MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. - Luis Javier Herrera; Ignacio Rojas Ruiz; Héctor Pomares; Olga Valenzuela; Jesús González 001; Mohammed Awad (ESANN, 2004)

Fine control of monotonic systems using a global self-learning adaptive fuzzy controller. - Héctor Pomares; Ignacio Rojas; Luis Javier Herrera; Jesús González 001; Alberto Prieto (FUZZ-IEEE, 2004)

Multigrid-based fuzzy systems for time series prediction: CATS competition. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Jesús González 001; Mohammed Awad; Ana Herrera (IJCNN, 2004)

Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Jesús González 001; Olga Valenzuela (MICAI, 2004)

MultiGrid-Based Fuzzy Systems for Function Approximation. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Olga Valenzuela; Mohammed Awad (MICAI, 2004)

The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction. - Ignacio Rojas; Fernando Rojas 001; Héctor Pomares; Luis Javier Herrera; Jesús González 001; Olga Valenzuela (MICAI, 2004)

Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Mohammed Awad; Olga Valenzuela (ECSQARU, 2005)

New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Jesús González 001 (ECSQARU, 2005)

Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach. - Mohammed Awad; Héctor Pomares; Luis Javier Herrera; Jesús González 001; Alberto Guillén; Fernando Rojas 001 (IWANN, 2005)

Input Variable Selection in Hierarchical RBF Networks. - Mohammed Awad; Héctor Pomares; Ignacio Rojas; Luis Javier Herrera; Alberto Prieto (IWANN, 2005)

Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Olga Valenzuela; Alberto Prieto (IWANN, 2005)

Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Jesús González 001; Mohammed Awad (IWANN, 2005)

TaSe Model for Long Term Time Series Forecasting. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Olga Valenzuela; Alberto Prieto (IWANN, 2005)

Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach. - Tobias Jung; Luis Javier Herrera; Bernhard Schölkopf (IWANN, 2005)

Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals. - Alberto Guillén; Ignacio Rojas; Eduardo Ros 001; Luis Javier Herrera (IWINAC (2), 2005)

A Possibilistic Approach to RBFN Centers Initialization. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Olga Valenzuela; Alberto Prieto (RSFDGrC (2), 2005)

Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Mohammed Awad; Jesús González 001 (RSFDGrC (1), 2005)

TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Olga Valenzuela; Alberto Prieto (Fuzzy Sets Syst., 2005)

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Ben Paechter (Australian Conference on Artificial Intelligence, 2006)

Effective Input Variable Selection for Function Approximation. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Michel Verleysen; Alberto Guillén (ICANN (1), 2006)

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Francisco Fernández (ICNC (1), 2006)

Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Alberto Prieto (IJCNN, 2006)

A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Alberto Prieto (RSCTC, 2006)

Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time. - Ignacio Rojas; Héctor Pomares; Jesús González 001; Luis Javier Herrera; Alberto Guillén; Fernando Rojas Ruiz; Olga Valenzuela (Fuzzy Sets Syst., 2006)

A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application. - Alberto Guillén; Jesús González 001; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; Francisco Fernández (FUZZ-IEEE, 2007)

On Incorporating Seasonal Information on Recursive Time Series Predictors. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio (ICANN (2), 2007)

Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Ben Paechter (ICANNGA (1), 2007)

Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems. - Alberto Guillén; Héctor Pomares; Jesús González 001; Ignacio Rojas; Luis Javier Herrera; Alberto Prieto (IWANN, 2007)

Kernel Methods Applied to Time Series Forecasting. - Ginés Rubio; Héctor Pomares; Luis Javier Herrera; Ignacio Rojas (IWANN, 2007)

A First Approach to Birth Weight Prediction Using RBFNNs. - Alberto Guillén; Ignacio Rojas Ruiz; Jesús González 001; Héctor Pomares; Luis Javier Herrera (IWINAC (1), 2007)

Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms. - Jesús González 001; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; Alberto Guillén; José M. Palomares; Fernando Rojas 001 (Int. J. Approx. Reason., 2007)

Using fuzzy logic to improve a clustering technique for function approximation. - Alberto Guillén; Jesús González 001; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; Olga Valenzuela; Alberto Prieto (Neurocomputing, 2007)

Multigrid-based fuzzy systems for time series prediction: CATS competition. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Jesús González 001; Mohammed Awad; Ana Herrera (Neurocomputing, 2007)

Recursive prediction for long term time series forecasting using advanced models. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Alberto Prieto; Olga Valenzuela (Neurocomputing, 2007)

Output value-based initialization for radial basis function neural networks. - Alberto Guillén; Ignacio Rojas; Jesús González 001; Héctor Pomares; Luis Javier Herrera; Olga Valenzuela; Fernando Rojas 001 (Neural Process. Lett., 2007)

Hybridization of intelligent techniques and ARIMA models for time series prediction. - Olga Valenzuela; Ignacio Rojas; Fernando Rojas 001; Héctor Pomares; Luis Javier Herrera; Alberto Guillén; Luisa Marquez; Miguel Pasadas (Fuzzy Sets Syst., 2008)

Soft-computing techniques and ARMA model for time series prediction. - Ignacio Rojas; Olga Valenzuela; Fernando Rojas 001; Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Luisa Marquez; Miguel Pasadas (Neurocomputing, 2008)

Studying possibility in a clustering algorithm for RBFNN design for function approximation. - Alberto Guillén; Héctor Pomares; Ignacio Rojas; Jesús González 001; Luis Javier Herrera; Fernando Rojas 001; Olga Valenzuela (Neural Comput. Appl., 2008)

Applying Mutual Information for Prototype or Instance Selection in Regression Problems. - Alberto Guillén; Luis Javier Herrera; Ginés Rubio; Héctor Pomares; Amaury Lendasse; Ignacio Rojas (ESANN, 2009)

Strengthening the Forward Variable Selection Stopping Criterion. - Luis Javier Herrera; Ginés Rubio; Héctor Pomares; Ben Paechter; Alberto Guillén; Ignacio Rojas (ICANN (2), 2009)

Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error. - Ginés Rubio; Héctor Pomares; Ignacio Rojas; Luis Javier Herrera; Alberto Guillén (ICANN (2), 2009)

Prediction of protein-protein interactions in yeast using SVMs with genomics/proteomics information and feature selection. - José Miguel Urquiza Ortiz; Ignacio Rojas Ruiz; Héctor Pomares; Luis Javier Herrera; Ginés Rubio; J. P. Florido (ISCIS, 2009)

Risk Factor Identification and Classification of Macrosomic Newborns by Neural Networks. - Alberto Guillén; A. M. Trujillo; Samuel F. Romero; Ginés Rubio; Ignacio Rojas Ruiz; Héctor Pomares; Luis Javier Herrera; José F. Guillén (ISDA, 2009)

A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades. - Luis Javier Herrera; Maria del Mar Pérez; J. Santana; R. Pulgar; Jesús González 001; Héctor Pomares; Ignacio Rojas Ruiz (ISDA, 2009)

Global and Local Modelling in Radial Basis Functions Networks. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio; José M. Urquiza (IWANN (1), 2009)

Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; J. P. Florido; Ginés Rubio; Luis Javier Herrera; José C. Calvo; Julio Ortega Lopera (IWANN (1), 2009)

Intelligent System Based on Genetic Programming for Atrial Fibrillation Classification. - Olga Valenzuela; Ignacio Rojas; Francisco Javier Rojas; Héctor Pomares; José Luis Bernier; Luis Javier Herrera; Alberto Guillén (Appl. Artif. Intell., 2009)

Intelligent Classifier for Atrial Fibrillation (ECG). - Olga Valenzuela; Ignacio Rojas; F. Rojas 001; Alberto Guillén; Luis Javier Herrera; Fernando J. Rojas; Maria del Mar Cepero (Encyclopedia of Artificial Intelligence, 2009)

A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes. - Oscar Harari; Luis Javier Herrera; Igor Zwir (Fuzzy Systems in Bioinformatics and Computational Biology, 2009)

Effect of pre-processing methods on microarray-based SVM classifiers in affymetrix genechips. - Javier Perez-Florido; Héctor Pomares; Ignacio Rojas; José Miguel Urquiza Ortiz; Luis Javier Herrera; Manuel Gonzalo Claros (IJCNN, 2010)

Predicting marital dissolutions using radial basis function neural networks. - Alberto Guillén; Carlos Tovar; Luis Javier Herrera; Héctor Pomares; Jesús González 001; José F. Guillén; Ignacio Rojas (IJCNN, 2010)

Applying support vector machines and mutual information to book losses prediction. - Antonio Miguel Mora; Luis Javier Herrera; José Miguel Urquiza Ortiz; Ignacio Rojas; Juan Julián Merelo Guervós (IJCNN, 2010)

Sleeping with ants, SVMs, multilayer perceptrons and SOMs. - Antonio Miguel Mora; Carlos M. Fernandes 001; Luis Javier Herrera; Pedro A. Castillo; Juan Julián Merelo Guervós; Fernando Rojas 001; Agostinho C. Rosa (ISDA, 2010)

Local-global neuro-fuzzy system for color change modelling. - Luis Javier Herrera; Maria del Mar Pérez; J. Santana; R. Pulgar; Jesús González 001; Héctor Pomares; Ignacio Rojas (Int. J. Hybrid Intell. Syst., 2010)

New method for instance or prototype selection using mutual information in time series prediction. - Alberto Guillén; Luis Javier Herrera; Ginés Rubio; Héctor Pomares; Amaury Lendasse; Ignacio Rojas (Neurocomputing, 2010)

Design of specific-to-problem kernels and use of kernel weighted K-nearest neighbours for time series modelling. - Ginés Rubio; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén (Neurocomputing, 2010)

Using near-infrared spectroscopy in the classification of white and iberian pork with neural networks. - Alberto Guillén; F. G. del Moral; Luis Javier Herrera; Ginés Rubio; Ignacio Rojas; Olga Valenzuela; Héctor Pomares (Neural Comput. Appl., 2010)

Using Takagi-Sugeno-Kang approximation fuzzy logic for evaluating the performance of color difference formulas in dentistry. - Razvan Ghinea; Juan de la Cruz Cardona; Ana Maria Ionescu; Maria del Mar Pérez; Luis Javier Herrera (ISDA, 2011)

Symbolic representation of the EEG for sleep stage classification. - Luis Javier Herrera; Antonio Miguel Mora; Carlos M. Fernandes 001; Daria Migotina; Alberto Guillén; Agostinho C. Rosa (ISDA, 2011)

Variable Selection in a GPU Cluster Using Delta Test. - Alberto Guillén; Mark van Heeswijk; Dusan Sovilj; Maribel García Arenas; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas (IWANN (1), 2011)

Using Machine Learning Techniques and Genomic/Proteomic Information from Known Databases for PPI Prediction. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; J. P. Florido; Francisco M. Ortuño Guzman (PACBB, 2011)

The TaSe-NF model for function approximation problems: Approaching local and global modelling. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Olga Valenzuela (Fuzzy Sets Syst., 2011)

Global and local modelling in RBF networks. - Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Alberto Guillén; Ginés Rubio; José M. Urquiza (Neurocomputing, 2011)

Method for prediction of protein-protein interactions in yeast using genomics/proteomics information and feature selection. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; Julio Ortega Lopera; Alberto Prieto (Neurocomputing, 2011)

Using machine learning techniques and genomic/proteomic information from known databases for defining relevant features for PPI classification. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; J. P. Florido; Olga Valenzuela; Maria del Mar Cepero (Comput. Biol. Medicine, 2012)

Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology. - José M. Urquiza; Ignacio Rojas; Héctor Pomares; Luis Javier Herrera; Javier Perez-Florido; Olga Valenzuela (J. Appl. Math., 2012)

Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. - Alberto Guillén; Dusan Sovilj; Mark van Heeswijk; Luis Javier Herrera; Amaury Lendasse; Héctor Pomares; Ignacio Rojas (Parallel Architectures and Bioinspired Algorithms, 2012)

Color Fuzzy Set Design for dental applications. - 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 (ISDA, 2013)

Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG. - Olga Valenzuela; Fernando J. Rojas; Luis Javier Herrera; Francisco M. Ortuño Guzman; Héctor Pomares; Ignacio Rojas Ruiz (ISDA, 2013)

Parametric and Non-parametric Feature Selection for Kidney Transplants. - Raimundo Garcia-del-Moral; Alberto Guillén; Luis Javier Herrera; Antonio Cañas; Ignacio Rojas (IWANN (2), 2013)

Sleep Stage Classification Using Advanced Intelligent Methods. - José Manuel Sánchez Pascualvaca; Carlos M. Fernandes 001; Alberto Guillén; Antonio Miguel Mora; Rogerio Largo; Agostinho C. Rosa; Luis Javier Herrera (IWANN (1), 2013)

Using intelligent system for medical decision-making to magnetic resonance imaging. - Olga Valenzuela; Francisco M. Ortuño Guzman; Fernando Rojas 001; Héctor Pomares; José Luis Bernier; Luis Javier Herrera; Alberto Guillén (IWBBIO, 2013)

Classification of MRI Images for Alzheimer's Disease Detection. - Luis Javier Herrera; Ignacio Rojas; Héctor Pomares; Alberto Guillén; Olga Valenzuela; Oresti Baños (SocialCom, 2013)

Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG. - Olga Valenzuela; Fernando J. Rojas; Luis Javier Herrera; Francisco M. Ortuño Guzman; Oresti Baños; Gonzalo Ruiz; Hind Tribak; Héctor Pomares; Ignacio Rojas Ruiz (SocialCom, 2013)

Analysing user trust in electronic banking using data mining methods. - Francisco J. Liébana-Cabanillas; Rafael Nogueras; Luis Javier Herrera; Alberto Guillén (Expert Syst. Appl., 2013)

Combination of Heterogeneous EEG Feature Extraction Methods and stacked Sequential Learning for Sleep Stage Classification. - Luis Javier Herrera; Carlos M. Fernandes 001; Antonio Miguel Mora; Daria Migotina; Rogerio Largo; Alberto Guillén; Agostinho C. Rosa (Int. J. Neural Syst., 2013)

New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model. - Ana Belén Cara; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas (Inf. Sci., 2013)

Evaluating the effects of signal segmentation on activity recognition. - Oresti Baños; Juan Manuel Galvez; Miguel Damas; Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas (IWBBIO, 2014)

Predictive algorithms for determination of reflectance data from quantity of pigments within experimental dental resin composites. - 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 (IWBBIO, 2014)

Data Recycling of Historical Records and Integration in New Information Systems in Cardiology ervice. - R. Penafiel; Alberto Guillén; Luis Javier Herrera Maldonado (IWBBIO, 2014)

Advances in bioinformatics using soft-computing paradigms. - Olga Valenzuela; Fernando Rojas 001; Francisco M. Ortuño Guzman; José Luis Bernier; María José Saéz-Lara; Belén San Román; Luis Javier Herrera; Alberto Guillén; Ignacio Rojas (IWBBIO, 2014)

Fast Feature Selection in a GPU Cluster Using the Delta Test. - Alberto Guillén; M. Isabel García Arenas; Mark van Heeswijk; Dusan Sovilj; Amaury Lendasse; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas (Entropy, 2014)

On the Development of a Real-Time Multi-sensor Activity Recognition System. - Oresti Banos; Miguel Damas; Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Claudia Villalonga; Sungyoung Lee 001 (IWAAL, 2015)

Multiwindow Fusion for Wearable Activity Recognition. - Oresti Baños; Juan Manuel Galvez; Miguel Damas; Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas Ruiz; Claudia Villalonga; Choong Seon Hong; Sungyoung Lee 001 (IWANN (2), 2015)

Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment. - Alberto Guillén; Luis Javier Herrera; Francisco J. Liébana-Cabanillas; Oresti Baños; Ignacio Rojas (IWANN (2), 2015)

Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection. - Luis Javier Herrera; Alberto Guillén; Rubén Martínez; Carlos García; Héctor Pomares; Oresti Baños; Ignacio Rojas Ruiz (IWANN (2), 2015)

Multi-sensor Fusion Based on Asymmetric Decision Weighting for Robust Activity Recognition. - Oresti Baños; Miguel Damas; Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Claudia Villalonga (Neural Process. Lett., 2015)

Variable selection for payment in social networks: Introducing the Hy-index. - Francisco J. Liébana-Cabanillas; Luis Javier Herrera; Alberto Guillén (Comput. Hum. Behav., 2016)

Decision Support System to Determine Intention to Use Mobile Payment Systems on Social Networks: A Methodological Analysis. - Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Francisco J. Liébana-Cabanillas (Int. J. Intell. Syst., 2016)

Combination of EEG Data Time and Frequency Representations in Deep Networks for Sleep Stage Classification. - Martí Manzano; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (ICIC (2), 2017)

Breast Cancer Microarray and RNASeq Data Integration Applied to Classification. - Daniel Castillo; Juan Manuel Galvez; Luis Javier Herrera; Ignacio Rojas (IWANN (1), 2017)

Deep Learning Using EEG Data in Time and Frequency Domains for Sleep Stage Classification. - Martí Manzano; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (IWANN (1), 2017)

Ontological modeling of motivational messages for physical activity coaching. - Claudia Villalonga; Harm op den Akker; Hermie Hermens; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Olga Valenzuela; Oresti Banos (PervasiveHealth, 2017)

Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications. - Claudia Villalonga; Harm op den Akker; Hermie Hermens; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Olga Valenzuela; Oresti Banos (UCAmI, 2017)

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling. - Daniel Castillo; Juan Manuel Galvez; Luis Javier Herrera; Belén San Román; Fernando Rojas 001; Ignacio Rojas (BMC Bioinform., 2017)

Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows. - Oresti Banos; Juan Manuel Galvez; Miguel Damas; Alberto Guillén; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas; Claudia Villalonga (IWANN (1), 2019)

Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN. - Francisco Carrillo-Perez; Luis Javier Herrera; Juan Miguel Carceller; Alberto Guillén (IWANN (1), 2019)

Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models. - Sara González; Daniel Castillo; Juan Manuel Galvez; Ignacio Rojas; Luis Javier Herrera (IWANN (2), 2019)

Enhancing Breast Cancer Classification via Information and Multi-model Integration. - Juan Carlos Morales; Francisco Carrillo-Perez; Daniel Castillo-Secilla; Ignacio Rojas; Luis Javier Herrera (IWBBIO, 2020)

A Comparative Analysis of Machine Learning Techniques for Muon Count in UHECR Extensive Air-Showers. - Alberto Guillén; José Martínez; Juan Miguel Carceller; Luis Javier Herrera (Entropy, 2020)

Composition Classification of Ultra-High Energy Cosmic Rays. - Luis Javier Herrera; Carlos José Todero Peixoto; Oresti Baños; Juan Miguel Carceller; Francisco Carrillo-Perez; Alberto Guillén (Entropy, 2020)

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets. - Juan Manuel Galvez; Daniel Castillo-Secilla; Luis Javier Herrera; Olga Valenzuela; Octavio Caba; José C. Prados; Francisco M. Ortuño Guzman; Ignacio Rojas (IEEE J. Biomed. Health Informatics, 2020)

COVID-19 Biomarkers Detection Using 'KnowSeq' R Package. - Javier Bajo-Morales; Daniel Castillo-Secilla; Luis Javier Herrera; Ignacio Rojas (BIOMESIP, 2021)

Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer. - Francisco Carrillo-Perez; Juan Carlos Morales; Daniel Castillo-Secilla; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (BIOMESIP, 2021)

COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation. - Jesús Toledano Pavón; Juan Carlos Morales Vega; Francisco Carrillo-Perez; Luis Javier Herrera; Ignacio Rojas (BIOMESIP, 2021)

Ensemble Models for Covid Prediction in X-Ray Images. - Juan Carlos Morales Vega; Francisco Carrillo-Perez; Jesús Toledano Pavón; Luis Javier Herrera Maldonado; Ignacio Rojas Ruiz (IWANN (1), 2021)

Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. - Francisco Carrillo-Perez; Juan Carlos Morales; Daniel Castillo-Secilla; Yésica Molina-Castro; Alberto Guillén; Ignacio Rojas; Luis Javier Herrera (BMC Bioinform., 2021)

KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge. - Daniel Castillo-Secilla; Juan Manuel Galvez; Francisco Carrillo-Perez; Marta Verona-Almeida; Daniel Redondo-Sánchez; Francisco M. Ortuño Guzman; Luis Javier Herrera; Ignacio Rojas (Comput. Biol. Medicine, 2021)

Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals. - Francisco Carrillo-Perez; Luis Javier Herrera; Juan Miguel Carceller; Alberto Guillén (Neural Comput. Appl., 2021)

Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite. - Daniel Castillo-Secilla; Daniel Redondo-Sánchez; Luis Javier Herrera; Ignacio Rojas; Alberto Guillén (IWBBIO (1), 2022)

COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model. - Sergio Ortiz; Juan Carlos Morales; Fernando Rojas 001; Olga Valenzuela; Luis Javier Herrera; Ignacio Rojas (IWBBIO (1), 2022)

Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure. - Juan Carlos Gómez-López; Daniel Castillo-Secilla; Jesús González 001; Luis Javier Herrera; Ignacio Rojas (IWANN (1), 2023)

Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool. - Lucía Almorox; Luis Javier Herrera; Francisco M. Ortuño; Ignacio Rojas (IWBBIO (2), 2023)

Speeding up Simulations for Radiotherapy Research by Means of Machine Learning. - I. Fernández; C. Ovejero; Luis Javier Herrera; Ignacio Rojas; Francisco Carrillo-Perez; Alberto Guillén (IWBBIO (1), 2023)

Novel Gene Signature for Bladder Cancer Stage Identification. - Iñaki Hulsman; Luis Javier Herrera; Daniel Castillo; Francisco M. Ortuño (IWBBIO (1), 2023)

PyFCS: A new Python library to create and manipulate Fuzzy Color Spaces. - Rafael Vazquez-Conejo; María Tejada Casado; Luis Javier Herrera; Razvan Ghinea; José Manuel Soto-Hidalgo (FUZZ, 2024)

Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches. - Sergio Ortiz; Ignacio Rojas-Valenzuela; Fernando Rojas 001; Olga Valenzuela; Luis Javier Herrera; Ignacio Rojas (Comput. Biol. Medicine, 2024)