Luis Javier Herrera

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 29

Top Venues

Publications

Sergio Ortiz, Ignacio Rojas-Valenzuela, Fernando Rojas, Olga Valenzuela, Luis Javier Herrera, Ignacio Rojas
Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches. Comput. Biol. Medicine 168 (2024)
Rafael Vazquez-Conejo, María Tejada Casado, Luis Javier Herrera, Razvan Ghinea, José Manuel Soto-Hidalgo
PyFCS: A new Python library to create and manipulate Fuzzy Color Spaces. FUZZ (2024)
Juan Carlos Gómez-López, Daniel Castillo-Secilla, Jesús González, Luis Javier Herrera, Ignacio Rojas
Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure. IWANN (1) (2023)
Iñaki Hulsman, Luis Javier Herrera, Daniel Castillo, Francisco Ortuño
Novel Gene Signature for Bladder Cancer Stage Identification. IWBBIO (1) (2023)
Lucía Almorox, Luis Javier Herrera, Francisco Ortuño, Ignacio Rojas
Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool. IWBBIO (2) (2023)
I. Fernández, C. Ovejero, Luis Javier Herrera, Ignacio Rojas, Francisco Carrillo-Perez, Alberto Guillén
Speeding up Simulations for Radiotherapy Research by Means of Machine Learning. IWBBIO (1) (2023)
Sergio Ortiz, Juan Carlos Morales, Fernando Rojas, Olga Valenzuela, Luis Javier Herrera, Ignacio Rojas
COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model. IWBBIO (1) (2022)
Daniel Castillo-Secilla, Daniel Redondo-Sánchez, Luis Javier Herrera, Ignacio Rojas, Alberto Guillén
Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite. IWBBIO (1) (2022)
Jesús Toledano Pavón, Juan Carlos Morales Vega, Francisco Carrillo-Perez, Luis Javier Herrera, Ignacio Rojas
COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation. BIOMESIP (2021)
Francisco Carrillo-Perez, Luis Javier Herrera, Juan Miguel Carceller, Alberto Guillén
Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals. Neural Comput. Appl. 33 (15) (2021)
Francisco Carrillo-Perez, Juan Carlos Morales, Daniel Castillo-Secilla, Yésica Molina-Castro, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. BMC Bioinform. 22 (1) (2021)
Daniel Castillo-Secilla, Juan Manuel Galvez, Francisco Carrillo-Perez, Marta Verona-Almeida, Daniel Redondo-Sánchez, Francisco M. Ortuño Guzman, Luis Javier Herrera, Ignacio Rojas
KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. Comput. Biol. Medicine 133 (2021)
Francisco Carrillo-Perez, Juan Carlos Morales, Daniel Castillo-Secilla, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera
Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer. BIOMESIP (2021)
Javier Bajo-Morales, Daniel Castillo-Secilla, Luis Javier Herrera, Ignacio Rojas
COVID-19 Biomarkers Detection Using 'KnowSeq' R Package. BIOMESIP (2021)
Juan Manuel Galvez, Daniel Castillo-Secilla, Luis Javier Herrera, Olga Valenzuela, Octavio Caba, José C. Prados, Francisco M. Ortuño Guzman, Ignacio Rojas
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Juan Carlos Morales, Francisco Carrillo-Perez, Daniel Castillo-Secilla, Ignacio Rojas, Luis Javier Herrera
Enhancing Breast Cancer Classification via Information and Multi-model Integration. IWBBIO (2020)
Luis Javier Herrera, Carlos José Todero Peixoto, Oresti Baños, Juan Miguel Carceller, Francisco Carrillo-Perez, Alberto Guillén
Composition Classification of Ultra-High Energy Cosmic Rays. Entropy 22 (9) (2020)
Alberto Guillén, José Martínez, Juan Miguel Carceller, Luis Javier Herrera
A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers. Entropy 22 (11) (2020)
Oresti Banos, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows. IWANN (1) (2019)
Sara González, Daniel Castillo, Juan Manuel Galvez, Ignacio Rojas, Luis Javier Herrera
Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models. IWANN (2) (2019)
Francisco Carrillo-Perez, Luis Javier Herrera, Juan Miguel Carceller, Alberto Guillén
Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN. IWANN (1) (2019)
Claudia Villalonga, Harm op den Akker, Hermie Hermens, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Oresti Banos
Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications. UCAmI (2017)
Claudia Villalonga, Harm op den Akker, Hermie Hermens, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Oresti Banos
Ontological modeling of motivational messages for physical activity coaching. PervasiveHealth (2017)
Daniel Castillo, Juan Manuel Galvez, Luis Javier Herrera, Ignacio Rojas
Breast Cancer Microarray and RNASeq Data Integration Applied to Classification. IWANN (1) (2017)
Martí Manzano, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera
Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification. IWANN (1) (2017)
Martí Manzano, Alberto Guillén, Ignacio Rojas, Luis Javier Herrera
Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification. ICIC (2) (2017)
Daniel Castillo, Juan Manuel Galvez, Luis Javier Herrera, Belén San Román, Fernando Rojas, Ignacio Rojas
Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling. BMC Bioinform. 18 (1) (2017)
Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Francisco J. Liébana-Cabanillas
Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis. Int. J. Intell. Syst. 31 (2) (2016)
Francisco J. Liébana-Cabanillas, Luis Javier Herrera, Alberto Guillén
Variable selection for payment in social networks: Introducing the Hy-index. Comput. Hum. Behav. 56 (2016)
Oresti Baños, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga
Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition. Neural Process. Lett. 42 (1) (2015)
Luis Javier Herrera, Alberto Guillén, Rubén Martínez, Carlos García, Héctor Pomares, Oresti Baños, Ignacio Rojas Ruiz
Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection. IWANN (2) (2015)
Oresti Banos, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga, Sungyoung Lee
On the Development of a Real-Time Multi-sensor Activity Recognition System. IWAAL (2015)
Alberto Guillén, Luis Javier Herrera, Francisco J. Liébana-Cabanillas, Oresti Baños, Ignacio Rojas
Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment. IWANN (2) (2015)
Oresti Baños, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas Ruiz, Claudia Villalonga, Choong Seon Hong, Sungyoung Lee
Multiwindow Fusion for Wearable Activity Recognition. IWANN (2) (2015)
Olga Valenzuela, Fernando Rojas, Francisco M. Ortuño Guzman, José Luis Bernier, María José Saéz-Lara, Belén San Román, Luis Javier Herrera, Alberto Guillén, Ignacio Rojas
Advances in bioinformatics using soft-computing paradigms. IWBBIO (2014)
Razvan Ghinea, Oscar E. Pecho, Luis Javier Herrera, Ana Maria Ionescu, Juan de la Cruz Cardona, Maria Purificacion Sanchez Sanchez, Rade D. Paravina, Maria del Mar Pérez
Predictive algorithms for determination of reflectance data from quantity of pigments within experimental dental resin composites. IWBBIO (2014)
Alberto Guillén, M. Isabel García Arenas, Mark van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Fast Feature Selection in a GPU Cluster Using the Delta Test. Entropy 16 (2) (2014)
Oresti Baños, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Evaluating the effects of signal segmentation on activity recognition. IWBBIO (2014)
Olga Valenzuela, Francisco M. Ortuño Guzman, Fernando Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén
Using intelligent system for medical decision-making to magnetic resonance imaging. IWBBIO (2013)
Olga Valenzuela, Fernando J. Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman, Héctor Pomares, Ignacio Rojas Ruiz
Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG. ISDA (2013)
Luis Javier Herrera, Ignacio Rojas, Héctor Pomares, Alberto Guillén, Olga Valenzuela, Oresti Baños
Classification of MRI Images for Alzheimer's Disease Detection. SocialCom (2013)
Luis Javier Herrera, Oscar E. Pecho, Razvan Ghinea, Ignacio Rojas Ruiz, Héctor Pomares, Alberto Guillén, Ana Maria Ionescu, Juan de la Cruz Cardona, R. Pulgar, Maria del Mar Pérez
Color Fuzzy Set Design for dental applications. ISDA (2013)
Ana Belén Cara, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model. Inf. Sci. 220 (2013)
Luis Javier Herrera, Carlos M. Fernandes, Antonio Miguel Mora, Daria Migotina, Rogerio Largo, Alberto Guillén, Agostinho C. Rosa
Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification. Int. J. Neural Syst. 23 (3) (2013)
Francisco J. Liébana-Cabanillas, Rafael Nogueras, Luis Javier Herrera, Alberto Guillén
Analysing user trust in electronic banking using data mining methods. Expert Syst. Appl. 40 (14) (2013)
José Manuel Sánchez Pascualvaca, Carlos M. Fernandes, Alberto Guillén, Antonio Miguel Mora, Rogerio Largo, Agostinho C. Rosa, Luis Javier Herrera
Sleep Stage Classification Using Advanced Intelligent Methods. IWANN (1) (2013)
Olga Valenzuela, Fernando J. Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman, Oresti Baños, Gonzalo Ruiz, Hind Tribak, Héctor Pomares, Ignacio Rojas Ruiz
Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG. SocialCom (2013)
Raimundo Garcia-del-Moral, Alberto Guillén, Luis Javier Herrera, Antonio Cañas, Ignacio Rojas
Parametric and Non-parametric Feature Selection for Kidney Transplants. IWANN (2) (2013)
José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Olga Valenzuela, Maria del Mar Cepero
Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. Comput. Biol. Medicine 42 (6) (2012)
José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Javier P. Florido, Olga Valenzuela
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology. J. Appl. Math. 2012 (2012)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela
The TaSe-NF model for function approximation problems: Approaching local and global modelling. Fuzzy Sets Syst. 171 (1) (2011)
José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Julio Ortega Lopera, Alberto Prieto
Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection. Neurocomputing 74 (16) (2011)
Alberto Guillén, Mark van Heeswijk, Dusan Sovilj, Maribel García Arenas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Variable Selection in a GPU Cluster Using Delta Test. IWANN (1) (2011)
Razvan Ghinea, Juan de la Cruz Cardona, Ana Maria Ionescu, Maria del Mar Pérez, Luis Javier Herrera
Using Takagi-Sugeno-Kang approximation fuzzy logic for evaluating the performance of color difference formulas in dentistry. ISDA (2011)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza
Global and local modelling in RBF networks. Neurocomputing 74 (16) (2011)
José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, J. P. Florido, Francisco M. Ortuño Guzman
Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. PACBB (2011)
Luis Javier Herrera, Antonio Miguel Mora, Carlos M. Fernandes, Daria Migotina, Alberto Guillén, Agostinho C. Rosa
Symbolic representation of the EEG for sleep stage classification. ISDA (2011)
Alberto Guillén, Carlos Tovar, Luis Javier Herrera, Héctor Pomares, Jesús González, José F. Guillén, Ignacio Rojas
Predicting marital dissolutions using radial basis function neural networks. IJCNN (2010)
Alberto Guillén, F. G. del Moral, Luis Javier Herrera, Ginés Rubio, Ignacio Rojas, Olga Valenzuela, Héctor Pomares
Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks. Neural Comput. Appl. 19 (3) (2010)
Javier P. Florido, Héctor Pomares, Ignacio Rojas, José Miguel Urquiza Ortiz, Luis Javier Herrera, Manuel Gonzalo Claros
Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips. IJCNN (2010)
Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén
Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. Neurocomputing 73 (10-12) (2010)
Luis Javier Herrera, Maria del Mar Pérez, J. Santana, R. Pulgar, Jesús González, Héctor Pomares, Ignacio Rojas
Local-global neuro-fuzzy system for color change modelling. Int. J. Hybrid Intell. Syst. 7 (4) (2010)
Antonio Miguel Mora, Carlos M. Fernandes, Luis Javier Herrera, Pedro A. Castillo, Juan Julián Merelo Guervós, Fernando Rojas, Agostinho C. Rosa
Sleeping with ants, SVMs, multilayer perceptrons and SOMs. ISDA (2010)
Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas
New method for instance or prototype selection using mutual information in time series prediction. Neurocomputing 73 (10-12) (2010)
Antonio Miguel Mora, Luis Javier Herrera, José Miguel Urquiza Ortiz, Ignacio Rojas, Juan Julián Merelo Guervós
Applying support vector machines and mutual information to book losses prediction. IJCNN (2010)
José Miguel Urquiza Ortiz, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, Ginés Rubio, J. P. Florido
Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. ISCIS (2009)
José M. Urquiza, Ignacio Rojas, Héctor Pomares, J. P. Florido, Ginés Rubio, Luis Javier Herrera, José C. Calvo, Julio Ortega Lopera
Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. IWANN (1) (2009)
Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas
Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) (2009)
Luis Javier Herrera, Maria del Mar Pérez, J. Santana, R. Pulgar, Jesús González, Héctor Pomares, Ignacio Rojas Ruiz
A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades. ISDA (2009)
Ginés Rubio, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Guillén
Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. ICANN (2) (2009)
Olga Valenzuela, Ignacio Rojas, Francisco Javier Rojas, Héctor Pomares, José Luis Bernier, Luis Javier Herrera, Alberto Guillén
Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification. Appl. Artif. Intell. 23 (10) (2009)
Alberto Guillén, A. M. Trujillo, Samuel F. Romero, Ginés Rubio, Ignacio Rojas Ruiz, Héctor Pomares, Luis Javier Herrera, José F. Guillén
Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. ISDA (2009)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza
Global and Local Modelling in Radial Basis Functions Networks. IWANN (1) (2009)
Alberto Guillén, Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Amaury Lendasse, Ignacio Rojas
Applying Mutual Information for Prototype or Instance Selection in Regression Problems. ESANN (2009)
Olga Valenzuela, Ignacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Alberto Guillén, Luisa Marquez, Miguel Pasadas
Hybridization of intelligent techniques and ARIMA models for time series prediction. Fuzzy Sets Syst. 159 (7) (2008)
Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Luisa Marquez, Miguel Pasadas
Soft-computing techniques and ARMA model for time series prediction. Neurocomputing 71 (4-6) (2008)
Alberto Guillén, Héctor Pomares, Ignacio Rojas, Jesús González, Luis Javier Herrera, Fernando Rojas, Olga Valenzuela
Studying possibility in a clustering algorithm for RBFNN design for function approximation. Neural Comput. Appl. 17 (1) (2008)
Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Alberto Guillén, José M. Palomares, Fernando Rojas
Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms. Int. J. Approx. Reason. 44 (1) (2007)
Alberto Guillén, Ignacio Rojas Ruiz, Jesús González, Héctor Pomares, Luis Javier Herrera
A First Approach to Birth Weight Prediction Using RBFNNs. IWINAC (1) (2007)
Alberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto
Using fuzzy logic to improve a clustering technique for function approximation. Neurocomputing 70 (16-18) (2007)
Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto
Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems. IWANN (2007)
Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas
Kernel Methods Applied to Time Series Forecasting. IWANN (2007)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio
On Incorporating Seasonal Information on Recursive Time Series Predictors. ICANN (2) (2007)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad, Ana Herrera
Multigrid-based fuzzy systems for time series prediction: CATS competition. Neurocomputing 70 (13-15) (2007)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Fernando Rojas
Output value-based initialization for radial basis function neural networks. Neural Process. Lett. 25 (3) (2007)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Alberto Prieto, Olga Valenzuela
Recursive prediction for long term time series forecasting using advanced models. Neurocomputing 70 (16-18) (2007)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter
Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. ICANNGA (1) (2007)
Alberto Guillén, Jesús González, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Francisco Fernández
A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application. FUZZ-IEEE (2007)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Ben Paechter
Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation. Australian Conference on Artificial Intelligence (2006)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto
A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design. RSCTC (2006)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén
Effective Input Variable Selection for Function Approximation. ICANN (1) (2006)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Francisco Fernández
Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction. ICNC (1) (2006)
Ignacio Rojas, Héctor Pomares, Jesús González, Luis Javier Herrera, Alberto Guillén, Fernando Rojas Ruiz, Olga Valenzuela
Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time. Fuzzy Sets Syst. 157 (16) (2006)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Alberto Prieto
Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems. IJCNN (2006)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto
TaSe Model for Long Term Time Series Forecasting. IWANN (2005)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González, Mohammed Awad
Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models. IWANN (2005)
Mohammed Awad, Héctor Pomares, Luis Javier Herrera, Jesús González, Alberto Guillén, Fernando Rojas
Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach. IWANN (2005)
Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Olga Valenzuela
Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. ECSQARU (2005)
Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto
Input Variable Selection in Hierarchical RBF Networks. IWANN (2005)
Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto
Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm. IWANN (2005)

Luis Javier Herrera

Publication Activity (10 Years)

Top Topics

Top Venues