Larrañaga Mugica, Pedro Maria pedro.larranaga@upm.es
Publications
- Articles 452
- Books 22
- Book chapters 30
- Conferences 107
- Working papers 0
- Technical reports 0
- Research projects 45
- Supervised theses 37
- Patent or software license 1
Discovering Genetic Variants in Hypertrophic Cardiomyopathy With Multiple Machine Learning Techniques
- Lozano-Paredes, Dafne
- Bote-Curiel, Luis
- Sabater-Molina, Maria
- Bielza, Concha
- Gimeno-Blanes, Juan R
- Munoz-Romero, Sergio
- Gimeno-Blanes, F Javier
- Larranaga, Pedro
- Rojo-Alvarez, Jose Luis
Ieee Transactions On Computational Biology And Bioinformatics (p. 1822-1835) - 1/7/2025
10.1109/tcbbio.2025.3572833 View at source
- ISSN 29984165
BN-BacArena: Bayesian network extension of BacArena for the dynamic simulation of microbial communities
- Blasco, T
- Balzerani, F
- Valcárcel, LV
- Larrañaga, P
- Bielza, C
- Francino, MP
- Rufián-Henares, JA
- Planes, FJ
- Pérez-Burillo, S
Bioinformatics - 2/5/2024
10.1093/bioinformatics/btae266 View at source
- ISSN 13674803
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search
- Soloviev, VP
- Dunjko, V
- Bielza, C
- Larrañaga, P
- Wang, H
Epj Quantum Technology - 1/12/2024
10.1140/epjqt/s40507-024-00282-6 View at source
- 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 View at source
- 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
- Noll T
- Montiel M
- Gómez F
- Hamido OC
- Besada JL
- Martins JO
Lecture Notes In Computer Science (p. v-vi) - 1/1/2024
10.15767/feministstudies.43.2.0255 View at source
- ISSN 03029743
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, 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
Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks
- Bernaola, N
- Michiels, M
- Larrañaga, P
- Bielza, C
Plos Computational Biology - 1/12/2023
10.1371/journal.pcbi.1011443 View at source
- ISSN 1553734X
Methods’ details for the bnclassify package
- B Mihaljevic
- C Bielza
- P Larranaga
1/1/2024
- iMarina
Explainable Artificial Intelligence and Process Mining Applications for Healthcare. Third International Workshop, XAI-Healthcare 2023, and First International Workshop, PM4H 2023, Portoroz, Slovenia, June 15, 2023, Proceedings
- Jose M. Juarez, Carlos Fernandez-Llatas, Concha Bielza, Owen Johnson, Primoz Kocbek, Pedro Larrañaga, Niels Martin, Jorge Munoz-Gama, Gregor Štiglic, Marcos Sepulveda, Alfredo Vellido
(p. 1-131) - 1/1/2024
978-3-031-54303-6 View at source
- ISBN 978-3-031-54303-6
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
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, E
- Larrañaga, P
- Bielza, C
Communications In Computer And Information Science (p. 41-51) - 1/1/2024
10.1007/978-3-031-54303-6_5 View at source
- 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
Multi-objective Counterfactuals in Bayesian Classifiers with Estimation of Distribution Algorithms
- Zaragoza-Pellicer, D
- Bielza, C
- Larrañaga, P
International Conference On Probabilistic Graphical Models (p. 415-426) - 1/1/2024
- iMarina
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 View at source
- 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 View at source
- 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
This researcher has no working papers.
This researcher has no technical reports.
TEC-2024/COM-89 - CIG. Inteligencia artificial para la industria 4.0: generación de datos, modelado avanzado, optimización e interpretabilidad
- Hernandez Lobato, Daniel (Investigador principal (IP))
Period: 01-01-2025 - 31-12-2028
Type of funding: Regional
Funding entity: COMUNIDAD DE MADRID
Amount of funding: 0,00 Euros.
- iMarina
- UC3M
DISEÑO EXPERIMENTAL MULTIOBJETIVO (ACUERDO N.º 8)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 01-02-2024 - 31-12-2024
Type of funding: Internal
Amount of funding: 70000,00 Euros.
- iMarina
USET UNCONVENTIONAL FIELDS (ACUERDO N.º 7)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 01-02-2024 - 31-12-2024
Type of funding: Internal
Amount of funding: 84335,00 Euros.
- 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)
Period: 01-01-2024 - 31-12-2027
Type of funding: National
Amount of funding: 433500,00 Euros.
- iMarina
Algoritmos de Estimación de Distribuciones en Aprendizaje Automático y Optimización
- VILLA BLANCO, CARLOS (Miembro del equipo de trabajo)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
- 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))
Period: 01-09-2023 - 31-08-2026
Type of funding: National
Amount of funding: 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))
Period: 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))
Period: 16-01-2023 - 31-12-2023
Type of funding: Internal
Amount of funding: 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))
Period: 16-02-2022 - 25-04-2022
- iMarina
TITANIUM IND-Detección de ataques y anomalías M3-M35
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Period: 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))
Period: 16-12-2022 - 30-09-2022
- iMarina
New Advances in Estimation of Distribution Algorithms for Quantum Machine Learning and Industrial Scenarios
- LARRAÑAGA MUGICA, PEDRO MARIA (Director)
- BIELZA LOZOYA, MARIA CONCEPCION (Director) Doctorando: PÉREZ SOLOVIEV, VICENTE
6/5/2025
- iMarina
Feature Subset Selection and Multi-dimensional Continuous-Time Bayesian Network Classifiers for Streaming Data
- BIELZA LOZOYA, MARIA CONCEPCION (Director)
- LARRAÑAGA MUGICA, PEDRO MARIA (Director)
- Carlos Villa‐Blanco (Autor (correspondencia)) Doctorando: Villa Blanco, Carlos
17/5/2024
- 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
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
Research groups
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Computational Intelligence Group
Role: Investigador Principal
Researcher profiles
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ORCID
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Publons
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Scopus Author ID
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Dialnet id

