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Neighborhood-Based Stopping Criterion for Contrastive Divergence

IEEE transaction on neural networks and learning systems, 2018-07, Vol.29 (7), p.2695-2704

2018

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IEEE_Xplore

Weighted contrastive divergence

Neural networks, 2019-06, Vol.114, p.147-156

2019

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ECG assessment based on neural networks with pretraining

Applied soft computing, 2016-12, Vol.49, p.399-406

2016

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Modeling perceptual categories of parametric musical systems

Pattern recognition letters, 2018-04, Vol.105, p.217-225

2018

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Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks

Expert systems with applications, 2014-09, Vol.41 (11), p.5296-5307

2014

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Using machine learning tools for protein database biocuration assistance

Scientific reports, 2018-07, Vol.8 (1), p.10148-10, Article 10148

2018

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Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks

Neural networks, 2012, Vol.25 (1), p.122-129

2012

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Sepsis mortality prediction with the Quotient Basis Kernel

Artificial intelligence in medicine, 2014-05, Vol.61 (1), p.45-52

2014

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Charting Perceptual Spaces with Fuzzy Rules

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019, p.1-6

2019

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Benchmarking the selection of the hidden-layer weights in extreme learning machines

2017 International Joint Conference on Neural Networks (IJCNN), 2017, p.1607-1614

Romero, Enrique

2017

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IEEE_Xplore

A Fuzzy Rule Model for High Level Musical Features on Automated Composition Systems

The Musical-Mathematical Mind, 2017, p.243-251

2017

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Screening Dyslexia for English Using HCI Measures and Machine Learning

Proceedings of the 2018 International Conference on Digital Health, 2018, p.80-84

2018

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The neural network as a predictor of cancer in patients with inflammatory myopathies

Arthritis and rheumatism, 2002-09, Vol.46 (9), p.2547-2548

2002

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A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration

2016 IEEE Congress on Evolutionary Computation (CEC), 2016, p.1317-1323

2016

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A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015, p.1-8

2015

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Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009, Vol.2009, p.4343-4346

2009

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Assessment of electrocardiograms with pretraining and shallow networks

2014

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Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors

2008 Seventh International Conference on Machine Learning and Applications, 2008, p.613-618

2008

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IEEE_Xplore

Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database

Bio-Inspired Systems: Computational and Ambient Intelligence, 2009, p.1013-1020

2009

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Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset

Knowledge-Based Intelligent Information and Engineering Systems, 2008, Vol.5178, p.189-196

2008

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Arthritis and rheumatism, 2003-04, Vol.48 (4), p.1169-1170

2003

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Reply

Arthritis and rheumatism, 2003-04, Vol.48 (4), p.1169-1170

2003

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Use of an artificial neural network to predict cancer development in patients with inflammatory myopathy: Comment on the letter by Selva O'Callaghan et al

Arthritis and rheumatism, 2003-04, Vol.48 (4), p.1168-1169

2003

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Determining disinfection efficiency on E. faecalis in saltwater by photolysis of H2O2: Implications for ballast water treatment

Chemical engineering journal (Lausanne, Switzerland : 1996), 2016-01, Vol.283, p.1339-1348

2016

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Application of persulfate salts for enhancing UV disinfection in marine waters

Water research (Oxford), 2019-10, Vol.163, p.114866, Article 114866

2019

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Neighborhood-Based Stopping Criterion for Contrastive Divergence

Weighted contrastive divergence

ECG assessment based on neural networks with pretraining

Modeling perceptual categories of parametric musical systems

Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks

Using machine learning tools for protein database biocuration assistance

Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks

Sepsis mortality prediction with the Quotient Basis Kernel

Charting Perceptual Spaces with Fuzzy Rules

Benchmarking the selection of the hidden-layer weights in extreme learning machines

A Fuzzy Rule Model for High Level Musical Features on Automated Composition Systems

Screening Dyslexia for English Using HCI Measures and Machine Learning

The neural network as a predictor of cancer in patients with inflammatory myopathies

A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration

A Fuzzy Inductive approach for rule-based modelling of high level structures in algorithmic composition systems

Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks

Assessment of electrocardiograms with pretraining and shallow networks

Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors

Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database

Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset

Reply

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Use of an artificial neural network to predict cancer development in patients with inflammatory myopathy: Comment on the letter by Selva O'Callaghan et al

Determining disinfection efficiency on E. faecalis in saltwater by photolysis of H2O2: Implications for ballast water treatment

Application of persulfate salts for enhancing UV disinfection in marine waters

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