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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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Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

Neurocomputing (Amsterdam), 2014-07, Vol.135, p.21-31

2014

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Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Neural networks, 2011-09, Vol.24 (7), p.779-784

2011

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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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Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal–ordinal support vector classifier

Engineering applications of artificial intelligence, 2014-09, Vol.34, p.199-207

2014

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Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques

Water (Basel), 2020-06, Vol.12 (6), p.1528

2020

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Classification of EU countries’ progress towards sustainable development based on ordinal regression techniques

Knowledge-based systems, 2014-08, Vol.66, p.178-189

2014

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Noise prediction of a diesel engine fueled with olive pomace oil methyl ester blended with diesel fuel

Fuel (Guildford), 2012-08, Vol.98, p.280-287

2012

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Deconstructing the eradication of new world screwworm in North America: retrospective analysis and climate warming effects

Medical and veterinary entomology, 2019-06, Vol.33 (2), p.282-295

2019

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Potential of genomic selection for improvement of resistance to ostreid herpesvirus in Pacific oyster (Crassostrea gigas)

Animal genetics, 2020-03, Vol.51 (2), p.249-257

2020

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Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises

Omega (Oxford), 2010-10, Vol.38 (5), p.333-344

2010

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Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks

Renewable energy, 2022-01, Vol.184, p.975-989

2022

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A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment

Neural processing letters, 2016-10, Vol.44 (2), p.491-517

2016

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Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data

Computers and electronics in agriculture, 2008-12, Vol.64 (2), p.293-306

2008

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An epidemiological model of East Coast Fever in African livestock

Ecological modelling, 2009-07, Vol.220 (13), p.1652-1662

2009

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Prediction of low-visibility events due to fog using ordinal classification

Atmospheric research, 2018-12, Vol.214, p.64-73

2018

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Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods

Expert systems with applications, 2012-07, Vol.39 (9), p.8350-8355

2012

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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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Physiological basis of ratio-dependent predator-prey theory: the metabolic pool model as a paradigm

Ecology (Durham), 1992-10, Vol.73 (5), p.1552-1563

Gutierrez, A. P.

1992

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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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A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Knowledge-based systems, 2024-05, Vol.291, p.111556, Article 111556

2024

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Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

Neural computing & applications, 2012-07, Vol.21 (5), p.993-1005

2012

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Significant wave height and energy flux range forecast with machine learning classifiers

Engineering applications of artificial intelligence, 2015-08, Vol.43, p.44-53

2015

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Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying evolutionary product unit neural networks to remote sensed data

Computers and electronics in agriculture, 2008-03, Vol.60 (2), p.122-132

2008

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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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New models for donor-recipient matching in lung transplantations

Metrics to guide a multi-objective evolutionary algorithm for ordinal classification

Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Semi-supervised learning for ordinal Kernel Discriminant Analysis

Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal–ordinal support vector classifier

Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques

Classification of EU countries’ progress towards sustainable development based on ordinal regression techniques

Noise prediction of a diesel engine fueled with olive pomace oil methyl ester blended with diesel fuel

Deconstructing the eradication of new world screwworm in North America: retrospective analysis and climate warming effects

Potential of genomic selection for improvement of resistance to ostreid herpesvirus in Pacific oyster (Crassostrea gigas)

Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises

Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks

A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment

Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data

An epidemiological model of East Coast Fever in African livestock

Prediction of low-visibility events due to fog using ordinal classification

Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods

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

Physiological basis of ratio-dependent predator-prey theory: the metabolic pool model as a paradigm

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

A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms

Significant wave height and energy flux range forecast with machine learning classifiers

Mapping sunflower yield as affected by Ridolfia segetum patches and elevation by applying evolutionary product unit neural networks to remote sensed data

Evolutionary artificial neural networks for accurate solar radiation prediction

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