Pedro Larrañaga
Orcid: 0000-0003-0652-9872Affiliations:
- Universidad Politécnica de Madrid, Spain
According to our database1,
Pedro Larrañaga
authored at least 270 papers
between 1993 and 2024.
Collaborative distances:
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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
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
CoRR, 2013
Comput. Methods Programs Biomed., 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
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation.
Evol. Comput., 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
EDA-PSO: A Hybrid Paradigm Combining Estimation of Distribution Algorithms and Particle Swarm Optimization.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010
2009
IEEE Trans. Inf. Technol. Biomed., 2009
Guest Editorial: Special Issue on Evolutionary Algorithms Based on Probabilistic Models.
IEEE Trans. Evol. Comput., 2009
Pattern Recognit. Lett., 2009
Research topics in discrete estimation of distribution algorithms based on factorizations.
Memetic Comput., 2009
Triangulation of Bayesian networks with recursive estimation of distribution algorithms.
Int. J. Approx. Reason., 2009
Int. J. Approx. Reason., 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
Proceedings of the Adaptive and Multilevel Metaheuristics, 2008
The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks.
Proceedings of the Linkage in Evolutionary Computation, 2008
IEEE Trans. Evol. Comput., 2008
Inference of Population Structure Using Genetic Markers and a Bayesian Model Averaging Approach for Clustering.
J. Comput. Biol., 2008
Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem.
J. Heuristics, 2008
Bayesian classification for the selection of in vitro human embryos using morphological and clinical data.
Comput. Methods Programs Biomed., 2008
Comput. Methods Programs Biomed., 2008
Comput. Biol. Medicine, 2008
BioData Min., 2008
Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs.
Proceedings of the Parallel Problem Solving from Nature, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Pattern Recognit. Lett., 2007
Intell. Data Anal., 2007
Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains.
Connect. Sci., 2007
A partially supervised classification approach to dominant and recessive human disease gene prediction.
Comput. Methods Programs Biomed., 2007
Artif. Intell. Medicine, 2007
The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms.
Proceedings of the Evolutionary Computation, 2007
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
IEEE Trans. Syst. Man Cybern. Part B, 2006
Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes.
Int. J. Approx. Reason., 2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Discovery Science, 9th International Conference, 2006
Proceedings of the Towards a New Evolutionary Computation, 2006
Proceedings of the Towards a New Evolutionary Computation, 2006
2005
Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms.
Pattern Recognit., 2005
Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS.
J. Biomed. Informatics, 2005
Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks.
Evol. Comput., 2005
Evol. Comput., 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models.
Proceedings of the Data Analysis and Visualization in Genomics and Proteomics, 2005
2004
Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data Clustering.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004
Learning Bayesian Networks In The Space Of Orderings With Estimation Of Distribution Algorithms.
Int. J. Pattern Recognit. Artif. Intell., 2004
Int. J. Pattern Recognit. Artif. Intell., 2004
Artif. Intell. Medicine, 2004
Artif. Intell. Medicine, 2004
Protein Folding in 2-Dimensional Lattices with Estimation of Distribution Algorithms.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004
GA-EDA: Hybrid Evolutionary Algorithm Using Genetic and Estimation of Distribution Algorithms.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
2003
Learning Bayesian networks in the space of structures by estimation of distribution algorithms.
Int. J. Intell. Syst., 2003
Algoritmos de Estimación de Distribuciones en Problemas de Optimización Combinatoria.
Inteligencia Artif., 2003
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003
Proceedings of the Parallel Processing and Applied Mathematics, 2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Proceedings of the Advances in Intelligent Data Analysis V, 2003
Proceedings of the Progress in Artificial Intelligence, 2003
Proceedings of the Web Intelligence, 2003
2002
Pattern Recognit., 2002
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.
Mach. Learn., 2002
Int. J. Approx. Reason., 2002
Mathematical modelling of UMDA<sub>c</sub> algorithm with tournament selection. Behaviour on linear and quadratic functions.
Int. J. Approx. Reason., 2002
Unsupervised Learning of Bayesian Networks Via Estimation of Distribution Algorithms.
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 Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Partial Abductive Inference in Bayesian Networks: An Empirical Comparison Between GAs and EDAs.
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
Proceedings of the Estimation of Distribution Algorithms, 2002
2001
IEEE Trans. Pattern Anal. Mach. Intell., 2001
Performance evaluation of compromise conditional Gaussian networks for data clustering.
Int. J. Approx. Reason., 2001
Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms.
Int. J. Approx. Reason., 2001
Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data.
Artif. Intell. Medicine, 2001
Feature subset selection by genetic algorithms and estimation of distribution algorithms - A case study in the survival of cirrhotic patients treated with TIPS.
Artif. Intell. Medicine, 2001
Proceedings of the Medical Data Analysis, Second International Symposium, 2001
Estimation of Distribution Algorithms: A New Evolutionary Computation Approach for Graph Matching Problems.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001
Geographical clustering of cancer incidence by means of Bayesian networks and conditional Gaussian networks.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS.
Proceedings of the Artificial Intelligence Medicine, 2001
2000
An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering.
Pattern Recognit. Lett., 2000
Analyzing the Population Based Incremental Learning Algorithm by Means of Discrete Dynamical Systems.
Complex Syst., 2000
Artif. Intell., 2000
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
Proceedings of the Medical Data Analysis, First International Symposium, 2000
Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS.
Proceedings of the Medical Data Analysis, First International Symposium, 2000
1999
Pattern Recognit. Lett., 1999
Pattern Recognit. Lett., 1999
Applying genetic algorithms to search for the best hierarchical clustering of a dataset.
Pattern Recognit. Lett., 1999
Representing the behaviour of supervised classification learning algorithms by Bayesian networks.
Pattern Recognit. Lett., 1999
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators.
Artif. Intell. Rev., 1999
Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999
1998
Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches.
Artif. Intell. Medicine, 1998
Inteligencia Artif., 1998
1997
IEEE Trans. Neural Networks, 1997
Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms.
Stat. Comput., 1997
Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data.
Pattern Recognit. Lett., 1997
Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997
Bayesian Networks, Rule Induction and Logistic Regression in the Prediction of the Survival of Women Suffering from Breast Cancer.
Proceedings of the Progress in Artificial Intelligence, 1997
Learning Bayesisan Networks by Genetic Algorithms: A Case Study in the Prediction of Survival in Malignant Skin Melanoma.
Proceedings of the Artificial Intelligence Medicine, 1997
1996
Learning Bayesian network structures by searching for the best ordering with genetic algorithms.
IEEE Trans. Syst. Man Cybern. Part A, 1996
Structure Learning of Bayesian Networks by Genetic Algorithms: A Performance Analysis of Control Parameters.
IEEE Trans. Pattern Anal. Mach. Intell., 1996
1995
Proceedings of the Learning from Data, 1995
1993
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993
Genetic Algorithms Elitist Probabilistic of Degree 1, a generalization of Simulated Annealing.
Proceedings of the Advances in Artificial Intelligence, 1993