Taraneh Younesian

According to our database, Taraneh Younesian authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ReWise: A Relation-Wise Sampling Framework for Relational Graph Convolutional Networks.

Taraneh Younesian, Peter Bloem, Stefan Schlobach

Proceedings of the Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI, 2024

2023

GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks.

Taraneh Younesian, Thiviyan Thanapalasingam, Emile van Krieken, Daniel Daza, Peter Bloem

CoRR, 2023

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

QActor: Active Learning on Noisy Labels.

Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Active Learning for Noisy Data Streams Using Weak and Strong Labelers.

Taraneh Younesian, Dick H. J. Epema, 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

QActor: On-line Active Learning for Noisy Labeled Stream Data.

Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

CoRR, 2020

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.

Taraneh Younesian, Chi Hong, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Active Transfer Learning for Persian Offline Signature Verification.

Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini, Babak Nadjar Araabi

CoRR, 2019

Robust (Deep) Learning Framework Against Dirty Labels and Beyond.

Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen

Proceedings of the First IEEE International Conference on Trust, 2019