Publicaciones en 2025
R. Ayllón-Gavilán, D. Guijo-Rubio, P.A. Gutiérrez, A. Bagnall y C. Hervás-Martínez. Convolutional and Deep Learning based techniques for Time Series Ordinal Classification. IEEE TRANSACTIONS ON CYBERNETICS 2025. DOI: 10.1109/TCYB.2024.3498100. IF: 10.5 Q1 D1
F. Bérchez-Moreno, R. Ayllón-Gavilán, V.M. Vargas, D. Guijo-Rubio, C. Hervás-Martínez, J.C. Fernández y P.A. Gutiérrez. dlordinal: A Python package for deep ordinal classification. NEUROCOMPUTING 2025. DOI: 10.1016/j.neucom.2024.129305. IF: 6.5 Q1
R. Rosati, L. Romeo, V.M. Vargas, P.A. Gutiérrez, E. Frontoni y C. Hervás-Martínez. Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2025. DOI: 10.1109/TNNLS.2024.3360641. IF: 8.9 Q1 D1
J. Barbero-Gómez, R.P. Cruz, J.S. Cardoso, P.A. Gutiérrez y C. Hervás-Martínez. CNN Explanation Methods for Ordinal Regression Tasks. NEUROCOMPUTING 2025. DOI: 10.1016/j.neucom.2024.128878. IF: 6.5 Q1
R. Calleja-Lozano, M. Rivera-Gavilán, D. Guijo-Rubio, A.J. Hessheimer, G. D. la Rosa, M. Gastaca, A. Otero, P. Ramirez, A. Boscà-Robledo, J. Santoyo-Santoyo, L.M. Marín-Gómez, J. Del Villar Moral, Y. Fundora, L. Lladó, C. Loinaz, M.C. Jiménez-Garrido, G. Rodríguez-Laíz, J.A. López-Baena, R. Charco, E. Varo, F. Rotellar, A. Alonso, J.C. Rodríguez-Sanjuan, G. Blanco, J. Nuño, D. Pacheco, E. Coll, B. Domínguez-Gil, C. Fontdevila, M.D. Ayllón, M. Durán, R. Ciria, P.A. Gutiérrez, A.M. Gómez-Orellana, C. Hervás-Martínez y J. Briceño. Machine learning algorithms in controlled donation after circulatory death under normothermic regional perfusion: A graft survival prediction model. TRANSPLANTATION 2025. DOI:10.1097/TP.0000000000005312. IF: 5.0 Q1 D1
A.M. Gómez-Orellana, M. Rodríguez-Perálvarez, D. Guijo-Rubio, P.A. Gutiérrez, A. Majumdar, G.W. McCaughan, R. Taylor, E. Tsochatzis y C. Hervás-Martínez. Gender-Equity Model for Liver Allocation using Artificial Intelligence (GEMA-AI) for waiting list liver transplant prioritization. CLINICAL GASTROENTEROLOGY AND HEPATOLOGY 2025. DOI: 10.1016/j.cgh.2024.12.010. IF: 11.6 Q1 D1
J. Barbero-Gómez, P.A. Gutiérrez y C. Hervás-Martínez. Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. NEURAL PROCESSING LETTERS 2025. DOI: 10.1007/s11063-022-10824-7. IF: 2.6 Q3
Publicaciones en 2024
F. Bérchez-Moreno, A.M. Durán-Rosal, C. Hervás-Martínez, P.A. Gutiérrez y J.C. Fernández. A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks. SCIENTIFIC REPORTS 2024. DOI: 10.1038/s41598-024-57654-2. IF: 3.9 Q1
M. Rodríguez-Perálvez, G. de la Rosa, A.M. Gómez-Orellana, V.A. Sancho, T. Pascual-Vicente, S. Pereira, M.L. Ortiz, G. Pagano, F. Suárez, R. González-Grande, A. Cachero, S. Tomé, M.B. Valbuena, R. Martin-Mateos, S. Pascual, M.R. Cristóbal, I. Bilbao, C.A. Martin, E. Oton, M.L. Dieguez, M.D. Aguilar, A. Arias, G. Blanco, S.L. Perez, A. Cuadrado, A.R. García, C.S. Cano, C.C. Franco, J.A. Pons, J. Colmenero, D. Guijo-Rubio, A.O. Ferreiro, N.H. Aretxabaleta, S.R. Moreno, M.R. Soler, C. Hervás-Martínez y M. Gastaca. GEMA-Na and MELD 3.0 severity scores to address sex disparities for accessing liver transplantation: a nationwide retrospective cohort study. ECLINICALMEDICINE 2024. DOI: 10.1016/j.eclinm.2024.102737. IF: 10.0 Q1 D1
V.M. Vargas, A.M. Gómez-Orellana, P.A. Gutiérrez, C. Hervás-Martínez y D. Guijo-Rubio. EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. KNOWLEDFE-BASED SYSTEMS 2024. DOI: 10.1016/j.knosys.2024.112223 IF: 7.2 Q1
M. Middlehurst, A. Ismail-Fawaz, A. Guillaume, C. Holder, D. Guijo-Rubio, G. Bulatova, L. Tsaprounis, L. Mentel, M. Walter, P. Schäfer y A. Bagnall. aeon: a Python toolkit for learning from time series. JOURNAL OF MACHINE LEARNING RESEARCH 2024. DOI: https://jmlr.org/papers/v25/23-1444.html. IF: 5.2 Q1
A.M. Gómez-Orellana, D. Guijo-Rubio, P.A. Gutiérrez, C. Hervás-Martínez y V.M. Vargas. ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. ENGENIEERING APLLICATIONS OF ARTIFICIAL INTELLIGENCE 2024. DOI: 10.1016/j.engappai.2024.108462. IF: 8.0 Q1 D1
. Trinidad-Gutiérrez, M.C. Vázquez-Borrego, E. Aguilera-Fernández, J.E. Velez-Castaño, C.E. Muriel-López, L. Rodríguez-Ortíz, A.M. Gómez-Orellana, F. Bérchez-Moreno, C. Hervás-Martínez, A. Romero-Ruiz y Á. Arjona-Sánchez. Efficacy of systemic Chemotherapy on high-risk stage II and III Mucnious colon cancer. CHEMUCCA study part I. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024. DOI: 10.1016/j.ejso.2024.108642. IF: 2.9 Q1
F. Bérchez-Moreno, J.C. Fernández, C. Hervás-Martínez y P.A. Gutiérrez. Fusion of standard and ordinal dropout techniques to regularise deep models. INFORMATION FUSION 2024. DOI: 10.1016/j.inffus.2024.102299. IF: 15.5 Q1 D1
D. Guijo-Rubio, M. Middlehurst, G. Arcencio, D.F. Silva y A. Bagnall. Unsupervised feature based algorithms for time series extrinsic regression. DATA MINING AND KNOWLEDGE DISCOVERY 2024. DOI: 10.1007/s10618-024-01027-w. IF: 4.3 Q2
Publicaciones en 2023
C. Perales-González, J. Pérez-Rodríguez y A.M. Durán-Rosal. Boosting ridge for the extreme learning machine globally optimised for classification and regression problems. SCIENTIFIC REPORTS 2023. DOI: 10.1038/s41598-023-38948-3. IF: 3.8 Q1
A.M. Durán Rosal, A. Durán-Fernández, F. Fernández-Navarro y M. Carbonero-Ruz. A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks. APPLIED SOFT COMPUTING 2023. DOI: 10.1016/j.asoc.2022.109914. IF: 7.2 Q1
Guijo-Rubio D., Durán-Rosal A.M., Gómez-Orellana A.M, Fernández J.C. An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. APPLIED SOFT COMPUTING. 2023. -110647. DOI: 10.1016/j.asoc.2023.110647. IF: 8,7 Q1 D1
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. 2023. 242-252. DOI: 10.1016/S2468-1253(22)00354-5. IF: 35,7 Q1 D1
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. 2023. DOI: 10.1016/j.engappai.2023.106463. IF: 8 Q1 D2
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. 2023. 1478-1488. DOI: 10.1109/TNNLS.2021.3105444. IF: 10,4 Q1 D1
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. 2023. DOI: 10.1016/j.eswa.2023.120103. IF: 8,5 Q1 D1
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. 2023. DOI: 10.1016/j.compind.2022.103786. IF: 10 Q1 D1
Barbero-Gómez J, Gutiérrez PA, Hervás-Martínez C. Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. NEURAL PROCESSING LETTERS. 2023. 5299-5330. DOI: 10.1007/s11063-022-10824-7. IF: 3,1 Q3 D
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. 2023. DOI: 10.1016/j.asoc.2023.110191. IF: 8,7 Q1 D2
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. 2023. DOI: 10.1016/j.ins.2023.119606. IF: 8,1 Q1 D1
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. 2023. DOI: 10.1016/j.atmosres.2023.106608. IF: 5,5 Q1 D2
Vargas VM, Gutierrez PA, Barbero-Gomez J, Hervas-Martinez C. Soft labelling based on triangular distributions for ordinal classification. INFORMATION FUSION. 2023. 258-267. DOI: 10.1016/j.inffus.2023.01.003. IF: 18,6 Q1 D1
Publicaciones 2022
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
Publicaciones 2021
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. 202 287():-. 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. 2021. 182():-. 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. 2021. 14(2):-. 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. 2021. 16(6):-. 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. 2021. 11(1):-. 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. 2021. 16(5):-. DOI: 10.1371/journal.pone.0252068. IF: 3,24 Q2 D4
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. 2021. 51(11):5409-5422. DOI: 10.1109/TCYB.2019.2962584.
IF: 11,448 Q1 D1
F. Jansen, J. Sánchez-Monedero y L. Dencik. Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP. Big Data & Society. 2021. 8(2). DOI: 10.1177/20539517211063604.
IF: 5,987 Q1 D1
Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas y A.M. Durán-Rosal. A new approach for optimal offline time-series segmentation with error bound guarantee. Pattern Recognition. 2021. 115. DOI: 10.1016/j.patcog.2021.107917.
IF: 7,740 Q1 D2
Publicaciones 2020
Carmona-Poyato A, Fernandez-Garcia NL, Madrid-Cuevas FJ, Duran-Rosal AM. A new approach for optimal time -series segmentation ?. PATTERN RECOGNITION LETTERS. 2020. 135 ():153-159 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. 2020. 401 ():48-58 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. 2020. 210 ():- 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. 2020. 25 (4):399-405 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. 2020. 123 ():401-411 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. 2020. 90 ():- 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. 2020. 52 (1):57-74 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. 2020. 236 ():- 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. 2020. 32 (17):13917-13929 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. 2020. 216 ():- 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. 2020. 15 (1):- 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. 2020. 166 ():- DOI: 10.1016/j.apacoust.2020.107332
IF: 2,44 Q: 2
C. Castillo-Botón, D. Casillas-Pérez, C. Casanova-Mateo, L.M. Moreno-Saavedra, B. Morales-Díaz, J. Sanz-Justo, P.A. Gutiérrez y S. Salcedo-Sanz. Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques. WATER. 2020. 12 (6):- DOI: 10.3390/w12061528
IF: 2,544 Q: 2
Publications in 2019
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. 49;9(3447-3463). 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. 20;1-5.
IF: 4,091 Q: 1
Publicaciones 2018
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. 2018; 144:110-119.
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. 2018; 442:186-201.
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. 2018; 30(1):289-305.
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. 2018; 29(3):779-791.
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. 2018; 63:139-153.
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. 2018; 70:347-358.
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. 2018; 64:341-355.
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. 2018; 214:64-73.
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. 2018. 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. 2018; 16:Núm artículo 35
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. 2018; 52(1):275-297.
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. 2018; 69:599-609.
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. 2018; 24(2):192-203.
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. 2018; 15(11):Núm artículo 2437
IF: 2,145 Q: 2
Publicaciones 2017
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. 2017. 82-383. 60-80.
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. 2017.123:75-87.
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. 2017.111:428-437.
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. 2017.77():1-11.
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. 2017.142:268-279.
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. 2017.46(3):767-790.
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. 2017. 6 (1); 59-66.
