Photo of Diego Faria
    • 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.

    • 11 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