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2020 – today
- 2024
[j32]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)- [c44]Olga Valenzuela
, Ignacio Rojas-Valenzuela, Peter Glösekötter, Fernando Rojas:
Electrocardiogram and Phonocardiogram Signal Data Fusion Using Deep Learning System. IWBBIO (1) 2024: 290-302 - [e9]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] - [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 II. Lecture Notes in Computer Science 14849, Springer 2024, ISBN 978-3-031-64635-5 [contents] - 2023
- [j31]Olga Valenzuela, Mario Cannataro, Irena Rusur, Jianxin Wang, Zhongming Zhao, Ignacio Rojas:
Advances and challenges in Bioinformatics and Biomedical Engineering: IWBBIO 2020. BMC Bioinform. 24-S(1): 361 (2023) - [j30]Olga Valenzuela, Andreu Català, Davide Anguita, Ignacio Rojas:
New Advances in Artificial Neural Networks and Machine Learning Techniques. Neural Process. Lett. 55(5): 5269-5272 (2023) - [c43]Ignacio Rojas-Valenzuela, Fernando Rojas, Juan Carlos de la Cruz, Peter Glösekötter, Olga Valenzuela:
Deep Learning Systems for the Classification of Cardiac Pathologies Using ECG Signals. IWBBIO (2) 2023: 398-412 - [c42]Ignacio Rojas-Valenzuela, Ignacio Rojas, Elvira Delgado-Márquez, Olga Valenzuela:
Multi-classification of Alzheimer's Disease by NSGA-II Slices Optimization and Fusion Deep Learning. WIVACE 2023: 284-297 - [e7]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] - [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 II. Lecture Notes in Computer Science 13920, Springer 2023, ISBN 978-3-031-34959-1 [contents] - 2022
- [c41]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 - [e5]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] - [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 II. Lecture Notes in Computer Science 13347, Springer 2022, ISBN 978-3-031-07801-9 [contents] - 2021
- [j29]Olga Valenzuela, Fernando Rojas, Ignacio Rojas:
Advanced neural network systems for solving complex real problems. Neural Process. Lett. 53(5): 3049-3053 (2021) - 2020
- [j28]Olga Valenzuela, Fernando Rojas, Ignacio Rojas, Peter Glösekötter:
Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018. BMC Bioinform. 21-S(7): 153 (2020) - [j27]Olga Valenzuela, Fernando Rojas, Ignacio Rojas:
Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017. Neural Process. Lett. 52(1): 1-4 (2020) - [j26]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) - [e3]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
- [e2]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11465, Springer 2019, ISBN 978-3-030-17937-3 [contents] - [e1]Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco M. Ortuño Guzman:
Bioinformatics and Biomedical Engineering - 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11466, Springer 2019, ISBN 978-3-030-17934-2 [contents] - 2018
- [j25]Olga Valenzuela, Xiaoyi Jiang, Antonio Carrillo, Ignacio Rojas:
Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment. Int. J. Neural Syst. 28(9): 1850022:1-1850022:23 (2018) - [c40]Olga Valenzuela, Beatriz Prieto, Elvira Delgado-Márquez, Héctor Pomares, Ignacio Rojas:
Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost. UCAmI 2018: 513 - 2017
- [j24]Francisco J. Estévez, Jesús González, Peter Glösekötter, Olga Valenzuela, Ignacio Rojas:
Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP). Sensors 17(7): 1502 (2017) - [c39]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 - [c38]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 - 2015
- [j23]Francisco M. Ortuño Guzman, Olga Valenzuela, Beatriz Prieto, María José Saéz-Lara, Carolina Torres, Héctor Pomares, Ignacio Rojas:
Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments. Neurocomputing 164: 123-136 (2015) - 2014
- [j22]Rafik Lasri, Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela:
A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance. Int. J. Comput. Intell. Syst. 7(3): 582-594 (2014) - [c37]Francisco M. Ortuño Guzman, Héctor Pomares, Ignacio Rojas Ruiz, Olga Valenzuela:
Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment. CBMS 2014: 557-558 - [c36]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 - [c35]Olga Valenzuela, Belén San Román, Francisco M. Ortuño Guzman, José Luis Bernier Villamor, María José Saéz-Lara, Fernando Rojas, Ignacio Rojas:
Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images. IWBBIO 2014: 1644-1650 - 2013
- [j21]Rafik Lasri, Ignacio Rojas, Héctor Pomares, Olga Valenzuela:
Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller. Adv. Fuzzy Syst. 2013: 658145:1-658145:16 (2013) - [j20]Francisco M. Ortuño Guzman, Olga Valenzuela, Fernando Rojas, Héctor Pomares, Javier Perez-Florido, José M. Urquiza, Ignacio Rojas:
Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns. Bioinform. 29(17): 2112-2121 (2013) - [j19]Fernando Rojas, Rodolfo V. García, Jesús González, Luís Velázquez, Roberto Becerra-García, Olga Valenzuela, Belén San Román:
Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm. Neurocomputing 121: 53-63 (2013) - [j18]Oresti Baños, Miguel Damas, Héctor Pomares, Fernando Rojas, Blanca L. Delgado-Márquez, Olga Valenzuela:
Human activity recognition based on a sensor weighting hierarchical classifier. Soft Comput. 17(2): 333-343 (2013) - [c34]Olga Valenzuela, Miguel Pasadas, Ignacio Rojas, Alberto Guillén, Héctor Pomares:
Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm. FUZZ-IEEE 2013: 1-6 - [c33]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 - [c32]Francisco M. Ortuño Guzman, Olga Valenzuela, Héctor Pomares, Ignacio Rojas:
Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features. IWANN (2) 2013: 150-158 - [c31]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 - [c30]Francisco M. Ortuño Guzman, Olga Valenzuela, Héctor Pomares, Ignacio Rojas:
Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features. IWBBIO 2013: 283-288 - [c29]Olga Valenzuela, Miguel Pasadas, Francisco M. Ortuño Guzman, Ignacio Rojas:
Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. . IWBBIO 2013: 289-295 - [c28]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 - [c27]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
- [j17]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) - [j16]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) - [j15]Héctor Pomares, Ignacio Rojas, Mohammed Awad, Olga Valenzuela:
An enhanced clustering function approximation technique for a radial basis function neural network. Math. Comput. Model. 55(3-4): 286-302 (2012) - [c26]Francisco Estella, Blanca L. Delgado-Márquez, Pablo Rojas, Olga Valenzuela, Belén San Román, Ignacio Rojas:
Advanced system for automously classify brain MRI in neurodegenerative disease. ICMCS 2012: 250-255 - [c25]Hind Tribak, Blanca L. Delgado-Márquez, Pablo Rojas, Olga Valenzuela, Héctor Pomares, Ignacio Rojas:
Statistical analysis of different artificial intelligent techniques applied to Intrusion Detection System. ICMCS 2012: 434-440 - [c24]David Jaramillo, Ignacio Rojas, Olga Valenzuela, Ignacio Garcia, Alberto Prieto:
Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging. IJCNN 2012: 1-8 - 2011
- [j14]Olga Valenzuela, Miguel Pasadas:
A new approach to estimate the interpolation error of fuzzy data using similarity measures of fuzzy numbers. Comput. Math. Appl. 61(6): 1633-1645 (2011) - [j13]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) - [c23]Rodolfo V. García, Fernando Rojas, Jesús González, Luís Velázquez, Roberto Rodríguez, Roberto Becerra-García, Olga Valenzuela:
Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA. IWANN (1) 2011: 323-328 - 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) - [c22]Rodolfo García-Bermúdez, Fernando Rojas Ruiz, Jesús González, Olga Valenzuela, Luís Velázquez, Cira Torres, Roberto Becerra-García:
Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach. ISDA 2010: 237-241
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) - [j10]Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Olga Valenzuela, Beatriz Prieto:
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems. Neurocomputing 72(16-18): 3541-3555 (2009) - [c21]Rodolfo V. García, Fernando Rojas, Jesús González, Belén San Román, Olga Valenzuela, Alberto Prieto, Luís Velázquez, Roberto Rodríguez:
Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2. ICANN (1) 2009: 259-266 - [c20]Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, José Luis Bernier:
Applications in Bio-informatics and Biomedical Engineering. IWANN (1) 2009: 820-828 - [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
- [j9]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) - [j8]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) - [j7]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
- [j6]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) - [j5]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) - [j4]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) - [c19]Olga Valenzuela, Fernando Rojas Ruiz, Ignacio Rojas Ruiz, Maria del Mar Cepero, Francisco Javier Rojas:
A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation. BIOCOMP 2007: 296-300 - 2006
- [j3]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) - 2005
- [j2]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) - [c18]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 - [c17]Olga Valenzuela, Ignacio Rojas Ruiz, Fernando Rojas Ruiz, Luisa Marquez:
Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network. ESANN 2005: 145-150 - [c16]Fernando Rojas, Carlos García Puntonet, Juan Manuel Górriz, Olga Valenzuela:
Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources. ICNC (3) 2005: 863-872 - [c15]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 - [c14]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 - [c13]Fernando Rojas Ruiz, Juan Manuel Górriz, Olga Valenzuela:
Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation. IWANN 2005: 1043-1050 - [c12]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 - 2004
- [c11]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 - [c10]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 - [c9]Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Olga Valenzuela, Mohammed Awad:
MultiGrid-Based Fuzzy Systems for Function Approximation. MICAI 2004: 252-261 - [c8]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 - 2003
- [c7]Olga Valenzuela, Lozano Márquez, Miguel Pasadas, Ignacio Rojas, Manuel Rodríguez, Fernando Rojas:
Analysis of the Functional Block and Operator Involved in Fuzzy System Design. CAEPIA 2003: 157-166 - [c6]Ignacio Rojas, Fernando Rojas, Olga Valenzuela, Alberto Prieto:
The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction. CAEPIA 2003: 566-576 - [c5]Olga Valenzuela, Ignacio Rojas, Fernando Rojas:
Sequential Learning Algorithm of Neural Networks Systems for Time Series. KI 2003: 327-341 - [c4]Olga Valenzuela, Ignacio Rojas, Fernando Rojas:
Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process. WILF 2003: 63-71
1990 – 1999
- 1998
- [j1]Ignacio Rojas, Olga Valenzuela, Mancia Anguita, Alberto Prieto:
Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process. Int. J. Approx. Reason. 19(3-4): 367-389 (1998) - [c3]Francisco A. Ocaña, Olga Valenzuela, Ana M. Aguilera:
A Wavelet Approach to Functional Principal Component Analysis. COMPSTAT 1998: 413-418 - [c2]Ignacio Rojas Ruiz, Mancia Anguita, Eduardo Ros Vidal, Héctor Pomares, Olga Valenzuela, Alberto Prieto:
What are the main factors involved in the design of a Radial Basis Function Network? ESANN 1998: 1-6 - 1997
- [c1]Ignacio Rojas, Olga Valenzuela, Alberto Prieto:
Statistical Analysis of the Main Parameters in the Definition of Radial Bases Function Networks. IWANN 1997: 882-891
Coauthor Index
Francisco M. Ortuño Guzman
aka: Francisco M. Ortuño
aka: Francisco M. Ortuño
Ignacio Rojas
aka: Ignacio Rojas Ruiz
aka: Ignacio Rojas Ruiz
[j32] [e9] [e8] [j31] [j30] [c42] [e7] [e6] [c41] [e5] [e4] [j29] [j28] [j27] [j26] [e3] [e2] [e1] [j25] [c40] [j24] [c39] [c38] [j23] [j22] [c37] [c36] [c35] [j21] [j20] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [j17] [j16] [j15] [c26] [c25] [c24] [j13] [j12] [j11] [j10] [c20] [r1] [j9] [j8] [j7] [j6] [j5] [j4] [c19] [j3] [j2] [c18] [c17] [c15] [c14] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [j1] [c2] [c1]
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