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Crosslinker concentration effect on the poroviscoelastic relaxation of polyacrylamide hydrogels using depth-sensing indentation

Polymer testing, 2021-08, Vol.100, p.107265, Article 107265

2021

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Evolutionary artificial neural networks for accurate solar radiation prediction

Energy (Oxford), 2020-11, Vol.210, p.118374, Article 118374

2020

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Maternal genetic effects throughout the life of the dam in Pirenaica beef cattle. a random regression model approach

Animal (Cambridge, England), 2024-07, Vol.18 (7), p.101206, Article 101206

2024

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Multi-task learning for the prediction of wind power ramp events with deep neural networks

Neural networks, 2020-03, Vol.123, p.401-411

2020

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New models for donor-recipient matching in lung transplantations

PloS one, 2021-06, Vol.16 (6), p.e0252148-e0252148

2021

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Superhydrophobic substrates allow the generation of giant quasi-static bubbles

Journal of fluid mechanics, 2021-02, Vol.912, Article A25

2021

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Mechanical characterisation of hydrophobic and hydrophilic acrylates used in intraocular lenses through depth sensing indentation

Journal of the mechanical behavior of biomedical materials, 2022-02, Vol.126, p.104997-104997, Article 104997

2022

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Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature

International journal of refrigeration, 2019-04, Vol.100, p.434-442

2019

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Leucoencefalopatía multifocal progresiva en paciente con lupus eritematoso sistémico: ¿podría ser la linfocitopenia-CD4+ el principal factor de riesgo?

Neurología (Barcelona, Spain), 2020-11, Vol.35 (9), p.667-669

2020

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Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

Atmospheric research, 2020-05, Vol.236, p.104798, Article 104798

2020

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PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis

Neural processing letters, 2013-06, Vol.37 (3), p.377-392

2013

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Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Energy (Oxford), 2018-02, Vol.144, p.110-119

2018

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Year clustering analysis for modelling olive flowering phenology

International journal of biometeorology, 2013-07, Vol.57 (4), p.545-555

2013

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Progressive multifocal leukoencephalopathy in a patient with systemic lupus erythematosus: Could CD4+ lymphopenia be the main risk factor?

Neurología (Barcelona, English ed. ), 2020-11, Vol.35 (9), p.667-669

2020

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Semi-supervised learning for ordinal Kernel Discriminant Analysis

Neural networks, 2016-12, Vol.84, p.57-66

2016

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CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

The Journal of artificial intelligence research, 2005-01, Vol.24, p.1-48

2005

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Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

Neural processing letters, 2020-08, Vol.52 (1), p.57-74

2020

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Exploitation of Pairwise Class Distances for Ordinal Classification

Neural computation, 2013-09, Vol.25 (9), p.2450-2485

2013

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Time series forecasting by recurrent product unit neural networks

Neural computing & applications, 2018-02, Vol.29 (3), p.779-791

2018

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Impact of acid mine drainages on surficial waters of an abandoned mining site

Environmental science and pollution research international, 2016-04, Vol.23 (7), p.6014-6023

2016

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Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks

Intelligent Data Engineering and Automated Learning – IDEAL 2018, p.180-187

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Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis

Livestock science, 2015-10, Vol.180, p.14-21

2015

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Incidence of contrast-induced nephropathy after a computed tomography scan

Radiología (English ed.), 2021-07, Vol.63 (4), p.307-313

2021

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A multi-objective neural network based method for cover crop identification from remote sensed data

Expert systems with applications, 2012-09, Vol.39 (11), p.10038-10048

2012

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Multilogistic regression by means of evolutionary product-unit neural networks

Neural networks, 2008-09, Vol.21 (7), p.951-961

2008

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Crosslinker concentration effect on the poroviscoelastic relaxation of polyacrylamide hydrogels using depth-sensing indentation

Evolutionary artificial neural networks for accurate solar radiation prediction

Maternal genetic effects throughout the life of the dam in Pirenaica beef cattle. a random regression model approach

Multi-task learning for the prediction of wind power ramp events with deep neural networks

New models for donor-recipient matching in lung transplantations

Superhydrophobic substrates allow the generation of giant quasi-static bubbles

Mechanical characterisation of hydrophobic and hydrophilic acrylates used in intraocular lenses through depth sensing indentation

Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature

Leucoencefalopatía multifocal progresiva en paciente con lupus eritematoso sistémico: ¿podría ser la linfocitopenia-CD4+ el principal factor de riesgo?

Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport

PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis

Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Year clustering analysis for modelling olive flowering phenology

Progressive multifocal leukoencephalopathy in a patient with systemic lupus erythematosus: Could CD4+ lymphopenia be the main risk factor?

Semi-supervised learning for ordinal Kernel Discriminant Analysis

CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

Exploitation of Pairwise Class Distances for Ordinal Classification

Time series forecasting by recurrent product unit neural networks

Impact of acid mine drainages on surficial waters of an abandoned mining site

Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks

Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis

Incidence of contrast-induced nephropathy after a computed tomography scan

A multi-objective neural network based method for cover crop identification from remote sensed data

Multilogistic regression by means of evolutionary product-unit neural networks

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