Publicaciones en 2025
Carbonero-Ruz M, Fernández-Navarro F, Durán-Rosal AM, Perez-Rodriguez J. A hybrid optimization and data-driven approach to understand the role of the risk-aversion profile parameter in portfolio optimization problems with shorting constraints. OPERATIONS RESEARCH PERSPECTIVES. 2025. -. DOI:10.1016/j.orp.2025.100353. IF: 3,7 Q2 D3
Gómez-Orellana AM, Rodríguez-Perálvarez ML, Guijo-Rubio D, Gutiérrez PA, Majumdar A, McCaughan GW, Taylor R, Tsochatzis EA, Hervás-Martínez C. Gender-Equity Model for Liver Allocation Using Artificial Intelligence (GEMA-AI) for Waiting List Liver Transplant Prioritization. CLINICAL GASTROENTEROLOGY AND HEPATOLOGY. 2025. 2187-2196. DOI:10.1016/j.cgh.2024.12.010. IF: 12,2 Q1 D1
Calleja R, Rivera M, Guijo-Rubio D, Hessheimer AJ, de la Rosa G, Gastaca M, Otero A, Ramírez P, Boscà-Robledo A, Santoyo J, Gómez LMM, del Moral JV, Fundora Y, Lladó L, Loinaz C, Jiménez-Garrido MC, Rodríguez-Laíz G, López-Baena JA, Charco R, Varo E, Rotellar F, Alonso A, Rodríguez-Sanjuan JC, Blanco G, Nuño J, Pacheco D, Coll E, Domínguez-Gil B, Fondevila C, Ayllón MD, Durán M, Ciria R, Gutiérrez PA, Gómez-Orellana A, Hervás-Martínez C, Briceño J. Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model. TRANSPLANTATION. 2025. e362-e370. DOI:10.1097/tp.0000000000005312; 10.1097/TP.0000000000005312. IF: 5 Q1 D1
Salcedo-Sanz S, Guijo-Rubio D, Perez-Aracil J, Peláez-Rodriguez C, Gomez-Orellana AM, Gutierrez-Peña PA. Artificial Intelligence-Based Methods and Algorithms in Fog and Atmospheric Low-Visibility Forecasting. ATMOSPHERE. 2025. -. DOI:10.3390/atmos16091073. IF: 2,3 Q3 D
Barbero-Gómez J, Cruz RPM, Cardoso JS, Gutiérrez PA, Hervás-Martínez C. CNN explanation methods for ordinal regression tasks. NEUROCOMPUTING. 2025. -. DOI:10.1016/j.neucom.2024.128878. IF: 6,5 Q1 D2
Ayllón-Gavilán R, Guijo-Rubio D, Gutiérrez PA, Bagnall A, Hervás-Martínez C. Convolutional-and Deep Learning-Based Techniques for Time Series Ordinal Classification. IEEE TRANSACTIONS ON CYBERNETICS. 2025. 537-549. DOI:10.1109/TCYB.2024.3498100. IF: 10,5 Q1 D1
Bérchez-Moreno F, Ayllón-Gavilán R, Vargas VM, Guijo-Rubio D, Hervás-Martínez C, Fernández JC, Gutiérrez PA. dlordinal: A Python package for deep ordinal classification. NEUROCOMPUTING. 2025. -. DOI:10.1016/j.neucom.2024.129305. IF: 6,5 Q1 D2
Gómez-Orellana AM, Vega-Bayo M, Guijo-Rubio D, Pérez-Aracil J, Vargas VM, Gutiérrez PA, Prieto-Godino L, Salcedo-Sanz S, Hervás-Martínez C. Enhancing wind speed prediction in wind farms through ordinal classification. ENERGY AND AI. 2025. -. DOI:10.1016/j.egyai.2025.100596. IF: 9,6 Q1 D1
Durán-Rosal AM, Ashley T, Pérez-Rodríguez J, Fernández-Navarro F. Global and Diverse Ensemble model for regression. NEUROCOMPUTING. 2025. -. DOI:10.1016/j.neucom.2025.130520. IF: 6,5 Q1 D2
Pérez-Aracil J, Peláez-Rodriguez C, McAdam R, Squintu A, Marina CM, Lorente-Ramos E, Luther N, Torralba V, Scoccimarro E, Cavicchia L, Giuliani M, Zorita E, Hansen F, Barriopedro D, García-Herrera R, Gutiérrez PA, Luterbacher J, Xoplaki E, Castelletti A, Salcedo-Sanz S. Identifying key drivers of heatwaves: A novel spatio-temporal framework for extreme event detection. WEATHER AND CLIMATE EXTREMES. 2025. -. DOI:10.1016/j.wace.2025.100792. IF: 6,9 Q1 D1
Rosati R, Romeo L, Vargas VM, Gutiérrez PA, Frontoni E, Hervás-Martínez C. Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2025. 4765-4778. DOI:10.1109/TNNLS.2024.3360641. IF: 8,9 Q1 D1
Ayllón-Gavilán R, Gómez-Orellana AM, Vargas VM, Guijo-Rubio D, Pérez-Aracil J, Salcedo-Sanz S, Gutiérrez PA, Hervá-Martínez C. Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning. INTEGRATED COMPUTER-AIDED ENGINEERING. 2025. 366-378. DOI:10.1177/10692509251337224. IF: 5,3 Q1 D2
de los Ríos-Berjillos A, Rodero-Cosano ML, Ruiz-Lozano M, Mesa-Pérez E. The Institutionalization of an Ethical Culture Through the Implementation of Compliance Systems. CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT. 2025. 6416-6433. DOI:10.1002/csr.70017. IF: 9,1 Q1 D1
Publicaciones en 2024
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
Bérchez-Moreno F, Durán-Rosal AM, Martínez CH, Gutiérrez PA, Fernández JC. 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: 3,8 Q1 D2
Morales-Martín A, Mesas-Carrascosa FJ, Gutiérrez PA, Pérez-Porras FJ, Vargas VM, Hervás-Martínez C. Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds. SENSORS. 2024. DOI: 10.3390/s24072168. IF: 3,4 Q2 D4
Vargas VM, Gómez-Orellana AM, Gutiérrez PA, Hervás-Martínez C, Guijo-Rubio D. EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. KNOWLEDGE-BASED SYSTEMS. 2024. DOI: 10.1016/j.knosys.2024.112223. IF: 7,2 Q1 D2
Trinidad-Gutiérrez I, Vázquez-Borrego MC, Aguilera-Fernández E, Velez-Castaño JE, Muriel-López CE, Rodríguez-Ortíz L, Gómez A, Berchez-Moreno F, Hervás C, Romero-Ruiz A, Arjona-Sánchez A. Efficacy of systemic Chemotherapy on high-risk stage II and III Mucnious colon cancer. CHEMUCCA study part I. EJSO. 2024. DOI: 10.1016/j.ejso.2024.108642. IF: 3,5 Q1 D2
Bérchez-Moreno F, Fernández JC, Hervás-Martínez C, Gutiérrez PA. Fusion of standard and ordinal dropout techniques to regularise deep models. INFORMATION FUSION. 2024. DOI: 10.1016/j.inffus.2024.102299. IF: 14,7 Q1 D1
Peláez-Rodríguez C, Pérez-Aracil J, Gómez-Orellana AM, Guijo-Rubio D, Vargas VM, Gutiérrez PA, Hervás-Martínez C, Salcedo-Sanz S. Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events. APPLIED OCEAN RESEARCH. 2024. DOI: 10.1016/j.apor.2024.104273. IF: 4,3 Q1 D1
Rodríguez-Perálvarez ML, de la Rosa G, Gómez-Orellana AM, Aguilera MV, Vicente TP, Pereira S, Ortiz ML, Pagano G, Suarez F, Grande RG, Cachero A, Tomé S, Barreales M, Mateos RM, Pascual S, Romero M, Bilbao I, Martín CA, Otón E, Diéguez LG, Espinosa MD, Milla AA, Fernández GB, Lorente S, Lavín AC, García AR, Cano CS, Cepeda-Franco C, Pons JA, Colmenero J, Guijo-Rubio D, Otero A, Navarrete AA, Moreno SR, Soler MR, Martínez CH, Gastaca M. 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: 9,6 Q1 D1
Gómez-Orellana AM, Guijo-Rubio D, Gutiérrez PA, Hervás-Martínez C, Vargas VM. ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 2024. DOI: 10.1016/j.engappai.2024.108462. IF: 7,5 Q1 D1
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.
