F. Fernández-Navarro

发表

Development of a multi-classification neural network model to determine the microbial growth/no growth interface.

Pedro Antonio Gutiérrez, C. Hervás-Martínez, G. Zurera-Cosano, 2010, International journal of food microbiology.

Climate tipping points : Detection and analysis of patterns using an ordinal regression approach Final Report

Pedro Antonio Gutiérrez, M. Pérez-Ortiz, C. Hervás-Martínez, 2014 .

Global Sensitivity Estimates for Neural Network Classifiers.

Mariano Carbonero-Ruz, Francisco Fernandez-Navarro, David Becerra Alonso, 2016, IEEE transactions on neural networks and learning systems.

Development and validation of a life skills evaluation tool for online learning based on the framework of the capability approach

E. Barberá, Jingjing Zhang, F. Fernández-Navarro, 2021, Educational Technology Research and Development.

Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2015, Climate Dynamics.

Student Voices on the Roles of Instructors in Asynchronous Learning Environments in the 21st Century

E. Barberá, F. Fernández-Navarro, P. Gómez-Rey, 2017 .

Understanding student evaluations of teaching in online learning

E. Barberá, F. Fernández-Navarro, Mariano Carbonero-Ruz, 2018 .

On the use of evolutionary time series analysis for segmenting paleoclimate data

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2017, Neurocomputing.

Risk Assessment Instruments for Intimate Partner Femicide: A Systematic Review

F. Fernández-Navarro, D. Becerra-Alonso, Nerea Almeda, 2022, Frontiers in Psychology.

A socially responsible consumption index based on non-linear dimensionality reduction and global sensitivity analysis

Francisco Fernández-Navarro, Jose Javier Pérez-Barea, Maria Jose Montero-Simó, 2018, Appl. Soft Comput..

Students' Perceptions about Online Teaching Effectiveness: A Bottom-Up Approach for Identifying Online Instructors' Roles.

E. Barberá, F. Fernández-Navarro, P. Gómez-Rey, 2018 .

A cross-national study of teacher’s perceptions of online learning success

E. Barberá, F. Fernández-Navarro, P. Gómez-Rey, 2016 .

Weighting eﬃcient Accuracy and Minimum Sensitivity for evolving multi-class classiﬁers

F. Fernández-Navarro, A. Pedro, Gutiérrez, 2022 .

Generalised Gaussian radial basis function neural networks

Pedro Antonio Gutiérrez, F. Fernández-Navarro, C. Hervás‐Martínez, 2012, Soft Computing.

A Comprehensive Analysis of Factors Associated with Intimate Partner Femicide: A Systematic Review

F. Fernández-Navarro, D. Becerra-Alonso, Esperanza Garcia-Vergara, 2022, International journal of environmental research and public health.

Regularized ensemble neural networks models in the Extreme Learning Machine framework

Javier Pérez-Rodríguez, Francisco Fernández-Navarro, David Becerra-Alonso, 2019, Neurocomputing.

Enforcement of the principal component analysis–extreme learning machine algorithm by linear discriminant analysis

César Hervás-Martínez, Francisco Fernández-Navarro, Adiel Castaño, 2016, Neural Computing and Applications.

MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neurocomputing.

Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Networks.

A dynamic over-sampling procedure based on sensitivity for multi-class problems

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Pattern Recognit..

COVID-19 impact on the Spanish stock exchange with mean-variance and diversification-based portfolios

L. Martínez-Nieto, F. Fernández-Navarro, Mariano Carbonero-Ruz, 2021, Applied Economics Letters.

Learner support in MOOCs: Identifying variables linked to completion

Jingjing Zhang, Elena Barberà, Francisco Fernández-Navarro, 2018, Comput. Educ..

EduZinc: a tool for the creation and assessment of student learning activities in complex open, online, and flexible learning environments

Elena Barberà, Francisco Fernández-Navarro, David Becerra-Alonso, 2020 .

Towards Digital Sustainability: Profiles of Millennial Reviewers, Reputation Scores and Intrinsic Motivation Matter

F. Fernández-Navarro, J. J. Pérez-Barea, Alejandro García-Jurado, 2021, Sustainability.

Identifying Key Variables on the Way to Wellbeing in the Transition from Face-to-Face to Online Higher Education due to COVID-19: Evidence from the Q-Sort Technique

F. Fernández-Navarro, P. Gómez-Rey, María José Vázquez-De Francisco, 2021 .

Measuring teachers and learners’ perceptions of the quality of their online learning experience

Francisco Fernández-Navarro, Pilar Gómez-Rey, Elena Barbera, 2016 .

Global Sensitivity Estimates for Neural Network Classifiers

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Mercedes Torres-Jiménez, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Negative Correlation Hidden Layer for the Extreme Learning Machine

Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, 2021, Appl. Soft Comput..

Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach

César Hervás-Martínez, Xin Yao, Francisco Fernández-Navarro, 2013, IEEE Transactions on Cybernetics.

Ordinal Regression Methods: Survey and Experimental Study

Pedro Antonio Gutiérrez, Maria Perez-Ortiz, Javier Sanchez-Monedero, 2016, IEEE Transactions on Knowledge and Data Engineering.

Cost-Sensitive AdaBoost Algorithm for Ordinal Regression Based on Extreme Learning Machine

Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni, 2014, IEEE Transactions on Cybernetics.

Accountancy as a Meaningful Work. Main Determinants from a Job Quality and Optimization Algorithm Approach

Antonio Ariza-Montes, F. Fernández-Navarro, Horacio Molina-Sánchez, 2021, Sustainability.

The Machine-Part Cell Formation Problem with Non-Binary Values: A MILP Model and a Case of Study in the Accounting Profession

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Antonio Ariza-Montes, 2021, Mathematics.

Effect of a Job Demand-Control-Social Support Model on Accounting Professionals’ Health Perception

Antonio Ariza-Montes, F. Fernández-Navarro, Horacio Molina-Sánchez, 2018, International journal of environmental research and public health.

The Impact of Cultural Dimensions on Online Learning

Elena Barberà, Francisco Fernández-Navarro, Pilar Gómez-Rey, 2016, J. Educ. Technol. Soc..

Promoting work Engagement in the Accounting Profession: a Machine Learning Approach

Antonio Ariza-Montes, F. Fernández-Navarro, Horacio Molina-Sánchez, 2021, Social Indicators Research.

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

Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz, 2010, Omega.

Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification

Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, César Hervás-Martínez, 2012, Neurocomputing.

Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity

César Hervás-Martínez, Francisco Fernández-Navarro, Mercedes Torres, 2011, Expert Syst. Appl..

Time series forecasting by recurrent product unit neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2018, Neural Computing and Applications.

Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks

F. Fernández-Navarro, F. Martínez-Estudillo, D. Fernández-Arias, 2017, Computational Economics.

Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks

F. Fernández-Navarro, F. Martínez-Estudillo, D. Fernández-Arias, 2017, Computational Economics.

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

F. Fernández-Navarro, C. Hervás‐Martínez, A. Castaño, 2013, Neural Processing Letters.

Ordinal Neural Networks Without Iterative Tuning

Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Processing Letters.

Negative correlation learning in the extreme learning machine framework

F. Fernández-Navarro, Mariano Carbonero-Ruz, D. Becerra-Alonso, 2020, Neural Computing and Applications.

A Preliminary Study of Diversity in Extreme Learning Machines Ensembles

Francisco Fernández-Navarro, David Becerra-Alonso, Mariano Carbonero-Ruz, 2018, HAIS.

Ordinal regression by a gravitational model in the field of educational data mining

Elena Barberà, Francisco Fernández-Navarro, Pilar Gómez-Rey, 2016, Expert Syst. J. Knowl. Eng..

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

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2012, Expert Syst. Appl..

Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection

César Hervás-Martínez, José Cristóbal Riquelme Santos, Francisco Fernández-Navarro, 2012, Appl. Soft Comput..

Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks

A. Riccardi, F. Fernández-Navarro, A. Heffernan, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence.

Machine Learning Algorithms and Applications in Engineering

Prasenjit Chatterjee, M. Yazdani, F. Fernández-Navarro, 2023 .

Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework

F. Fernández-Navarro, Javier Pérez-Rodríguez, Thomas Ashley, 2023, Expert Syst. Appl..

A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks

F. Fernández-Navarro, Mariano Carbonero-Ruz, A. M. Durán-Rosal, 2022, Appl. Soft Comput..

Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models

F. Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Mean Squared Variance Portfolio: A Mixed-Integer Linear Programming Formulation

Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Luisa Martínez-Nieto, 2021, Mathematics.

Negative Correlation Ensemble Learning for Ordinal Regression

Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Ordinal Regression by a Generalized Force-Based Model

Annalisa Riccardi, Francisco Fernández-Navarro, Sante Carloni, 2015, IEEE Transactions on Cybernetics.

Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2011, Neural Processing Letters.

Classification by evolutionary generalised radial basis functions

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2010, Int. J. Hybrid Intell. Syst..

On the suitability of Extreme Learning Machine for gene classification using feature selection

Pedro Antonio Gutiérrez, César Hervás-Martínez, Manuel Cruz-Ramírez, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, 2014, HAIS.

A two dimensional accuracy-based measure for classification performance

Francisco Fernández-Navarro, Francisco J. Martínez-Estudillo, Alfonso C. Martínez-Estudillo, 2017, Inf. Sci..

Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front

César Hervás-Martínez, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, 2011, 2011 IEEE Symposium on Differential Evolution (SDE).

Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks

A. Riccardi, F. Fernández-Navarro, A. Heffernan, 2020, IEEE Transactions on Emerging Topics in Computational Intelligence.

Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers

Pedro Antonio Gutiérrez, César Hervás-Martínez, María Teresa Lamata, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Generalised Gaussian radial basis function neural networks

Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco Fernández-Navarro, 2012, Soft Computing.

Characterizing Mathematics Learning in Colombian Higher Distance Education

F. Fernández-Navarro, D. Becerra-Alonso, Isabel López-Cobo, 2021, Mathematics.

Negative correlation learning in the extreme learning machine framework

Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Carlos Perales-González, 2020, Neural Computing and Applications.

Evolutionary q-Gaussian radial basis function neural networks for multiclassification

Pedro Antonio Gutiérrez, F. Fernández-Navarro, Mariano Carbonero-Ruz, 2011, Neural Networks.