Morgado Dias

Biography
Fernando Morgado-Dias was born in Coimbra, Portugal, in 1971. He received his Master’s degree in Microelectronics from the University Joseph Fourier in Grenoble, France, in 1995 and his PhD from the University of Aveiro, Portugal, in 2005 and is currently an Associated Professor with Habilitation at the University of Madeira and Researcher at ITI/Larsys.
His research interests include Machine Learning, Sleep, Digital Hardware and Renewable Energy. He is currently working on the following projects: Restaurant Review and Sentiment Output, Maritimo Training Lab, Banana Sensing and Sleep Revolution.
Related Projects
Publications
2022
Correction: Hayat et al. Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches. Information 2022, 13, 275 Journal Article
In: Inf., vol. 13, no. 9, pp. 432, 2022.
Automatic detection of cyclic alternating pattern Journal Article
In: Neural Comput. Appl., vol. 34, no. 13, pp. 11097–11107, 2022.
A Motion and Illumination Resistant Non-Contact Method Using Undercomplete Independent Component Analysis and Levenberg-Marquardt Algorithm Journal Article
In: IEEE J. Biomed. Health Informatics, vol. 26, no. 10, pp. 4837–4848, 2022.
ProBoost: a Boosting Method for Probabilistic Classifiers Journal Article
In: CoRR, vol. abs/2209.01611, 2022.
Variational Autoencoder Kernel Interpretation and Selection for Classification Journal Article
In: CoRR, vol. abs/2209.04715, 2022.
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.
A method based on cardiopulmonary coupling analysis for sleep quality assessment with FPGA implementation Journal Article
In: Artif. Intell. Medicine, vol. 112, pp. 102019, 2021.
Column amplification stages in CMOS image sensors based on incremental sigma-delta ADCs Journal Article
In: Microelectron. J., vol. 113, pp. 105055, 2021.