Journal papers
A.M. Durán-Rosal, T. Ashley, J. Pérez-Rodríguez and F. Fernández-Navarro. "Global and Diverse Ensemble model for regression", Neurocomputing, Vol. 647, 2025, 130520. JCR(2024): 6.5 Position: 37/204 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. F. Bérchez-Moreno, A.M. Durán-Rosal, C. Hervás-Martínez, P.A. Gutiérrez and J.C. Fernández. "A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks", Scientifc Reports, Vol. 14, 2024, 6961. JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. V.M. Vargas, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation", Information Sciences, Vol. 648, 2023, 119606. JCR(2022): 8.1, Position: 13/158 (Q1D1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. D. Guijo-Rubio, A.M. Durán-Rosal, A.M. Gómez-Orellana and J.C. Fernández. "An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction", Applied Soft Computing, Vol. 146, 2023, 110647. JCR(2022): 8.7 Position: 21/145 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. C. Peráles-González, J. Pérez-Rodríguez and A.M. Durán-Rosal. "Boosting ridge for the extreme learning machine globally optimised for classification and regression problems", Scientifc Reports, Vol. 13, 2023, 11809. JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. A.M. Durán-Rosal, A. Durán-Fernández, F. Fernández-Navarro and M. Carbonero-Ruz. "A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks", Applied Soft Computing, Vol. 133, 2023, 109914. JCR(2022): 8.7 Position: 21/145 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, M. Carbonero-Ruz, P.A. Gutiérrez and C. Hervás-Martínez. "A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation", Scientifc Reports, Vol. 12, 2022, 17327. JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. D. Guijo-Rubio, V.M. Vargas-Yun, A.M. Durán-Rosal, A.M. Gómez-Orellana, J. Barbero-Gómez, J.C. Fernández and P.A. Gutiérrez. "Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición", Revista de Innovación y Buenas Prácticas Docentes, Vol. 10, 2021, 101-106. . Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and A.M. Durán-Rosal. "A new approach for optimal offline time-series segmentation with error bound guarantee", Pattern Recognition, Vol. 115, 2021, 107917. JCR(2021): 8.518 Position: 22/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, J. Camacho-Cañamón, P.A. Gutiérrez, M.V. Guiote-Moreno, E. Rodríguez-Cáceres, J.A. Vallejo-Casas and C. Hervás-Martínez. "Ordinal classification of the affectation level of 3D-images in Parkinson diseases", Scientifc Reports, Vol. 11, 2021, 7067. JCR(2021): 4.996 Position: 19/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES. D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso and C. Hervás-Martínez. "Time series clustering based on the characterisation of segment typologies", IEEE Transactions on Cybernetics, Vol. 51, 2021, 5409-5422. JCR(2021): 19.118 Position: 3/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A.M. Gómez-Orellana, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz and C. Hervás-Martínez. "Evolutionary artificial neural networks for accurate solar radiation prediction", Energy, Vol. 210, 2020, 118374. JCR(2020): 7.147 Position: 3/62 (Q1) Category: THERMODYNAMICS. Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and A.M. Durán-Rosal. "A new approach for optimal time-series segmentation", Pattern Recognition Letters, Vol. 135, 2020, 153 - 159. JCR(2020): 3.756 Position: 46/140 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, P.A. Gutiérrez, Á. Carmona-Poyato and C. Hervás-Martínez. "A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation", Neurocomputing, Vol. 353, 2019, 45 - 55. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez. "Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation", Progress in Artificial Intelligence, Vol. 8, 2019, 253 - 262. SJR(2019): 0.650 Position: 73/191 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. M. Pérez-Ortiz, A.M. Durán-Rosal, P.A. Gutiérrez, J. Sánchez-Monedero, A. Nikolaou, F. Fernandez-Navarro and C. Hervás-Martínez. "On the use of evolutionary time series analysis for segmenting paleoclimate data", Neurocomputing, Vol. 326, 2019, 3 - 14. JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, J.C. Fernández, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz and C. Hervás-Martínez. "Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks", Applied Soft Computing, Vol. 70, 2018, 347 - 358. JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez. "Simultaneous optimisation of clustering quality and approximation error for time series segmentation", Information Sciences, Vol. 442, 2018, 186 - 201. JCR(2018): 5.524 Position: 9/155 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS. A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez. "A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series", Applied Soft Computing, Vol. 63, 2018, 139 - 153. JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez. "Identifying market behaviours using European Stock Index time series by a hybrid segmentation algorithm", Neural Processing Letters, Vol. 46, 2017, 767 - 790. JCR(2017): 1.787 Position: 63/132 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez. "Detection and prediction of segments containing extreme significant wave heights", Ocean Engineering, Vol. 142, 2017, 268 - 279. JCR(2017): 2.214 Position: 2/14 (Q1) Category: ENGINEERING, MARINE. A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez.. "Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation", Progress in Artificial Intelligence, Vol. 6, 2017, 59 - 66. SJR(2018): 0.513 Position: 71/191 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE. A.M. Durán-Rosal, C. Hervás-Martínez, A.J. Tallón-Ballesteros, A.C. Martínez-Estudillo and S. Salcedo-Sanz. "Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks", Ocean Engineering, Vol. 117, 2016, 292 - 301. JCR(2016): 1.894 Position: 2/14 (Q1) Category: ENGINEERING, MARINE. A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal , I. Dicaire, F. Fernandez-Navarro and C. Hervás-Martínez. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm", Climate Dynamics, Vol. 44, 2015, 1919-1933. JCR (2015): 4.708 Position: 8/84 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES.
Conference papers
V.M. Vargas, R. Ayllón-Gavilán, A.M. Durán-Rosal, P.A. Gutiérrez, C. Hervás-Martínez and D. Guijo-Rubio. "Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification", IWANN 2023: Advances in Computational Intelligence, Ponta Delgada (Portugal). 19th-21th June 2023, 505 - 516. A.M. Durán-Rosal, D. Guijo-Rubio, V.M. Vargas-Yun, A.M. Gómez-Orellana, P.A. Gutiérrez y J.C. Fernández. "Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study", Proceedings of the 13th International Conference on European Transnational Education (ICEUTE 2022), Salamanca (Spain). 5th-7th September 2022, 1 - 11. A.M. Durán-Rosal, P.A. Gutiérrez and C. Hervás-Martínez. "Detección y predicción de segmentos de altura de olas extremas", VI Congreso Cientı́fico de Investigadores en Formación. U. E. de Córdoba, Córdoba (Spain). 24th-26th January 2018, 509-512. D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso y C. Hervás-Martínez. "Time series clustering based on the characterisation of segment typologies", Proceedings of Third Bilbao Data Science Workshop (BiDAS 3), Bilbao (Spain). 8th-9th November 2018, 1. A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, F. Fernandez-Navarro, C. Hervás-Martínez and M. Pérez-Ortiz. "Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm", Proceedings of the 2018 European Planetary Science Congress, Berlin (Germany). 16th-21st September 2018, 1 - 2. D. Guijo-Rubio, A.M. Durán-Rosal, A. Gómez-Orellana, P.A. Gutiérrez and C. Hervás-Martínez. "Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction", Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018), Madrid (Spain). 21st-23rd November 2018, 171 - 179. A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez. "An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series", Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018), Granada (Spain). 23rd-28th September 2018, 209-218. A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez. "Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation", Bioinspired Optimization Methods and their Applications (BIOMA2018), Paris (France). 16th-18th May 2018, 126 - 137. A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez. "Multiobjective time series segmentation by improving clustering quality and reducing approximation error", Proceeding of the Metaheuristics International Conference (MIC 2017) and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017) Conference, Barcelona (Spain). 4th-7th June 2017, 920 - 922. A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez. "A coral reef optimization algorithm for wave height time series segmentation problems", 14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017), Cádiz (Spain). 14th-16th June 2017, 673 - 684. D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez and C. Hervás-Martínez. "Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos", Actas del I Congreso de Investigadores Noveles de la Universidad de Córdoba, Córdoba (Spain). 11th November 2016, 201 - 204. A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez. "Hybridization of neural network models for the prediction of extreme significant wave height segments", 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens (Greece). 6th-9th December 2016, 1 - 8. M. Dorado-Moreno, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz and C. Hervás-Martínez. "Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines", Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016), Salamanca (Spain). 14th-16th September 2016, 300 - 309. A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez. "On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm", Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016), Salamanca (Spain). 14th-16th September 2016, 418 - 427. A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez. "Time Series Representation by a Novel Hybrid Segmentation Algorithm", 1th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016), Sevilla (Spain). 18th-20th April 2016, 163 - 173. A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez. "Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series", 13th International Work-Conference on Artificial Neural Networks (IWANN 2015), Palma de Mallorca (Spain). 10th-12th June 2015, 69-79.