Antonio Manuel Durán-Rosal
Orcid: 0000-0003-4587-357X
According to our database1,
Antonio Manuel Durán-Rosal
authored at least 26 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci., November, 2023
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction.
Appl. Soft Comput., October, 2023
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks.
Appl. Soft Comput., January, 2023
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
Proceedings of the Advances in Computational Intelligence, 2023
2022
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
2021
IEEE Trans. Cybern., 2021
A new approach for optimal offline time-series segmentation with error bound guarantee.
Pattern Recognit., 2021
2020
2019
Dynamical memetization in coral reef optimization algorithms for optimal time series approximation.
Prog. Artif. Intell., 2019
Neurocomputing, 2019
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation.
Neurocomputing, 2019
2018
Simultaneous optimisation of clustering quality and approximation error for time series segmentation.
Inf. Sci., 2018
CoRR, 2018
A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series.
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series.
Proceedings of the Advances in Artificial Intelligence, 2018
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
2017
Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation.
Prog. Artif. Intell., 2017
Identifying Market Behaviours Using European Stock Index Time Series by a Hybrid Segmentation Algorithm.
Neural Process. Lett., 2017
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems.
Proceedings of the Advances in Computational Intelligence, 2017
2016
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series.
Proceedings of the Advances in Computational Intelligence, 2015