Concha Bielza

Universidad Politécnica de Madrid — Spain

Computer Science · Physical Sciences

40h-index8.8kcitations335works0.52yr avg
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Research Topics

Bayesian Modeling and Causal Inference(105), Neural dynamics and brain function(34), Bayesian Methods and Mixture Models(34), Machine Learning and Data Classification(27), Gene expression and cancer classification(24)

Publications335 total

Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
arXiv (Cornell University)·2025Open Access
Binned semiparametric Bayesian networks
arXiv (Cornell University)·2025Open Access
Discovering Genetic Variants in Hypertrophic Cardiomyopathy With Multiple Machine Learning Techniques
IEEE Transactions on Computational Biology and Bioinformatics·2025Open Access
Transfer Learning for Nonparametric Bayesian Networks
SSRN Electronic Journal·2025Open Access
A multi-objective framework based on estimation of distribution algorithms for data-driven fuel experimental design
Journal of Industrial and Management Optimization·2025Open Access
Bandwidth Selectors on Semiparametric Bayesian Networks
SSRN Electronic Journal·2025Open Access
Estimation of Distribution Algorithms
2025
Estimation of Distribution Algorithms
2025
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search
EPJ Quantum Technology·2024Open Access
Trainability maximization using estimation of distribution algorithms assisted by surrogate modelling for quantum architecture search
arXiv (Cornell University)·2024Open Access
Fast bridge health monitoring deployment with transferable expertise
2024Open Access
EDAspy: An extensible python package for estimation of distribution algorithms
Neurocomputing·2024· 1 citedOpen Access
BN-BacArena: Bayesian network extension of BacArena for the dynamic simulation of microbial communities
Bioinformatics·2024· 7 citedOpen Access
ProbExplainer: A Library for Unified Explainability of Probabilistic Models and an Application in Interneuron Classification
Communications in computer and information science·2024
Edaspy: An Extensible Python Package for Estimation of Distribution Algorithms
SSRN Electronic Journal·2024Open Access
Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks
PLoS Computational Biology·2023· 13 citedOpen Access
Structural modeling of clinical factors for simultaneous validation and prediction of future conversion to mild cognitive impairment
Alzheimer s & Dementia·2023Open Access
High-Dimensional Feature Characterization of Single Nucleotide Variants in Hypertrophic Cardiomyopathy
Computing in cardiology·2023· 1 citedOpen Access
Estimation of Distribution Algorithms in Machine Learning: A Survey
IEEE Transactions on Evolutionary Computation·2023· 15 citedOpen Access
Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection
Neurocomputing·2023· 3 cited
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Frequent Co-authors

Pedro Larrañaga(42), Roberto Santana(7), Rubén Armañanzas(7), Javier DeFelipe(7), Vı́ctor Robles(6), Javier Díaz-Rozo(5), Hossein Karshenas(4), Iñaki Inza(3), José A. Lozano(3), Ruth Benavides‐Piccione(3), Rafael Yuste(3), Hanen Borchani(3), Pablo Martínez‐Martín(3), Prakash P. Shenoy(3), Dirk Feldmeyer(2), Gord Fishell(2), Z. Josh Huang(2), Òscar Marín(2), Jochen F. Staiger(2), Gábor Tamás(2)