R
Ayllón-Gavilán, D
Guijo-Rubio, P
DOI: 10.1109/TCYB.2024.3498100
R
Ayllón-Gavilán, D
Guijo-Rubio, P
DOI: 10.1109/TCYB.2024.3498100
F
Bérchez-Moreno, R
Ayllón-Gavilán, V
DOI: 10.1016/j.neucom.2024.129305
R
Rosati, L
Romeo, V
DOI: 10.1109/TNNLS.2024.3360641
J
Barbero-Gómez, R
P
DOI: 10.1016/j.neucom.2024.128878
R
Calleja-Lozano, M
Rivera-Gavilán, D
DOI: 10.1097/TP.0000000000005312
A
M
Gómez-Orellana, M
DOI: 10.1016/j.cgh.2024.12.010
J
Barbero-Gómez, P
A
DOI: 10.1007/s11063-022-10824-7
F
Bérchez-Moreno, A
M
DOI: 10.1038/s41598-024-57654-2
M
Rodríguez-Perálvez, G
de la Rosa, A
DOI: 10.1016/j.eclinm.2024.102737
V
M
Vargas, A
DOI: 10.1016/j.knosys.2024.112223
M
Middlehurst, A
Ismail-Fawaz, A
DOI: https://jmlr.org/papers/v25/23-1444.html
A
M
Gómez-Orellana, D
DOI: 10.1016/j.engappai.2024.108462
Trinidad-Gutiérrez, M
C
Vázquez-Borrego, E
DOI: 10.1016/j.ejso.2024.108642
F
Bérchez-Moreno, J
C
DOI: 10.1016/j.inffus.2024.102299
D
Guijo-Rubio, M
Middlehurst, G
DOI: 10.1007/s10618-024-01027-w
C
Perales-González, J
Pérez-Rodríguez y A
DOI: 10.1038/s41598-023-38948-3
A
M
Durán Rosal, A
DOI: 10.1016/j.asoc.2022.109914
Guijo-Rubio D
, Durán-Rosal A
M
DOI: 10.1016/j.asoc.2023.110647
Rodriguez-Peralvarez ML, Gomez-Orellana AM, Majumdar A, Bailey M, McCaughan GW, Gow P, Guerrero M, Taylor R, Guijo-Rubio D, Hervas-Martinez C, Tsochatzis EA
Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study
LANCET GASTROENTEROLOGY & HEPATOLOGY
DOI: 10.1016/S2468-1253(22)00354-5
Vargas VM, Rosati R, Hervas-Martinez C, Mancini A, Romeo L, Gutierrez PA
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
DOI: 10.1016/j.engappai.2023.106463
Vargas VM, Gutierrez PA, Barbero-Gomez J, Hervas-Martinez C
Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
DOI: 10.1109/TNNLS.2021.3105444
Diaz-Lozano M, Guijo-Rubio D, Gutierrez PA, Hervas-Martinez C
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2
EXPERT SYSTEMS WITH APPLICATIONS
DOI: 10.1016/j.eswa.2023.120103
Vargas VM, Gutierrez PA, Rosati R, Romeo L, Frontoni E, Hervas-Martinez C
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment
COMPUTERS IN INDUSTRY
DOI: 10.1016/j.compind.2022.103786
Barbero-Gómez J, Gutiérrez PA, Hervás-Martínez C
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification
NEURAL PROCESSING LETTERS
DOI: 10.1007/s11063-022-10824-7
Vargas VM, Gutierrez PA, Rosati R, Romeo L, Frontoni E, Hervas-Martinez C
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment
APPLIED SOFT COMPUTING
DOI: 10.1016/j.asoc.2023.110191
Vargas VM, Durán-Rosal AM, Guijo-Rubio D, Gutiérrez PA, Hervás-Martínez C
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation
INFORMATION SCIENCES
DOI: 10.1016/j.ins.2023.119606
Gomez-Orellana AM, Guijo-Rubio D, Perez-Aracil J, Gutierrez PA, Salcedo-Sanz S, Hervas-Martinez C
One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques
ATMOSPHERIC RESEARCH
DOI: 10.1016/j.atmosres.2023.106608
Vargas VM, Gutierrez PA, Barbero-Gomez J, Hervas-Martinez C
Soft labelling based on triangular distributions for ordinal classification
INFORMATION FUSION
DOI: 10.1016/j.inffus.2023.01.003
Duran-Rosal AM, Carbonero M, Gutierrez PA, Hervas-Martinez C
SCIENTIFIC REPORTS
2022
DOI: 10.1038/s41598-022-22243-8
Rosati R, Romeo L, Vargas VM, Gutierrez PA, Hervas-Martinez C, Frontoni E
NEURAL COMPUTING & APPLICATIONS
2022
DOI: 10.1007/s00521-022-07050-6
Briceno J, Calleja R, Hervas C
HEPATOBILIARY & PANCREATIC DISEASES INTERNATIONAL
2022
DOI: 10.1016/j.hbpd.2022.03.001
Diaz-Lozano M, Guijo-Rubio D, Gutierrez PA, Gomez-Orellana AM, Tunez I, Ortigosa-Moreno L, Romanos-Rodriguez A, Padillo-Ruiz J, Hervas-Martinez C
EXPERT SYSTEMS WITH APPLICATIONS
2022
DOI: 10.1016/j.eswa.2022.117977
Rodriguez-Peralvarez M, Colmenero J, Gonzalez A, Gastaca M, Curell A, Caballero-Marcos A, Sanchez-Martinez A, Di Maira T, Herrero JI, Almohalla C, Lorente S, Cuadrado-Lavin A, Pascual S, Lopez-Garrido MA, Gonzalez-Grande R, Gomez-Orellana A, Alejandre R, Zamora-Olaya J, Bernal-Bellido C
AMERICAN JOURNAL OF TRANSPLANTATION
2022
DOI: 10.1111/ajt.17021
Gomez-Orellana AM, Guijo-Rubio D, Gutierrez PA, Hervas-Martinez C
RENEWABLE ENERGY
2022
DOI: 10.1016/j.renene.2021.11.122
Casado-Adam A, Rodriguez-Ortiz L, Rufian-Pena S, Munoz-Casares C, Caro-Cuenca T, Ortega-Salas R, Fernandez-Peralbo MA, Luque-de-Castro MD, Sanchez-Hidalgo JM, Hervas-Martinez C, Romero-Ruiz A, Briceno J, Arjona-Sanchez A
JOURNAL OF CLINICAL MEDICINE
2022
DOI: 10.3390/jcm11195785
Vargas VM, Gutierrez PA, Hervas-Martinez C
PATTERN RECOGNITION
2022
DOI: 10.1016/j.patcog.2021.108310
Amiri B, Gómez-Orellana AM, Gutiérrez PA, Dizene R, Hervás-Martínez C, Dahmani K
A novel approach for global solar irradiation forecasting on tilted plane using Hybrid Evolutionary Neural Networks
JOURNAL OF CLEANER PRODUCTION
DOI: 10.1016/j.jclepro.2020.125577
IF: 9,297 Q1 D1
Barbero-Gómez J, Gutiérrez PA, Vargas VM, Vallejo-Casas JA, Hervás-Martínez C
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
EXPERT SYSTEMS WITH APPLICATIONS
DOI: 10.1016/j.eswa.2021.115271
IF: 6,954 Q1 D1
Gómez-Orellana AM, Fernández JC, Dorado-Moreno M, Gutiérrez PA, Hervás-Martínez C
Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
ENERGIES
DOI: 10.3390/en14020468
IF: 3,004 Q3 D
Dueñas-Jurado JM, Gutiérrez PA, Casado-Adam A, Santos-Luna F, Salvatierra-Velázquez Á, Cárcel S, Robles-Arista CJ, Hervás-Martínez C
New models for donor-recipient matching in lung transplantations
PLOS ONE
DOI: 10.1371/journal.pone.0252148
IF: 3,24 Q2 D4
Durán-Rosal AM, Camacho-Cañamón J, Gutierrez PA, Guiote-Moreno MV, Rodríguez-Cáceres E, Vallejo-Casas JA, Hervás-Martínez C
Ordinal classification of the affectation level of 3D-images in Parkinson diseases
SCIENTIFIC REPORTS
DOI: 10.1038/s41598-021-86538-y
IF: 4,379 Q1 D3
Guijo-Rubio D, Briceño J, Gutiérrez PA, Ayllón MD, Ciria R, Hervás-Martínez C
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation
PLOS ONE
DOI: 10.1371/journal.pone.0252068
Guijo-Rubio D, Durán-Rosal AM, Gutiérrez PA, Troncoso A, Hervás-Martínez C
Time-Series Clustering Based on the Characterization of Segment Typologies
IEEE TRANSACTIONS ON CYBERNETICS
DOI: 10.1109/TCYB.2019.2962584
IF: 11,448 Q1 D1
F
Jansen, J
Sánchez-Monedero y L
DOI: 10.1177/20539517211063604
IF: 5,987 Q1 D1
Á
Carmona-Poyato, N
L
DOI: 10.1016/j.patcog.2021.107917
IF: 7,740 Q1 D2
Carmona-Poyato A, Fernandez-Garcia NL, Madrid-Cuevas FJ, Duran-Rosal AM
A new approach for optimal time -series segmentation ?
PATTERN RECOGNITION LETTERS
DOI: 10.1016/j.patrec.2020.04.006
IF: 3,255 Q: 2
Vargas VM, Gutierrez PA, Hervas-Martinez C
Cumulative link models for deep ordinal classification
NEUROCOMPUTING
DOI: 10.1016/j.neucom.2020.03.034
IF: 4,438 Q: 1
Guijo-Rubio D, Duran-Rosal AM, Gutierrez PA, Gomez-Orellana AM, Casanova-Mateo C, Sanz-Justo J, Salcedo-Sanz S, Hervas-Martinez C
Evolutionary artificial neural networks for accurate solar radiation prediction
ENERGY
DOI: 10.1016/j.energy.2020.118374
IF: 6,082 Q: 1 D: 1
Guijo-Rubio D, Gutierrez PA, Hervas-Martinez C
Machine learning methods in organ transplantation
CURRENT OPINION IN ORGAN TRANSPLANTATION
DOI: 10.1097/MOT.0000000000000774
IF: 2,571 Q: 3
Dorado-Moreno M, Navarin N, Gutierrez PA, Prieto L, Sperduti A, Salcedo-Sanz S, Hervas-Martinez C
Multi-task learning for the prediction of wind power ramp events with deep neural networks
NEURAL NETWORKS
DOI: 10.1016/j.neunet.2019.12.017
IF: 5,535 Q: 1
Martin A, Vargas VM, Gutierrez PA, Camacho D, Hervas-Martinez C
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm
APPLIED SOFT COMPUTING
DOI: 10.1016/j.asoc.2020.106144
IF: 5,472 Q: 1 D: 1
Dorado-Moreno M, Gutierrez PA, Cornejo-Bueno L, Prieto L, Salcedo-Sanz S, Hervas-Martinez C
Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing
NEURAL PROCESSING LETTERS
DOI: 10.1007/s11063-018-9922-5
IF: 2,891 Q: 2
Guijo-Rubio D, Casanova-Mateo C, Sanz-Justo J, Gutierrez PA, Cornejo-Bueno S, Hervas C, Salcedo-Sanz S
Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
ATMOSPHERIC RESEARCH
DOI: 10.1016/j.atmosres.2019.104798
IF: 4,676 Q: 1
Guijo-Rubio D, Gutierrez PA, Casanova-Mateo C, Fernandez JC, Gimez-Orellana AM, Salvador-Gonzalez P, Salcedo-Sanz S, Hervas-Martinez C
Prediction of convective clouds formation using evolutionary neural computation techniques
NEURAL COMPUTING & APPLICATIONS
DOI: 10.1007/s00521-020-04795-w
IF: 4,774 Q: 1
Guijo-Rubio D, Gomez-Orellana AM, Gutierrez PA, Hervas-Martinez C
Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks
OCEAN ENGINEERING
DOI: 10.1016/j.oceaneng.2020.108089
IF: 3,068 Q: 1 D: 1
Rivero-Juarez A, Guijo-Rubio D, Tellez F, Palacios R, Merino D, Macias J, Fernandez JC, Gutierrez PA, Rivero A, Hervas-Martinez C
Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals
PLOS ONE
DOI: 10.1371/journal.pone.0227188
IF: 2,74 Q: 2
Jimenez-Romero FJ, Guijo-Rubio D, Lara-Raya FR, Ruiz-Gonzalez A, Hervas-Martinez C
Validation of artificial neural networks to model the acoustic behaviour of induction motors
APPLIED ACOUSTICS
DOI: 10.1016/j.apacoust.2020.107332
IF: 2,44 Q: 2
C
Castillo-Botón, D
Casillas-Pérez, C
DOI: 10.3390/w12061528
IF: 2,544 Q: 2
Duran-Rosal AM, Gutierrez PA, Carmona-Poyato A, Heryas-Martinez C; A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
NEUROCOMPUTING
2019 353;45-55
DOI: 10.1016/j.neucom.2018.05.129
IF: 4,072 Q: 1
Comino F, Guijo-Rubio D, de Adana MR, Hervas-Martinez C; Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
2019, 100;434-442
DOI: 10.1016/j.ijrefrig.2019.02.002
IF: 3,177 Q: 1
Fernandez JC, Carbonero M, Gutierrez PA, Hervas-Martinez C; Multi-objective evolutionary optimization using the relationship between F-1 and accuracy metrics in classification tasks
APPLIED INTELLIGENCE
2019
DOI: 10.1007/s10489-019-01447-y
IF: 2,882 Q: 2
Sanchez-Monedero J, Gutierrez PA, Perez-Ortiz M; ORCA: A Matlab/Octave Toolbox for Ordinal Regression
JOURNAL OF MACHINE LEARNING RESEARCH
2019
IF: 4,091 Q: 1
Redel-Macias MD, Hervas-Martinez C, Gutierrez PA, Pinzi S, Cubero-Atienza AJ, Dorado MP
Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters
ENERGY
IF: 4,968 Q: 1 D: 1
Duran-Rosal AM, Gutierrez PA, Martinez-Estudillo FJ, Hervas-Martinez C
Simultaneous optimisation of clustering quality and approximation error for time series segmentation
INFORMATION SCIENCES
IF: 4,305 Q: 1 D: 1
Fernandez JC, Cruz-Ramirez M, Hervas-Martinez C
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms
NEURAL COMPUTING & APPLICATIONS
IF: 4,213 Q: 1
Fernandez-Navarro F, de la Cruz MA, Gutierrez PA, Castano A, Hervas-Martinez C
Time series forecasting by recurrent product unit neural networks
NEURAL COMPUTING & APPLICATIONS
IF: 4,213 Q: 1
Duran-Rosal AM, Gutierrez PA, Salcedo-Sanz S, Hervas-Martinez C
A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series
APPLIED SOFT COMPUTING
IF: 3,907 Q: 1
Duran-Rosal AM, Fernandez JC, Casanova-Mateo C, Sanz-Justo J, Salcedo-Sanz S, Hervas-Martinez C
Efficient fog prediction with multi-objective evolutionary neural networks
APPLIED SOFT COMPUTING
IF: 3,907 Q: 1
Sanchez-Monedero J, Perez-Ortiz M, Saez A, Gutierrez PA, Hervas-Martinez C
Partial order label decomposition approaches for melanoma diagnosis
APPLIED SOFT COMPUTING
IF: 3,907 Q: 1
Guijo-Rubio D, Gutierrez PA, Casanova-Mateo C, Sanz-Justo J, Salcedo-Sanz S, Hervas-Martinez C
Prediction of low-visibility events due to fog using ordinal classification
ATMOSPHERIC RESEARCH
IF: 3,817 Q: 1
Dorado-Moreno M, Gutierrez PA, Cornejo-Bueno L, Prieto L, Salcedo-Sanz S, Hervas-Martinez
Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing
NEURAL PROCESSING LETTERS
DOI: 10.1007/s11063-018-9922-5
IF: 2,591 Q: 2
Chung YJ, Salvador-Carulla L, Salinas-Perez JA, Uriarte-Uriarte JJ, Iruin-Sanz A, Garcia-Alonso CR
Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning
HEALTH RESEARCH POLICY AND SYSTEMS
IF: 2,179 Q: 2
Fernandez-Arias D, Lopez-Martin M, Montero-Romero T, Martinez-Estudillo F, Fernandez-Navarro F
Financial Soundness Prediction Using a Multi-classification Model: Evidence from Current Financial Crisis in OECD Banks
COMPUTATIONAL ECONOMICS
IF: 1,038 Q: 3
Perez-Barea JJ, Fernandez-Navarro F, Montero-Simo MJ, Araque-Padilla R
A socially responsible consumption index based on non-linear dimensionality reduction and global sensitivity analysis
APPLIED SOFT COMPUTING
IF: 3,907 Q: 1
Ayllon MD, Ciria R, Cruz-Ramirez M, Perez-Ortiz M, Gomez I, Valente R, O'Grady J, de la Mata M, Hervas-Martinez C, Heaton ND, Briceno J
Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation
LIVER TRANSPLANTATION
IF: 3,752 Q: 1
Del Pozo-Antunez JJ, Ariza-Montes A, Fernandez-Navarro F, Molina-Sanchez H
Effect of a Job Demand-Control-Social Support Model on Accounting Professionals' Health Perception
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
IF: 2,145 Q: 2
Carbonero-Ruz, M, Martinez-Estudillo, FJ, Fernandez-Navarro, F, Becerra-Alonso, D, Martinez-Estudillo, AC
A two dimensional accuracy-based measure for classification performance
INFORMATION SCIENCES
IF: 4,832 Q: 1
Perez-Ortiz M, Gutierrez PA, Ayllon-Teran MD, Heaton N, Ciria R, Briceno J, Hervas-Martinez C
Synthetic semi-supervised learning in imbalanced domains: Constructing a model for donor-recipient matching in liver transplantation
KNOWLEDGE-BASED SYSTEMS
IF: 4,529 Q: 1
Dorado-Moreno M, Cornejo-Bueno L, Gutierrez PA, Prieto L, Hervas-Martinez C, Salcedo-Sanz S
Robust estimation of wind power ramp events with reservoir computing
RENEWABLE ENERGY
IF: 4,357 Q: 1
Dorado-Moreno M, Perez-Ortiz M, Gutierrez PA, Ciria R, Briceno J, Hervas-Martinez C
Dynamically weighted evolutionary ordinal neural network for solving an imbalanced liver transplantation problem
ARTIFICIAL INTELLIGENCE IN MEDICINE
IF: 2,009 Q: 2
Duran-Rosal AM, Fernandez JC, Gutierrez PA, Hervas-Martinez C
Detection and prediction of segments containing extreme significant wave heights
OCEAN ENGINEERING
IF: 1,894 Q: 1
Duran-Rosal AM, de la Paz-Marin M, Gutierrez PA, Hervas-Martinez C
Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm
NEURAL PROCESSING LETTERS
IF: 1,62 Q: 3
Durán-Rosal AM, Dorado-Moreno M, Gutiérrez PA, Hervás-Martínez C
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation
PROGRESS IN ARTIFICIAL INTELLIGENCE