Projects per year
Organization profile
We explore the nature of intelligence and we build intelligent systems.
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Dive into the research topics where Artificial Intelligence is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Neill Campbell
- Department of Computer Science - Professor
- Centre for the Analysis of Motion, Entertainment Research & Applications
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- UKRI CDT in Accountable, Responsible and Transparent AI
- Centre for Autonomous Robotics (CENTAUR)
- Centre for Mathematics and Algorithms for Data (MAD)
- Artificial Intelligence
- Visual Computing
Person: Research & Teaching
Projects
- 4 Active
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Transdermal Diagnostics: non-invasive, affordable, continuous glucose monitoring for diabetes management and prevention
1/07/22 → 30/06/23
Project: Central government, health and local authorities
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Transdermal Diagnostics: non-invasive, affordable, continuous glucose monitoring for diabetes management and prevention
Ilie, A. & Golbabaee, M.
2/05/22 → 1/05/23
Project: Research council
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MAchine Learning And Rheumatic Diseases
Royal United Hospitals Bath NHS Foundation Trust
1/03/22 → 31/03/23
Project: Central government, health and local authorities
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Photochemical Fingerprinting Is a Sensitive Probe for the Detection of Synthetic Cannabinoid Receptor Agonists; Toward Robust Point-of-Care Detection
Andrews, R., May, B., Hernández, F. J., Townsend, P., Cozier, G., Sutcliffe, O. B., Haines, T. S. F., Freeman, T., Scott, J., Husbands, S., Blagbrough, I., Bowman, R., Lewis, S., Grayson, M., Crespo-Otero, R., Carbery, D. & Pudney, C., 17 Jan 2023, In: Analytical Chemistry. 95, 2, p. 703-713Research output: Contribution to journal › Article › peer-review
Open AccessFile19 Downloads (Pure) -
Aligned Multi-Task Gaussian Process
Mikheeva, O., Kazlauskaite, I., Hartshorne, A., Kjellström, H., Ek, C. H. & Campbell, N., 2022.Research output: Contribution to conference › Paper › peer-review
File -
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching
Chen, C. & Campbell, N., 24 Nov 2022.Research output: Contribution to conference › Paper › peer-review
Open Access