Project Details
| Acronym | Elastic Neural Network for Continual |
|---|---|
| Status | Finished |
| Effective start/end date | 1/06/22 → 31/05/24 |
Funding
- Leverhulme Trust: £156,217.00
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 project contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Continual learning in sensor-based human activity recognition with dynamic mixture of experts
Rahman, F., Schiemer, M., Rosales Sanabria, A. & Ye, J., 1 May 2025, In: Pervasive and Mobile Computing. 110, 18 p., 102044.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Opportunistic dynamic architecture for class-incremental learning
Rahman, F., Rosales Sanabria, A. & Ye, J., 31 Mar 2025, In: IEEE Access. 13, p. 1-11 11 p., 10946184.Research output: Contribution to journal › Review article › peer-review
Open AccessFile -
Online continual learning for human activity recognition
Schiemer, M., Fang, L., Dobson, S. & Ye, J., 8 Jul 2023, In: Pervasive and Mobile Computing. 93, 20 p., 101817.Research output: Contribution to journal › Article › peer-review
Open AccessFile