L. Herrera

发表

A heuristic method for parameter selection in LS-SVM: Application to time series prediction

H. Pomares, I. Rojas, G. Rubio, 2011 .

Adoption of electric vehicles: Which factors are really important?

F. Liébana-Cabanillas, E. Higueras-Castillo, L. Herrera, 2020, International Journal of Sustainable Transportation.

Comparing Mutual Information and Delta Test for Variable Selection to Determine Client Confidence in e-Bank

H. Pomares, I. Rojas, L. Herrera, 2016 .

Feature Selection Using Mutual Information and Neural Networks §1. Introduction

I. Rojas, M. Pasadas, O. Valenzuela, 2022 .

Feature selection using mutual information and neural networks

Alberto Guillén, Luis Javier Herrera, Olga Valenzuela, 2006 .

Multigrid-based fuzzy systems for time series prediction: CATS competition

Jesús González, H. Pomares, I. Rojas, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

PC Architecture Learning through the Combination of Hardware Examination and the Use of System Information Software

H. Pomares, L. Herrera, A. Guillén, 2009 .

Hierarchical Structure for function approximation using radial basis function

H. Pomares, I. Rojas, O. Valenzuela, 2005 .

Analysing user trust in electronic banking using data mining methods

Alberto Guillén, Luis Javier Herrera, Rafael Nogueras, 2013, Expert Syst. Appl..

Improving Performance of Multi-objective Genetic for Function Approximation through island specialisation

B. Paechter, H. Pomares, I. Rojas, 2006 .

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

L. Herrera, F. Rojas, Ignacio Rojas, 2017, BMC Bioinformatics.

Input Variable Selection in Hierarchical RBF Networks

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2005, IWANN.

Parametric and Non-parametric Feature Selection for Kidney Transplants

Ignacio Rojas, Antonio Cañas, Luis Javier Herrera, 2013, IWANN.

Recursive prediction for long term time series forecasting using advanced models

I. Rojas, H. Pomares, A. Prieto, 2007, Neurocomputing.

On Incorporating Seasonal Information on Recursive Time Series Predictors

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2007, ICANN.

Kernel Methods Applied to Time Series Forecasting

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2007, IWANN.

Effective Input Variable Selection for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, ICANN.

Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach

Bernhard Schölkopf, Luis Herrera, Tobias Jung, 2005, IWANN.

Multigrid-based fuzzy systems for time series prediction: CATS competition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets

Ignacio Rojas, Olga Valenzuela, Juan M. Gálvez, 2019, IEEE Journal of Biomedical and Health Informatics.

Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System

O. Valenzuela, L. Herrera, F. Rojas, 2022, Journal of personalized medicine.

COVID-19 Biomarkers Detection Using 'KnowSeq' R Package

Luis Javier Herrera, Daniel Castillo-Secilla, Javier Bajo-Morales, 2021, BIOMESIP.

Studying possibility in a clustering algorithm for RBFNN design for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neural Computing and Applications.

A Possibilistic Approach to RBFN Centers Initialization

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2005, IWINAC.

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2012, Comput. Biol. Medicine.

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, 2009 24th International Symposium on Computer and Information Sciences.

Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection

Héctor Pomares, Ignacio Rojas, Julio Ortega Lopera, 2009, Neurocomputing.

Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series

Ignacio Rojas, Luis Javier Herrera, Olga Valenzuela, 2018, PloS one.

Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis

O. Gevaert, L. Herrera, Ignacio Rojas, 2022, Journal of personalized medicine.

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

Ignacio Rojas, Luis Javier Herrera, Juan Manuel Gálvez, 2017, BMC Bioinformatics.

Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

Ignacio Rojas, Olga Valenzuela, Juan Manuel Galvez, 2019, PloS one.

Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips

Héctor Pomares, Ignacio Rojas, M. Gonzalo Claros, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy

Héctor Pomares, Ignacio Rojas, Alberto Prieto, 2005, Fuzzy Sets Syst..

New method for instance or prototype selection using mutual information in time series prediction

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neurocomputing.

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Int. J. Approx. Reason..

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion

Alberto Guillén, Francisco Carrillo-Perez, Luis Javier Herrera, 2021, BMC Bioinformatics.

Hybridization of intelligent techniques and ARIMA models for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Fuzzy Sets Syst..

Assessing university students' perception of academic quality using machine learning

Luis Javier Herrera, Juan Sánchez-Fernández, Francisco Liébana-Cabanillas, 2020 .

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, Fuzzy Sets Syst..

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2012, Parallel Architectures and Bioinspired Algorithms.

Soft-computing techniques and ARMA model for time series prediction

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2008, Neurocomputing.

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2017, ICIC.

Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification

Ignacio Rojas, Alberto Guillén, Luis Javier Herrera, 2017, IWANN.

Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification

Alberto Guillén, Agostinho C. Rosa, Luis Javier Herrera, 2013, Int. J. Neural Syst..

Sleeping with ants, SVMs, multilayer perceptrons and SOMs

Agostinho C. Rosa, Juan Julián Merelo Guervós, Pedro A. Castillo, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neural Computing and Applications.

Instance or Prototype Selection for Function Approximation using Mutual Information

I. Rojas, H. Pomares, G. Rubio, 2008 .

Global and local modelling in RBF networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2011, Neurocomputing.

Multiwindow Fusion for Wearable Activity Recognition

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2015, IWANN.

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, IWANN.

Applying Mutual Information for Prototype or Instance Selection in Regression Problems

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, ESANN.

A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers

Alberto Guillén, Luis Javier Herrera, Juan Miguel Carceller, 2020, Entropy.

Composition Classification of Ultra-High Energy Cosmic Rays

Alberto Guillén, Francisco Carrillo-Perez, Luis Javier Herrera, 2020, Entropy.

Sleep Stage Classification Using Advanced Intelligent Methods

Alberto Guillén, Agostinho C. Rosa, Luis Javier Herrera, 2013, IWANN.

The TaSe-NF model for function approximation problems: Approaching local and global modelling

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2011, Fuzzy Sets Syst..

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, RSFDGrC.

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, ECSQARU.

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, Inf. Sci..

Ensemble Models for Covid Prediction in X-Ray Images

Ignacio Rojas, Francisco Carrillo-Perez, Luis Javier Herrera, 2021, IWANN.

Using intelligent system for medical decision-making to magnetic resonance imaging

Héctor Pomares, Alberto Guillén, Luis Javier Herrera, 2013, IWBBIO.

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2012, J. Appl. Math..

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge

Francisco Carrillo-Perez, Luis Javier Herrera, Juan Manuel Galvez, 2021, Comput. Biol. Medicine.

KnowSeq R/bioc package: Beyond the traditional RNA-seq pipeline. A breast cancer study case.

L. Herrera, F. Ortuño, Ignacio Rojas, 2019 .

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2011, PACBB.

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition

O. Baños, H. Pomares, I. Rojas, 2015, Neural Processing Letters.

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2010, Neurocomputing.

Using fuzzy logic to improve a clustering technique for function approximation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, Neurocomputing.

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2005, IWANN.

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2015, IWANN.

Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals

Alberto Guillén, Francisco Carrillo-Perez, Luis Javier Herrera, 2021, Neural Computing and Applications.

Classification of MRI Images for Alzheimer's Disease Detection

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2013, 2013 International Conference on Social Computing.

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2007, 2007 IEEE International Fuzzy Systems Conference.

Ontological modeling of motivational messages for physical activity coaching

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2017, PervasiveHealth.

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 International Conference on Social Computing.

Applying support vector machines and mutual information to book losses prediction

Ignacio Rojas, Juan Julián Merelo Guervós, Luis Javier Herrera, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Symbolic representation of the EEG for sleep stage classification

Alberto Guillén, Agostinho C. Rosa, Luis Javier Herrera, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Long- and Short-Term Approaches for Power Consumption Prediction Using Neural Networks

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2020 .

Variable selection for payment in social networks: Introducing the Hy-index

A. Guillén, F. Liébana-Cabanillas, L.J. Herrera, 2016, Comput. Hum. Behav..

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation

Héctor Pomares, Ignacio Rojas, Alberto Guillén, 2006, Australian Conference on Artificial Intelligence.

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error

Ginés Rubio, Héctor Pomares, Ignacio Rojas, 2009, ICANN.

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2016, Int. J. Intell. Syst..

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2013, 2013 13th International Conference on Intellient Systems Design and Applications.

KnowSeq R/bioc package: Beyond the traditional RNA-seq pipeline. A breast cancer case study.

L. Herrera, F. Ortuño, J. M. Gálvez, 2019 .

MultiGrid-Based Fuzzy Systems for Function Approximation

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2004, MICAI.

MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality

Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, 2004, ESANN.

International Journal of Approximate Reasoning

J. M. Palomares, Mark J. Wierman, William J. Tastle, 2012, SOCO 2012.

Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches.

O. Valenzuela, L. Herrera, Ignacio Rojas-Valenzuela, 2023, Computers in biology and medicine.

Mutual Information-based Feature Selection in Spectrometric Data for Agriculture Applications

H. Pomares, I. Rojas, R. Ghinea, 2015 .

Gene Expression Analysis for Uterine Cervix and Corpus Cancer Characterization

L. Herrera, F. Ortuño, Ignacio Rojas, 2024, Genes.