Lista de obras - Pedro Larrañaga - Dominio Público Uruguay

3D morphology-based clustering and simulation of human pyramidal cell dendritic spines

artículo científico publicado en 2018

A Survey of L 1 Regression

artículo científico publicado en 2013

A community-based transcriptomics classification and nomenclature of neocortical cell types

artículo científico publicado en 2020

A comparison of clustering quality indices using outliers and noise

artículo científico publicado en 2012

A new feature extraction method for signal classification applied to cord dorsum potential detection

artículo científico publicado en 2012

A new measure for gene expression biclustering based on non-parametric correlation.

artículo científico publicado en 2013

A partially supervised classification approach to dominant and recessive human disease gene prediction

artículo científico publicado en 2007

A regularity index for dendrites - local statistics of a neuron's input space

scientific article published on 12 November 2018

A review of estimation of distribution algorithms in bioinformatics

artículo científico publicado en 2008

A review of feature selection techniques in bioinformatics

artículo científico publicado en 2007

A review on evolutionary algorithms in Bayesian network learning and inference tasks

artículo científico publicado en 2013

A review on probabilistic graphical models in evolutionary computation

artículo científico publicado en 2012

A survey on multi-output regression

artículo científico publicado en 2015

A univocal definition of the neuronal soma morphology using Gaussian mixture models.

artículo científico publicado en 2015

Adaptive Estimation of Distribution Algorithms

scholarly article published in Studies in Computational Intelligence

Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs

Análisis de la actividad científica de las universidades públicas españolas en el área de las tecnologías informáticas

artículo científico publicado en 2013

Architecture for anomaly detection in a laser heating surface process

Bayesian classification for the selection of in vitro human embryos using morphological and clinical data

artículo científico publicado en 2008

Bayesian classifiers based on kernel density estimation: Flexible classifiers

article published in 2009

Bayesian model averaging of naive Bayes for clustering.

artículo científico publicado en 2006

Bayesian network classifiers for categorizing cortical GABAergic interneurons.

artículo científico publicado en 2015

Bayesian network modeling of the consensus between experts: An application to neuron classification

Bayesian network multi-classifiers for protein secondary structure prediction

artículo científico publicado en 2004

Bayesian networks in neuroscience: a survey

artículo científico publicado en 2014

Bayesian networks to answer challenging neuroscience questions

artículo científico publicado en 2013

Bayesian sparse partial least squares

artículo científico publicado en 2013

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms

Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas.

artículo científico publicado en 2014

Classification of neocortical interneurons using affinity propagation

artículo científico publicado en 2013

Classification of neural signals from sparse autoregressive features

artículo científico publicado en 2013

Classifying GABAergic interneurons with semi-supervised projected model-based clustering.

artículo científico publicado en 2015

Classifying evolving data streams with partially labeled data

artículo científico publicado en 2011

Cluster methods for assessing research performance: exploring Spanish computer science

artículo científico publicado en 2013

Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes

Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains

Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem

Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking

artículo científico publicado en 2014

Comparison between supervised and unsupervised classifications of neuronal cell types: a case study ⬇️

artículo científico publicado en 2011

Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data

artículo científico publicado en 2013

Component weighting functions for adaptive search with EDAs

Conditional Density Approximations with Mixtures of Polynomials

artículo científico publicado en 2014

Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models

artículo científico publicado en 2012

Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals

artículo científico publicado en 2014

Data Publications Correlate with Citation Impact

artículo científico publicado en 2016

Data mining in genomics and proteomics

Data mining validation of fluconazole breakpoints established by the European Committee on Antimicrobial Susceptibility Testing

artículo científico publicado en 2009

Decision functions for chain classifiers based on Bayesian networks for multi-label classification

artículo científico publicado en 2016

Dendritic and Axonal Wiring Optimization of Cortical GABAergic Interneurons

artículo científico publicado en 2016

Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex.

artículo científico publicado en 2016

Dendritic-branching angles of pyramidal neurons of the human cerebral cortex

artículo científico publicado en 2016

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

artículo científico publicado en 2008

Directional naive Bayes classifiers

artículo científico publicado en 2013

Discrete Bayesian Network Classifiers

artículo científico publicado en 2014

Discriminative Learning of Bayesian Network Classifiers

Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment

Editorial

Editorial introduction: special issue on estimation of distribution algorithms.

artículo científico publicado en 2005

Ensemble transcript interaction networks: A case study on Alzheimer's disease ⬇️

artículo científico publicado el 26 de enero de 2012

Estimation of distribution algorithms as logistic regression regularizers of microarray classifiers

artículo científico publicado en 2009

Evaluation by data mining techniques of fluconazole breakpoints established by the Clinical and Laboratory Standards Institute (CLSI) and comparison with those of the European Committee on Antimicrobial Susceptibility Testing (EUCAST)

artículo científico publicado en 2010

Exact Bayesian network learning in estimation of distribution algorithms

Feature Subset Selection by Bayesian network-based optimization

Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS.

artículo científico publicado en 2005

Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms

scholarly article by Iñaki Inza et al published August 2001 in International Journal of Approximate Reasoning

Feature subset selection by genetic algorithms and estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS.

artículo científico publicado en 2001

Feature subset selection from positive and unlabelled examples

scholarly article by Borja Calvo et al published August 2009 in Pattern Recognition Letters

Filter versus wrapper gene selection approaches in DNA microarray domains

artículo científico publicado en 2004

Frobenius Norm Regularization for the Multivariate Von Mises Distribution

GENE SELECTION FOR CANCER CLASSIFICATION USING WRAPPER APPROACHES

article

Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices

Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks.

artículo científico publicado en 2005

Identification of a biomarker panel for colorectal cancer diagnosis.

artículo científico publicado en 2012

Inexact graph matching by means of estimation of distribution algorithms

Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms

scholarly article by Roberto Marcondes César Júnior et al published November 2005 in Pattern Recognition

Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering.

artículo científico publicado en 2008

Interval-based ranking in noisy evolutionary multi-objective optimization

artículo científico publicado en 2014

LEARNING BAYESIAN NETWORKS IN THE SPACE OF ORDERINGS WITH ESTIMATION OF DISTRIBUTION ALGORITHMS

Laminar Differences in Dendritic Structure of Pyramidal Neurons in the Juvenile Rat Somatosensory Cortex.

artículo científico publicado en 2016

Lazy lasso for local regression

artículo científico publicado en 2011

Learning Bayesian classifiers from positive and unlabeled examples

Learning Bayesian networks in the space of structures by estimation of distribution algorithms

Learning Bayesian networks with low inference complexity

Learning an L1-regularized Gaussian Bayesian network in the equivalence class space

artículo científico publicado en 2010

Learning factorizations in estimation of distribution algorithms using affinity propagation.

artículo científico publicado en 2010

Learning mixtures of polynomials of multidimensional probability densities from data using B-spline interpolation

artículo científico publicado en 2014

Machine Learning-based CPS for Clustering High throughput Machining Cycle Conditions

scholarly article published 2017

Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery

artículo científico publicado en 2013

Machine learning in bioinformatics

artículo científico publicado en 2006

Machine learning: an indispensable tool in bioinformatics

artículo científico publicado en 2010

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).

artículo científico publicado en 2012

Microarray analysis of autoimmune diseases by machine learning procedures.

artículo científico publicado en 2009

Mining Concept-Drifting Data Streams Containing Labeled and Unlabeled Instances

article by Hanen Borchani et al published 2010 in Lecture Notes in Computer Science

Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers

article published in 2016

Mining probabilistic models learned by EDAs in the optimization of multi-objective problems

Models and simulation of 3D neuronal dendritic trees using Bayesian networks

artículo científico publicado en 2011

Mouse p53-deficient cancer models as platforms for obtaining genomic predictors of human cancer clinical outcomes

artículo científico publicado en 2012

Multi-Dimensional Classification with Super-Classes

artículo científico publicado en 2014

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty.

artículo científico publicado en 2014

Multi-dimensional classification with Bayesian networks

artículo científico publicado en 2011

Multi-label classification with Bayesian network-based chain classifiers

artículo científico publicado en 2014

MultiMap: A Tool to Automatically Extract and Analyse Spatial Microscopic Data From Large Stacks of Confocal Microscopy Images.

artículo científico publicado en 2018

Multidimensional statistical analysis of the parameterization of a genetic algorithm for the optimal ordering of tables

artículo científico publicado en 2010

Multiobjective Estimation of Distribution Algorithm Based on Joint Modeling of Objectives and Variables

artículo científico publicado en 2014

Network design through forests with degree- and role-constrained minimum spanning trees

article by Laura Anton-Sanchez et al published 25 January 2017 in Journal of Heuristics

Network measures for information extraction in evolutionary algorithms

New insights into the classification and nomenclature of cortical GABAergic interneurons

artículo científico publicado en 2013

On nonlinearity in neural encoding models applied to the primary visual cortex ⬇️

artículo científico publicado el 1 de enero de 2011

Optimal row and column ordering to improve table interpretation using estimation of distribution algorithms

artículo científico publicado en 2010

Optimizing brain networks topologies using multi-objective evolutionary computation

artículo científico publicado en 2011

Optimizing logistic regression coefficients for discrimination and calibration using estimation of distribution algorithms

PREDICTING THE EQ-5D FROM THE PARKINSON'S DISEASE QUESTIONNAIRE PDQ-8 USING MULTI-DIMENSIONAL BAYESIAN NETWORK CLASSIFIERS

artículo científico publicado en 2014

Parameter Control of Genetic Algorithms by Learning and Simulation of Bayesian Networks — A Case Study for the Optimal Ordering of Tables

artículo científico publicado en 2013

Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms

artículo científico publicado en 2017

Patterns of dendritic basal field orientation of pyramidal neurons in the rat somatosensory cortex

scientific article published on 01 November 2018

Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms.

artículo científico publicado en 2011

Predicting citation count of Bioinformatics papers within four years of publication

artículo científico publicado en 2009

Predicting dementia development in Parkinson's disease using Bayesian network classifiers

artículo científico publicado en 2012

Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers

artículo científico publicado en 2013

Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches

artículo científico publicado en 1998

Predicting the h-index with cost-sensitive naive Bayes

artículo científico publicado en 2011

Prioritization of candidate cancer genes--an aid to oncogenomic studies

artículo científico publicado en 2008

Random positions of dendritic spines in human cerebral cortex

artículo científico publicado en 2014

Regularized Multivariate von Mises Distribution

artículo científico publicado en 2015

Regularized continuous estimation of distribution algorithms

artículo científico publicado en 2013

Regularized logistic regression and multiobjective variable selection for classifying MEG data

artículo científico publicado en 2012

Regularized logistic regression without a penalty term: An application to cancer classification with microarray data

artículo científico publicado en 2011

Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000–2009

artículo científico publicado en 2012

Representing the behaviour of supervised classification learning algorithms by Bayesian networks

Research topics in discrete estimation of distribution algorithms based on factorizations

scholarly article by Roberto Santana et al published 12 December 2008 in Memetic Computing

Selection of human embryos for transfer by Bayesian classifiers

artículo científico publicado en 2008

Semi-supervised Projected Clustering for Classifying GABAergic Interneurons

Semi-supervised projected model-based clustering

artículo científico publicado en 2013

Side chain placement using estimation of distribution algorithms.

artículo científico publicado en 2006

Sparse regularized local regression

artículo científico publicado en 2013

Structure of the high-order Boltzmann machine from independence maps.

artículo científico publicado en 1997

Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes

Synergies between evolutionary computation and probabilistic graphical models

The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks

The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer's Disease.

artículo científico publicado en 2015

Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis.

artículo científico publicado en 2014

Three-dimensional spatial distribution of synapses in the neocortex: a dual-beam electron microscopy study

artículo científico publicado en 2013

Three-dimensional spatial modeling of spines along dendritic networks in human cortical pyramidal neurons.

artículo científico publicado en 2017

Towards Gaussian Bayesian Network Fusion

artículo científico publicado en 2015

Towards a supervised classification of neocortical interneuron morphologies

scientific article published on 17 December 2018

Tractability of most probable explanations in multidimensional Bayesian network classifiers

Tree-Structured Bayesian Networks for Wrapped Cauchy Directional Distributions

Triangulation of Bayesian networks with recursive estimation of distribution algorithms

Univariate and bivariate truncated von Mises distributions

scientific paper

Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach

artículo científico publicado en 2013

Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data.

artículo científico publicado en 2001

Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals

artículo científico publicado en 2011

What is behind a summary-evaluation decision?

artículo científico publicado en 2008

Wiring Economy of Pyramidal Cells in the Juvenile Rat Somatosensory Cortex

artículo científico publicado en 2016

Lista de obras de Pedro Larrañaga

3D morphology-based clustering and simulation of human pyramidal cell dendritic spines

A Survey of L 1 Regression

A community-based transcriptomics classification and nomenclature of neocortical cell types

A comparison of clustering quality indices using outliers and noise

A new feature extraction method for signal classification applied to cord dorsum potential detection

A new measure for gene expression biclustering based on non-parametric correlation.

A partially supervised classification approach to dominant and recessive human disease gene prediction

A regularity index for dendrites - local statistics of a neuron's input space

A review of estimation of distribution algorithms in bioinformatics

A review of feature selection techniques in bioinformatics

A review on evolutionary algorithms in Bayesian network learning and inference tasks

A review on probabilistic graphical models in evolutionary computation

A survey on multi-output regression

A univocal definition of the neuronal soma morphology using Gaussian mixture models.

Adaptive Estimation of Distribution Algorithms

Adding Probabilistic Dependencies to the Search of Protein Side Chain Configurations Using EDAs

Análisis de la actividad científica de las universidades públicas españolas en el área de las tecnologías informáticas

Architecture for anomaly detection in a laser heating surface process

Bayesian classification for the selection of in vitro human embryos using morphological and clinical data

Bayesian classifiers based on kernel density estimation: Flexible classifiers

Bayesian model averaging of naive Bayes for clustering.

Bayesian network classifiers for categorizing cortical GABAergic interneurons.

Bayesian network modeling of the consensus between experts: An application to neuron classification

Bayesian network multi-classifiers for protein secondary structure prediction

Bayesian networks in neuroscience: a survey

Bayesian networks to answer challenging neuroscience questions

Bayesian sparse partial least squares

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms

Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas.

Classification of neocortical interneurons using affinity propagation

Classification of neural signals from sparse autoregressive features

Classifying GABAergic interneurons with semi-supervised projected model-based clustering.

Classifying evolving data streams with partially labeled data

Cluster methods for assessing research performance: exploring Spanish computer science

Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes

Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains

Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem

Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking

Comparison between supervised and unsupervised classifications of neuronal cell types: a case study ⬇️

Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data

Component weighting functions for adaptive search with EDAs

Conditional Density Approximations with Mixtures of Polynomials

Conductance interaction identification by means of Boltzmann distribution and mutual information analysis in conductance-based neuron models

Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals

Data Publications Correlate with Citation Impact

Data mining in genomics and proteomics

Data mining validation of fluconazole breakpoints established by the European Committee on Antimicrobial Susceptibility Testing

Decision functions for chain classifiers based on Bayesian networks for multi-label classification

Dendritic and Axonal Wiring Optimization of Cortical GABAergic Interneurons

Dendritic branching angles of pyramidal cells across layers of the juvenile rat somatosensory cortex.

Dendritic-branching angles of pyramidal neurons of the human cerebral cortex

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

Directional naive Bayes classifiers

Discrete Bayesian Network Classifiers

Discriminative Learning of Bayesian Network Classifiers

Dynamic Bayesian Network-Based Anomaly Detection for In-Process Visual Inspection of Laser Surface Heat Treatment

Editorial

Editorial introduction: special issue on estimation of distribution algorithms.

Ensemble transcript interaction networks: A case study on Alzheimer's disease ⬇️

Estimation of distribution algorithms as logistic regression regularizers of microarray classifiers

Evaluation by data mining techniques of fluconazole breakpoints established by the Clinical and Laboratory Standards Institute (CLSI) and comparison with those of the European Committee on Antimicrobial Susceptibility Testing (EUCAST)

Exact Bayesian network learning in estimation of distribution algorithms

Feature Subset Selection by Bayesian network-based optimization

Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS.

Feature subset selection by Bayesian networks: a comparison with genetic and sequential algorithms

Feature subset selection by genetic algorithms and estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with TIPS.

Feature subset selection from positive and unlabelled examples

Filter versus wrapper gene selection approaches in DNA microarray domains

Frobenius Norm Regularization for the Multivariate Von Mises Distribution

GENE SELECTION FOR CANCER CLASSIFICATION USING WRAPPER APPROACHES

Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices

Globally multimodal problem optimization via an estimation of distribution algorithm based on unsupervised learning of Bayesian networks.

Identification of a biomarker panel for colorectal cancer diagnosis.

Inexact graph matching by means of estimation of distribution algorithms

Inexact graph matching for model-based recognition: Evaluation and comparison of optimization algorithms

Inference of population structure using genetic markers and a Bayesian model averaging approach for clustering.

Interval-based ranking in noisy evolutionary multi-objective optimization

LEARNING BAYESIAN NETWORKS IN THE SPACE OF ORDERINGS WITH ESTIMATION OF DISTRIBUTION ALGORITHMS

Laminar Differences in Dendritic Structure of Pyramidal Neurons in the Juvenile Rat Somatosensory Cortex.