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Luis Javier Herrera
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2020 – today
- 2024
- [j35]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: 107713 (2024) - [c78]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: 1-7 - [e8]Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela:
Bioinformatics and Biomedical Engineering - 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14848, Springer 2024, ISBN 978-3-031-64628-7 [contents] - [e7]Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela:
Bioinformatics and Biomedical Engineering - 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15-17, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14849, Springer 2024, ISBN 978-3-031-64635-5 [contents] - 2023
- [c77]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: 553-562 - [c76]Iñaki Hulsman, Luis Javier Herrera, Daniel Castillo, Francisco M. Ortuño:
Novel Gene Signature for Bladder Cancer Stage Identification. IWBBIO (1) 2023: 93-102 - [c75]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: 155-164 - [c74]Lucía Almorox, Luis Javier Herrera, Francisco M. Ortuño, Ignacio Rojas:
Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool. IWBBIO (2) 2023: 463-477 - [e6]Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part I. Lecture Notes in Computer Science 13919, Springer 2023, ISBN 978-3-031-34952-2 [contents] - [e5]Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12-14, 2023 Proceedings, Part II. Lecture Notes in Computer Science 13920, Springer 2023, ISBN 978-3-031-34959-1 [contents] - 2022
- [c73]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: 404-414 - [c72]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: 442-452 - [e4]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13346, Springer 2022, ISBN 978-3-031-07703-6 [contents] - [e3]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco M. Ortuño:
Bioinformatics and Biomedical Engineering - 9th International Work-Conference, IWBBIO 2022, Maspalomas, Gran Canaria, Spain, June 27-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13347, Springer 2022, ISBN 978-3-031-07801-9 [contents] - 2021
- [j34]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): 454 (2021) - [j33]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: 104387 (2021) - [j32]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): 9153-9169 (2021) - [c71]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: 155-165 - [c70]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: 339-349 - [c69]Javier Bajo-Morales, Daniel Castillo-Secilla, Luis Javier Herrera, Ignacio Rojas:
COVID-19 Biomarkers Detection Using 'KnowSeq' R Package. BIOMESIP 2021: 431-443 - [c68]Juan Carlos Morales Vega, Francisco Carrillo-Perez, Jesús Toledano Pavón, Luis Javier Herrera Maldonado, Ignacio Rojas Ruiz:
Ensemble Models for Covid Prediction in X-Ray Images. IWANN (1) 2021: 559-569 - [e2]Ignacio Rojas, Daniel Castillo-Secilla, Luis Javier Herrera, Héctor Pomares:
Bioengineering and Biomedical Signal and Image Processing - First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings. Lecture Notes in Computer Science 12940, Springer 2021, ISBN 978-3-030-88162-7 [contents] - 2020
- [j31]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): 998 (2020) - [j30]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): 1216 (2020) - [j29]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): 2119-2130 (2020) - [c67]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: 750-760 - [e1]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6-8, 2020, Proceedings. Lecture Notes in Computer Science 12108, Springer 2020, ISBN 978-3-030-45384-8 [contents]
2010 – 2019
- 2019
- [c66]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: 222-232 - [c65]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: 360-367 - [c64]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: 883-894 - 2017
- [j28]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): 506 (2017) - [c63]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: 219-229 - [c62]Daniel Castillo, Juan Manuel Galvez, Luis Javier Herrera, Ignacio Rojas:
Breast Cancer Microarray and RNASeq Data Integration Applied to Classification. IWANN (1) 2017: 123-131 - [c61]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: 132-141 - [c60]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: 355-364 - [c59]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: 340-351 - 2016
- [j27]Francisco J. Liébana-Cabanillas, Luis Javier Herrera, Alberto Guillén:
Variable selection for payment in social networks: Introducing the Hy-index. Comput. Hum. Behav. 56: 45-55 (2016) - [j26]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): 153-172 (2016) - 2015
- [j25]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): 5-26 (2015) - [c58]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: 176-182 - [c57]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: 165-172 - [c56]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: 290-297 - [c55]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: 333-340 - 2014
- [j24]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): 854-869 (2014) - [c54]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: 66-76 - [c53]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: 759-765 - [c52]R. Penafiel, Alberto Guillén, Luis Javier Herrera Maldonado:
Data Recycling of Historical Records and Integration in New Information Systems in Cardiology ervice. IWBBIO 2014: 1631-1633 - [c51]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: 1634-1643 - 2013
- [j23]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): 5439-5447 (2013) - [j22]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) - [j21]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: 226-243 (2013) - [c50]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: 277-282 - [c49]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: 301-306 - [c48]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: 72-79 - [c47]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: 604-612 - [c46]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: 205-214 - [c45]Luis Javier Herrera, Ignacio Rojas, Héctor Pomares, Alberto Guillén, Olga Valenzuela, Oresti Baños:
Classification of MRI Images for Alzheimer's Disease Detection. SocialCom 2013: 846-851 - [c44]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: 1038-1045 - 2012
- [j20]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): 639-650 (2012) - [j19]José M. Urquiza, Ignacio Rojas, Héctor Pomares, Luis Javier Herrera, Javier Perez-Florido, Olga Valenzuela:
Selecting Negative Samples for PPI Prediction Using Hierarchical Clustering Methodology. J. Appl. Math. 2012: 897289:1-897289:23 (2012) - [p2]Alberto Guillén, Dusan Sovilj, Mark van Heeswijk, Luis Javier Herrera, Amaury Lendasse, Héctor Pomares, Ignacio Rojas:
Evolutive Approaches for Variable Selection Using a Non-parametric Noise Estimator. Parallel Architectures and Bioinspired Algorithms 2012: 243-266 - 2011
- [j18]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): 1-21 (2011) - [j17]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio, José M. Urquiza:
Global and local modelling in RBF networks. Neurocomputing 74(16): 2594-2602 (2011) - [j16]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): 2683-2690 (2011) - [c43]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: 247-252 - [c42]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: 253-258 - [c41]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: 393-400 - [c40]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: 373-380 - 2010
- [j15]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): 299-311 (2010) - [j14]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): 1965-1975 (2010) - [j13]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): 2030-2038 (2010) - [j12]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): 465-470 (2010) - [c39]Javier Perez-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: 1-6 - [c38]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: 1-4 - [c37]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: 1-7 - [c36]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: 126-131
2000 – 2009
- 2009
- [j11]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): 895-909 (2009) - [c35]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 - [c34]Luis Javier Herrera, Ginés Rubio, Héctor Pomares, Ben Paechter, Alberto Guillén, Ignacio Rojas:
Strengthening the Forward Variable Selection Stopping Criterion. ICANN (2) 2009: 215-224 - [c33]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: 406-415 - [c32]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: 645-650 - [c31]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: 1263-1267 - [c30]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: 1268-1273 - [c29]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: 49-56 - [c28]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: 853-860 - [p1]Oscar Harari, Luis Javier Herrera, Igor Zwir:
A Hybrid Promoter Analysis Methodology for Prokaryotic Genomes. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 45-65 - [r1]Olga Valenzuela, Ignacio Rojas, F. Rojas, Alberto Guillén, Luis Javier Herrera, Fernando J. Rojas, Maria del Mar Cepero:
Intelligent Classifier for Atrial Fibrillation (ECG). Encyclopedia of Artificial Intelligence 2009: 910-916 - 2008
- [j10]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): 821-845 (2008) - [j9]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): 519-537 (2008) - [j8]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): 75-89 (2008) - 2007
- [j7]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): 32-44 (2007) - [j6]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): 2410-2425 (2007) - [j5]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): 2853-2860 (2007) - [j4]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): 2870-2880 (2007) - [j3]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): 209-225 (2007) - [c27]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: 1-6 - [c26]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Ginés Rubio:
On Incorporating Seasonal Information on Recursive Time Series Predictors. ICANN (2) 2007: 506-515 - [c25]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: 85-92 - [c24]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: 341-350 - [c23]Ginés Rubio, Héctor Pomares, Luis Javier Herrera, Ignacio Rojas:
Kernel Methods Applied to Time Series Forecasting. IWANN 2007: 782-789 - [c22]Alberto Guillén, Ignacio Rojas Ruiz, Jesús González, Héctor Pomares, Luis Javier Herrera:
A First Approach to Birth Weight Prediction Using RBFNNs. IWINAC (1) 2007: 253-260 - 2006
- [j2]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): 2241-2258 (2006) - [c21]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: 1127-1132 - [c20]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Michel Verleysen, Alberto Guillén:
Effective Input Variable Selection for Function Approximation. ICANN (1) 2006: 41-50 - [c19]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: 511-520 - [c18]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: 3175-3180 - [c17]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: 647-656 - 2005
- [j1]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Alberto Prieto:
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy. Fuzzy Sets Syst. 153(3): 403-427 (2005) - [c16]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: 613-624 - [c15]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Jesús González:
New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems. ECSQARU 2005: 980-991 - [c14]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: 272-279 - [c13]Mohammed Awad, Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Alberto Prieto:
Input Variable Selection in Hierarchical RBF Networks. IWANN 2005: 280-288 - [c12]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: 289-296 - [c11]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: 399-406 - [c10]Tobias Jung, Luis Javier Herrera, Bernhard Schölkopf:
Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach. IWANN 2005: 960-967 - [c9]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Olga Valenzuela, Alberto Prieto:
TaSe Model for Long Term Time Series Forecasting. IWANN 2005: 1027-1034 - [c8]Alberto Guillén, Ignacio Rojas, Eduardo Ros, Luis Javier Herrera:
Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals. IWINAC (2) 2005: 538-547 - [c7]Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, Luis Javier Herrera, Olga Valenzuela, Alberto Prieto:
A Possibilistic Approach to RBFN Centers Initialization. RSFDGrC (2) 2005: 174-183 - [c6]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto Guillén, Mohammed Awad, Jesús González:
Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model. RSFDGrC (1) 2005: 402-411 - 2004
- [c5]Luis Javier Herrera, Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, Jesús González, Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. ESANN 2004: 127-132 - [c4]Héctor Pomares, Ignacio Rojas, Luis Javier Herrera, Jesús González, Alberto Prieto:
Fine control of monotonic systems using a global self-learning adaptive fuzzy controller. FUZZ-IEEE 2004: 1299-1303 - [c3]Ignacio Rojas, Fernando Rojas, Héctor Pomares, Luis Javier Herrera, Jesús González, Olga Valenzuela:
The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction. MICAI 2004: 30-39 - [c2]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261 - [c1]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Jesús González, Olga Valenzuela:
Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning. MICAI 2004: 508-516
Coauthor Index
aka: Oresti Banos
aka: Francisco M. Ortuño
aka: Ignacio Rojas Ruiz
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