Name
Affiliation
Papers
PEDRO LARRAÑAGA
University of the Basque Country Dept. of Computer Science and Artificial Intelligence P.O. Box 649 E-20080 San Sebastián Spain
196
Collaborators
Citations 
PageRank 
188
3882
208.54
Referers 
Referees 
References 
8191
3531
3136
Search Limit
1001000
Title
Citations
PageRank
Year
PyBNesian: An extensible python package for Bayesian networks00.342022
Semiparametric Bayesian networks10.632022
An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs00.342021
Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding.00.342021
On generating random Gaussian graphical models00.342020
A circular-linear dependence measure under Johnson-Wehrly distributions and its application in Bayesian networks.00.342019
Markov Property in Generative Classifiers.00.342018
A partial orthogonalization method for simulating covariance and concentration graph matrices.00.342018
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks.00.342018
Towards a supervised classification of neocortical interneuron morphologies.00.342018
bnclassify: Learning Bayesian Network Classifiers00.342018
Network design through forests with degree- and role-constrained minimum spanning trees.20.382017
Univariate and bivariate truncated von Mises distributions00.342017
A review of undirected and acyclic directed Gaussian Markov model selection and estimation.00.342016
Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment.10.402016
Anomaly Detection with a Spatio-Temporal Tracking of the Laser Spot.00.342016
Dendritic and Axonal Wiring Optimization of Cortical GABAergic Interneurons.10.382016
Decision functions for chain classifiers based on Bayesian networks for multi-label classification30.382016
Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices20.372016
Interval-based ranking in noisy evolutionary multi-objective optimization40.392015
Decision boundary for discrete Bayesian network classifiers20.382015
Regularized Multivariate von Mises Distribution.00.342015
Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons.50.432015
Development of a Cyber-Physical System based on selective Gaussian naïve Bayes model for a self-predict laser surface heat treatment process control.10.412015
Towards Gaussian Bayesian Network Fusion00.342015
Classifying GABAergic interneurons with semi-supervised projected model-based clustering.30.382015
Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables310.872014
Bayesian networks in neuroscience: a survey.80.472014
Bayesian network modeling of the consensus between experts: An application to neuron classification.140.802014
Multi-Dimensional Classification with Super-Classes130.572014
Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation.50.452014
Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty.30.442014
Learning Mixtures of Polynomials of Conditional Densities from Data.10.362013
Learning Conditional Linear Gaussian Classifiers with Probabilistic Class Labels.10.342013
Cluster methods for assessing research performance: exploring Spanish computer science60.452013
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.60.632013
Augmented Semi-naive Bayes Classifier.00.342013
Towards optimal neuronal wiring through estimation of distribution algorithms10.352013
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers.110.552013
Network measures for information extraction in evolutionary algorithms.70.442013
Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000–2009100.562013
A new measure for gene expression biclustering based on non-parametric correlation150.672013
Regularized continuous estimation of distribution algorithms130.562013
Classification of neural signals from sparse autoregressive features40.432013
Bayesian networks to answer challenging neuroscience questions.00.342013
A review on probabilistic graphical models in evolutionary computation371.002012
Wrapper positive Bayesian network classifiers.00.342012
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).60.442012
Maximizing the number of polychronous groups in spiking networks00.342012
Lazy lasso for local regression40.612012
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