Bielza Lozoya, Maria Concepcion c.bielza@upm.es
Publications
- Articles 170
- Books 3
- Book chapters 22
- Conferences 88
- Working papers 0
- Technical reports 0
- Research projects 32
- Supervised theses 23
- Patent or software license 2
Efficient search for relevance explanations using MAP-independence in Bayesian networks
- Valero-Leal, E
- Bielza, C
- Larrañaga, P
- Renooij, S
International Journal Of Approximate Reasoning - 1/9/2023
10.1016/j.ijar.2023.108965 View at source
- ISSN 0888613X
Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers
- Villa-Blanco, C
- Bregoli, A
- Bielza, C
- Larrañaga, P
- Stella, F
International Journal Of Approximate Reasoning - 1/8/2023
10.1016/j.ijar.2023.108945 View at source
- ISSN 0888613X
Causal reinforcement learning based on Bayesian networks applied to industrial settings
- Valverde, G
- Quesada, D
- Larrañaga, P
- Bielza, C
Engineering Applications Of Artificial Intelligence - 1/10/2023
10.1016/j.engappai.2023.106657 View at source
- ISSN 09521976
Quantum approximate optimization algorithm for Bayesian network structure learning
- Soloviev, VP
- Bielza, C
- Larrañaga, P
Quantum Information Processing - 1/1/2023
10.1007/s11128-022-03769-2 View at source
- ISSN 15700755
NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools
- Moreno-Rodríguez, JL
- Larrañaga, P
- Bielza, C
Frontiers In Neuroinformatics - 1/1/2023
10.3389/fninf.2023.1092967 View at source
- ISSN 16625196
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization
- Soloviev VP
- Bielza C
- Larranaga P
Ieee Transactions On Evolutionary Computation (p. 1-1) - 1/1/2023
10.1109/tevc.2023.3290670 View at source
- ISSN 1089778X
Feature subset selection for data and feature streams: a review
- Villa-Blanco, C
- Bielza, C
- Larrañaga, P
Artificial Intelligence Review (p. 1011-1062) - 1/1/2023
10.1007/s10462-023-10546-9 View at source
- ISSN 02692821
Estimation of Distribution Algorithms in Machine Learning: A Survey
- Larranaga P
- Bielza C
Ieee Transactions On Evolutionary Computation (p. 1-1) - 1/1/2023
10.1109/tevc.2023.3314105 View at source
- ISSN 1089778X
Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection
- Puerto-Santana, C
- Larrañaga, P
- Bielza, C
Neurocomputing - 1/1/2023
10.1016/j.neucom.2023.126641 View at source
- ISSN 09252312
Autoregressive Asymmetric Linear Gaussian Hidden Markov Models
- Puerto-Santana, C
- Larrañaga, P
- Bielza, C
Ieee Transactions On Pattern Analysis And Machine Intelligence (p. 4642-4658) - 1/9/2022
10.1109/tpami.2021.3068799 View at source
- ISSN 01628828
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
Exploratory Data Analysis
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 53-95) - 1/1/2021
- iMarina
Performance Evaluation
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 201-225) - 1/1/2021
- iMarina
Computational Neuroscience
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 3-49) - 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
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
Bayesian Networks
- Bielza, C
- Larrañaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 489-546) - 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
Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models
- Casajús-Setién, J
- Bielza, C
- Larrañaga, P
Proceedings Of The 2023 Ieee International Conference On Cyber Security And Resilience, Csr 2023 (p. 72-77) - 1/1/2023
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
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 View at source
- ISSN 23258861
An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs
- Puerto-Santana, C
- Larrañaga, P
- Diaz-Rozo, J
- Bielza, C
Advances In Intelligent Systems And Computing (p. 546-555) - 1/1/2022
10.1007/978-3-030-87869-6_52 View at source
- ISSN 21945357
Quantum parametric circuit optimization with estimation of distribution algorithms
- Soloviev, VP
- Larrañaga, P
- Bielza, C
Gecco 2022 Companion - Proceedings Of The 2022 Genetic And Evolutionary Computation Conference (p. 2247-2250) - 1/1/2022
Structure Learning Algorithms for Multidimensional Continuous-Time Bayesian Network Classifiers
- Villa-Blanco C
- Bregoli A
- Bielza C
- Larrañaga P
- Stella F
Critical Care Medicine (p. 313-324) - 1/1/2022
- ISSN 00903493
- iMarina
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection
- Casajús-Setién J
- Bielza C
- Larrañaga P
Critical Care Medicine (p. 397-408) - 1/1/2022
- ISSN 00903493
- iMarina
Extending MAP-independence for Bayesian network explainability
- E. Valero-Leal, P. Larrañaga, C. Bielza
Hmieai-2022 - 1/1/2022
- iMarina
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
- Valero-Leal E
- Larrañaga P
- Bielza C
Critical Care Medicine (p. 373-384) - 1/1/2022
- ISSN 00903493
- iMarina
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
This researcher has no working papers.
This researcher has no technical reports.
Human Brain Project Specific Grant Agreement 3
- ALONSO MARCO, ITZIAR (Participante)
- LIAPPAS, NIKOLAOS (Participante)
- ESTEVEZ PRIEGO, ESTEFANIA (Participante)
- MAESTU UNTURBE, CEFERINO (Participante)
- DA PONTE, AURELIANO (Participante)
- BELTRAN ALONSO, BLANCA (Participante)
- CABRERA UMPIERREZ, MARIA FERNANDA (Investigador principal (IP))
- GALLEGO GUTIERREZ, JAVIER (Participante)
- DURAN MENDOZA, TERIS (Participante)
- KIREEV, ROMAN (Participante)
- BERNAOLA ALVAREZ, NIKOLAS (Participante)
- FERNANDEZ MUÑOZ, ALEJANDRO (Participante)
- GONZALEZ VEIGA, LAURA (Participante)
- MERCHAN PEREZ, ANGEL (Participante)
- SÁNCHEZ PONCE, DIANA (Participante)
- TERIUS PADRON, JOSE GABRIEL (Participante)
- BELTRAN JAUNSARAS, MARIA EUGENIA (Participante)
- Simeoni, Ezequiel (Participante)
- GAETA, EUGENIO (Participante)
- FLORES ROMERO, PILAR (Participante)
- Velasco Martinez, Guillermo (Participante)
- MEZA VALDES, REBECA (Participante)
- TURÉGANO LÓPEZ, MARTA (Participante)
- Tapia González, Silvia (Participante)
- Arredondo Waldmeyer, Maria Teresa (Participante)
- LARRAÑAGA MUGICA, PEDRO MARIA (Participante)
- DURMAZ, TAYGUN BULUT (Participante)
- LEON SERRANO, GONZALO (Participante)
- DE FELIPE OROQUIETA, JAVIER (Investigador principal (IP))
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
- Strange, Bryan (Investigador principal (IP))
- Gasset Vazquez, Barbara (Participante)
Period: 01-04-2020 - 30-09-2023
Type of funding: International
Amount of funding: 1938601,17 Euros.
- iMarina
MadridDataSpace4Pandemics Inteligencia Artificial y tecnologías basadas en datos para la comprensión, detección, tratamiento y análisis de la COVID-19
- Conde Díaz, Javier (Participante)
- MUÑOZ ARCENTALES, JOSE ANDRES (Participante)
- Sundar Goswami, Subhra (Participante)
- TORRES INCHAURZA, IMANOL (Participante)
- ARIAS LONDOÑO, Julian David (Participante)
- GARCIA DELGADO, MIGUEL ANGEL (Participante)
- JIMENEZ MARTIN, ANTONIO (Participante)
- GALVAÑ SALA, DAVID AMARO (Participante)
- QUESADA LOPEZ, DAVID (Participante)
- GALOCHA DOMINGUEZ, LUIS (Participante)
- González Guardia, Esteban (Participante)
- ALCAZAR VALDARACETE, RAUL (Participante)
- Moreno Sánchez-Capuchino, Ana María (Participante)
- MIGUEL VELA, GONZALO C. DE (Participante)
- BIELZA LOZOYA, MARIA CONCEPCION (Participante)
- LARRAÑAGA MUGICA, PEDRO MARIA (Participante)
- DIAZ HONRUBIA, ANTONIO JESUS (Participante)
- ROBLES FORCADA, VICTOR (Participante)
- MENASALVAS RUIZ, ERNESTINA (Participante)
- LATORRE DE LA FUENTE, ANTONIO (Participante)
- MATEOS CABALLERO, ALFONSO (Participante)
- RODRIGUEZ GONZALEZ, ALEJANDRO (Participante)
- VIGUERAS GONZALEZ, GUILLERMO ANTONIO (Participante)
- BAJO PEREZ, JAVIER (Participante)
- ALONSO GONZALEZ, ALVARO (Participante)
- POZO HUERTAS, ALEJANDRO (Participante)
- BERNARDOS BARBOLLA, ANA MARIA (Investigador principal (IP))
- BERGESIO, LUCA (Participante)
- CAMPAÑA RAMOS, IVAN (Participante)
- Benac Earle, Clara (Participante)
- ALONSO DE APELLANIZ, PATRICIA (Participante)
- García Santos, Narciso (Participante)
- GUTIERREZ SANCHEZ, JESUS (Investigador principal (IP))
- LEDESMA CARBAYO, MARIA JESUS (Investigador principal (IP))
- HERRANZ NIEVA, ANGEL (Participante)
- Yelmo Garcia, Juan Carlos (Investigador principal (IP))
- MARTIN GARCIA, YOD SAMUEL (Participante)
- BARRA ARIAS, ENRIQUE (Participante)
- PAVON GOMEZ, SANTIAGO (Participante)
- ZAZO BELLO, SANTIAGO (Participante)
- BELMONTE HERNÁNDEZ, ALBERTO (Participante)
- CASAR CORREDERA, JOSE RAMON (Participante)
- TORRE OLIVA, ALEJANDRO DE LA (Participante)
- CORTES SANCHEZ, CARLOS (Participante)
- Muñoz Hernández, Susana (Participante)
- Díaz López, José Manuel (Participante)
- RODRIGUEZ VAZQUEZ, JOSE LUIS (Participante)
- PARRAS MORAL, JUAN (Investigador principal (IP))
- BESADA PORTAS, JUAN ALBERTO (Participante)
- CARRAMIÑANA JIMENEZ, DAVID (Participante)
- CABRERA QUESADA, JULIAN (Participante)
- ORDUNA CORTILLAS, MARTA (Participante)
- GODINO LLORENTE, JUAN IGNACIO (Investigador principal (IP))
- BURLAKA PETRASH, ARSEN (Participante)
- ALVAREZ GARCIA, FEDERICO (Participante)
- TORRE ASTANIN, ALEXANDER DE LA (Participante)
- SALVACHUA RODRIGUEZ, JOAQUIN LUCIANO (Investigador principal (IP))
- LOPEZ PERNAS, SONSOLES (Participante)
- HUECAS FERNANDEZ-TORIBIO, GABRIEL (Participante)
- QUEMADA VIVES, JUAN (Participante)
- MUÑOZ ARCENTALES, JOSÉ ADRÉS (Participante)
- Corcho García, Oscar (Investigador principal (IP))
Period: 01-02-2020 - 31-12-2022
Type of funding: Regional
Amount of funding: 99859,50 Euros.
- iMarina
BATCH REINFORCEMENT LEARNING (ACUERDO DE PROYECTO N.º 3)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 16-12-2020 - 17-11-2022
Type of funding: Internal
Amount of funding: 119375,00 Euros.
- iMarina
Outcome prediction and treatment efficiency in patients hospitalized with Covid-19 in Madrid: A Bayesian network approach.
- QUESADA LOPEZ, DAVID (Miembro del equipo de trabajo)
- JIMENEZ LOPEZ DE CASTRO, JOAQUIN (Miembro del equipo de trabajo)
- BERNAOLA ALVAREZ, NIKOLAS (Miembro del equipo de trabajo)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
- LARRAÑAGA MUGICA, PEDRO MARIA (Participante)
- FDEZ DEL POZO DE SALAMANCA, JUAN ANTONIO (Participante)
Period: 09-10-2020 - 09-10-2022
Type of funding: National
Amount of funding: 125465,00 Euros.
- iMarina
INVESTIGACIÓN Y DESARROLLO DE METODOLOGÍA EN LA INTELIGENCIA ARTIFICIAL (ML) ORIENTADO A CASOS INDUSTRIALES DE USO DE DATOS CONTÍNUOS DE ULTRA-ALTA VELOCIDAD
- SOJO GARCIA, RAFAEL (Miembro del equipo de trabajo)
- AMIGO SAÑUDO, NICOLAS (Miembro del equipo de trabajo)
- ORTIZ BENITO, LUIS (Miembro del equipo de trabajo)
- RECKE CAMPOS, IAN (Miembro del equipo de trabajo)
- LOPEZ DOMINGUEZ, ISIDRO (Miembro del equipo de trabajo)
- VALERO LEAL, ENRIQUE (Miembro del equipo de trabajo)
- PÉREZ SOLOVIEV, VICENTE (Miembro del equipo de trabajo)
- QUESADA LOPEZ, DAVID (Miembro del equipo de trabajo)
- VALVERDE CASTILLA, GABRIEL ANTONIO (Miembro del equipo de trabajo)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
- BIELZA LOZOYA, MARIA CONCEPCION (Participante)
- FDEZ DEL POZO DE SALAMANCA, JUAN ANTONIO (Participante)
Period: 01-01-2020 - 31-12-2023
Type of funding: National
Amount of funding: 322508,00 Euros.
- iMarina
It Basket
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 01-05-2019 - 30-04-2020
Type of funding: Regional
- iMarina
IA REDES BAYESIANAS
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 01-10-2019 - 31-12-2020
Type of funding: Internal
- iMarina
MODELOS PROBABILÍSTICOS PARA PREDICCIONES FUTBOLÍSTICAS
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 01-02-2018 - 01-04-2020
Type of funding: Internal
- iMarina
PROYECTO NUMERO 1 ACUERDO DE COLABORACION UPM Y REPSOL, S.A.
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 01-10-2018 - 02-07-2021
Type of funding: Internal
Amount of funding: 125295,28 Euros.
- iMarina
GESTIÓN ENERGÉTICA AVANZADA PARA MÁQUINA HERRAMIENTA DE NUEVA GENERACION (EMON)
- BIELZA LOZOYA, MARIA CONCEPCION (Colaborador/a)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Period: 08-04-2017 - 20-06-2019
Type of funding: Internal
- iMarina
Asymmetric hidden Markov models and extensions applied to industry
- LARRAÑAGA MUGICA, PEDRO MARIA (Director)
- BIELZA LOZOYA, MARIA CONCEPCION (Director) Doctorando: Puerto Santana, Carlos
2/3/2023
- iMarina
Multivariate time-series modelling and forecasting with high-order dynamic Bayesian networks applied in industrial settings
- BIELZA LOZOYA, MARIA CONCEPCION (Director)
- LARRAÑAGA MUGICA, PEDRO MARIA (Director) Doctorando: Quesada López, David
27/10/2023
- iMarina
Nonparametric Models and Bayesian Networks. Applications to Anomaly Detection
- BIELZA LOZOYA, MARIA CONCEPCION (Director)
- LARRAÑAGA MUGICA, PEDRO MARIA (Director) Doctorando: Atienza González, David
1/1/2021
- 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
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
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
Research groups
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Computational Intelligence Group
Role: Miembro
Researcher profiles
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ORCID
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Publons
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Scopus Author ID