Pedro Larrañaga Múgica

发表

Asymmetric Hidden Markov Models with continuous variables

Carlos Puerto Santana, María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, 2018 .

Bayesian Gaussian networks for multidimensional classification of morphologically characterized neurons in the NeuroMorpho repository

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Pablo Fernández González, 2016 .

MATEDA: A suite of EDA programs in Matlab

Concha Bielza, Pedro Larrañaga Múgica, José Antonio Lozano Alonso, 2009 .

Multi-objective optimization with estimation of distribution algorithm in a noisy environment

Pedro Larrañaga Múgica, 2012 .

Anomaly detection with a spatio-temporal tracking of the laser spot

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, David Atienza González, 2016 .

Development of a Cyber-Physical System based on selective Gaussian naive Bayes model for a self-predict laser surface heat treatment process control

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Javier Díaz Rozo, 2015 .

Towards Gaussian Bayesian network fusion

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Irene Córdoba Sánchez, 2015, ECSQARU 2015.

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

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Ruben Armañanzas Arnedillo, 2015 .

Tractability of most probable explanations in multidimensional Bayesian network classifiers

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Marco Alberto Benjumeda Barquita, 2018 .

Learning Bayesian networks with low inference complexity

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Marco Alberto Benjumeda Barquita, 2016 .

Alan Turing and bayesian statistics

Pedro Larrañaga Múgica, Concha Bielza Lozoya, 2012, SOCO 2012.

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

Miguel García Torres, María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, 2013 .

Bounding the complexity of structural expectation-maximization

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Marco Alberto Benjumeda Barquita, 2018, ICML 2018.

Multi-dimensional Bayesian network classifier trees

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Santiago Gil Begue, 2018, IDEAL 2018.

Aprendizaje discriminativo de clasificadores Bayesianos

Pedro Larrañaga Múgica, José Antonio Lozano Alonso, Guzmán Santafé Rodrigo, 2006 .

Architecture for anomaly detection in a laser heating surface process

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Javier Mesonero Pérez, 2017, ETFA 2017.

Learning low inference complexity Bayesian networks

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Marco Alberto Benjumeda Barquita, 2015 .

Bayesian networks in neuroscience

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, M. Lozoya, 2012, PGM 2012.

Clustering of data streams with dynamic Gaussian mixture models: an IoT application in industrial processes

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Javier Díaz Rozo, 2018, IoT 2018.

Dynamic Bayesian network-based anomaly detection for in-process visual inspection of laser surface heat treatment

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Javier Díaz Rozo, 2016 .

Regression models with MoPs Bayesian networks

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Gherardo Varando, 2014 .

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

Pedro Larrañaga Múgica, Ruben Armañanzas Arnedillo, Iñaki Inza Cano, 2008 .

Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Irene Córdoba Sánchez, 2018 .

Machine learning-based CPS for clustering high throughput machine cycle conditions

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Javier Díaz Rozo, 2017 .

Hybrid Gaussian and von Mises model-based clustering

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Sergio Luengo Sánchez, 2016, ECAI 2016.

A new feature extraction method for signal classification applied to cat spinal cord signals

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Erika Elizabeth Rodríguez Torres, 2012 .

Alan Turing y la Neurociencia

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Javier DeFelipe, 2012 .

Multidimensional classifiers for neuroanatomical data

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Pablo Fernández González, 2015, ICML 2015.

A Bayesian network model for linear circular data

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Shogo Kato, 2017 .

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

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Ruben Armañanzas Arnedillo, 2012 .

Evolutionary Computation of Forests with Degree- and Role-constrained Minimum Spanning Trees

María Concepción Bielza Lozoya, Pedro Larrañaga Múgica, Laura Anton-Sanchez, 2015 .