Bielza Lozoya, Maria Concepcion c.bielza@upm.es
Actividades
- Artículos 170
- Libros 3
- Capítulos de libro 22
- Congresos 88
- Documentos de trabajo 0
- Informes técnicos 0
- Proyectos de investigación 32
- Tesis dirigidas 23
- Patentes o licencias de software 2
Discrete Bayesian Network Classifiers: A Survey
- Bielza, C
- Larrañaga, P
Acm Computing Surveys - 1/1/2014
- ISSN 03600300
A Review of Estimation of Distribution Algorithms and Markov Networks
- Karshenas, H
- Santana, R
- Bielza, C
- Larrañaga, P
Adaptation, Learning, And Optimization (p. 21-37) - 1/1/2012
10.1007/978-3-642-28900-2 Ver en origen
- ISSN 18674534
Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking
- Larrañaga, A
- Bielza, C
- Pongrácz, P
- Faragó, T
- Bálint, A
- Larrañaga, P
Animal Cognition (p. 405-421) - 1/3/2015
10.1007/s10071-014-0811-7 Ver en origen
- ISSN 14359448
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)
- Cuesta, I
- Bielza, C
- Cuenca-Estrella, M
- Larrañaga, P
- Rodríguez-Tudela, JL
Antimicrobial Agents And Chemotherapy (p. 1541-1546) - 1/4/2010
10.1128/aac.01688-09 Ver en origen
- ISSN 00664804
Data mining validation of fluconazole breakpoints established by the European Committee on Antimicrobial Susceptibility Testing
- Cuesta, I
- Bielza, C
- Larrañaga, P
- Cuenca-Estrella, M
- Laguna, F
- Rodriguez-Pardo, D
- Almirante, B
- Pahissa, A
- Rodríguez-Tudela, JL
Antimicrobial Agents And Chemotherapy (p. 2949-2954) - 1/7/2009
10.1128/aac.00081-09 Ver en origen
- ISSN 00664804
Regularized continuous estimation of distribution algorithms
- Karshenas, H
- Santana, R
- Bielza, C
- Larrañaga, P
Applied Soft Computing (p. 2412-2432) - 1/1/2013
10.1016/j.asoc.2012.11.049 Ver en origen
- ISSN 15684946
Learning tractable Bayesian networks in the space of elimination orders
- Benjumeda, M
- Bielza, C
- Larrañaga, P
Artificial Intelligence (p. 66-90) - 1/9/2019
10.1016/j.artint.2018.11.007 Ver en origen
- ISSN 00043702
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach
- Armañanzas, R
- Bielza, C
- Chaudhuri, KR
- Martinez-Martin, P
- Larrañaga, P
Artificial Intelligence In Medicine (p. 195-202) - 1/7/2013
10.1016/j.artmed.2013.04.002 Ver en origen
- ISSN 09333657
Classifying GABAergic interneurons with semi-supervised projected model-based clustering
- Mihaljevic, B
- Benavides-Piccione, R
- Guerra, L
- DeFelipe, J
- Larrañaga, P
- Bielza, C
Artificial Intelligence In Medicine (p. 49-59) - 1/9/2015
10.1016/j.artmed.2014.12.010 Ver en origen
- ISSN 09333657
Predicting human immunodeficiency virus inhibitors using multi-dimensional. Bayesian network classifiers
- Borchani, H
- Bielza, C
- Toro, C
- Larrañaga, P
Artificial Intelligence In Medicine (p. 219-229) - 1/3/2013
10.1016/j.artmed.2012.12.005 Ver en origen
- ISSN 09333657
Data-Driven Computational Neuroscience
- Bielza, C
- Larranaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 1-689) - 1/1/2021
- iMarina
Productividad y visibilidad científica de los profesores funcionarios de las universidades públicas españolas en el área de tecnologías informáticas
- Alfonso Ibáñez
- Concha Bielza Lozoya
- Pedro Larrañaga Múgica
1/1/2011
- ISBN 9788415302056
- iMarina
The von Mises Naive Bayes Classifierfor Angular Data
- Pedro Luis López Cruz
- Concha Bielza Lozoya
- Pedro Larrañaga Múgica
Advances In Artificial Intelligence: 14th Conference Of The Spanish Association For Artificial Intelligence, Caepia 2011, La Laguna, Spain, November 7-11 (p. 145-154) - 1/1/2011
- iMarina
Computational Neuroscience
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 3-49) - 1/1/2021
- iMarina
Bayesian Networks
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 489-546) - 1/1/2021
- iMarina
Data-Driven Computational Neuroscience Preface
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. XI-+) - 1/1/2021
- iMarina
Probability Theory and Random Variables
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 96-140) - 1/1/2021
- iMarina
Non-probabilistic Clustering
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 437-468) - 1/1/2021
- iMarina
Probabilistic Classifiers
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 320-386) - 1/1/2021
- iMarina
Non-probabilistic Classifiers
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 262-319) - 1/1/2021
- iMarina
Probabilistic Inference
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 141-197) - 1/1/2021
- iMarina
Quantitative genetics in multi-objective optimization algorithms: From useful insights to effective methods
- Santana R
- Karshenas H
- Bielza C
- Larrãaga P
13th Annual Genetic And Evolutionary Computation Conference, Gecco'11 (p. 91-92) - 26/8/2011
10.1145/2001858.2001911 Ver en origen
- ISSN 9781450306904
- iMarina
- iMarina
Spatial statistics in Neuroscience
- ANTON SANCHEZ, LAURA
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
14th Conference On Artificial Intelligence In Medicine (p. 45-53) - 29/5/2013
- iMarina
Spatial Analysis of Dendritic Spines Distribution with Bayesian Networks
- ANTON SANCHEZ, LAURA
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
14th Conference On Artificial Intelligence In Medicine (p. 45-53) - 29/5/2013
- iMarina
Semi-supervised projected clustering for classifying GABAergic interneurons
- Guerra L
- Benavides-Piccione R
- Bielza C
- Robles V
- DeFelipe J
- Larrañaga P
14th Conference On Artificial Intelligence In Medicine, Aime 2013 murcia, Spain, May/June 2013 proceedings (p. 156-168) - 29/5/2013
10.1007/978-3-642-38326-7_24 Ver en origen
- ISSN 03029743
- iMarina
- iMarina
Bivariate empirical and n-variate Archimedean copulas in Estimation of Distribution Algorithms
- Cuesta-Infante, A
- Santana, R
- Hidalgo, JI
- Bielza, C
- Larrañaga, P
2010 Ieee Congress On Evolutionary Computation (Cec) (p. 1-8) - 1/12/2010
10.1109/cec.2010.5586557 Ver en origen
- iMarina
- iMarina
Predicting the h-index with cost-sensitive naive Bayes
- Ibáñez A
- Larrañaga P
- Bielza C
2011 11th International Conference On Intelligent Systems Design And Applications, Isda'11 (p. 599-604) - 1/12/2011
10.1109/isda.2011.6121721 Ver en origen
- ISSN 21647143
- iMarina
- iMarina
High-Dimensional Feature Characterization of Single Nucleotide Variants in Hypertrophic Cardiomyopathy
- Lozano D
- Bote L
- Bielza C
- Larranaga P
- Sabater M
- Gimeno JR
- Munoz S
- Gimeno FJ
- Rojo JL
2013 40th Computing In Cardiology Conference, Cinc 2013 - 1/1/2023
10.22489/cinc.2023.172 Ver en origen
- ISSN 23258861
Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem
- Soloviev, VP
- Bielza, C
- Larranaga, P
2021 Ieee Congress On Evolutionary Computation (Cec 2021) (p. 416-425) - 1/1/2021
Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms
- Soloviev VP
- Larranaga P
- Bielza C
2023 Ieee Congress On Evolutionary Computation, Cec 2023 - 1/1/2023
Architecture for anomaly detection in a laser heating surface process
- Mesonero, J
- Bielza, C
- Larrañaga, P
2nd Ieee International Conference On Emerging Technologies And Factory Automation (Etfa) (p. 38-39) - 12/9/2017
10.1109/etfa.2017.8247777 Ver en origen
- ISSN 19460740
- iMarina
- iMarina
Este/a investigador/a no tiene documentos de trabajo.
Este/a investigador/a no tiene informes técnicos.
Hub de Innovación Digital en Inteligencia Artificial y Robótica para los Objetivos de Desarrollo Sostenible
- LARRAÑAGA MUGICA, PEDRO MARIA (Participante)
- BIELZA LOZOYA, MARIA CONCEPCION (Participante)
- GARCIA CUESTA, ESTEBAN (Participante)
- VALLE FERNáNDEZ, ROBERTO (Participante)
- Molina González, Martín (Participante)
- MIHALJEVIC, BOJAN (Participante)
- FERRE GRAU, XAVIER (Participante)
- MOLINA FERNANDEZ, ANTONIO (Participante)
- Salgado Alvarez de Sotomayor, Luis (Participante)
- SENRA DIAZ, ARISTIDES (Participante)
- MARTINEZ SALLES, IVAN (Participante)
- AGUILERA BENITO, PATRICIA (Participante)
- CABEZAS TEJERO, ISMAEL (Participante)
- CUBEIRO ESPINOSA, BEATRIZ (Participante)
- BERMEJO NIETO, ANA BELEN (Participante)
- JIMENEZ MARTIN, ANTONIO (Participante)
- RODRIGUEZ DONCEL, VICTOR (Participante)
- Corcho García, Oscar (Participante)
- MATEOS CABALLERO, ALFONSO (Participante)
- MORENO DIAZ, ARMINDA (Participante)
- GARCIA ARES, BIENVENIDO (Participante)
- Amigo Rodríguez, Ana (Participante)
- MUÑOZ PORTA, DACIL ISABEL (Participante)
- FERRE PEREZ, MANUEL (Participante)
- MUÑOZ GUIJOSA, JUAN MANUEL (Participante)
- HUERTA CEPAS, JAIME (Participante)
- GONZALEZ BODI, SARA (Participante)
- BARRIENTOS CRUZ, ANTONIO (Participante)
- CERRO GINER, JAIME DEL (Participante)
- MARTINEZ GAMERO, ROBERTO (Participante)
- LUCAS DEL POZO, MIGUEL ANGEL (Participante)
- GOMEZ PEREZ, ASUNCION DE MARIA (Investigador principal (IP))
Ejecución: 29-11-2021 - 30-06-2023
- iMarina
Algoritmos de Estimación de Distribuciones en Aprendizaje Automático y Optimización
- Li NA, Carlos (Miembro del equipo de trabajo)
- Casajús NA, Jorge (Miembro del equipo de trabajo)
- FDEZ DEL POZO DE SALAMANCA, JUAN ANTONIO (Participante)
- MIHALJEVIC, BOJAN (Participante)
- VALERO LEAL, ENRIQUE (Miembro del equipo de trabajo)
- PÉREZ SOLOVIEV, VICENTE (Miembro del equipo de trabajo)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
- VILLA BLANCO, CARLOS (Miembro del equipo de trabajo)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Ejecución: 01-09-2023 - 31-08-2026
Tipo: Nacional
- iMarina
Multidimensional clustering with Bayesian networks
- BIELZA LOZOYA, MARIA CONCEPCION (Director)
- LARRAÑAGA MUGICA, PEDRO MARIA (Director) Doctorando: Rodríguez Sánchez, Fernando
1/1/2021
- iMarina
Unifying methodologies for graphical models with Gaussian parametrization
- Larrañaga Múgica, Pedro (Director)
- BIELZA LOYOLA, Concha (Director) Doctorando: Córdoba Sánchez, Irene
1/1/2020
- iMarina
Clustering probabilístico dinámico para la búsqueda de patrones de degradación de elementos de máquina en el ámbito del Industrie 4.0
- Pedro Larrañaga Múgica (Director)
- Concha Bielza Lozoya (Director) Doctorando: Javier Diaz Rozo
1/1/2019
- iMarina
Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience
- Pedro Larrañaga Múgica (Director)
- Concha Bielza Lozoya (Director) Doctorando: Pablo Fernández González
1/1/2019
- iMarina
Clustering based on Bayesian networks with Gaussian and angular predictors : applications in Neuroscience
- Concha Bielza Lozoya (Director)
- Pedro Larrañaga Múgica (Director) Doctorando: Sergio Luengo Sánchez
1/1/2019
- iMarina
Learning Tractable Bayesian Networks
- BIELZA LOZOYA, MARIA CONCEPCION (Director)
- LARRAÑAGA MUGICA, PEDRO MARIA (Director) Doctorando: BENJUMEDA BARQUITA, Marco
1/1/2019
- iMarina
Theoretical studies on Bayesian network classifiers
- Concha Bielza Lozoya (Director)
- Pedro Larrañaga Múgica (Director) Doctorando: Gherardo Varando
1/1/2018
- iMarina
Directional-linear Bayesian networks and applications in neuroscience
- Concha Bielza Lozoya (Director)
- Pedro Larrañaga Múgica (Director) Doctorando: Ignacio Leguey
1/1/2018
- iMarina
Contributions to Bayesian network classifiers and interneuron classification
- Concha Bielza Lozoya (Director)
- Pedro Larrañaga Múgica (Director) Doctorando: Bojan Mihaljevic
1/1/2018
- iMarina
SIMLIN 2.0. Software de simulación de daños en líneas de clasificación de frutas.
- Barreiro Elorza, Pilar (Inventores/autores/obtentores)
- RUIZ ALTISENT, Margarita (Inventores/autores/obtentores)
- Garcia, Francisco (Inventores/autores/obtentores)
- GARCÍA RAMOS, FRANCISCO JAVIER (Inventores/autores/obtentores)
- BIELZA LOZOYA, MARIA CONCEPCION (Inventores/autores/obtentores)
- Heradio, Ruben (Inventores/autores/obtentores)
- Pacios, Oscar (Inventores/autores/obtentores)
- Sixto Ríos, Jacinto Martín (Inventores/autores/obtentores)
26/3/2001
- iMarina
TEST PREDICTOR DE SUPERVIVENCIA GLOBAL DE ADENOCARCINOMA DE PULMON
- LARRAÑAGA MÚJICA, Pedro (Inventores/autores/obtentores)
- GARCIA ESCUDERO RAMON (Inventores/autores/obtentores)
- PARAMIO GONZALEZ JESUS MARIA (Inventores/autores/obtentores)
- LARRANAGA MUJICA PEDRO (Inventores/autores/obtentores)
- BIELZA LOZOYA CONCEPCION (Inventores/autores/obtentores)
5/11/2010
- iMarina
Grupos de investigación
-
Computational Intelligence Group
Rol: Miembro
Perfiles de investigador/a
-
ORCID
-
Publons
-
Scopus Author ID