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C

Concha Bielza

universidad politecnica de madrid

40H-index
335Paper Count
8.8KCitation Count
Published Papers 79
Publication Date
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Transfer learning for nonparametric Bayesian networks
errKnowledge-Based Systems
IF7.6
err2026-04-30
err0
errOAAI
errRafael Sojo; Pedro Larrañaga; Concha Bielza
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Discovering Genetic Variants in Hypertrophic Cardiomyopathy With Multiple Machine Learning Techniques
errieee acm transactions on computational biology and bioinformatics
IF0
err2025-07-01
err0
errOAAI
errDafne Lozano-Paredes; Luis Bote-Curiel; María Sabater-Molina; Concha Bielza; Juan R Gimeno-Blanes; Sergio Muñoz-Romero; F Javier Gimeno-Blanes; Pedro Larrañaga; José Luis Rojo-Álvarez
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Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search
errEPJ QUANTUM TECHNOLOGY
IF5.6
err2024-10-18
err0
errOAAI
errSoloviev, Vicente P.; Dunjko, Vedran; Bielza, Concha; Larranaga, Pedro; Wang, Hao
errShare
errSave
Estimation of Distribution Algorithms in Machine Learning: A Survey
errIEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
IF12
err2024-10-01
err4
errOAAI
errLarranaga, Pedro; Bielza, Concha
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errSave
EDAspy: An extensible python package for estimation of distribution algorithms
errNEUROCOMPUTING
IF6.5
err2024-09-01
err0
errOAAI
errSoloviev, Vicente P.; Larranaga, Pedro; Bielza, Concha
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errSave
Semiparametric Estimation of Distribution Algorithms for Continuous Optimization
errIEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
IF12
err2024-08-01
err2
errOAAI
errSoloviev, Vicente P.; Bielza, Concha; Larranaga, Pedro
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errSave
Feature Saliencies in Asymmetric Hidden Markov Models
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2024-03-01
err2
PREAI
errPuerto-Santana, Carlos; Larranaga, Pedro; Bielza, Concha
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errSave
Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection
errNEUROCOMPUTING
IF6.5
err2023-10-01
err3
PREAI
errPuerto-Santana, Carlos; Larranaga, Pedro; Bielza, Concha
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errSave
Efficient search for relevance explanations using MAP-independence in Bayesian networks
errINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF3
err2023-09-01
err1
errOAAI
errValero-Leal, Enrique; Bielza, Concha; Larranaga, Pedro; Renooij, Silja
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errSave
Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers
errINTERNATIONAL JOURNAL OF APPROXIMATE REASONING
IF3
err2023-08-01
err3
errOAAI
errVilla-Blanco, Carlos; Bregoli, Alessandro; Bielza, Concha; Larranaga, Pedro; Stella, Fabio
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errSave
Feature subset selection for data and feature streams: a review
errARTIFICIAL INTELLIGENCE REVIEW
IF13.9
err2023-07-13
err7
errOAAI
errVilla-Blanco, Carlos; Bielza, Concha; Larranaga, Pedro
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errSave
Asymmetric HMMs for Online Ball-Bearing Health Assessments
errIEEE INTERNET OF THINGS JOURNAL
IF8.9
err2022-10-15
err5
PREAI
errPuerto-Santana, Carlos; Bielza, Concha; Diaz-Rozo, Javier; Ramirez-Gargallo, Guillem; Mantovani, Filippo; Virumbrales, Gaizka; Labarta, Jesus; Larranaga, Pedro
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errSave
PyBNesian: An extensible python package for Bayesian networks
errNEUROCOMPUTING
IF6.5
err2022-09-01
err8
errOAAI
errAtienza, David; Bielza, Concha; Larranaga, Pedro
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errSave
Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks
errINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
IF3.7
err2022-08-08
err4
PREAI
errQuesada, David; Bielza, Concha; Fontan, Pedro; Larranaga, Pedro
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errSave
Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering
errSCIENTIFIC REPORTS
IF3.9
err2021-12-08
err20
errOAAI
errRodriguez-Sanchez, Fernando; Rodriguez-Blazquez, Carmen; Bielza, Concha; Larranaga, Pedro; Weintraub, Daniel; Martinez-Martin, Pablo; Rizos, Alexandra; Schrag, Anette; Chaudhuri, K. Ray
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errSave
Multipartition clustering of mixed data with Bayesian networks
errINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
IF3.7
err2021-11-30
err3
errOAAI
errRodriguez-Sanchez, Fernando; Bielza, Concha; Larranaga, Pedro
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errSave
Bayesian networks for interpretable machine learning and optimization
errNEUROCOMPUTING
IF6.5
err2021-10-01
err60
errOAAI
errMihaljevic, Bojan; Bielza, Concha; Larranaga, Pedro
errShare
errSave
Multidimensional continuous time Bayesian network classifiers
errINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
IF3.7
err2021-09-03
err2
errOAAI
errVilla-Blanco, Carlos; Larranaga, Pedro; Bielza, Concha
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errSave
Patient specific prediction of temporal lobe epilepsy surgical outcomes
errEPILEPSIA
IF6.6
err2021-07-18
err6
PREAI
errBenjumeda, Marco; Tan, Yee-leng; Gonzalez Otarula, Karina A.; Chandramohan, Dharshan; Chang, Edward F.; Hall, Jeffery A.; Bielza, Concha; Larranaga, Pedro; Kobayashi, Eliane; Knowlton, Robert C.
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errSave
BayeSuites: An open web framework for massive Bayesian networks focused on neuroscience
errNEUROCOMPUTING
IF6.5
err2021-03-01
err12
errOAAI
errMichiels, Mario; Larranaga, Pedro; Bielza, Concha
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
J
John L.R. Rubenstein
H-index: 148 · Papers: 491
Y
Yves Van de Peer
H-index: 133 · Papers: 770
D
David A. Lewis
H-index: 133 · Papers: 846
D
Daniel Weintraub
H-index: 114 · Papers: 623
T
Tamás F. Freund
H-index: 112 · Papers: 301
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