Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject outlier detection
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 22-Oct-2025 | Learning With Noisy Labels for Industrial Time Series Outlier Detection: A Transformer-Embedded Contrastive Learning Framework | Fang, J; Wang, Z; Liu, W; Zeng, N; He, Y; Cao, Y; Chen, L; Liu, X |
| 29-Dec-2022 | A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing | Fang, J; Wang, Z; Liu, W; Lauria, S; Zeng, N; Prieto, C; Sikstrom, F; Liu, X |
| 29-Dec-2023 | A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing | Fang, J; Wang, Z; Liu, W; Chen, L; Liu, X |
| 24-Jan-2025 | A Novel Hyperparameter Optimization Approach for Supervised Classification: Phase Prediction of Multi-Principal Element Alloys | Fatimi, SH; Wang, Z; Chang, ITH; Liu, W; Liu, X |
| 27-Aug-2025 | A Transfer-Learning-Assisted Role-Differentiated Approach for Industrial Outlier Detection under Label Noise | Fang, J; Wang, Z; Liu, W; Liu, X |