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 semi-supervised learning
Showing results 1 to 6 of 6
| Issue Date | Title | Author(s) |
| 1-Oct-2018 | MSML: A Novel Multi-level Semi-supervised Machine Learning Framework for Intrusion Detection System | Yao, H; Fu, D; Zhang, P; Li, M; Liu, Y |
| 7-Mar-2025 | A Novel Hierarchical Generative Model for Semi-Supervised Semantic Segmentation of Biomedical Images | Chai, L; Wang, Z; Shao, Y; Liu, Q |
| 7-Oct-2024 | Semi-Supervised 3D Medical Image Segmentation Using Multi-Consistency Learning With Fuzzy Perception-Guided Target Selection | Lei, T; Song, W; Zhang, W; Du, X; Li, C; He, L; Nandi, AK |
| 30-Nov-2022 | Semi-supervised medical image segmentation using adversarial consistency learning and dynamic convolution network | Lei, T; Zhang, D; Du, X; Wang, X; Wan, Y; Nandi, AK |
| 23-Sep-2024 | Unified Feature Consistency of Under-Performing Pixels and Valid Regions for Semi-Supervised Medical Image Segmentation | Lei, T; Wang, Y; Wang, X; Wang, X; Hu, B; Nandi, AK |
| 10-Mar-2025 | XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition | Mohana, M; Subashini, P; Ghinea, G |
