Diogo Nuno Freitas
Biography
Diogo Nuno Freitas completed a Master’s Degree in Mathematics, Statistics and Applications from the Faculty of Exact Sciences and Engineering of the University of Madeira and a Degree in Computer Engineering from the same institution. He is currently a PhD student in Computer Engineering and a researcher at the Interactive Technologies Institute and NOVA LINCS. His research interests include artificial neural networks and stochastic optimization algorithms.
Publications
2023
In: Ocean & Coastal Management, vol. 231, pp. 106406, 2023.
Marine Litter Education: From Awareness to Action Journal Article
In: Marine Pollution Bulletin, vol. 192, pp. 114963, 2023.
2022
Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection Journal Article
In: Entropy, vol. 24, no. 5, pp. 688, 2022.
Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection Journal Article
In: Entropy, vol. 24, no. 5, pp. 688, 2022.
Multiple Time Series Fusion Based on LSTM: An Application to CAP A Phase Classification Using EEG Journal Article
In: International Journal of Environmental Research and Public Health, vol. 19, no. 17, pp. 688, 2022.
2021
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG Journal Article
In: CoRR, vol. abs/2112.11218, 2021.
A Neural network-based approach for approximating arbitrary roots of polynomials Journal Article
In: Mathematics, vol. 9, no. 4, pp. 317, 2021.
MRF--PSO: MultiRoot finding particle swarm optimization algorithm for nonlinear functions Proceedings Article
In: Artificial Intelligence and Sustainable Computing, pp. 423–439, 2021.
Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG Journal Article
In: arXiv, 2021.
2020
Particle Swarm Optimisation: A Historical Review Up to the Current Developments Journal Article
In: Entropy, vol. 22, no. 3, pp. 362, 2020.