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A survey on multi-output regression

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2015-09, Vol.5 (5), p.216-233

2015

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

IEEE internet of things journal, 2018-10, Vol.5 (5), p.3533-3547

2018

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Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks

PLoS computational biology, 2023-12, Vol.19 (12), p.e1011443-e1011443

2023

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A Survey of L1 Regression

International statistical review, 2013-12, Vol.81 (3), p.361-387

2013

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Multi-dimensional Bayesian network classifiers: A survey

The Artificial intelligence review, 2021, Vol.54 (1), p.519-559

2021

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

Information sciences, 2013-06, Vol.233, p.109-125

2013

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Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering

Scientific reports, 2021-12, Vol.11 (1), p.23645-23645, Article 23645

2021

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Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks

International journal of intelligent systems, 2022-11, Vol.37 (11), p.9108-9137

2022

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Efficient Anomaly Detection in a Laser-Surface Heat-Treatment Process via Laser-Spot Tracking

IEEE/ASME transactions on mechatronics, 2021-02, Vol.26 (1), p.405-415

2021

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Multipartition clustering of mixed data with Bayesian networks

International journal of intelligent systems, 2022-03, Vol.37 (3), p.2188-2218

2022

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

Frontiers in aging neuroscience, 2017-09, Vol.9, p.301-301

2017

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Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables

Journal of combinatorial optimization, 2022-09, Vol.44 (2), p.1077-1098

2022

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RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools

Frontiers in neuroinformatics, 2023-02, Vol.17

2023

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Hybrid semiparametric Bayesian networks

Test (Madrid, Spain), 2022-06, Vol.31 (2), p.299-327

2022

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Comparing basal dendrite branches in human and mouse hippocampal CA1 pyramidal neurons with Bayesian networks

Scientific reports, 2020-10, Vol.10 (1), p.18592-18592, Article 18592

2020

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Multidimensional continuous time Bayesian network classifiers

International journal of intelligent systems, 2021-12, Vol.36 (12), p.7839-7866

2021

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Comparing the Electrophysiology and Morphology of Human and Mouse Layer 2/3 Pyramidal Neurons With Bayesian Networks

Frontiers in neuroinformatics, 2021-02, Vol.15, p.580873-580873

2021

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Rejoinder on: Hybrid semiparametric Bayesian networks

Test (Madrid, Spain), 2022-06, Vol.31 (2), p.344-347

2022

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Towards a supervised classification of neocortical interneuron morphologies

BMC bioinformatics, 2018-12, Vol.19 (1), p.511-511, Article 511

2018

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

PLoS computational biology, 2018-06, Vol.14 (6), p.e1006221-e1006221

2018

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Patient specific prediction of temporal lobe epilepsy surgical outcomes

Epilepsia (Copenhagen), 2021-09, Vol.62 (9), p.2113-2122

2021

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Predicting citation count of Bioinformatics papers within four years of publication

Bioinformatics, 2009-12, Vol.25 (24), p.3303-3309

2009

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Explainable Machine Learning for Longitudinal Multi-Omic Microbiome

Mathematics (Basel), 2022-06, Vol.10 (12), p.1994

2022

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Machine learning in bioinformatics

Briefings in bioinformatics, 2006-03, Vol.7 (1), p.86-112

2006

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Asymmetric HMMs for Online Ball-Bearing Health Assessments

IEEE internet of things journal, 2022-10, Vol.9 (20), p.20160-20177

2022

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A survey on multi-output regression

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

Learning massive interpretable gene regulatory networks of the human brain by merging Bayesian networks

A Survey of L1 Regression

Multi-dimensional Bayesian network classifiers: A survey

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

Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering

Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks

Efficient Anomaly Detection in a Laser-Surface Heat-Treatment Process via Laser-Spot Tracking

Multipartition clustering of mixed data with Bayesian networks

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

Estimation of distribution algorithms using Gaussian Bayesian networks to solve industrial optimization problems constrained by environment variables

RETRACTED: NeuroSuites: An online platform for running neuroscience, statistical, and machine learning tools

Hybrid semiparametric Bayesian networks

Comparing basal dendrite branches in human and mouse hippocampal CA1 pyramidal neurons with Bayesian networks

Multidimensional continuous time Bayesian network classifiers

Comparing the Electrophysiology and Morphology of Human and Mouse Layer 2/3 Pyramidal Neurons With Bayesian Networks

Rejoinder on: Hybrid semiparametric Bayesian networks

Towards a supervised classification of neocortical interneuron morphologies

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

Patient specific prediction of temporal lobe epilepsy surgical outcomes

Predicting citation count of Bioinformatics papers within four years of publication

Explainable Machine Learning for Longitudinal Multi-Omic Microbiome

Machine learning in bioinformatics

Asymmetric HMMs for Online Ball-Bearing Health Assessments

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