Larrañaga Mugica, Pedro Maria pedro.larranaga@upm.es
Publications
- Articles 238
- Books 2
- Book chapters 29
- Conferences 99
- Working papers 0
- Technical reports 0
- Research projects 39
- Supervised theses 35
- Patent or software license 1
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
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
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
Learning Mixtures of Polynomials of Conditional Densities from Data
- Thomas D. Nielsen
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
Lecture Notes In Computer Science (p. 363-372) - 10/10/2013
10.1007/978-3-642-40643-0_37 View at source
- ISSN 03029743
- iMarina
- iMarina
Augmented Semi-naive Bayes Classifier
- MIHALJEVIC, BOJAN
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
Lecture Notes In Computer Science (p. 159-167) - 10/10/2013
10.1007/978-3-642-40643-0_17 View at source
- ISSN 03029743
- iMarina
- iMarina
Learning conditional linear Gaussian classifiers with probabilistic class labels
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
Lecture Notes In Computer Science (p. 139-148) - 10/10/2013
10.1007/978-3-642-40643-0_15 View at source
- ISSN 03029743
- iMarina
- iMarina
Identification of a biomarker panel for colorectal cancer diagnosis
- García-Bilbao, A
- Armañanzas, R
- Ispizua, Z
- Calvo, B
- Alonso-Varona, A
- Inza, I
- Larrañaga, P
- López-Vivanco, G
- Suárez-Merino, B
- Betanzos, M
Proceedings Of The 6th International Meeting On Biotechnology (p. 77-77) - 19/9/2012
10.1186/1471-2407-12-43 View at source
- ISSN 14712407
- iMarina
- iMarina
Restating clinical impression of severity index for Parkinson's disease using just non-motor criteria
- Pablo Martínez-Martín
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
Proceedings Of The 25th European Conference On Operational Research (p. 231-232) - 8/7/2012
- iMarina
Maximizing the number of polychronous groups in spiking networks
- Santana, R
- Bielza, C
- Larrañaga, P
Companion Material Proceedings Of The 14th Annual Genetic And Evolutionary Computation Conference (Gecco-2012), Acm Digital Library, 1499-1500 (p. 1.499-1.500) - 7/7/2012
10.1145/2330784.2331012 View at source
- iMarina
- iMarina
A Survey on Replicated Spatial Point Patterns with Case Study on Dendritic Spine Distribution in Pyramidal Neurons
- Ruth Benavides-Piccione
- Javier deFelipe
- Isabel Fernaud
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
25/6/2012
- iMarina
Multi-Objective Optimization Approach to the Analysis of Inter-Subject and Inter-Session Variability in BCI Experiments
- LARRAÑAGA MUGICA, PEDRO MARIA
- BIELZA LOZOYA, MARIA CONCEPCION
(p. 1-1) - 10/6/2012
- iMarina
Learning mixtures of polynomials from data using B-spline interpolation
- López-Cruz P
- Bielza C
- Larrañaga P
Proceedings Of The 6th European Workshop On Probabilistic Graphical Models, Pgm 2012 (p. 211-218) - 1/12/2012
- 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 View at source
- ISSN 9781450306904
- iMarina
- iMarina
This researcher has no working papers.
This researcher has no technical reports.
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))
Period: 01-09-2023 - 31-08-2026
Type of funding: National
- 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
- 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
SISMICIDAD INDUCIDA (ACUERDO N.º 5)
- LARRAÑAGA MUGICA, PEDRO MARIA (Colaborador/a)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
Period: 12-12-2022 - 31-05-2023
Type of funding: Internal
- iMarina
Redes Bayesianas para Aprendizaje Automático y Optimización Interpretables
- CONDE ZORITA, DANIEL (Miembro del equipo de trabajo)
- PANIAGUA ROMERO, KEVIN (Miembro del equipo de trabajo)
- VALERO LEAL, ENRIQUE (Miembro del equipo de trabajo)
- ALONSO TUBIA, MARTA (Miembro del equipo de trabajo)
- TELLO LOPEZ, IVAN EUGENIO (Miembro del equipo de trabajo)
- ALEJANDRE JIMENEZ, VICTOR (Miembro del equipo de trabajo)
- BERNAOLA ALVAREZ, NIKOLAS (Miembro del equipo de trabajo)
- LI HU, CARLOS (Miembro del equipo de trabajo)
- PÉREZ SOLOVIEV, VICENTE (Miembro del equipo de trabajo)
- VILLA BLANCO, CARLOS (Miembro del equipo de trabajo)
- FDEZ DEL POZO DE SALAMANCA, JUAN ANTONIO (Participante)
- Puerto Santana, Carlos Esteban (Miembro del equipo de trabajo)
- BIELZA LOZOYA, MARIA CONCEPCION (Investigador principal (IP))
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Period: 01-12-2022 - 30-11-2024
Type of funding: National
Amount of funding: 413540,00 Euros.
- iMarina
DESARROLLO DEL NODO ELLIS (EUROPEAN LABORATORY FOR LEARNING AND INTELLIGENT SYSTEMS)
- PIZARRO CARREÑO, RICARDO IGNACIO (Participante)
- ALVAREZ RODRIGUEZ, CLARA (Participante)
- AYUSO GARCIA, ISABEL (Participante)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Period: 01-01-2022 - 31-12-2023
Type of funding: Regional
- iMarina
NUEVA SONDA DE CIBERSEGURIDAD PARA LA DETECCIÓN, GESTIÓN Y RESPUESTA DE BRECHAS DE SEGURIDAD, ATAQUES O ANOMALÍAS EN REDES INDUSTRIALES (INMAP-R2)
- BIELZA LOZOYA, MARIA CONCEPCION (Colaborador/a)
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Period: 01-05-2021 - 17-11-2022
- iMarina
Desarrollo de un sistema diagnostico basado en Machine Learning para la detección en tiempo real de degradación temprana en el proceso de fabricación de medicamentos. MLpharma. Convocatoria de ayudas 2020 sobre desarrollo tecnológico basado en inteligencia artificial y otras tecnologías habilitadoras digitales
- LARRAÑAGA MUGICA, PEDRO MARIA (Investigador principal (IP))
Period: 18-12-2021 - 30-09-2022
- 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
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