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Taraneh Younesian
Taraneh Younesian
PhD student at VU Amsterdam
Geverifieerd e-mailadres voor vu.nl
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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
152019
QActor: Active Learning on Noisy Labels
T Younesian, Z Zhao, A Ghiassi, R Birke, LY Chen
Asian Conference on Machine Learning, 548-563, 2021
122021
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
122019
Active Learning for Noisy Data Streams Using Weak and Strong Labelers
T Younesian, D Epema, LY Chen
arXiv preprint arXiv:2010.14149, 2020
112020
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
52020
Trustnet: Learning from trusted data against (a) symmetric label noise
A Ghiassi, R Birke, L Y. Chen
2021 IEEE/ACM 8th International Conference on Big Data Computing …, 2021
42021
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
12021
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
12020
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
T Younesian, T Thanapalasingam, E van Krieken, D Daza, P Bloem
arXiv preprint arXiv:2310.03399, 2023
2023
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
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Artikelen 1–10