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2020 – today
- 2025
[j129]Javier Barbero-Gómez, Ricardo P. M. Cruz
, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez:
CNN explanation methods for ordinal regression tasks. Neurocomputing 615: 128878 (2025)- [j128]Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas Yun, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez:
dlordinal: A Python package for deep ordinal classification. Neurocomputing 622: 129305 (2025) - [j127]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez:
Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification. IEEE Trans. Cybern. 55(2): 537-549 (2025) - [j126]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez:
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4765-4778 (2025) - 2024
- [j125]Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas:
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. Eng. Appl. Artif. Intell. 133: 108462 (2024) - [j124]Francisco Bérchez-Moreno, Juan Carlos Fernández, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Fusion of standard and ordinal dropout techniques to regularise deep models. Inf. Fusion 106: 102299 (2024) - [j123]Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio:
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. Knowl. Based Syst. 300: 112223 (2024) - [j122]Alejandro Morales-Martín, Francisco Javier Mesas-Carrascosa, Pedro Antonio Gutiérrez, Fernando-Juan Pérez-Porras, Víctor Manuel Vargas, César Hervás-Martínez:
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds. Sensors 24(7): 2168 (2024) - [c117]Víctor Manuel Vargas Yun, Antonio M. Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Age Estimation Using Soft Labelling Ordinal Classification Approaches. CAEPIA 2024: 40-49 - [c116]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification. CAEPIA 2024: 50-60 - [c115]Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio:
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. IWINAC (2) 2024: 283-292 - [c114]Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. IWINAC (2) 2024: 293-302 - [i14]F. J. Jimenez-Romero, David Guijo-Rubio, F. R. Lara-Raya, A. Ruiz-Gonzalez, César Hervás-Martínez:
Validation of artificial neural networks to model the acoustic behaviour of induction motors. CoRR abs/2401.15377 (2024) - [i13]Antonio J. Tallón-Ballesteros, César Hervás-Martínez:
A two-stage algorithm in evolutionary product unit neural networks for classification. CoRR abs/2402.06622 (2024) - [i12]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez:
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions. CoRR abs/2407.12417 (2024) - [i11]Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez:
dlordinal: a Python package for deep ordinal classification. CoRR abs/2407.17163 (2024) - [i10]Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Splitting criteria for ordinal decision trees: an experimental study. CoRR abs/2412.13697 (2024) - 2023
- [j121]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. Appl. Soft Comput. 138: 110191 (2023) - [j120]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez:
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. Comput. Ind. 144: 103786 (2023) - [j119]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. Eng. Appl. Artif. Intell. 123(Part C): 106463 (2023) - [j118]Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2. Expert Syst. Appl. 225: 120103 (2023) - [j117]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez:
Soft labelling based on triangular distributions for ordinal classification. Inf. Fusion 93: 258-267 (2023) - [j116]Víctor Manuel Vargas, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. Inf. Sci. 648: 119606 (2023) - [j115]Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. Neural Process. Lett. 55(5): 5299-5330 (2023) - [j114]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez:
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1478-1488 (2023) - [c113]Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio:
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. IWANN (2) 2023: 505-516 - [c112]Marcos Rivera-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Briceño, César Hervás-Martínez, David Guijo-Rubio:
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. IWANN (2) 2023: 517-528 - [c111]Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. IWANN (2) 2023: 529-540 - [c110]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Dictionary-Based Approach to Time Series Ordinal Classification. IWANN (2) 2023: 541-552 - [i9]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Dictionary-based approach to Time Series Ordinal Classification. CoRR abs/2305.09288 (2023) - [i8]Víctor Manuel Vargas, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez:
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. CoRR abs/2305.10059 (2023) - [i7]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez:
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification. CoRR abs/2306.10084 (2023) - 2022
- [j113]Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez:
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain. Expert Syst. Appl. 207: 117977 (2022) - [j112]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni:
A novel deep ordinal classification approach for aesthetic quality control classification. Neural Comput. Appl. 34(14): 11625-11639 (2022) - [j111]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Unimodal regularisation based on beta distribution for deep ordinal regression. Pattern Recognit. 122: 108310 (2022) - [c109]Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Clustering of COVID-19 Time Series Incidence Intensity in Andalusia, Spain. IWINAC (1) 2022: 462-471 - [c108]Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification. SOCO 2022: 146-155 - [c107]Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni:
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. SOCO 2022: 239-249 - 2021
- [j110]Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez:
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. Expert Syst. Appl. 182: 115271 (2021) - [j109]David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez:
Time-Series Clustering Based on the Characterization of Segment Typologies. IEEE Trans. Cybern. 51(11): 5409-5422 (2021) - [c106]Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA 2021: 33-43 - [c105]David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification. CAEPIA 2021: 44-53 - [c104]Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. IWANN (2) 2021: 3-13 - [i6]Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas, Juan-Antonio Vallejo-Casas, César Hervás-Martínez:
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. CoRR abs/2106.05230 (2021) - 2020
- [j108]Alejandro Martín, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez:
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. Appl. Soft Comput. 90: 106144 (2020) - [j107]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Cumulative link models for deep ordinal classification. Neurocomputing 401: 48-58 (2020) - [j106]David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio M. Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez:
Prediction of convective clouds formation using evolutionary neural computation techniques. Neural Comput. Appl. 32(17): 13917-13929 (2020) - [j105]Manuel Dorado-Moreno, Nicolò Navarin, Pedro Antonio Gutiérrez, Luis Prieto, Alessandro Sperduti, Sancho Salcedo-Sanz, César Hervás-Martínez:
Multi-task learning for the prediction of wind power ramp events with deep neural networks. Neural Networks 123: 401-411 (2020) - [j104]Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Laura Cornejo-Bueno, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez:
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing. Neural Process. Lett. 52(1): 57-74 (2020) - [c103]Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho:
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. CEC 2020: 1-8 - [c102]David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez:
Time series ordinal classification via shapelets. IJCNN 2020: 1-8 - [c101]David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez:
Ordinal Versus Nominal Time Series Classification. AALTD@PKDD/ECML 2020: 19-29
2010 – 2019
- 2019
- [j103]Juan Carlos Fernández, Mariano Carbonero-Ruz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks. Appl. Intell. 49(9): 3447-3463 (2019) - [j102]María Pérez-Ortiz, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, Athanasia Nikolaou, Francisco Fernández-Navarro, César Hervás-Martínez:
On the use of evolutionary time series analysis for segmenting paleoclimate data. Neurocomputing 326-327: 3-14 (2019) - [j101]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Ángel Carmona-Poyato, César Hervás-Martínez:
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation. Neurocomputing 353: 45-55 (2019) - [j100]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
Dynamical memetization in coral reef optimization algorithms for optimal time series approximation. Prog. Artif. Intell. 8(2): 253-262 (2019) - [c100]María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez:
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. AAAI 2019: 4715-4722 - [c99]David Guijo-Rubio, Pedro J. Villalón-Vaquero, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, Javier Briceño, César Hervás-Martínez:
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset. IDEAL (2) 2019: 97-104 - [c98]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás:
Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) 2019: 441-451 - [i5]María Pérez-Ortiz, Peter Tiño, Rafal Mantiuk, César Hervás-Martínez:
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets. CoRR abs/1903.10022 (2019) - [i4]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Deep ordinal classification based on cumulative link models. CoRR abs/1905.13392 (2019) - 2018
- [j99]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series. Appl. Soft Comput. 63: 139-153 (2018) - [j98]Javier Sánchez-Monedero, María Pérez-Ortiz, Aurora Sáez, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Partial order label decomposition approaches for melanoma diagnosis. Appl. Soft Comput. 64: 341-355 (2018) - [j97]Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Carlos Casanova-Mateo, Julia Sanz-Justo, Sancho Salcedo-Sanz, César Hervás-Martínez:
Efficient fog prediction with multi-objective evolutionary neural networks. Appl. Soft Comput. 70: 347-358 (2018) - [j96]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Francisco José Martínez-Estudillo, César Hervás-Martínez:
Simultaneous optimisation of clustering quality and approximation error for time series segmentation. Inf. Sci. 442-443: 186-201 (2018) - [j95]Francisco Fernández-Navarro, Maria Angeles de la Cruz, Pedro Antonio Gutiérrez, Adiel Castaño, César Hervás-Martínez:
Time series forecasting by recurrent product unit neural networks. Neural Comput. Appl. 29(3): 779-791 (2018) - [j94]Juan Carlos Fernández, Manuel Cruz-Ramírez, César Hervás-Martínez:
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms. Neural Comput. Appl. 30(1): 289-305 (2018) - [c97]Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. BIOMA 2018: 126-137 - [c96]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series. CAEPIA 2018: 209-218 - [c95]David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. IDEAL (2) 2018: 171-179 - [c94]Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, Luis Prieto, César Hervás-Martínez:
Wind Power Ramp Events Ordinal Prediction Using Minimum Complexity Echo State Networks. IDEAL (2) 2018: 180-187 - [i3]David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, Alicia Troncoso, César Hervás-Martínez:
Time series clustering based on the characterisation of segment typologies. CoRR abs/1810.11624 (2018) - 2017
- [j93]Manuel Dorado-Moreno, María Pérez-Ortiz, Pedro Antonio Gutiérrez, Rubén Ciria, Javier Briceño, César Hervás-Martínez:
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem. Artif. Intell. Medicine 77: 1-11 (2017) - [j92]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, María Dolores Ayllón-Terán, N. Heaton, Rubén Ciria, Javier Briceño, César Hervás-Martínez:
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation. Knowl. Based Syst. 123: 75-87 (2017) - [j91]Antonio Manuel Durán-Rosal, Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm. Neural Process. Lett. 46(3): 767-790 (2017) - [j90]Antonio Manuel Durán-Rosal, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation. Prog. Artif. Intell. 6(1): 59-66 (2017) - [c93]María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez:
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. IWANN (2) 2017: 525-537 - [c92]Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez:
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. IWANN (1) 2017: 673-684 - [c91]Manuel Dorado-Moreno, Laura Cornejo-Bueno, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez:
Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction. IWANN (1) 2017: 708-719 - 2016
- [j89]María Pérez-Ortiz, José Manuel Peñá-Barragán, Pedro Antonio Gutiérrez, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados:
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery. Expert Syst. Appl. 47: 85-94 (2016) - [j88]Adiel Castaño, Francisco Fernández-Navarro, Annalisa Riccardi, César Hervás-Martínez:
Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis. Neural Comput. Appl. 27(6): 1749-1760 (2016) - [j87]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez:
Semi-supervised learning for ordinal Kernel Discriminant Analysis. Neural Networks 84: 57-66 (2016) - [j86]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
A Study on Multi-Scale Kernel Optimisation via Centered Kernel-Target Alignment. Neural Process. Lett. 44(2): 491-517 (2016) - [j85]M. Pérez-Ortiz, Manuel Fernández Delgado, Eva Cernadas, R. Domínguez-Petit, Pedro Antonio Gutiérrez, César Hervás-Martínez:
On the Use of Nominal and Ordinal Classifiers for the Discrimination of States of Development in Fish Oocytes. Neural Process. Lett. 44(2): 555-570 (2016) - [j84]Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez:
Ordinal Regression Methods: Survey and Experimental Study. IEEE Trans. Knowl. Data Eng. 28(1): 127-146 (2016) - [j83]Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images. IEEE Trans. Medical Imaging 35(4): 1036-1045 (2016) - [j82]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Oversampling the Minority Class in the Feature Space. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1947-1961 (2016) - [c90]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez:
Learning from Label Proportions via an Iterative Weighting Scheme and Discriminant Analysis. CAEPIA 2016: 79-88 - [c89]Manuel Dorado-Moreno, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, Luis Prieto, Sancho Salcedo-Sanz, César Hervás-Martínez:
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. CAEPIA 2016: 300-309 - [c88]Antonio Manuel Durán-Rosal, Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez:
On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm. CAEPIA 2016: 418-427 - [c87]Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez Peña, Francisco José Martínez-Estudillo, César Hervás-Martínez:
Time Series Representation by a Novel Hybrid Segmentation Algorithm. HAIS 2016: 163-173 - [c86]Javier Sánchez-Monedero, Aurora Sáez, María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Classification of Melanoma Presence and Thickness Based on Computational Image Analysis. HAIS 2016: 427-438 - [c85]Manuel Dorado-Moreno, María Pérez-Ortiz, María Dolores Ayllón-Terán, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Ordinal Evolutionary Artificial Neural Networks for Solving an Imbalanced Liver Transplantation Problem. HAIS 2016: 451-462 - [c84]María Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. HAIS 2016: 597-608 - [c83]María Pérez-Ortiz, Aurora Sáez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Tackling the ordinal and imbalance nature of a melanoma image classification problem. IJCNN 2016: 2156-2163 - [c82]Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez:
Representing ordinal input variables in the context of ordinal classification. IJCNN 2016: 2174-2181 - [c81]Antonio Manuel Durán-Rosal, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments. SSCI 2016: 1-8 - [c80]María Pérez-Ortiz, Pedro Antonio Gutiérrez, José M. Peña, Jorge Torres-Sánchez, Francisca López-Granados, César Hervás-Martínez:
Machine learning paradigms for weed mapping via unmanned aerial vehicles. SSCI 2016: 1-8 - [c79]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez:
Adapting linear discriminant analysis to the paradigm of learning from label proportions. SSCI 2016: 1-7 - 2015
- [j81]M. Pérez-Ortiz, José Manuel Peñá-Barragán, Pedro Antonio Gutiérrez, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados:
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method. Appl. Soft Comput. 37: 533-544 (2015) - [j80]Juan Carlos Fernández, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Enrique Alexandre, César Hervás-Martínez:
Significant wave height and energy flux range forecast with machine learning classifiers. Eng. Appl. Artif. Intell. 43: 44-53 (2015) - [j79]Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Classification of countries' progress toward a knowledge economy based on machine learning classification techniques. Expert Syst. Appl. 42(1): 562-572 (2015) - [j78]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez:
Kernelising the Proportional Odds Model through kernel learning techniques. Neurocomputing 164: 23-33 (2015) - [j77]Mercedes Torres-Jiménez, Carlos R. García-Alonso, Javier Sánchez-Monedero, Salud Millán-Lara, César Hervás-Martínez:
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. Prog. Artif. Intell. 4(3-4): 59-67 (2015) - [j76]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao:
Graph-Based Approaches for Over-Sampling in the Context of Ordinal Regression. IEEE Trans. Knowl. Data Eng. 27(5): 1233-1245 (2015) - [c78]Carlos R. García-Alonso, César Hervás-Martínez, Salud Millán-Lara, Mercedes Torres-Jiménez:
Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency. CAEPIA 2015: 92-102 - [c77]Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Overcoming the Linearity of Ordinal Logistic Regression Adding Non-linear Covariates from Evolutionary Hybrid Neural Network Models. CAEPIA 2015: 301-311 - [c76]Antonio Manuel Durán-Rosal, Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series. IWANN (2) 2015: 69-79 - [c75]Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Networks Models. IWANN (2) 2015: 80-91 - [c74]Pedro Antonio Gutiérrez, Juan Carlos Fernández, María Pérez-Ortiz, Laura Cornejo-Bueno, Enrique Alexandre-Cortizo, Sancho Salcedo-Sanz, César Hervás-Martínez:
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model. IWANN (2) 2015: 92-102 - [c73]María Pérez-Ortiz, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Jorge Torres-Sánchez, César Hervás-Martínez, Francisca López-Granados:
An Experimental Comparison for the Identification of Weeds in Sunflower Crops via Unmanned Aerial Vehicles and Object-Based Analysis. IWANN (1) 2015: 252-262 - 2014
- [j75]M. Pérez-Ortiz, Manuel Cruz-Ramírez, María Dolores Ayllón-Terán, N. Heaton, Rubén Ciria, César Hervás-Martínez:
An organ allocation system for liver transplantation based on ordinal regression. Appl. Soft Comput. 14: 88-98 (2014) - [j74]Javier Sánchez-Monedero, Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A guided data projection technique for classification of sovereign ratings: The case of European Union 27. Appl. Soft Comput. 22: 339-350 (2014) - [j73]Javier Sánchez-Monedero, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, César Hervás-Martínez:
Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier. Eng. Appl. Artif. Intell. 34: 199-207 (2014) - [j72]Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Addressing remitting behavior using an ordinal classification approach. Expert Syst. Appl. 41(10): 4752-4761 (2014) - [j71]Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez:
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification. Neurocomputing 135: 21-31 (2014) - [j70]Laura García-Hernández, M. Pérez-Ortiz, Antonio Arauzo-Azofra, Lorenzo Salas-Morera, César Hervás-Martínez:
An evolutionary neural system for incorporating expert knowledge into the UA-FLP. Neurocomputing 135: 69-78 (2014) - [j69]M. Pérez-Ortiz, Monica-de la Paz-Marin, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Classification of EU countries' progress towards sustainable development based on ordinal regression techniques. Knowl. Based Syst. 66: 178-189 (2014) - [j68]Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Ordinal regression neural networks based on concentric hyperspheres. Neural Networks 59: 51-60 (2014) - [j67]José M. Peña, Pedro Antonio Gutiérrez, César Hervás-Martínez, Johan Six, Richard E. Plant, Francisca López-Granados:
Object-Based Image Classification of Summer Crops with Machine Learning Methods. Remote. Sens. 6(6): 5019-5041 (2014) - [j66]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Projection-Based Ensemble Learning for Ordinal Regression. IEEE Trans. Cybern. 44(5): 681-694 (2014) - [c72]Manuel Cruz-Ramírez, Monica-de la Paz-Marin, M. Pérez-Ortiz, César Hervás-Martínez:
Time Series Segmentation and Statistical Characterisation of the Spanish Stock Market Ibex-35 Index. HAIS 2014: 74-85 - [c71]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro:
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm. HAIS 2014: 318-329 - [c70]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates. HAIS 2014: 454-465 - [c69]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Incorporating Privileged Information to Improve Manifold Ordinal Regression. IJCCI (NCTA) 2014: 187-194 - [c68]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Learning Kernel Label Decompositions for Ordinal Classification Problems. IJCCI (NCTA) 2014: 218-225 - 2013
- [j65]Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata:
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks. Artif. Intell. Medicine 58(1): 37-49 (2013) - [j64]Lorenzo Salas-Morera, Antonio Arauzo-Azofra, Laura García-Hernández, Juan M. Palomo-Romero, César Hervás-Martínez:
PpcProject: An educational tool for software project management. Comput. Educ. 69: 181-188 (2013) - [j63]Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto:
Ordinal and nominal classification of wind speed from synoptic pressurepatterns. Eng. Appl. Artif. Intell. 26(3): 1008-1015 (2013) - [j62]M. Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez:
Improvement of accuracy in a sound synthesis method using Evolutionary Product Unit Networks. Expert Syst. Appl. 40(5): 1477-1483 (2013) - [j61]María Dolores Redel-Macías, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Antonio José Cubero-Atienza, César Hervás-Martínez:
Ensembles of evolutionary product unit or RBF neural networks for the identification of sound for pass-by noise test in vehicles. Neurocomputing 109: 56-65 (2013) - [j60]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems. Neurocomputing 114: 107-117 (2013) - [j59]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Exploitation of Pairwise Class Distances for Ordinal Classification. Neural Comput. 25(9): 2450-2485 (2013) - [j58]Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez:
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. Neural Process. Lett. 37(3): 377-392 (2013) - [j57]Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Briceño, Manuel de la Mata:
Memetic Pareto differential evolutionary neural network used to solve an unbalanced liver transplantation problem. Soft Comput. 17(2): 275-284 (2013) - [j56]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Generalised Gaussian radial basis function neural networks. Soft Comput. 17(3): 519-533 (2013) - [j55]Francisco Fernández-Navarro, Pilar Campoy-Muñoz, Monica-de la Paz-Marin, César Hervás-Martínez, Xin Yao:
Addressing the EU Sovereign Ratings Using an Ordinal Regression Approach. IEEE Trans. Cybern. 43(6): 2228-2240 (2013) - [j54]Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao:
Negative Correlation Ensemble Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1836-1849 (2013) - [c67]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Synthetic over-sampling in the empirical feature space. ESANN 2013 - [c66]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. ESANN 2013 - [c65]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Borderline Kernel Based Over-Sampling. HAIS 2013: 472-481 - [c64]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evolutionary Ordinal Extreme Learning Machine. HAIS 2013: 500-509 - [c63]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Javier Sánchez-Monedero, César Hervás-Martínez:
Kernelizing the Proportional Odds Model through the Empirical Kernel Mapping. IWANN (1) 2013: 270-279 - [c62]María Pérez-Ortiz, Rosa Colmenarejo, Juan Carlos Fernández Caballero, César Hervás-Martínez:
Can Machine Learning Techniques Help to Improve the Common Fisheries Policy? IWANN (2) 2013: 278-286 - [c61]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, César Hervás-Martínez:
An n-Spheres Based Synthetic Data Generator for Supervised Classification. IWANN (1) 2013: 613-621 - [c60]Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Addressing Remitting Behavior Using an Ordinal Classification Approach. IWINAC (2) 2013: 326-335 - 2012
- [j53]Francisco Fernández-Navarro, César Hervás-Martínez, Roberto Ruiz, José C. Riquelme:
Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection. Appl. Soft Comput. 12(6): 1787-1800 (2012) - [j52]Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Briceño, Manuel de la Mata:
Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants. Eur. J. Oper. Res. 222(2): 317-327 (2012) - [j51]Adiel Castaño, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Permanent disability classification by combining evolutionary Generalized Radial Basis Function and logistic regression methods. Expert Syst. Appl. 39(9): 8350-8355 (2012) - [j50]Manuel Cruz-Ramírez, César Hervás-Martínez, Montserrat Jurado-Expósito, Francisca López-Granados:
A multi-objective neural network based method for cover crop identification from remote sensed data. Expert Syst. Appl. 39(11): 10038-10048 (2012) - [j49]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Francisca López-Granados:
Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification. Neurocomputing 75(1): 123-134 (2012) - [j48]Manuel Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Structural Distance-Based Crossover for Neural Network Classifiers. Int. J. Pattern Recognit. Artif. Intell. 26(6) (2012) - [j47]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
A two-stage evolutionary algorithm based on sensitivity and accuracy for multi-class problems. Inf. Sci. 197: 20-37 (2012) - [j46]César Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, Emilio G. Ortíz-García, Luis Prieto:
Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms. Neural Comput. Appl. 21(5): 993-1005 (2012) - [c59]Pedro Antonio Gutiérrez, M. Pérez-Ortiz, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez:
An Experimental Study of Different Ordinal Regression Methods and Measures. HAIS (2) 2012: 296-307 - [c58]Francisco Fernández-Navarro, Huanhuan Chen, Pedro Antonio Gutiérrez, César Hervás-Martínez, Xin Yao:
Neural Network Ensembles to Determine Growth Multi-classes in Predictive Microbiology. HAIS (2) 2012: 308-318 - [c57]Manuel Dorado-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Ordinal Classification Using Hybrid Artificial Neural Networks with Projection and Kernel Basis Functions. HAIS (2) 2012: 319-330 - [c56]M. Pérez-Ortiz, Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, César Hervás-Martínez:
Hybrid Multi-objective Machine Learning Classification in Liver Transplantation. HAIS (1) 2012: 397-408 - [c55]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez, Javier Briceño, Manuel de la Mata:
An ensemble approach for ordinal threshold models applied to liver transplantation. IJCNN 2012: 1-8 - [c54]M. Pérez-Ortiz, Laura García-Hernández, Lorenzo Salas-Morera, Antonio Arauzo-Azofra, César Hervás-Martínez:
An Ordinal Regression Approach for the Unequal Area Facility Layout Problem. SOCO 2012: 13-21 - [c53]M. Pérez-Ortiz, Antonio Arauzo-Azofra, César Hervás-Martínez, Laura García-Hernández, Lorenzo Salas-Morera:
A System Learning User Preferences for Multiobjective Optimization of Facility Layouts. SOCO 2012: 43-52 - [c52]Manuel Cruz-Ramírez, Juan Carlos Fernández, Antonio Valero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Multiobjective Pareto Ordinal Classification for Predictive Microbiology. SOCO 2012: 153-162 - [c51]Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro:
Approaching System Administration as a Group Project in Computer Engineering Higher Education. CISIS/ICEUTE/SOCO Special Sessions 2012: 331-340 - [i2]Antonio J. Tallón-Ballesteros, Pedro Antonio Gutiérrez Peña, César Hervás-Martínez:
Distribution of the search of evolutionary product unit neural networks for classification. CoRR abs/1205.3336 (2012) - 2011
- [j45]Juan Carlos Fernández, César Hervás, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology. Appl. Soft Comput. 11(1): 534-550 (2011) - [j44]Francisco Fernández-Navarro, César Hervás-Martínez, Manuel Cruz-Ramírez, Pedro Antonio Gutiérrez, Antonio Valero:
Evolutionary q-Gaussian Radial Basis Function Neural Network to determine the microbial growth/no growth interface of Staphylococcus aureus. Appl. Soft Comput. 11(3): 3012-3020 (2011) - [j43]Antonio J. Tallón-Ballesteros, César Hervás-Martínez:
A two-stage algorithm in evolutionary product unit neural networks for classification. Expert Syst. Appl. 38(1): 743-754 (2011) - [j42]Francisco Fernández-Navarro, César Hervás-Martínez, Carlos R. García-Alonso, Mercedes Torres-Jiménez:
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. Expert Syst. Appl. 38(10): 12483-12490 (2011) - [j41]Francisco Fernández-Navarro, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez:
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks. Neurocomputing 74(16): 2502-2510 (2011) - [j40]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz:
Evolutionary q-Gaussian radial basis function neural networks for multiclassification. Neural Networks 24(7): 779-784 (2011) - [j39]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, César Hervás-Martínez:
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers. Neural Process. Lett. 34(2): 101-116 (2011) - [j38]Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Neuro-logistic Models Based on Evolutionary Generalized Radial Basis Function for the Microarray Gene Expression Classification Problem. Neural Process. Lett. 34(2): 117-131 (2011) - [j37]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez:
A dynamic over-sampling procedure based on sensitivity for multi-class problems. Pattern Recognit. 44(8): 1821-1833 (2011) - [j36]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo:
Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks. IEEE Trans. Neural Networks 22(2): 246-263 (2011) - [c50]Manuel Cruz-Ramírez, Juan Carlos Fernández Caballero, Francisco Fernández-Navarro, Javier Briceño, Manuel de la Mata, César Hervás-Martínez:
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients. GECCO (Companion) 2011: 479-486 - [c49]Pedro Antonio Gutiérrez, Manuel Baena-García, Rafael Morales Bueno, César Hervás-Martínez:
Permanent disability classification using hybrid neuro-logistic regression models. HIMA 2011: 46-53 - [c48]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Carlos R. García-Alonso, Luis Salvador-Carulla, Jose Alberto Salinas-Perez, César Hervás-Martínez:
Ordinal classification of depression spatial hot-spots of prevalence. ISDA 2011: 1170-1175 - [c47]Manuel Cruz-Ramírez, César Hervás-Martínez, Javier Sánchez-Monedero, Pedro Antonio Gutiérrez:
A preliminary study of ordinal metrics to guide a multi-objective evolutionary algorithm. ISDA 2011: 1176-1181 - [c46]Javier Sánchez-Monedero, Mariano Carbonero-Ruz, David Becerra-Alonso, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Numerical variable reconstruction from ordinal categories based on probability distributions. ISDA 2011: 1182-1187 - [c45]Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez, Leopoldo Carro-Calvo, Javier Sánchez-Monedero, Luis Prieto:
Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns. ISDA 2011: 1265-1270 - [c44]Manuel Cruz-Ramírez, César Hervás-Martínez, Pedro Antonio Gutiérrez, Javier Briceño, Manuel de la Mata:
Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation. IWANN (2) 2011: 129-136 - [c43]Pedro Antonio Gutiérrez, César Hervás-Martínez:
Hybrid Artificial Neural Networks: Models, Algorithms and Data. IWANN (2) 2011: 177-184 - [c42]Antonio J. Tallón-Ballesteros, César Hervás-Martínez, José C. Riquelme, Roberto Ruiz:
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection. IWINAC (2) 2011: 381-390 - [c41]Manuel Cruz-Ramírez, Juan Carlos Fernández, Francisco Fernández-Navarro, Javier Sánchez-Monedero, César Hervás-Martínez:
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front. SDE 2011: 96-103 - [c40]Adiel Castaño Méndez, Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, Manuel Baena-García, César Hervás-Martínez:
Combining Evolutionary Generalized Radial Basis Function and Logistic Regression Methods for Classification. SOCO 2011: 263-270 - [c39]M. Dolores Redel-Macías, Pedro Antonio Gutiérrez, Antonio J. Cubero-Atienza, César Hervás-Martínez:
Sound Source Identification in Vehicles Using a Combined Linear-Evolutionary Product Unit Neural Network Model. SOCO 2011: 379-386 - [i1]Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer:
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. CoRR abs/1109.2146 (2011) - 2010
- [j35]Carlos R. García-Alonso, Mercedes Torres-Jiménez, César Hervás-Martínez:
Income prediction in the agrarian sector using product unit neural networks. Eur. J. Oper. Res. 204(2): 355-365 (2010) - [j34]César Hervás-Martínez, Pedro Antonio Gutiérrez, José Manuel Peñá-Barragán, Montserrat Jurado-Expósito, Francisca López-Granados:
A logistic radial basis function regression method for discrimination of cover crops in olive orchards. Expert Syst. Appl. 37(12): 8432-8444 (2010) - [j33]Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez:
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology. Evol. Intell. 3(3-4): 187-199 (2010) - [j32]Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez, María Matilda García, Pedro Antonio Gutiérrez:
Classification by evolutionary generalised radial basis functions. Int. J. Hybrid Intell. Syst. 7(4): 239-248 (2010) - [j31]Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano:
Designing multilayer perceptrons using a Guided Saw-tooth Evolutionary Programming Algorithm. Soft Comput. 14(6): 599-613 (2010) - [j30]Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez:
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. IEEE Trans. Neural Networks 21(5): 750-770 (2010) - [c38]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Manuel Cruz-Ramírez, Mariano Carbonero-Ruz:
Evolutionary q-Gaussian Radial Basis Functions for Binary-Classification. HAIS (2) 2010: 280-287 - [c37]Javier Sánchez-Monedero, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz, M. C. Ramírez Moreno, Manuel Cruz-Ramírez:
Evolutionary Learning Using a Sensitivity-Accuracy Approach for Classification. HAIS (2) 2010: 288-295 - [c36]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, Roberto Ruiz, José C. Riquelme:
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection. ICANN (1) 2010: 327-336 - [c35]Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, María Jesús Segovia-Vargas, A. Sanchis, José Antonio Portilla-Figueras, Francisco Fernández-Navarro, César Hervás-Martínez:
Generalized Logistic Regression Models Using Neural Network Basis Functions Applied to the Detection of Banking Crises. IEA/AIE (3) 2010: 1-10 - [c34]Manuel Cruz-Ramírez, Javier Sánchez-Monedero, Francisco Fernández-Navarro, Juan Carlos Fernández, César Hervás-Martínez:
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology. IEA/AIE (3) 2010: 646-655 - [c33]Manuel Cruz-Ramírez, César Hervás-Martínez, Juan Carlos Fernández, Javier Sánchez-Monedero:
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions. IJCNN 2010: 1-8 - [c32]Javier Sánchez-Monedero, Manuel Cruz-Ramírez, Francisco Fernández-Navarro, Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás-Martínez:
On the suitability of Extreme Learning Machine for gene classification using feature selection. ISDA 2010: 507-512 - [c31]Manuel Cruz-Ramírez, Juan Carlos Fernández, Javier Sánchez-Monedero, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez, M. Teresa Lamata:
Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers. ISDA 2010: 513-518
2000 – 2009
- 2009
- [j29]Carlos R. García-Alonso, Jorge Guardiola, César Hervás-Martínez:
Logistic evolutionary product-unit neural networks: Innovation capacity of poor Guatemalan households. Eur. J. Oper. Res. 195(2): 543-551 (2009) - [j28]Mercedes Torres, César Hervás, Carlos García:
Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. Expert Syst. Appl. 36(10): 12225-12235 (2009) - [j27]Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández:
Combined projection and kernel basis functions for classification in evolutionary neural networks. Neurocomputing 72(13-15): 2731-2742 (2009) - [c30]Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández, Francisca López-Granados:
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture. HAIS 2009: 244-251 - [c29]Juan Carlos Fernández, César Hervás, Francisco José Martínez, Pedro Antonio Gutiérrez, Manuel Cruz:
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity. HAIS 2009: 433-441 - [c28]Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández:
MultiLogistic Regression using Initial and Radial Basis Function covariates. IJCNN 2009: 1067-1074 - [c27]Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez:
A Sensitivity Clustering Method for Memetic Training of Radial Basis Function Neural Networks. ISDA 2009: 187-192 - [c26]César Hervás-Martínez, Pedro Antonio Gutiérrez, Juan Carlos Fernández, Sancho Salcedo-Sanz, Antonio Portilla-Figueras, Ángel M. Pérez-Bellido, Luis Prieto:
Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction. ISDA 2009: 193-198 - [c25]Adiel Castaño, César Hervás-Martínez, Pedro Antonio Gutiérrez, Francisco Fernández-Navarro, María Matilda García:
Classification by Evolutionary Generalized Radial Basis Functions. ISDA 2009: 203-208 - [c24]Juan Carlos Fernández, César Hervás-Martínez, Francisco José Martínez, Manuel Cruz:
Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient. ISDA 2009: 408-413 - [c23]Francisco Fernández-Navarro, Pedro Antonio Gutiérrez, César Hervás-Martínez, Juan Carlos Fernández:
A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms. IWINAC (1) 2009: 245-254 - [r1]Pedro Antonio Gutiérrez, César Hervás, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
Multilogistic Regression by Product Units. Encyclopedia of Artificial Intelligence 2009: 1136-1144 - 2008
- [j26]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo:
Evolutionary product-unit neural networks classifiers. Neurocomputing 72(1-3): 548-561 (2008) - [j25]César Hervás-Martínez, Francisco J. Martínez-Estudillo, Mariano Carbonero-Ruz:
Multilogistic regression by means of evolutionary product-unit neural networks. Neural Networks 21(7): 951-961 (2008) - [j24]Sebastián Ventura, Cristóbal Romero, Amelia Zafra, Jose Antonio Delgado, César Hervás:
JCLEC: a Java framework for evolutionary computation. Soft Comput. 12(4): 381-392 (2008) - [j23]Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas:
Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Comput. 12(8): 809-833 (2008) - [c22]Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez, César Hervás, Juan Carlos Fernández:
Evolutionary learning by a sensitivity-accuracy approach for multi-class problems. IEEE Congress on Evolutionary Computation 2008: 1581-1588 - [c21]Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás:
Data Mining Algorithms to Classify Students. EDM 2008: 8-17 - [c20]Sebastián Ventura, Cristóbal Romero, César Hervás:
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM 2008: 177-181 - [c19]Pedro Antonio Gutiérrez, Juan Carlos Fernández, César Hervás, Francisca López-Granados, Montserrat Jurado-Expósito, José Manuel Peñá-Barragán:
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data. HIS 2008: 625-630 - [c18]Juan Carlos Fernández, Pedro Antonio Gutiérrez, César Hervás, Francisco José Martínez:
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes. HIS 2008: 631-636 - [p1]Pedro Antonio Gutiérrez, César Hervás-Martínez, Mariano Carbonero-Ruz, Juan Carlos Fernández:
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks. Innovations in Hybrid Intelligent Systems 2008: 88-95 - 2007
- [j22]Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas:
Improving crossover operator for real-coded genetic algorithms using virtual parents. J. Heuristics 13(3): 265-314 (2007) - [j21]César Hervás-Martínez, Francisco J. Martínez-Estudillo:
Logistic regression using covariates obtained by product-unit neural network models. Pattern Recognit. 40(1): 52-64 (2007) - [c17]Pedro Antonio Gutiérrez, César Hervás, Manuel Lozano:
Saw-Tooth Algorithm Guided by the Variance of Best Individual Distributions for Designing Evolutionary Neural Networks. IDEAL 2007: 1131-1140 - [c16]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Pedro Antonio Gutiérrez Peña:
Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification. IWANN 2007: 351-358 - [c15]César Hervás, Francisco José Martínez, Mariano Carbonero-Ruz, Cristóbal Romero, Juan Carlos Fernández:
Evolutionary Combining of Basis Function Neural Networks for Classification. IWINAC (1) 2007: 447-456 - 2006
- [j20]Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero:
Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artif. 10(29): 19-30 (2006) - [j19]Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales:
Web-based adaptive training simulator system for cardiac life support. Artif. Intell. Medicine 38(1): 67-78 (2006) - [j18]Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas:
Evolutionary product unit based neural networks for regression. Neural Networks 19(4): 477-486 (2006) - [j17]Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez:
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Networks 19(4): 514-528 (2006) - [j16]Alfonso C. Martínez-Estudillo, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Nicolás García-Pedrajas:
Hybridization of evolutionary algorithms and local search by means of a clustering method. IEEE Trans. Syst. Man Cybern. Part B 36(3): 534-545 (2006) - [c14]Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra:
An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. AH 2006: 203-212 - [c13]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura:
Evolutionary Product-Unit Neural Networks for Classification. IDEAL 2006: 1320-1328 - [c12]César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN 2006: 1525-1532 - 2005
- [j15]Mercedes Torres, César Hervás-Martínez, Francisco Amador:
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. Comput. Oper. Res. 32: 2653-2670 (2005) - [j14]Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas:
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. J. Artif. Intell. Res. 24: 1-48 (2005) - [j13]César Hervás-Martínez, Alfonso Carlos Martínez-Estudillo, Manuel Silva, Juan Manuel Serrano:
Improving the Quantification of Highly Overlapping Chromatographic Peaks by Using Product Unit Neural Networks Modeled by an Evolutionary Algorithm. J. Chem. Inf. Model. 45(4): 894-903 (2005) - [j12]César Hervás-Martínez, Domingo Ortiz-Boyer:
Analyzing the statistical features of CIXL2 crossover offspring. Soft Comput. 9(4): 270-279 (2005) - [j11]Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer:
Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evol. Comput. 9(3): 271-302 (2005) - [c11]Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez:
Crossover effect over penalty methods in function optimization with constraints. Congress on Evolutionary Computation 2005: 1127-1134 - [c10]Francisco J. Martínez-Estudillo, César Hervás-Martínez, Alfonso C. Martínez-Estudillo, Domingo Ortiz-Boyer:
Memetic Algorithms to Product-Unit Neural Networks for Regression. IWANN 2005: 83-90 - [c9]Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez:
Cascade Ensembles. IWANN 2005: 598-603 - 2004
- [j10]Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez:
Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing 56: 257-283 (2004) - [j9]César Hervás-Martínez, Manuel Silva, Juan Manuel Serrano, Eva Orejuela:
Heuristic Extraction of Rules in Pruned Artificial Neural Networks Models Used for Quantifying Highly Overlapping Chromatographic Peaks. J. Chem. Inf. Model. 44(5): 1576-1584 (2004) - 2003
- [j8]Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez:
COVNET: a cooperative coevolutionary model for evolving artificial neural networks. IEEE Trans. Neural Networks 14(3): 575-596 (2003) - [c8]Rafael del Castillo Gomariz, César Hervás-Martínez, Sebastián Ventura, Domingo Ortiz-Boyer:
Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. CAEPIA 2003: 177-186 - [c7]Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez:
Node Level Crossover Applied to Neural Network Evolution. IWANN (1) 2003: 518-525 - 2002
- [j7]Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez:
Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks 15(10): 1259-1278 (2002) - [c6]César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas:
Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. PPSN 2002: 153-161 - [c5]Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas:
Crossover Operator Effect in Function Optimization with Constraints. PPSN 2002: 184-193 - 2001
- [j6]César Hervás, Rocío Toledo, Manuel Silva:
Use of Pruned Computational Neural Networks for Processing the Response of Oscillating Chemical Reactions with a View to Analyzing Nonlinear Multicomponent Mixtures. J. Chem. Inf. Comput. Sci. 41(4): 1083-1092 (2001) - [c4]Domingo Ortiz-Boyer, César Hervás-Martínez, José Muñoz-Pérez:
Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods. ESANN 2001: 193-198 - [c3]César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva:
A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. ESANN 2001: 347-352 - [c2]Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez:
Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. IWANN (1) 2001: 645-652 - 2000
- [j5]César Hervás, José Antonio Algar, Manuel Silva:
Correction of Temperature Variations in Kinetic-Based Determinations by Use of Pruning Computational Neural Networks in Conjunction with Genetic Algorithms. J. Chem. Inf. Comput. Sci. 40(3): 724-731 (2000)
1990 – 1999
- 1998
- [j4]César Hervás, Sebastián Ventura, J. Martínez:
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. Inteligencia Artif. 2(5): 32-37 (1998) - [j3]César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito:
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. J. Chem. Inf. Comput. Sci. 38(6): 1119-1124 (1998) - 1997
- [j2]Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás:
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. J. Chem. Inf. Comput. Sci. 37(2): 287-291 (1997) - [j1]Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás:
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. J. Chem. Inf. Comput. Sci. 37(3): 517-521 (1997) - 1992
- [c1]César Hervás-Martínez, E. J. Romero Soto, Nicolás García-Pedrajas, Rafael Medina Carnicer:
Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. IPMU 1992: 351-360
Coauthor Index
Juan Carlos Fernández 0001
aka: Juan Carlos Fernández Caballero
aka: Juan Carlos Fernández Caballero
Antonio M. Gómez-Orellana
aka: Antonio Manuel Gómez-Orellana
aka: Antonio Manuel Gómez-Orellana
Pedro Antonio Gutiérrez
aka: Pedro Antonio Gutiérrez Peña
aka: Pedro Antonio Gutiérrez Peña
[j129] [j128] [j127] [j126] [j125] [j124] [j123] [j122] [c117] [c116] [c115] [c114] [i12] [i11] [i10] [j121] [j120] [j119] [j118] [j117] [j116] [j115] [j114] [c113] [c112] [c111] [c110] [i9] [i8] [i7] [j113] [j112] [j111] [c109] [c108] [c107] [j110] [j109] [c106] [c105] [c104] [i6] [j108] [j107] [j106] [j105] [j104] [c103] [c102] [c101] [j103] [j102] [j101] [j100] [c99] [c98] [i4] [j99] [j98] [j96] [j95] [c97] [c96] [c95] [c94] [i3] [j93] [j92] [j91] [j90] [c92] [c91] [j89] [j87] [j86] [j85] [j84] [j83] [j82] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [j81] [j80] [j79] [j78] [j76] [c77] [c76] [c75] [c74] [c73] [j74] [j73] [j72] [j71] [j69] [j68] [j67] [j66] [c71] [c70] [c69] [c68] [j63] [j62] [j61] [j59] [j57] [j56] [j54] [c67] [c66] [c65] [c64] [c63] [c61] [c60] [j51] [j49] [j48] [j47] [j46] [c59] [c58] [c57] [c55] [c52] [c51] [i2] [j45] [j44] [j41] [j40] [j39] [j38] [j37] [j36] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c40] [c39] [j34] [j32] [j31] [j30] [c38] [c36] [c35] [c32] [c31] [j27] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [r1] [j26] [c22] [c19] [c18] [p1] [c17] [c16] [c13] [c12]
Alfonso C. Martínez-Estudillo
aka: Alfonso Carlos Martínez-Estudillo
aka: Alfonso Carlos Martínez-Estudillo
Francisco J. Martínez-Estudillo
aka: Francisco José Martínez-Estudillo
aka: Francisco José Martínez-Estudillo
Víctor Manuel Vargas Yun
aka: Víctor Manuel Vargas
aka: Víctor Manuel Vargas
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