• School of Engineering and Applied Science, Aston University

    B4 7ET Birmingham

    United Kingdom

20072019
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Fingerprint Dive into the research topics where Diego Faria is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 21 Similar Profiles
Classifiers Engineering & Materials Science
Human robot interaction Engineering & Materials Science
Robotics Engineering & Materials Science
Robots Engineering & Materials Science
Sensors Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Neural networks Engineering & Materials Science
Point contacts Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

Accent classification in human speech biometrics for native and non-native english speakers

Bird, J. J., Wanner, E., Ekárt, A. & Faria, D. R., 5 Jun 2019, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM, p. 554-560 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biometrics
Hidden Markov models
Speech recognition
Learning systems
Acoustic waves

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction

Bird, J., Faria, D., Manso, L. J., Ekárt, A. & Buckingham, C. D., 13 Mar 2019, In : Complexity. 2019, 14 p., 4316548.

Research output: Contribution to journalArticle

Open Access
File
Electroencephalography
Brain
Classifiers
Multilayer neural networks
Evolutionary algorithms

A Study on Mental State Classification using EEG-based Brain-Machine Interface

Bird, J., Manso, L. J., Ribeiro, E. P., Ekárt, A. & Faria, D., 8 May 2019, 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. Martins, J., Jotsov, V., Bierwolf, R., Mendonca, J. P., Jardim-Goncalves, R. & Marques, M. (eds.). IEEE, p. 795-800 6 p. 8710576. (2018 International Conference on Intelligent Systems (IS)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electroencephalography
Brain
Classifiers
Bayesian networks
Support vector machines

Classification of EEG Signals Based on Image Representation of Statistical Features

Ashford, J., Bird, J., Campelo, F. & Faria, D., 30 Aug 2019, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019. Ju, Z., Zhou, D., Gegov, A., Yang, L. & Yang, C. (eds.). Springer, Vol. 1043. p. 449-460 12 p. (Advances in Intelligent Systems and Computing; vol. 1043).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electroencephalography
Neural networks
Image classification

Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology

Bird, J. J., Ekárt, A., Buckingham, C. D. & Faria, D. R., 23 Jun 2019, Intelligent Computing - Proceedings of the 2019 Computing Conference. Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag Wien, p. 751-762 12 p. (Advances in Intelligent Systems and Computing; vol. 997).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Neural networks
Multilayer neural networks
Network architecture
Neurons