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Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting

Transportation research. Part E, Logistics and transportation review, 2014-07, Vol.67, p.1-13

2014

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Origin–Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model

Journal of urban planning and development, 2021-12, Vol.147 (4)

2021

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A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

Neural computing & applications, 2021-04, Vol.33 (7), p.2369-2391

2021

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A two-stage procedure for forecasting freight inspections at Border Inspection Posts using SOMs and support vector regression

International journal of production research, 2015-04, Vol.53 (7), p.2119-2130

2015

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Characterization of pitting corrosion of stainless steel using artificial neural networks

Materials and corrosion, 2015-10, Vol.66 (10), p.1084-1091

2015

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An artificial neural network ensemble approach to generate air pollution maps

Environmental monitoring and assessment, 2019-12, Vol.191 (12), p.727-15, Article 727

2019

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A comprehensive approach based on SVM to model pitting corrosion behaviour of EN 1.4404 stainless steel

Materials and corrosion, 2014-10, Vol.65 (10), p.1024-1032

2014

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Pitting corrosion behaviour modelling of stainless steel with support vector machines

Materials and corrosion, 2015-09, Vol.66 (9), p.915-924

2015

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Forecasting air pollutants using classification models: a case study in the Bay of Algeciras (Spain)

Stochastic environmental research and risk assessment, 2023-11, Vol.37 (11), p.4359-4383

2023

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Biclustering of expression data with evolutionary computation

IEEE transactions on knowledge and data engineering, 2006-05, Vol.18 (5), p.590-602

2006

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Shifting and scaling patterns from gene expression data

Bioinformatics, 2005-10, Vol.21 (20), p.3840-3845

AGUILAR-RUIZ, Jesus S

2005

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A novel three-step procedure to forecast the inspection volume

Transportation research. Part C, Emerging technologies, 2015-07, Vol.56, p.393-414

2015

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Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches

Expert systems with applications, 2012-09, Vol.39 (12), p.11094-11102

2012

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Impact of erosion in the taluses of subtropical orchard terraces

Agriculture, ecosystems & environment, 2005-05, Vol.107 (2), p.199-210

2005

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Kinetic Modeling of Cd(II) and Pb(II) Biosorption from Aqueous Solution by Inactive Biomass of Nannochloropsisoculata Microalgae

Water, air, and soil pollution, 2022-06, Vol.233 (6)

2022

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Discovery of motifs to forecast outlier occurrence in time series

Pattern recognition letters, 2011-09, Vol.32 (12), p.1652-1665

2011

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Deep neural networks architecture driven by problem-specific information

Neural computing & applications, 2021-08, Vol.33 (15), p.9403-9423

2021

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An evolutionary approach to estimating software development projects

Information and software technology, 2001-12, Vol.43 (14), p.875-882

2001

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Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume

Hybrid Artificial Intelligence Systems, p.502-514

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Searching for rules to detect defective modules: A subgroup discovery approach

Information sciences, 2012-05, Vol.191, p.14-30

2012

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Evolutionary learning of hierarchical decision rules

IEEE transactions on cybernetics, 2003-04, Vol.33 (2), p.324-331

2003

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Knowledge-based fast evaluation for evolutionary learning

IEEE transactions on human-machine systems, 2005-05, Vol.35 (2), p.254-261

2005

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Attribute Selection in Software Engineering Datasets for Detecting Fault Modules

33rd EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO 2007), 2007, p.418-423

2007

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Gene association analysis: a survey of frequent pattern mining from gene expression data

Briefings in bioinformatics, 2010-03, Vol.11 (2), p.210-224

2010

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Hyperspectral technology for oil spills characterisation by using feature selection

Transportation research procedia (Online), 2023, Vol.71, p.117-123

2023

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Hybrid approaches based on SARIMA and artificial neural networks for inspection time series forecasting

Origin–Destination Matrix Estimation and Prediction from Socioeconomic Variables Using Automatic Feature Selection Procedure-Based Machine Learning Model

A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

A two-stage procedure for forecasting freight inspections at Border Inspection Posts using SOMs and support vector regression

Characterization of pitting corrosion of stainless steel using artificial neural networks

An artificial neural network ensemble approach to generate air pollution maps

A comprehensive approach based on SVM to model pitting corrosion behaviour of EN 1.4404 stainless steel

Pitting corrosion behaviour modelling of stainless steel with support vector machines

Forecasting air pollutants using classification models: a case study in the Bay of Algeciras (Spain)

Biclustering of expression data with evolutionary computation

Shifting and scaling patterns from gene expression data

A novel three-step procedure to forecast the inspection volume

Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches

Impact of erosion in the taluses of subtropical orchard terraces

Kinetic Modeling of Cd(II) and Pb(II) Biosorption from Aqueous Solution by Inactive Biomass of Nannochloropsisoculata Microalgae

Discovery of motifs to forecast outlier occurrence in time series

Deep neural networks architecture driven by problem-specific information

An evolutionary approach to estimating software development projects

Hybrid Approaches of Support Vector Regression and SARIMA Models to Forecast the Inspections Volume

Searching for rules to detect defective modules: A subgroup discovery approach

Evolutionary learning of hierarchical decision rules

Knowledge-based fast evaluation for evolutionary learning

Attribute Selection in Software Engineering Datasets for Detecting Fault Modules

Gene association analysis: a survey of frequent pattern mining from gene expression data

Hyperspectral technology for oil spills characterisation by using feature selection

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