| QActor: Active Learning on Noisy Labels T Younesian, Z Zhao, A Ghiassi, R Birke, LY Chen Asian Conference on Machine Learning, 548-563, 2021 | 17 | 2021 |
| Robust (Deep) Learning Framework Against Dirty Labels and Beyond A Ghiassi, T Younesian, Z Zhao, R Birke, V Schiavoni, LY Chen 2019 First IEEE International Conference on Trust, Privacy and Security in …, 2019 | 15 | 2019 |
| Active Transfer Learning for Persian Offline Signature Verification T Younesian, S Masoudnia, R Hosseini, BN Araabi 2019 4th International Conference on Pattern Recognition and Image Analysis …, 2019 | 14 | 2019 |
| Active Learning for Noisy Data Streams Using Weak and Strong Labelers T Younesian, D Epema, LY Chen arXiv preprint arXiv:2010.14149, 2020 | 12 | 2020 |
| Trustnet: Learning from trusted data against (a) symmetric label noise A Ghiassi, R Birke, L Y. Chen Proceedings of the 2021 IEEE/ACM 8th International Conference on Big Data …, 2021 | 5 | 2021 |
| QActor: On-line Active Learning for Noisy Labeled Stream Data T Younesian, Z Zhao, A Ghiassi, R Birke, LY Chen arXiv preprint arXiv:2001.10399, 2020 | 5 | 2020 |
| Grapes: Learning to sample graphs for scalable graph neural networks T Younesian, D Daza, E van Krieken, T Thanapalasingam, P Bloem arXiv preprint arXiv:2310.03399, 2023 | 4 | 2023 |
| End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models T Younesian, C Hong, A Ghiassi, R Birke, LY Chen 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 3 | 2020 |
| Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators CO Pene, A Ghiassi, T Younesian, R Birke, LY Chen arXiv preprint arXiv:2108.02032, 2021 | 2 | 2021 |
| ReWise: A Relation-Wise Sampling Framework for Relational Graph Convolutional Networks T Younesian, P Bloem, S Schlobach Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 123-141, 2024 | | 2024 |
| Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators C Octavian Pene, A Ghiassi, T Younesian, R Birke, LY Chen arXiv e-prints, arXiv: 2108.02032, 2021 | | 2021 |
Lydia Y. ChenUniversity of Neuchatel/ TU Delftieee.org의 이메일 확인됨