Pedro Antonio Gutiérrez

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 101

Top Venues

Publications

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)
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 (2023)
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) (2023)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
A Dictionary-Based Approach to Time Series Ordinal Classification. IWANN (2) (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
Soft labelling based on triangular distributions for ordinal classification. Inf. Fusion 93 (2023)
Javier Barbero-Gómez, Ricardo Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. IWANN (2) (2023)
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)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
A Dictionary-based approach to Time Series Ordinal Classification. CoRR (2023)
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 (2023)
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) (2023)
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 (2023)
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)
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 (2022)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Unimodal regularisation based on beta distribution for deep ordinal regression. Pattern Recognit. 122 (2022)
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)
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) (2022)
Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan C. Fernandez
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. CISIS-ICEUTE (2022)
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)
Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. IWANN (2) (2021)
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 (2021)
David Guijo-Rubio, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Norms in the Context of Time Series Ordinal Classification. CAEPIA (2021)
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 (2021)
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)
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) (2021)
Víctor Manuel Vargas, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. CAEPIA (2021)
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) (2020)
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) (2020)
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)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
Ordinal Versus Nominal Time Series Classification. AALTD@PKDD/ECML (2020)
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 (2020)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Cumulative link models for deep ordinal classification. Neurocomputing 401 (2020)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
Time series ordinal classification via shapelets. IJCNN (2020)
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 (2020)
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 (2019)
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 (2019)
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) (2019)
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) (2019)
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 (2019)
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 (2019)
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)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez
Deep ordinal classification based on cumulative link models. CoRR (2019)
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) (2019)
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) (2019)
David Guijo-Rubio, Pedro Antonio Gutiérrez, Romain Tavenard, Anthony J. Bagnall
A Hybrid Approach to Time Series Classification with Shapelets. IDEAL (1) (2019)
Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás
Deep Ordinal Classification Based on the Proportional Odds Model. IWINAC (2) (2019)
Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz
ORCA: A Matlab/Octave Toolbox for Ordinal Regression. J. Mach. Learn. Res. 20 (2019)
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)
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. (2018)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR (2018)
M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR (2018)
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)
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)
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 (2018)
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)
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 (2018)
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) (2018)
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)
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 (2018)
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) (2017)
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 (2017)
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)
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)
Julio Camacho-Cañamón, María J. Carreira, Pedro Antonio Gutiérrez, Ramón Iglesias-Rey
Estimating Rodent Brain Volume by a Deformable Contour Model. MIUA (2017)
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) (2017)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Alberto Suárez
Class Switching Ensembles for Ordinal Regression. IWANN (1) (2017)
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 (2017)
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)
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)
Pedro Antonio Gutiérrez, Salvador García
Current prospects on ordinal and monotonic classification. Prog. Artif. Intell. 5 (3) (2016)
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) (2016)
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)
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)
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) (2016)
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)
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)
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) (2016)
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)
Pedro Antonio Gutiérrez, María Pérez-Ortiz, Javier Sánchez-Monedero, César Hervás-Martínez
Representing ordinal input variables in the context of ordinal classification. IJCNN (2016)
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) (2016)
M. Pérez-Ortiz, Pedro Antonio Gutiérrez, Mariano Carbonero-Ruz, César Hervás-Martínez
Semi-supervised learning for ordinal Kernel Discriminant Analysis. Neural Networks 84 (2016)
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 (2016)
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) (2016)
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)
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)
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)
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)
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)
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 (2015)
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)
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 (2015)
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)
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) (2015)
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 (2015)
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) (2015)
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)
Fengzhen Tang, Peter Tiño, Pedro Antonio Gutiérrez, Huanhuan Chen
The Benefits of Modeling Slack Variables in SVMs. Neural Comput. 27 (4) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pedro Antonio Gutiérrez