Optimising convolutional neural networks using a hybrid statistically-driven coral reef optimisation algorithm A Martín, VM Vargas, PA Gutiérrez, D Camacho, C Hervás-Martínez
Applied Soft Computing 90, 106144, 2020
39 2020 Cumulative link models for deep ordinal classification VM Vargas, PA Gutiérrez, C Hervas-Martinez
Neurocomputing 401, 48-58, 2020
32 2020 Unimodal regularisation based on beta distribution for deep ordinal regression VM Vargas, PA Gutiérrez, C Hervás-Martínez
Pattern Recognition 122, 108310, 2022
26 2022 An ordinal CNN approach for the assessment of neurological damage in Parkinson’s disease patients J Barbero-Gómez, PA Gutiérrez, VM Vargas, JA Vallejo-Casas, ...
Expert Systems with Applications 182, 115271, 2021
26 2021 A novel deep ordinal classification approach for aesthetic quality control classification R Rosati, L Romeo, VM Vargas, PA Gutiérrez, C Hervás-Martínez, ...
Neural Computing and Applications 34 (14), 11625-11639, 2022
18 2022 Soft labelling based on triangular distributions for ordinal classification VM Vargas, PA Gutiérrez, J Barbero-Gómez, C Hervás-Martínez
Information Fusion 93, 258-267, 2023
14 2023 Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment VM Vargas, PA Gutiérrez, R Rosati, L Romeo, E Frontoni, ...
Computers in Industry 144, 103786, 2023
14 2023 Activation functions for convolutional neural networks: Proposals and experimental study VM Vargas, PA Gutiérrez, J Barbero-Gómez, C Hervás-Martínez
IEEE Transactions on Neural Networks and Learning Systems 34 (3), 1478-1488, 2021
11 2021 Deep ordinal classification based on the proportional odds model VM Vargas, PA Gutiérrez, C Hervás
From Bioinspired Systems and Biomedical Applications to Machine Learning …, 2019
11 2019 Statistically-driven coral reef metaheuristic for automatic hyperparameter setting and architecture design of convolutional neural networks A Martin, R Lara-Cabrera, VM Vargas, PA Gutiérrez, C Hervás-Martínez, ...
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
10 2020 Relu-based activations: Analysis and experimental study for deep learning VM Vargas, D Guijo-Rubio, PA Gutiérrez, C Hervás-Martínez
Conference of the Spanish Association for Artificial Intelligence, 33-43, 2021
8 2021 Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment VM Vargas, PA Gutiérrez, R Rosati, L Romeo, E Frontoni, ...
Applied Soft Computing 138, 110191, 2023
7 2023 A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data VM Vargas, R Rosati, C Hervás-Martínez, A Mancini, L Romeo, ...
Engineering Applications of Artificial Intelligence 123, 106463, 2023
4 2023 Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation VM Vargas, AM Durán-Rosal, D Guijo-Rubio, PA Gutiérrez, ...
Information Sciences 648, 119606, 2023
2 2023 Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study AM Durán-Rosal, D Guijo-Rubio, VM Vargas, AM Gómez-Orellana, ...
Computational Intelligence in Security for Information Systems Conference …, 2022
2 2022 Predictive maintenance of ATM machines by modelling remaining useful life with machine learning techniques R Rosati, L Romeo, VM Vargas, PA Gutiérrez, C Hervás-Martínez, ...
International Workshop on Soft Computing Models in Industrial and …, 2022
2 2022 Studying the Effect of Different D Guijo-Rubio, VM Vargas, PA Gutiérrez, C Hervás-Martínez
Conference of the Spanish Association for Artificial Intelligence, 44-53, 2021
2 2021 ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target AM Gómez-Orellana, D Guijo-Rubio, PA Gutiérrez, C Hervás-Martínez, ...
Engineering Applications of Artificial Intelligence 133, 108462, 2024
1 2024 Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers R Rosati, L Romeo, VM Vargas, PA Gutierrez, E Frontoni, ...
IEEE Transactions on Neural Networks and Learning Systems, 2024
1 2024 Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición DG Rubio, VV Yun, AMD Rosal, AMG Orellana, JB Gómez, JCF Caballero, ...
Revista de Innovación y Buenas Prácticas Docentes 10 (2), 101-116, 2021
1 2021 
Pedro Antonio GutiérrezFull Professor of Computer Science, University of Córdoba (Spain)Dirección de correo verificada de uco.es
