1. Collaborative preference embedding against sparse labels;S Bao;Proceedings of the 27th ACM International Conference on Multimedia,2019
2. Dense open-set recognition based on training with noisy negative images;P Bevandi?;Image and Vision Computing,2022
3. Lof: Identifying density-based local outliers;M M Breunig;Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data,2000
4. Multi-label image recognition with two-stream dynamic graph convolution networks;P Cao;Image and Vision Computing,2021
5. Label co-occurrence learning with graph convolutional networks for multi-label chest x-ray image classification;B Chen;IEEE Journal of Biomedical and Health Informatics,2020