Publications

A hybrid optimization and data-driven approach to understand the role of the risk-aversion profile parameter in portfolio optimization problems with shorting constraints

Mariano Carbonero-Ruz, F. Fernández-Navarro A.M. Durán-Rosal, and J. Pérez-Rodríguez

Operations Research Perspectives · Vol. 15 · 100353

JCR(2024): 3.7 Position: 30/106 (Q2) Category: OPERATIONS RESEARCH & MANAGEMENT SCIENCE

Global and Diverse Ensemble model for regression

A.M. Durán-Rosal, T. Ashley, J. Pérez-Rodríguez and F. Fernández-Navarro

Neurocomputing · Vol. 647 · 130520

JCR(2024): 6.5 Position: 37/204 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks

F. Bérchez-Moreno, A.M. Durán-Rosal, C. Hervás-Martínez, P.A. Gutiérrez and J.C. Fernández

Scientifc Reports · Vol. 14 · 6961

JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation

V.M. Vargas, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez

Information Sciences · Vol. 648 · 119606

JCR(2022): 8.1, Position: 13/158 (Q1D1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS

An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction

D. Guijo-Rubio, A.M. Durán-Rosal, A.M. Gómez-Orellana and J.C. Fernández

Applied Soft Computing · Vol. 146 · 110647

JCR(2022): 8.7 Position: 21/145 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Boosting ridge for the extreme learning machine globally optimised for classification and regression problems

C. Peráles-González, J. Pérez-Rodríguez and A.M. Durán-Rosal

Scientifc Reports · Vol. 13 · 11809

JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks

A.M. Durán-Rosal, A. Durán-Fernández, F. Fernández-Navarro and M. Carbonero-Ruz

Applied Soft Computing · Vol. 133 · 109914

JCR(2022): 8.7 Position: 21/145 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

A mixed distribution to fix the threshold for Peak-Over-Threshold wave height estimation

A.M. Durán-Rosal, M. Carbonero-Ruz, P.A. Gutiérrez and C. Hervás-Martínez

Scientifc Reports · Vol. 12 · 17327

JCR(2022): 4.6 Position: 22/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición

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

Revista de Innovación y Buenas Prácticas Docentes · Vol. 10 · 101-106

A new approach for optimal offline time-series segmentation with error bound guarantee

Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and A.M. Durán-Rosal

Pattern Recognition · Vol. 115 · 107917

JCR(2021): 8.518 Position: 22/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ordinal classification of the affectation level of 3D-images in Parkinson diseases

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

Scientifc Reports · Vol. 11 · 7067

JCR(2021): 4.996 Position: 19/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES

Time series clustering based on the characterisation of segment typologies

D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso and C. Hervás-Martínez

IEEE Transactions on Cybernetics · Vol. 51 · 5409-5422

JCR(2021): 19.118 Position: 3/144 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Evolutionary artificial neural networks for accurate solar radiation prediction

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

Energy · Vol. 210 · 118374

JCR(2020): 7.147 Position: 3/62 (Q1) Category: THERMODYNAMICS

A new approach for optimal time-series segmentation

Á. Carmona-Poyato, N.L. Fernández-García, F.J. Madrid-Cuevas and A.M. Durán-Rosal

Pattern Recognition Letters · Vol. 135 · 153 - 159

JCR(2020): 3.756 Position: 46/140 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation

A.M. Durán-Rosal, P.A. Gutiérrez, Á. Carmona-Poyato and C. Hervás-Martínez

Neurocomputing · Vol. 353 · 45 - 55

JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation

A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez

Progress in Artificial Intelligence · Vol. 8 · 253 - 262

SJR(2019): 0.650 Position: 73/191 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

On the use of evolutionary time series analysis for segmenting paleoclimate data

M. Pérez-Ortiz, A.M. Durán-Rosal, P.A. Gutiérrez, J. Sánchez-Monedero, A. Nikolaou, F. Fernandez-Navarro and C. Hervás-Martínez

Neurocomputing · Vol. 326 · 3 - 14

JCR(2019): 4.438 Position: 28/136 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks

A.M. Durán-Rosal, J.C. Fernández, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz and C. Hervás-Martínez

Applied Soft Computing · Vol. 70 · 347 - 358

JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Simultaneous optimisation of clustering quality and approximation error for time series segmentation

A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez

Information Sciences · Vol. 442 · 186 - 201

JCR(2018): 5.524 Position: 9/155 (Q1) Category: COMPUTER SCIENCE, INFORMATION SYSTEMS

A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series

A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez

Applied Soft Computing · Vol. 63 · 139 - 153

JCR(2018): 4.873 Position: 20/134 (Q1) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Identifying market behaviours using European Stock Index time series by a hybrid segmentation algorithm

A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez

Neural Processing Letters · Vol. 46 · 767 - 790

JCR(2017): 1.787 Position: 63/132 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Detection and prediction of segments containing extreme significant wave heights

A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez

Ocean Engineering · Vol. 142 · 268 - 279

JCR(2017): 2.214 Position: 2/14 (Q1) Category: ENGINEERING, MARINE

Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation

A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez.

Progress in Artificial Intelligence · Vol. 6 · 59 - 66

SJR(2018): 0.513 Position: 71/191 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks

A.M. Durán-Rosal, C. Hervás-Martínez, A.J. Tallón-Ballesteros, A.C. Martínez-Estudillo and S. Salcedo-Sanz

Ocean Engineering · Vol. 117 · 292 - 301

JCR(2016): 1.894 Position: 2/14 (Q1) Category: ENGINEERING, MARINE

Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm

A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal , I. Dicaire, F. Fernandez-Navarro and C. Hervás-Martínez

Climate Dynamics · Vol. 44 · 1919-1933

JCR (2015): 4.708 Position: 8/84 (Q1) Category: METEOROLOGY & ATMOSPHERIC SCIENCES

Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification

V.M. Vargas, R. Ayllón-Gavilán, A.M. Durán-Rosal, P.A. Gutiérrez, C. Hervás-Martínez and D. Guijo-Rubio

IWANN 2023: Advances in Computational Intelligence · Ponta Delgada (Portugal) · 19th-21th June

Pages: 505 - 516

Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study

A.M. Durán-Rosal, D. Guijo-Rubio, V.M. Vargas-Yun, A.M. Gómez-Orellana, P.A. Gutiérrez y J.C. Fernández

Proceedings of the 13th International Conference on European Transnational Education (ICEUTE 2022) · Salamanca (Spain) · 5th-7th September

Pages: 1 - 11

Detección y predicción de segmentos de altura de olas extremas

A.M. Durán-Rosal, P.A. Gutiérrez and C. Hervás-Martínez

VI Congreso Cientı́fico de Investigadores en Formación. U. E. de Córdoba · Córdoba (Spain) · 24th-26th January

Pages: 509-512

Time series clustering based on the characterisation of segment typologies

D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez, A. Troncoso y C. Hervás-Martínez

Proceedings of Third Bilbao Data Science Workshop (BiDAS 3) · Bilbao (Spain) · 8th-9th November

Pages: 1

Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm

A. Nikolaou, P.A. Gutiérrez, A.M. Durán-Rosal, F. Fernandez-Navarro, C. Hervás-Martínez and M. Pérez-Ortiz

Proceedings of the 2018 European Planetary Science Congress · Berlin (Germany) · 16th-21st September

Pages: 1 - 2

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction

D. Guijo-Rubio, A.M. Durán-Rosal, A. Gómez-Orellana, P.A. Gutiérrez and C. Hervás-Martínez

Proceedings of the 2018 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2018) · Madrid (Spain) · 21st-23rd November

Pages: 171 - 179

An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series

A.M. Durán-Rosal, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez

Proceedings of the 2018 Conference of the Spanish Association for Artificial Intelligence (CAEPIA2018) · Granada (Spain) · 23rd-28th September

Pages: 209-218

Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation

A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez and C. Hervás-Martínez

Bioinspired Optimization Methods and their Applications (BIOMA2018) · Paris (France) · 16th-18th May

Pages: 126 - 137

Multiobjective time series segmentation by improving clustering quality and reducing approximation error

A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez

Proceeding of the Metaheuristics International Conference (MIC 2017) and the XII Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2017) Conference · Barcelona (Spain) · 4th-7th June

Pages: 920 - 922

A coral reef optimization algorithm for wave height time series segmentation problems

A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, S. Salcedo-Sanz and C. Hervás-Martínez

14th International Work-Conference on Artificial and Natural Neural Networks (IWANN2017) · Cádiz (Spain) · 14th-16th June

Pages: 673 - 684

Clustering de Series Temporales basado en la Extracción de Tipologías de Segmentos

D. Guijo-Rubio, A.M. Durán-Rosal, P.A. Gutiérrez and C. Hervás-Martínez

Actas del I Congreso de Investigadores Noveles de la Universidad de Córdoba · Córdoba (Spain) · 11th November

Pages: 201 - 204

Hybridization of neural network models for the prediction of extreme significant wave height segments

A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez and C. Hervás-Martínez

2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016) · Athens (Greece) · 6th-9th December

Pages: 1 - 8

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines

M. Dorado-Moreno, A.M. Durán-Rosal, D. Guijo-Rubio, P.A. Gutiérrez, L. Prieto, S. Salcedo-Sanz and C. Hervás-Martínez

Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016) · Salamanca (Spain) · 14th-16th September

Pages: 300 - 309

On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm

A.M. Durán-Rosal, M. Dorado-Moreno, P.A. Gutiérrez and C. Hervás-Martínez

Proceedings of the 17th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2016) · Salamanca (Spain) · 14th-16th September

Pages: 418 - 427

Time Series Representation by a Novel Hybrid Segmentation Algorithm

A.M. Durán-Rosal, P.A. Gutiérrez, F.J. Martínez-Estudillo and C. Hervás-Martínez

1th International Conference on Hybrid Artificial Intelligent Systems (HAIS2016) · Sevilla (Spain) · 18th-20th April

Pages: 163 - 173

Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series

A.M. Durán-Rosal, M. de la Paz Marín, P.A. Gutiérrez and C. Hervás-Martínez

13th International Work-Conference on Artificial Neural Networks (IWANN 2015) · Palma de Mallorca (Spain) · 10th-12th June

Pages: 69-79