Projects per year
Organisation profile
Organisation profile
Research in the Biocomputation Research Group involves the development of computational models to study biological systems, and the application of biologically-inspired machine learning algorithms for the analysis of real-world data. Members of the Biocomputation Group analyse and simulate computational models at different levels of complexity, and collaborate closely with leading experimentalists in the UK and abroad.
Research in the Biocomputation Group concentrates on the following areas:
- Computational Neuroscience
- Machine Learning and Data Science
- Neuromorphic Computing and Neurorobotics
- Systems Biology
- Bioinformatics
- Algebraic Biology
For more information on the group's activities see http://biocomputation.herts.ac.uk/
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Profiles
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An evolutionary ensemble learning for diagnosing COVID-19 via cough signals
Tayarani, M., 21 Sept 2023, In: Intelligent Medicine. 3, 3, p. 1-13 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
Enhancing Cross-Subject Motor Imagery Classification in EEG-Based Brain–Computer Interfaces by Using Multi-Branch CNN
Chowdhury, R. R., Muhammad, Y. & Adeel, U., 15 Sept 2023, In: Sensors. 23, 18, 16 p., 7908.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
On Instance Weighted Clustering Ensembles
Moggridge, P., Helian, N., Sun, Y. & Lilley, M., 12 Oct 2023.Research output: Contribution to conference › Paper › peer-review