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Gavin Brown

Prof

Personal profile

My group

Research interests

Machine Learning.

Education/Academic qualification

Unknown, PhD Computer Science: Diversity in Neural Network Ensembles, University of Birmingham

1 Sept 19981 Sept 2003

Award Date: 1 Jul 2004

Research Beacons, Institutes and Platforms

  • Institute for Data Science and AI
  • Digital Futures
  • Christabel Pankhurst Institute

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  5. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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Collaborations and top research areas from the last five years

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  • Bias/Variance is not the same as Approximation/Estimation

    Brown, G. & Ali, R., 5 Mar 2024, In: Transactions on Machine Learning Research .

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    610 Downloads (Pure)
  • FINESSD: Near-Storage Feature Selection with Mutual Information for Resource-Limited FPGAs

    Kyparissas, N., Brown, G. & Luján, M., May 2024, p. 173-184.

    Research output: Contribution to conferencePaperpeer-review

    Open Access
    File
    294 Downloads (Pure)
  • Low-cost and efficient prediction hardware for tabular data using Tiny Classifier Circuits

    Iordanou, K., Atkinson, T., Ozer, E., Kufel, J., Aligada, G., Biggs, J., Brown, G. & Luján, M., 25 Apr 2024, In: Nature Electronics.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • A Unified Theory of Diversity in Ensemble Learning

    Wood, D., Mu, T., Webb, A., Reeve, H. W. J., Luján, M. & Brown, G., 19 Dec 2023, In: Journal of Machine Learning Research. 24, 359, p. 1-49

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    28 Downloads (Pure)
  • Outlier detection of vital sign trajectories from COVID-19 patients

    Summerton, S., Tivey, A., Shotton, R., Brown, G., Redfern, O. C., Oakley, R., Radford, J. & Wong, D. C., 11 Dec 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. IEEE, Vol. 2023. p. 1-4 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Conference proceedingConference contributionpeer-review