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Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

Food and bioprocess technology, 2013-12, Vol.6 (12), p.3613-3619

2013

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Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

Postharvest biology and technology, 2013-08, Vol.82, p.76-86

2013

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Manual motor speed dysfunction as a neurocognitive endophenotype in euthymic bipolar disorder patients and their healthy relatives. Evidence from a 5-year follow-up study

Journal of affective disorders, 2017-06, Vol.215, p.156-162

2017

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Robust support vector method for hyperspectral data classification and knowledge discovery

IEEE transactions on geoscience and remote sensing, 2004-07, Vol.42 (7), p.1530-1542

2004

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Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay

Food and bioprocess technology, 2014-04, Vol.7 (4), p.1047-1056

2014

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Comment on "Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study"

American journal of neuroradiology : AJNR, 2017-03, Vol.38 (3), p.E21-E21

2017

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Support Vector Machines for Nonlinear Kernel ARMA System Identification

IEEE transaction on neural networks and learning systems, 2006-11, Vol.17 (6), p.1617-1622

2006

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Support vector machines framework for linear signal processing

Signal processing, 2005-12, Vol.85 (12), p.2316-2326

2005

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Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling

Ecological modelling, 2005-03, Vol.182 (2), p.149-158

2005

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BELM: Bayesian Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2011-03, Vol.22 (3), p.505-509

2011

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Effective 1-day ahead prediction of hourly surface ozone concentrations in eastern Spain using linear models and neural networks

Ecological modelling, 2002-10, Vol.156 (1), p.27-41

2002

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A low-complexity fuzzy activation function for artificial neural networks

IEEE transaction on neural networks and learning systems, 2003-11, Vol.14 (6), p.1576-1579

2003

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FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches

IEEE transactions on industrial electronics (1982), 2011-03, Vol.58 (3), p.860-870

2011

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Fuzzy sigmoid kernel for support vector classifiers

Neurocomputing (Amsterdam), 2004-12, Vol.62, p.501-506

2004

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Expert system for predicting unstable angina based on Bayesian networks

Expert systems with applications, 2013-09, Vol.40 (12), p.5004-5010

2013

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Dosage individualization of erythropoietin using a profile-dependent support vector regression

IEEE transactions on biomedical engineering, 2003-10, Vol.50 (10), p.1136-1142

2003

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Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks

IEEE transactions on biomedical engineering, 2003-04, Vol.50 (4), p.442-448

2003

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Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines

IEEE transactions on human-machine systems, 2007-05, Vol.37 (3), p.359-372

2007

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P06-15: Evaluating the impact of molecule properties and structural pharmacokinetic models for predicting cholestasis

Toxicology letters, 2023-09, Vol.384, p.S107-S108

2023

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Robust γ-filter using support vector machines

Neurocomputing (Amsterdam), 2004-12, Vol.62, p.493-499

2004

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Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

Neurocomputing (Amsterdam), 2006-03, Vol.69 (7), p.909-912

2006

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Application of adaptive signal processing for determining the limits of P and T waves in an ECG

IEEE transactions on biomedical engineering, 1998-08, Vol.45 (8), p.1077-1080

1998

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Cyclosporine concentration prediction using clustering and support vector regression methods

Electronics letters, 2002-06, Vol.38 (12), p.568-570

2002

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Support Vector Machines for Crop Classification Using Hyperspectral Data

Lecture notes in computer science, 2003, p.134-141

2003

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Multi-dimensional Function Approximation and Regression Estimation

Artificial Neural Networks — ICANN 2002, 2002, p.757-762

2002

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Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

Manual motor speed dysfunction as a neurocognitive endophenotype in euthymic bipolar disorder patients and their healthy relatives. Evidence from a 5-year follow-up study

Robust support vector method for hyperspectral data classification and knowledge discovery

Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay

Comment on "Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study"

Support Vector Machines for Nonlinear Kernel ARMA System Identification

Support vector machines framework for linear signal processing

Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modelling

BELM: Bayesian Extreme Learning Machine

Effective 1-day ahead prediction of hourly surface ozone concentrations in eastern Spain using linear models and neural networks

A low-complexity fuzzy activation function for artificial neural networks

FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches

Fuzzy sigmoid kernel for support vector classifiers

Expert system for predicting unstable angina based on Bayesian networks

Dosage individualization of erythropoietin using a profile-dependent support vector regression

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines

P06-15: Evaluating the impact of molecule properties and structural pharmacokinetic models for predicting cholestasis

Robust γ-filter using support vector machines

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

Application of adaptive signal processing for determining the limits of P and T waves in an ECG

Cyclosporine concentration prediction using clustering and support vector regression methods

Support Vector Machines for Crop Classification Using Hyperspectral Data

Multi-dimensional Function Approximation and Regression Estimation

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