi-label classification with Bayesian network-based chain classifiers
104: (2014)
Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables
105: (2014)
Random positioning of dendritic spines in the human cerebral cortex
106: (2014)
Random positioning of dendritic spines in the human cerebral cortex
107: (2014)
Random Positions of Dendritic Spines in Human Cerebral Cortex
108: (2014)
Semi-supervised projected model-based clustering
109: (2014)
Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
110: (2014)
Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis
111: (2014)
Three-Dimensional Spatial Distribution of Synapses in the Neocortex: A Dual-Beam Electron Microscopy Study
112: (2015)
A survey on multi-output regression
113: (2015)
A univocal definition of the neuronal soma morphology using Gaussian mixture models
114: (2015)
Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons
115: (2015)
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
116: (2015)
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
117: (2015)
Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
118: (2015)
Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
119: (2015)
Conditional Density Approximations with Mixtures of Polynomials
120: (2015)
Conditional Density Approximations with Mixtures of Polynomials
121: (2015)
Conditional Density Approximations with Mixtures of Polynomials
122: (2015)
Decision Boundary for Discrete Bayesian Network Classifiers
123: (2015)
Decision functions for chain classifiers based on Bayesian networks for multi-label classification
124: (2015)
Directional naive Bayes classifiers
125: (2015)
Directional naive Bayes classifiers
126: (2015)
Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data
127: (2015)
Discretization of Expression Quantitative Trait Loci in Association Analysis Between Genotypes and Expression Data
128: (2015)
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
129: (2015)
Interval-based ranking in noisy evolutionary multi-objective optimization
130: (2015)
Learning Bayesian networks with low inference complexity
131: (2015)
Regularized Multivariate von Mises Distribution
132: (2015)
The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer's disease
133: (2015)
The Vallecas Project: a cohort to identify early markers and mechanisms of Alzheimer's disease
134: (2015)
Towards Gaussian Bayesian Network Fusion
135: (2016)
Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot
136: (2016)
Data Publications Correlate with Citation Impact
137: (2016)
Decision functions for chain classifiers based on Bayesian networks for multi-label classification
138: (2016)
Dendritic and Axonal Wiring Optimization of Cortical GABAergic Interneurons
139: (2016)
Dendritic and axonal wiring optimization of cortical GABAergic interneurons
140: (2016)
Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex
141: (2016)
Dendritic-branching angles of pyramidal neurons of the human cerebral cortex
142: (2016)
Frobenius norm regularization for the multivariate von Misses distribution
143: (2016)
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices
144: (2016)
Hybrid Gaussian and von Mises Model-Based Clustering
145: (2016)
Laminar Differences in Dendritic Structure of Pyramidal Neurons in the Juvenile Rat Somatosensory Cortex
146: (2016)
Learning Bayesian networks with low inference complexity
147: (2016)
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
148: (2016)
Tree-Structured Bayesian Networks for Wrapped Cauchy Directional Distributions
149: (2016)
Wiring Economy of Pyramidal Cells in the Juvenile Rat Somatosensory Cortex
150: (2016)
Wiring economy of pyramidal cells in the juvenile rat somatosensory cortex
151: (2017)
Architecture for anomaly detection in a laser heating surface process
152: (2017)
Dendritic-branching angles of pyramidal neurons of the human cerebral cortex
153: (2017)
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
154: (2017)
Frobenius Norm Regularization for the Multivariate Von Mises Distribution
155: (2017)
Machine Learning-based CPS for clustering high throughput machine cycle conditions
156: (2017)
Machine learning-based CPS for clustering high throughput machining cycle conditions
157: (2017)
Network design through forests with degree- and role- constrained minimum spanning trees
158: (2017)
Network design through forests with degree- and role-constrained minimum spanning trees
159: (2017)
Parkinson's Disease Subtypes Identified from Cluster Analysis of Moto rand Non-motor Symptoms
160: (2017)
Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons
161: (2017)
Univariate and bivariate truncated von Mises distributions
162: (2018)
A regularity index for dendrites - local statistics of a neuron's input space
163: (2018)
Asymmetric Hidden Markov Models with Continuous Variables
164: (2018)
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
165: (2018)
bnclassify: Learning Bayesian Network Classifiers
166: (2018)
Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes
167: (2018)
Clustering of Data Streams with Dynamic Gaussian Mixture Models. An IoT Application in Industrial Processes
168: (2018)
MultiMap: A Tool to Automatically Extract and Analyse Spatial Microscopic Data From Large Stacks of Confocal Microscopy Images
169: (2018)
Patterns of dendritic basal field orientation of pyramidal neurons in the rat somatosensory cortex
170: (2018)
Towards a supervised classification of neocortical interneuron morphologies
171: (2018)
Tractability of most probable explanations in multidimensional Bayesian network classifiers
172: (2018)
3D morphology-based clustering and simulation of human pyramidal cell dendritic spines
173: (2019)
A circular-linear dependence measure under Johnson?Wehrly distributions and its application in Bayesian networks. Autor: Ignacio Leguey.
174: (2019)
A Directional-Linear Bayesian Network and Its Application for Clustering and Simulation of Neural Somas
175: (2019)
A directional-linear Bayesian network and its application for clustering and simulation of neural somas
176: (2019)
Circular Bayesian classifiers using wrapped Cauchy distributions
177: (2019)
Classification of GABAergic interneurons by leading neuroscientists
178: (2019)
Learning Bayesian networks with low inference complexity
179: (2019)
Learning tractable Bayesian networks in the space of elimination orders
180: (2019)
Random Forests for Regression as a Weighted Sum of k-Potential Nearest Neighbors
181: (2019)
Tractable learning of Bayesian networks from partially observed data
182: (2019)
Tractable learning of Bayesian networks from partially observed data
183: (2019)
Tractable learning of Bayesian networks from partially observed data
17 Capítulos de libros
1: (2007)
A partially supervised approach to dominant and recessive human disease gene prediction
2: (2007)
Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains
3: (2007)
Side chain placement using estimation of distribution algorithms
4: (2007)
The role of a priori information in the minimization of contact potentials by means of estimation of distribution algorithms
5: (2007)
Wrapper discretization by means of estimation of distribution algorithms
6: (2009)
Probabilistic Graphical Markov Model Learning: An Adaptive Strategy
7: (2012)
Continuous Estimation of Distribution Algorithms Based on Factorized Gaussian Markov Networks
8: (2013)
Augmented semi-Naive Bayes classifier
9: (2013)
Learning conditional linear Gaussian classifiers with probabilistic class labels
10: (2013)
Learning mixtures of polynomials of conditional densities from data
11: (2013)
Semi-supervised projected clustering for classifying GABAergic interneurons
12: (2013)
Semi-supervised projected clustering for classifying GABAergic interneurons
13: (2014)
Concise Encyclopaedia of Bioinformatics and Computational Biology, 28 Entries
14: (2015)
Regularized Multivariate von Mises Distribution
15: (2015)
Towards Gaussian Bayesian network fusion
16: (2016)
Tree-structured Bayesian networks for wrapped Cauchy directional distributions
17: (2017)
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
12 Conferencias invitadas en congresos
1: (2007)
Algoritmos de Estimación de Distribuciones
2: (2007)
Inteligencia Computacional y Resolución de Problemas Industriales
3: (2010)
Bayesian Networks and Evolutionary Computation
4: (2010)
Classification of MEG data using a combined machine learning approach
5: (2010)
Data mining and optimization with probabilistic graphical models
6: (2010)
Probabilistic Graphical Models and Evolutionary Computation
7: (2012)
A Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation (EVOLVE) Mexico
8: (2012)
Bayesian Networks in Neuroscience
9: (2013)
Bayesian Networks to Answer Challenging Neuroscience Questions
10: (2013)
Conferencia Plenaria: Bayesian networks to answer challenging neuroscience questions
11: (2017)
Bayesian networks in neuroscience
12: (2019)
Global Innovation Day at the Week of Science
25 Cursos, seminarios y tutoriales
1: (2007)
Bayesian Networks
2: (2007)
Inteligencia Computacional
3: (2007)
Inteligencia Computacional y Resolución de Problemas Industriales
4: (2007)
Pattern Recognition
5: (2007)
Soft Computing: Perspectivas de Investigación en España
6: (2008)
Análisis de Datos con Excel
7: (2008)
Análisis de Datos con Excel
8: (2010)
Computational Modelling in Neuroscience. Experiences in the Cajal Blue Brain Project
9: (2012)
Advanced Statistics and Data Mining Summer-school
10: (2012)
Bayesian Networks in Neuroanatomy and Neurodegenerative Diseases
11: (2012)
Computational Intelligence (Algorithms) within the Master in Bioinformatics and Computational Biology.
12: (2012)
Inteligencia Artificial en Neurociencia
13: (2013)
Advanced Statistics and Data Mining Summer School
14: (2013)
Bayesian Networks in Computational Neuroscience
15: (2014)
Advanced Statistics and Data Mining Summer School
16: (2014)
Data Mining for Efficient Recommendations and Predictions
17: (2014)
Ingeniería de datos: una visión introductoria
18: (2015)
Advanced Statistics and Data Mining Summer School 2015
19: (2017)
The algebra of generative classifiers
20: (2017)
A Bayesian network for linear-circular data
21: (2017)
Directional-linear data clustering using structural expectation-maximization algorithm
22: (2017)
Hybrid mutual information
23: (2017)
Machine Learning-based CPS for clustering high throughput machine cycle conditions
24: (2017)
The algebra of generative classifiers
25: (2018)
Madrid UPM Advanced Statistics and Data Mining Summer School
62 Informes para las AAPP o sus organismos dependientes
1: (2007)
Informe de la actividad en Tecnologías de la Información en España durante el año 2006
2: (2010)
Evaluación de las ayudas ICREA Academia
3: (2010)
Evaluación de Proyectos de Investigación Agencia Andaluza de Evaluación de la Calidad y Acreditación Universitaria
4: (2011)
Evaluación de Proyectos de Investigación Agencia Andaluza de Evaluación de la Calidad y Acreditación Universitaria
5: (2012)
Pertenencia a comités de programa de congresos internacionales: BMAW 2012 , the 9th Bayesian Modelling Applications Workshop
6: (2012)
Pertenencia a comités de programa de congresos internacionales: First International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Algarve
7: (2012)
Pertenencia a comités de programa de congresos internacionales: Genetic and Evolutionary Conference (GECCO2012), Atlanta
8: (2012)
Pertenencia a comités de programa de congresos internacionales: IBERAMIA 2012 - 13th Ibero-American Conference on Artificial Intelligence
9: (2012)
Pertenencia a comités de programa de congresos internacionales: IEEE Word Congress on Computational Intelligence (WCCI2012), Brisbane
10: (2012)
Pertenencia a comités de programa de congresos internacionales: Prestigiuos Applications of Intelligent Systems in the European Conference on Artificial Intelligence (ECAI2012), Montpellier
11: (2012)
Pertenencia a comités de programa de congresos internacionales: Sixth European Workshop on Probabilistic Graphical Models (PGM'12), Granada
12: (2012)
Pertenencia a comités de programa de congresos internacionales: 28th Conference on Uncertainty in Artificial Intelligence (UAI-2012), Catalina Island
13: (2012)
Pertenencia a comités evaluadores: Agencia Nacional de Evaluación y Prospectiva, Madrid
14: (2012)
Pertenencia a comités evaluadores: Council of Physical Sciences of NWO (Computer Science), Netherlands Organization for Scientific Research, La Haya
15: (2012)
Pertenencia a comités evaluadores: Fonds de la Recherche Scientifique - FNRS, agence de financement de la recherche pour la Belgique francophone, Bruselas
16: (2012)
Pertenencia a comités evaluadores: Fonds de la Recherche Scientifique, Paris
17: (2012)
Pertenencia a comités evaluadores: Fundacão para a Ciência e a Tecnologia, Lisboa
18: (2012)
Pertenencia a comités evaluadores: ICREA Academia, Barcelona
19: (2012)
Pertenencia a comités evaluadores: Swiss National Science Foundation, Berna
20: (2012)
Pertenencia a comités evaluadores: The Israel Science Foundation, Jerusalem
21: (2012)
Revisor de Artificial Intelligence in Medicine
22: (2012)
Revisor de Cerebral Cortex
23: (2012)
Revisor de Computational Statistics and Data Analysis
24: (2012)
Revisor de Computers in Biology and Medicine
25: (2012)
Revisor de Data Mining and Knowledge Discovery
26: (2012)
Revisor de IEEE Transactions on Knowledge and Data Engineering
27: (2012)
Revisor de Information Sciences
28: (2012)
Revisor de International Journal of Approximate Reasoning
29: (2012)
Revisor de Journal of Applied Mathematics
30: (2012)
Revisor de Journal of Biomedicine and Biotechnology
31: (2012)
Revisor de Pattern Recognition Letters
32: (2012)
Revisor de PLOS One
33: (2013)
Miembro de Comités Científicos. IEEE Congress on Evolutionary Computation (IEEE CEC-2013)
34: (2013)
Miembro de Comités Científicos. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2013)
35: (2013)
Miembro de Comités Científicos. 12th European Conference on Symbolic and Quantitative approaches to Reasoning with Uncertainty (ECSQARU-2013)
36: (2013)
Miembro de Comités Científicos. 2013 Genetic and Evolutionary Computation Conference (GECCO-2013)
37: (2013)
Miembro de Comités Científicos. 23rd International Joint Conference on Artificial Intelligence (IJCAI-13)
38: (2014)
Co-chair de la sesión "Estimation of Distribution Algorithms". 2014 Genetic and Evolutionary Computation Conference (GECCO-2014)
39: (2014)
Pertenencia a comités de programa de conferencias. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD)
40: (2014)
Pertenencia a comités de programa de conferencias. Seventh European Workshop on Probabilistic Graphical Models (PGM'14)
41: (2015)
Co-chair de Journal Track of european Conference on machine Learning and Principles and practice of Knowledge Discovery in Databases (ECML PKDD-2015)
42: (2015)
Comité Editorial. BioData Mining, BioMed Central
43: (2015)
Comité Editorial. Frontiers in Computational Neuroscience, Nature Frontiers
44: (2015)
Miembro de la Comisión de Evaluación de la Promoción de Profesores de Investigación
45: (2015)
Miembro de la Comisión de evaluación de los Contratos Postdoctorales Ramón y Cajal 2014
46: (2015)
Pertenencia a comités de programa de conferencias. European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2015)
47: (2015)
Pertenencia a comités de programa de conferencias. International Conference on Artificial Intelligence (IJCAI 2015)
48: (2015)
Pertenencia a comités de programa de conferencias. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA-2015)
49: (2015)
Pertenencia a comités de programa de conferencias. 15th Conference on Artificial Intelligence in Medicine (AIME 2015)
50: (2015)
Pertenencia a comités de programa de conferencias. 16th Simposio Argentino de Inteligencia Artificial (ASAI 2015)
51: (2015)
Pertenencia a comités de programa de conferencias. 2015 Genetic and Evolutionary Computation Conference (GECCO-2015). Estimation of Distribution Algorithms Track
52: (2015)
Pertenencia a comités de programa de conferencias. 3rd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO-2015)
53: (2015)
Revisor de revista JCR. BioData Mining
54: (2015)
Revisor de revista JCR. Comunication in Statistics Simulation and Computation
55: (2015)
Revisor de revista JCR. Data Mining and Knowledge Discovery
56: (2015)
Revisor de revista JCR. IEEE Neuronal Networks and Learning Systems
57: (2015)
Revisor de revista JCR. International Journal of Approximate Reasoning
58: (2015)
Revisor de revista JCR. Mathematical Problems in Engineering
59: (2015)
Revisor de revista JCR. Scientific World Journal
60: (2015)
Revisor de revista JCR. Symmetry
61: (2016)
Graphoids and separoids in model theory
62: (2017)
Multi-facet determination for clustering with Bayesians networks
2 Libros
1: (2011)
Productividad y visibilidad científica de los profesores funcionarios de las universidades públicas españolas en el área de tecnologías informáticas
2: (2018)
Industrial Applications of Machine Learning
15 Otras Publicaciones
1: (2011)
Restating Parkinson's disease severity indices by means of non-motor criteria
2: (2012)
Alan Turing y la Estadística Bayesiana
3: (2012)
An interval-based multi-objective approach to feature subset selection using joint modeling of objectives and variables
4: (2012)
Curso Bayesian Networks
5: (2012)
Curso Machine Learning
6: (2012)
Multi-objective Estimation of Distribution Algorithm based on joint modelling of objectives and variables
7: (2013)
Avances en el Pronóstico de la Cirugía de la Epilepsia
8: (2013)
Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm
9: (2013)
Changing conduction delays to maximize the number of polychronous groups with an estimation of distribution algorithm
10: (2013)
Desarrollan un Kit que Predice la Supervivencia al Cáncer de Pulmón
11: (2014)
Decision boundary for discrete Bayesian networks classifiers
12: (2014)
La Mente Artificial Aprende a Inventar
13: (2015)
Evolutionary computation of forests with Degree- and Role-Constrained Minimum Spanning Trees
14: (2015)
Los Ladridos Caracterizan a los Perros Igual que la Voz a las Personas
15: (2015)
Univariate and bivariate truncated von Mises distributions
60 Ponencia en Congresos
1: (2008)
Actas electrónicas del "Sparse Optimization and Variable Selection, ICML/UAI/COLT 2008 Workshop"
2: (2009)
Mining Probabilistic Models Learned by EDAs in the Optimization of Multi-Objective Problems
3: (2009)
Variable Selection in Local Regression Models via an Iterative LASSO
4: (2010)
Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms
5: (2010)
EDA-PSO: A Hybrid Paradigm Combining Estimation of Distribution Algorithms and Particle Swarm Optimization
6: (2010)
Learning CB-decomposable Multi-dimensional Bayesian Network Classifiers
7: (2010)
Mining concept-drifting data streams containing labeled and unlabeled instances
8: (2010)
Synergies between network-based representation and probabilistic graphical models for classification, inference and optimization problems in neurosciences
9: (2010)
Using probabilistic dependencies improves the search of conductance-based compartmental neuron models
10: (2011)
Affinity Propagation Enhanced by Estimation of Distribution Algorithms
11: (2011)
An Ensemble of Classifiers with Multiple Sources of Information for MEG Data
12: (2011)
Bayesian Chain Classifiers for Multidimensional Classification
13: (2011)
Learning multi-dimensional Bayesian network classifiers using Markov blankets: A case study in the prediction of HIV protease inhibitors
14: (2011)
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables
15: (2011)
Predicting the h-index with cost-sensitive naive Bayes
16: (2011)
Quantitative Genetics in Multi-Objective Optimization Algorithms: From Useful Insights to Effective Methods
17: (2011)
Regularized k-order Markov Models in EDAs
18: (2011)
The von Mises naïve Bayes classifier for angular data
19: (2012)
A Survey on Replicated Spatial Point Patterns with Case Study on Dendritic Spine Distribution in Pyramidal Neurons
20: (2012)
Identification of a biomarker panel for colorectal cancer diagnosis
21: (2012)
Learning mixtures of polynomials from data using B-spline interpolation
22: (2012)
Maximizing the number of polychronous groups in spiking networks
23: (2012)
Multi-Objective Optimization Approach to the Analysis of Inter-Subject and Inter-Session Variability in BCI Experiments
24: (2012)
Restating clinical impression of severity index for Parkinson's disease using just non-motor criteria
25: (2013)
Augmented Semi-naive Bayes Classifier
26: (2013)
BayesClass: An R package for learning Bayesian network classifiers
27: (2013)
Learning conditional linear Gaussian classifiers with probabilistic class labels
28: (2013)
Learning mixtures of polynomials of conditional densities from data
29: (2013)
Semi-supervised projected clustering for classifying GABAergic interneurons
30: (2013)
Spatial Analysis of Dendritic Spines Distribution with Bayesian Networks
31: (2013)
Spatial statistics in Neuroscience
32: (2013)
Towards optimal neuronal wiring through estimation of distribution algorithms
33: (2014)
Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-Label Classification
34: (2015)
Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control
35: (2015)
Learning low inference complexity Bayesian networks
36: (2015)
Multidimensional classifiers for neuroanatomical data
37: (2015)
Towards Gaussian Bayesian network fusion
38: (2016)
Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot
39: (2016)
Bayesian Gaussian networks for multidimensional classification of morphologically characterized neurons in the NeuroMorpho repository
40: (2016)
Bayesian networks for neuroscience
41: (2016)
Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control
42: (2016)
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment
43: (2016)
Hybrid Gaussian and von Mises model-based clustering
44: (2016)
Learning tractable multidimensional Bayesian network classifiers
45: (2017)
A Bayesian network model for linear circular data
46: (2017)
Architecture for anomaly detection in a laser heating surface process
47: (2017)
Directional-linear data clustering using structural expectation-maximization algorithm
48: (2017)
Hybrid mutual information
49: (2017)
Machine Learning-based CPS for clustering high throughput machine cycle conditions
50: (2017)
Polynomial representations of Bayesian network classifiers
51: (2018)
A fast Metropolis-Hastings method for generating random correlation matrices
52: (2018)
A partial orthogonalization method for simulating covariance and concentration graph matrices
53: (2018)
Asymmetric Hidden Markov Models with Continuous Variables (SPRINGER)
54: (2018)
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks
55: (2018)
Bounding the Complexity of Structural Expectation-Maximization
56: (2018)
Discrete model-based clustering with overlapping subsets of attributes
57: (2018)
Learning Bayesian network classifiers with completed partially directed acyclic graphs
58: (2018)
Multi-dimensional Bayesian network classifier trees
59: (2019)
Multivariate comparison of human and mouse pyramidal cell dendritic morphologies
60: (2019)
Using Bayesian Networks to learn Gene Regulatory Networks
Explotación de Resultados y Transferencia de Tecnología
4 Patentes
1: (2010)
Methods and kits for the diagnosis and the staging of colorectal cancer
2: (2012)
Test predictor de supervivencia global de adenocarcinoma de pulmón
3: (2013)
Test predictor de supervivencia global de adenocarcinoma del pulmón
4: (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)
