Larrañaga Mugica, Pedro Maria pedro.larranaga@upm.es
Actividades
- Artículos 450
- Libros 21
- Capítulos de libro 30
- Congresos 106
- Documentos de trabajo 0
- Informes técnicos 0
- Proyectos de investigación 44
- Tesis dirigidas 35
- Patentes o licencias de software 1
BN-BacArena: Bayesian network extension of BacArena for the dynamic simulation of microbial communities
- Blasco, Telmo
- Balzerani, Francesco
- Valcarcel, Luis V
- Larranaga, Pedro
- Bielza, Concha
- Francino, Maria Pilar
- Rufian-Henares, Jose Angel
- Planes, Francisco J
- Perez-Burillo, Sergio
Bioinformatics - 2/5/2024
10.1093/bioinformatics/btae266 Ver en origen
- ISSN 13674803
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search
- Soloviev, Vicente P
- Dunjko, Vedran
- Bielza, Concha
- Larranaga, Pedro
- Wang, Hao
Epj Quantum Technology - 1/12/2024
10.1140/epjqt/s40507-024-00282-6 Ver en origen
- ISSN 21960763
EDAspy: An extensible python package for estimation of distribution algorithms
- Soloviev VP
- Larrañaga P
- Bielza C
Neurocomputing - 1/1/2024
10.1016/j.neucom.2024.128043 Ver en origen
- ISSN 09252312
Explainable Artificial Intelligence and Process Mining Applications for Healthcare: Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H …
- JM Juarez
Springer Nature - 1/1/2024
- iMarina
Preface
- Orjuela-Cañón AD
- Arias-Londoño JD
- Lopez JA
Communications In Computer And Information Science (p. vi-vi) - 1/1/2024
- ISSN 18650929
- iMarina
Efficient search for relevance explanations using MAP-independence in Bayesian networks
- Valero-Leal, Enrique
- Bielza, Concha
- Larranaga, Pedro
- Renooij, Silja
International Journal Of Approximate Reasoning - 1/9/2023
10.1016/j.ijar.2023.108965 Ver en origen
- 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 Ver en origen
- ISSN 0888613X
Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks
- Bernaola, Niko
- Michiels, Mario
- Larranaga, Pedro
- Bielza, Concha
Plos Computational Biology - 1/12/2023
10.1371/journal.pcbi.1011443 Ver en origen
- ISSN 1553734X
Causal reinforcement learning based on Bayesian networks applied to industrial settings
- Valverde, Gabriel
- Quesada, David
- Larranaga, Pedro
- Bielza, Concha
Engineering Applications Of Artificial Intelligence - 1/10/2023
10.1016/j.engappai.2023.106657 Ver en origen
- ISSN 09521976
Quantum approximate optimization algorithm for Bayesian network structure learning
- Soloviev, Vicente P
- Bielza, Concha
- Larranaga, Pedro
Quantum Information Processing - 1/1/2023
10.1007/s11128-022-03769-2 Ver en origen
- ISSN 15700755
Methods’ details for the bnclassify package
- B Mihaljevic
- C Bielza
- P Larranaga
1/1/2024
- iMarina
Data-Driven Computational Neuroscience
- Bielza, C
- Larranaga, P
Data-Driven Computational Neuroscience: Machine Learning And Statistical Models (p. 1-689) - 1/1/2021
- iMarina
Prediction of covid-19 severity in madrid region with model-leaf trees.
- MA Riaño-Sánchez
- C Bielza
- P Larrañaga
1/1/2021
- iMarina
Technical details for the bnclassify package
- B Mihaljevic
- C Bielza
- P Larranaga
1/1/2018
- iMarina
Special Issue on Recent Trends in Intelligent Systems
- JA Gámez
- F Herrera
- JM Puerta
- J Hernández-González
- I Inza
1/1/2016
- iMarina
CONTRIBUTIONS TO THE TRUNCATED VON MISES DISTRIBUTION FOR THE UNIVARIATE AND BIVARIATE CASE
- PF González
- PL Mugica
1/1/2014
- iMarina
GECCO’14: Proceedings of the 2014 conference on Genetic and evolutionary computation
1/1/2014
- 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
Regularized Model Learning in Estimation of Distribution Algorithms for Continuous Optimization Problems
- HKR Santana
- CBP Larranaga
1/1/2011
- 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
ProbExplainer: A Library for Unified Explainability of Probabilistic Models and an Application in Interneuron Classification
- Valero-Leal, Enrique
- Larranaga, Pedro
- Bielza, Concha
Communications In Computer And Information Science (p. 41-51) - 1/1/2024
10.1007/978-3-031-54303-6_5 Ver en origen
- ISSN 18650929
Fast bridge health monitoring deployment with transferable expertise
- Sojo-García R
- Larrañaga P
- Bielza C
- Díaz-Rozo J
Bridge Maintenance, Safety, Management, Digitalization And Sustainability - Proceedings Of The 12th International Conference On Bridge Maintenance, Safety And Management, Iabmas 2024 (p. 1523-1530) - 1/1/2024
A probabilistic perspective for optimizing the parameters of quantum heuristics using evolutionary algorithms
- BIELZA LOZOYA, MARIA CONCEPCION
- LARRAÑAGA MUGICA, PEDRO MARIA
- PÉREZ SOLOVIEV, VICENTE
Quantum Information In Spain Ice-8. Galicia, Spain. - 1/6/2023
- 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 Ver en origen
- ISSN 23258861
Structural modeling of clinical factors for simultaneous validation and prediction of future conversion to mild cognitive impairment
- SR Ram
- BA Strange
- L Zhang
- T Ser
- ELV Lorenzo
- M Valentí
Alzheimer's & Dementia - 1/1/2023
- iMarina
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 Ver en origen
- ISSN 21945357
Quantum parametric circuit optimization with estimation of distribution algorithms
- Soloviev, Vicente P
- Larranaga, Pedro
- Bielza, Concha
Gecco 2022 Companion - Proceedings Of The 2022 Genetic And Evolutionary Computation Conference (p. 2247-2250) - 1/1/2022
Este/a investigador/a no tiene documentos de trabajo.
Este/a investigador/a no tiene informes técnicos.
DISEÑO EXPERIMENTAL MULTIOBJETIVO (ACUERDO N.º 8)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Ejecución: 01-02-2024 - 31-12-2024
Tipo: Interno
- iMarina
USET UNCONVENTIONAL FIELDS (ACUERDO N.º 7)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Ejecución: 01-02-2024 - 31-12-2024
Tipo: Interno
- iMarina
Nuevas Soluciones basadas en Inteligencia Artificial para la eficiencia y la flexibilidad de la producción industrial
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
- MIHALJEVIC, BOJAN (Participante)
- FDEZ DEL POZO DE SALAMANCA, JUAN ANTONIO (Participante)
- BIELZA LOZOYA, MARIA CONCEPCION (Participante)
Ejecución: 01-01-2024 - 31-12-2027
Tipo: Nacional
Importe financiado: 433500,00 Euros.
- 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
Importe financiado: 104693,09 Euros.
- iMarina
Investigación del proceso mecanizado y corte láser de piezas esbeltas de Aluminio para el sector de la movilidad sostenible y desarrollo de la nueva solución de manufactura híbrida y digital de futuro (AI2Future)
- BIELZA LOZOYA, MARIA CONCEPCION (Participante)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Ejecución: 01-05-2023 - 31-12-2024
- iMarina
SELF DRIVING LAB (ACUERDO N.º 6)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Ejecución: 16-01-2023 - 31-12-2023
Tipo: Interno
Importe financiado: 75000,00 Euros.
- iMarina
FACTURACIÓN UTE FAI4CIM LOTE 1 COMPRA PÚBLICA PRECOMERCIAL PARA EL DESARROLLO DE SOLUCIONES INNOVADORAS EN EL ÁMBITO DE LA INSPECCIÓN DE PUENTES, VIADUCTOS Y APARATOS DE DESVÍOS
- BIELZA LOZOYA, MARIA CONCEPCION (Colaborador/a)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Ejecución: 16-02-2022 - 25-04-2022
- iMarina
TITANIUM IND-Detección de ataques y anomalías M3-M35
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Ejecución: 22-12-2022 - 31-12-2024
- iMarina
Investigación y Desarrollo de algoritmos para caracterización y monitorización de puentes (M1-M24). Integración de algoritmia en hardware embebido (M13-M36). ML Bridges. Adenda de prórroga/ampliación de Proyecto AINGURA IIOT-I+D-M1-M24-M13-M36
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Ejecución: 16-12-2022 - 30-09-2022
- iMarina
SISMICIDAD INDUCIDA (ACUERDO N.º 5)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Ejecución: 12-12-2022 - 31-05-2023
Tipo: Interno
Importe financiado: 86667,00 Euros.
- 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
- LARRAÑAGA MUGICA, PEDRO MARIA (Director)
- BIELZA LOZOYA, MARIA CONCEPCION (Director) Doctorando: DÍAZ ROZO, Javier
1/1/2019
- iMarina
Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience
- LARRAÑAGA MUGICA, PEDRO MARIA (Director)
- BIELZA LOZOYA, MARIA CONCEPCION (Director) Doctorando: FERNÁNDEZ-GONZÁLEZ, Pablo
1/1/2019
- iMarina
Clustering based on Bayesian networks with Gaussian and angular predictors : applications in Neuroscience
- BIELZA LOZOYA, MARIA CONCEPCION (Director)
- LARRAÑAGA MUGICA, PEDRO MARIA (Director) Doctorando: LUENGO-SÁNCHEZ, Sergio
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
Grupos de investigación
-
Computational Intelligence Group
Rol: Investigador Principal
Perfiles de investigador/a
-
ORCID
-
Publons
-
Scopus Author ID
-
Dialnet id