Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series. - Antonio Manuel Durán-Rosal; Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2015)

Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines. - Manuel Dorado-Moreno; Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; Luis Prieto; Sancho Salcedo-Sanz; César Hervás-Martínez (CAEPIA, 2016)

On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2016)

Time Series Representation by a Novel Hybrid Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez Peña; Francisco José Martínez-Estudillo; César Hervás-Martínez (HAIS, 2016)

Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments. - Antonio Manuel Durán-Rosal; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (SSCI, 2016)

A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (IWANN (1), 2017)

Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm. - Antonio Manuel Durán-Rosal; Monica-de la Paz-Marin; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2017)

Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation. - Antonio Manuel Durán-Rosal; Manuel Dorado-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (Prog. Artif. Intell., 2017)

Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (BIOMA, 2018)

An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (CAEPIA, 2018)

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; César Hervás-Martínez (IDEAL (2), 2018)

Efficient fog prediction with multi-objective evolutionary neural networks. - Antonio Manuel Durán-Rosal; Juan Carlos Fernández 001; Carlos Casanova-Mateo; Julia Sanz-Justo; Sancho Salcedo-Sanz; César Hervás-Martínez (Appl. Soft Comput., 2018)

A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (Appl. Soft Comput., 2018)

Time series clustering based on the characterisation of segment typologies. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Alicia Troncoso; César Hervás-Martínez (CoRR, 2018)

Simultaneous optimisation of clustering quality and approximation error for time series segmentation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Francisco José Martínez-Estudillo; César Hervás-Martínez (Inf. Sci., 2018)

A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Ángel Carmona-Poyato; César Hervás-Martínez (Neurocomputing, 2019)

On the use of evolutionary time series analysis for segmenting paleoclimate data. - María Pérez-Ortiz 001; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Javier Sánchez-Monedero; Athanasia Nikolaou; Francisco Fernández-Navarro; César Hervás-Martínez (Neurocomputing, 2019)

Dynamical memetization in coral reef optimization algorithms for optimal time series approximation. - Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (Prog. Artif. Intell., 2019)

A new approach for optimal time-series segmentation. - Ángel Carmona-Poyato; Nicolás Luis Fernández García; Francisco José Madrid-Cuevas; Antonio Manuel Durán-Rosal (Pattern Recognit. Lett., 2020)

A new approach for optimal offline time-series segmentation with error bound guarantee. - Ángel Carmona-Poyato; Nicolás Luis Fernández García; Francisco José Madrid-Cuevas; Antonio Manuel Durán-Rosal (Pattern Recognit., 2021)

Time-Series Clustering Based on the Characterization of Segment Typologies. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; Alicia Troncoso; César Hervás-Martínez (IEEE Trans. Cybern., 2021)

Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Víctor Manuel Vargas; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; Juan Carlos Fernández 001 (CISIS-ICEUTE, 2022)

Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. - Víctor Manuel Vargas; Rafael Ayllón-Gavilán; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks. - Antonio Manuel Durán-Rosal; Aggeo Durán-Fernández; Francisco Fernández-Navarro; Mariano Carbonero-Ruz (Appl. Soft Comput., 2023)

An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction. - David Guijo-Rubio; Antonio Manuel Durán-Rosal; Antonio M. Gómez-Orellana; Juan Carlos Fernández 001 (Appl. Soft Comput., 2023)

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. - Víctor Manuel Vargas; Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (Inf. Sci., 2023)

Global and Diverse Ensemble model for regression. - Antonio Manuel Durán-Rosal; Thomas Ian Ashley; Javier Pérez-Rodríguez; Francisco Fernández-Navarro (Neurocomputing, 2025)