Concha Bielza
Orcid: 0000-0001-7109-2668Affiliations:
- Universidad Politécnica de Madrid
According to our database1,
Concha Bielza
authored at least 168 papers
between 1996 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on zbmath.org
-
on orcid.org
-
on id.loc.gov
-
on d-nb.info
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
2023
Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks.
PLoS Comput. Biol., December, 2023
Feature subset selection in data-stream environments using asymmetric hidden Markov models and novelty detection.
Neurocomputing, October, 2023
Artif. Intell. Rev., October, 2023
Efficient search for relevance explanations using MAP-independence in Bayesian networks.
Int. J. Approx. Reason., September, 2023
Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers.
Int. J. Approx. Reason., August, 2023
NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools.
Frontiers Neuroinformatics, March, 2023
Quantum Inf. Process., 2023
Causal reinforcement learning based on Bayesian networks applied to industrial settings.
Eng. Appl. Artif. Intell., 2023
Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023
High-Dimensional Feature Characterization of Single Nucleotide Variants in Hypertrophic Cardiomyopathy.
Proceedings of the Computing in Cardiology, 2023
Variational Quantum Algorithm Parameter Tuning with Estimation of Distribution Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables.
J. Comb. Optim., 2022
IEEE Internet Things J., 2022
Int. J. Intell. Syst., 2022
Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks.
Int. J. Intell. Syst., 2022
Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
Evolutive Adversarially-Trained Bayesian Network Autoencoder for Interpretable Anomaly Detection.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Neurocomputing, 2021
BayeSuites: An open web framework for massive Bayesian networks focused on neuroscience.
Neurocomputing, 2021
Int. J. Intell. Syst., 2021
Comparing the Electrophysiology and Morphology of Human and Mouse Layer 2/3 Pyramidal Neurons With Bayesian Networks.
Frontiers Neuroinformatics, 2021
Long-term forecasting of multivariate time series in industrial furnaces with dynamic Gaussian Bayesian networks.
Eng. Appl. Artif. Intell., 2021
An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Machine-tool condition monitoring with Gaussian mixture models-based dynamic probabilistic clustering.
Eng. Appl. Artif. Intell., 2020
Sparse Cholesky Covariance Parametrization for Recovering Latent Structure in Ordered Data.
IEEE Access, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
2019
Pattern Recognit., 2019
A circular-linear dependence measure under Johnson-Wehrly distributions and its application in Bayesian networks.
Inf. Sci., 2019
Data Knowl. Eng., 2019
Artif. Intell., 2019
A Directional-Linear Bayesian Network and Its Application for Clustering and Simulation of Neural Somas.
IEEE Access, 2019
Random Forests for Regression as a Weighted Sum of ${k}$ -Potential Nearest Neighbors.
IEEE Access, 2019
2018
3D morphology-based clustering and simulation of human pyramidal cell dendritic spines.
PLoS Comput. Biol., 2018
PLoS Comput. Biol., 2018
Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes.
IEEE Internet Things J., 2018
Tractability of most probable explanations in multidimensional Bayesian network classifiers.
Int. J. Approx. Reason., 2018
BMC Bioinform., 2018
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Learning Bayesian network classifiers with completed partially directed acyclic graphs.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
A partial orthogonalization method for simulating covariance and concentration graph matrices.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Prog. Artif. Intell., 2017
Int. J. Intell. Syst., 2017
Network design through forests with degree- and role-constrained minimum spanning trees.
J. Heuristics, 2017
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017
2016
Neuroinformatics, 2016
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices.
J. Assoc. Inf. Sci. Technol., 2016
Decision functions for chain classifiers based on Bayesian networks for multi-label classification.
Int. J. Approx. Reason., 2016
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.
Intell. Data Anal., 2016
A review of undirected and acyclic directed Gaussian Markov model selection and estimation.
CoRR, 2016
Proceedings of the STAIRS 2016, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment.
Proceedings of the Machine Learning for Cyber Physical Systems, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Neuroinformatics, 2015
J. Mach. Learn. Res., 2015
Int. J. Intell. Syst., 2015
Data Min. Knowl. Discov., 2015
Comput. Optim. Appl., 2015
Classifying GABAergic interneurons with semi-supervised projected model-based clustering.
Artif. Intell. Medicine, 2015
Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control.
Proceedings of the Machine Learning for Cyber Physical Systems, 2015
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015
Proceedings of the Advances in Artificial Intelligence, 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables.
IEEE Trans. Evol. Comput., 2014
Pattern Recognit. Lett., 2014
Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals.
Neurocomputing, 2014
Bayesian network modeling of the consensus between experts: An application to neuron classification.
Int. J. Approx. Reason., 2014
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation.
Int. J. Approx. Reason., 2014
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty.
Frontiers Comput. Neurosci., 2014
Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
2013
Cluster methods for assessing research performance: exploring Spanish computer science.
Scientometrics, 2013
Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000-2009.
Scientometrics, 2013
Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks - A Case Study for the Optimal Ordering of Tables.
J. Comput. Sci. Technol., 2013
A review on evolutionary algorithms in Bayesian network learning and inference tasks.
Inf. Sci., 2013
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data.
Inf. Sci., 2013
Neurocomputing, 2013
Int. J. Comput. Intell. Syst., 2013
An L<sub>1</sub>-Regularized naïVE Bayes-Inspired Classifier for Discarding Redundant and Irrelevant Predictors.
Int. J. Artif. Intell. Tools, 2013
Appl. Soft Comput., 2013
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers.
Artif. Intell. Medicine, 2013
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.
Artif. Intell. Medicine, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
Proceedings of the Advances in Artificial Intelligence, 2013
Proceedings of the Artificial Intelligence in Medicine, 2013
2012
Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39).
J. Biomed. Informatics, 2012
Intell. Data Anal., 2012
J. Heuristics, 2012
Comput. Methods Programs Biomed., 2012
Regularized logistic regression and multiobjective variable selection for classifying MEG data.
Biol. Cybern., 2012
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals.
Scientometrics, 2011
Neuroinformatics, 2011
Neuroinformatics, 2011
Int. J. Approx. Reason., 2011
Intell. Data Anal., 2011
Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms.
J. Heuristics, 2011
Regularized logistic regression without a penalty term: An application to cancer classification with microarray data.
Expert Syst. Appl., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the IJCAI 2011, 2011
Quantitative genetics in multi-objective optimization algorithms: from useful insights to effective methods.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Multi-objective Optimization with Joint Probabilistic Modeling of Objectives and Variables.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables.
Expert Syst. Appl., 2010
Modeling challenges with influence diagrams: Constructing probability and utility models.
Decis. Support Syst., 2010
Synergies between Network-Based Representation and Probabilistic Graphical Models for Classification, Inference and Optimization Problems in Neuroscience.
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models.
Proceedings of the Evolutionary Computation, 2010
Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Comparison of Bayesian networks and artificial neural networks for quality detection in a machining process.
Expert Syst. Appl., 2009
Predicting citation count of <i>Bioinformatics</i> papers within four years of publication.
Bioinform., 2009
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
2008
Int. J. Syst. Sci., 2008
Decis. Support Syst., 2008
BioData Min., 2008
2006
J. Oper. Res. Soc., 2006
2005
Eur. J. Oper. Res., 2005
2004
Stat. Comput., 2004
2003
Proceedings of the Research and Development in Intelligent Systems XX, 2003
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Inferentially Efficient Propagation in Non-Decomposable Bayesian Network with Hierarchical Junction Trees.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Proceedings of the Medical Data Analysis, Second International Symposium, 2001
2000
Structural, elicitation and computational issues faced when solving complex decision making problems with influence diagrams.
Comput. Oper. Res., 2000
1999
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999
1996
PhD thesis, 1996