Robust (Deep) Learning Framework Against Dirty Labels and Beyond. - Amirmasoud Ghiassi; Taraneh Younesian; Zilong Zhao 001; Robert Birke; Valerio Schiavoni; Lydia Y. Chen (TPS-ISA, 2019)

Active Transfer Learning for Persian Offline Signature Verification. - Taraneh Younesian; Saeed Masoudnia; Reshad Hosseini; Babak Nadjar Araabi (CoRR, 2019)

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models. - Taraneh Younesian; Chi Hong; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (CogMI, 2020)

QActor: On-line Active Learning for Noisy Labeled Stream Data. - Taraneh Younesian; Zilong Zhao 001; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (CoRR, 2020)

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise. - Amirmasoud Ghiassi; Taraneh Younesian; Robert Birke; Lydia Y. Chen (CoRR, 2020)

Active Learning for Noisy Data Streams Using Weak and Strong Labelers. - Taraneh Younesian; Dick H. J. Epema; Lydia Y. Chen (CoRR, 2020)

QActor: Active Learning on Noisy Labels. - Taraneh Younesian; Zilong Zhao 001; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (ACML, 2021)

Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators. - Cosmin Octavian Pene; Amirmasoud Ghiassi; Taraneh Younesian; Robert Birke; Lydia Y. Chen (CoRR, 2021)

ReWise: A Relation-Wise Sampling Framework for Relational Graph Convolutional Networks. - Taraneh Younesian; Peter Bloem; Stefan Schlobach (SEMANTICS, 2024)

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks. - Taraneh Younesian; Daniel Daza; Emile van Krieken; Thiviyan Thanapalasingam; Peter Bloem (Trans. Mach. Learn. Res., 2025)