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Pedro Antonio Gutiérrez
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- affiliation: University of Córdoba, Department of Computer Science and Numerical Analysis, Spain
- affiliation: University of Granada, Spain
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2020 – today
- 2024
- [j88]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) - [j87]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) - [j86]César Peláez-Rodríguez, Jorge Pérez-Aracil, Cosmin Madalin Marina, Luis Prieto-Godino, Carlos Casanova-Mateo, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz:
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic. Knowl. Based Syst. 291: 111556 (2024) - [j85]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) - [j84]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) - [c96]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 - [c95]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 - [c94]Cosmin Madalin Marina, Eugenio Lorente-Ramos, Rafael Ayllón-Gavilán, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz:
Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction. CAEPIA 2024: 223-232 - [c93]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 - [c92]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 - [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) - 2023
- [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [i10]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) - [i9]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) - [i8]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
- [j75]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) - [j74]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) - [j73]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Unimodal regularisation based on beta distribution for deep ordinal regression. Pattern Recognit. 122: 108310 (2022) - [c87]Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández:
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE 2022: 224-235 - [c86]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 - [c85]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 - [c84]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
- [j72]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) - [j71]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) - [c83]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 - [c82]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 - [c81]Francisco J. Rodríguez-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, José Manuel Soto-Hidalgo, Juan Carlos Gámez-Granados:
Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library. FUZZ-IEEE 2021: 1-6 - [c80]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 - [i7]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
- [j70]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) - [j69]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Cumulative link models for deep ordinal classification. Neurocomputing 401: 48-58 (2020) - [j68]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) - [j67]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) - [j66]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) - [c79]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 - [c78]David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez:
Time series ordinal classification via shapelets. IJCNN 2020: 1-8 - [c77]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
- [j65]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) - [j64]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) - [j63]José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García:
Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing 341: 168-182 (2019) - [j62]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) - [j61]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz:
ORCA: A Matlab/Octave Toolbox for Ordinal Regression. J. Mach. Learn. Res. 20: 125:1-125:5 (2019) - [j60]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) - [j59]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. Prog. Artif. Intell. 8(3): 287-292 (2019) - [j58]Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He:
Editorial: Booming of Neural Networks and Learning Systems. IEEE Trans. Neural Networks Learn. Syst. 30(1): 2-10 (2019) - [c76]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 - [c75]David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall:
A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) 2019: 137-144 - [c74]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás:
Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) 2019: 441-451 - [i6]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
A mixture of experts model for predicting persistent weather patterns. CoRR abs/1903.10012 (2019) - [i5]Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Deep ordinal classification based on cumulative link models. CoRR abs/1905.13392 (2019) - 2018
- [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Peter Tiño, Carlos Casanova-Mateo, Sancho Salcedo-Sanz:
A mixture of experts model for predicting persistent weather patterns. IJCNN 2018: 1-8 - [i4]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR abs/1810.09733 (2018) - [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) - [i2]José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García:
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR abs/1811.07155 (2018) - 2017
- [j53]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) - [j52]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) - [j51]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) - [j50]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) - [c68]Pedro Antonio Gutiérrez, María Pérez-Ortiz, Alberto Suárez:
Class Switching Ensembles for Ordinal Regression. IWANN (1) 2017: 408-419 - [c67]Francisco Javier Maestre-García, Carlos García-Martínez, María Pérez-Ortiz, Pedro Antonio Gutiérrez:
An Iterated Greedy Algorithm for Improving the Generation of Synthetic Patterns in Imbalanced Learning. IWANN (2) 2017: 513-524 - [c66]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 - [c65]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 - [c64]Julio Camacho-Cañamón, María J. Carreira, Pedro Antonio Gutiérrez, Ramón Iglesias-Rey:
Estimating Rodent Brain Volume by a Deformable Contour Model. MIUA 2017: 686-697 - 2016
- [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]Pedro Antonio Gutiérrez, Salvador García:
Current prospects on ordinal and monotonic classification. Prog. Artif. Intell. 5(3): 171-179 (2016) - [j44]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) - [j43]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) - [j42]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) - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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
- [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen:
The Benefits of Modeling Slack Variables in SVMs. Neural Comput. 27(4): 954-981 (2015) - [j36]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) - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]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
- [j35]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) - [j34]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) - [j33]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) - [j32]Emilio Corchado, Ajith Abraham, Pedro Antonio Gutiérrez, José Manuel Benítez, Sebastián Ventura:
Special issue: Advances in learning schemes for function approximation. Neurocomputing 135: 1-2 (2014) - [j31]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) - [j30]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) - [j29]Pedro Antonio Gutiérrez, Peter Tiño, César Hervás-Martínez:
Ordinal regression neural networks based on concentric hyperspheres. Neural Networks 59: 51-60 (2014) - [j28]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) - [j27]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Projection-Based Ensemble Learning for Ordinal Regression. IEEE Trans. Cybern. 44(5): 681-694 (2014) - [c46]Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen:
Support Vector Ordinal Regression using Privileged Information. ESANN 2014 - [c45]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 - [c44]M. Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Log-Gamma Distribution Optimisation via Maximum Likelihood for Ordered Probability Estimates. HAIS 2014: 454-465 - [c43]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Incorporating Privileged Information to Improve Manifold Ordinal Regression. IJCCI (NCTA) 2014: 187-194 - [c42]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Learning Kernel Label Decompositions for Ordinal Classification Problems. IJCCI (NCTA) 2014: 218-225 - 2013
- [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez:
Generalised Gaussian radial basis function neural networks. Soft Comput. 17(3): 519-533 (2013) - [j20]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) - [c41]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Synthetic over-sampling in the empirical feature space. ESANN 2013 - [c40]María Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment. ESANN 2013 - [c39]María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Borderline Kernel Based Over-Sampling. HAIS 2013: 472-481 - [c38]Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evolutionary Ordinal Extreme Learning Machine. HAIS 2013: 500-509 - [c37]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 - [c36]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 - [c35]Pilar Campoy-Muñoz, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Addressing Remitting Behavior Using an Ordinal Classification Approach. IWINAC (2) 2013: 326-335 - 2012
- [j19]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) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [c34]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 - [c33]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 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [i1]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
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [j7]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) - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]Pedro Antonio Gutiérrez, César Hervás-Martínez:
Hybrid Artificial Neural Networks: Models, Algorithms and Data. IWANN (2) 2011: 177-184 - [c21]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 - [c20]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 - 2010
- [j6]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) - [j5]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) - [j4]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) - [j3]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) - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [c15]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
- [j2]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) - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]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
- [j1]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) - [c7]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 - [c6]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 - [c5]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
- [c4]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 - [c3]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 - 2006
- [c2]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 - [c1]César Hervás-Martínez, Francisco J. Martínez-Estudillo, Pedro Antonio Gutiérrez:
Classification by means of Evolutionary Product-Unit Neural Networks. IJCNN 2006: 1525-1532
Coauthor Index
aka: Juan Carlos Fernández Caballero
aka: Antonio Manuel Gómez-Orellana
aka: César Hervás
aka: Francisco José Martínez-Estudillo
aka: Víctor Manuel Vargas
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