| Masa: Responsive multi-dnn inference on the edge B Cox, J Galjaard, A Ghiassi, R Birke, LY Chen 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 34 | 2021 |
| 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 |
| Online label aggregation: A variational bayesian approach C Hong, A Ghiassi, Y Zhou, R Birke, LY Chen Proceedings of the Web Conference 2021, 1904-1915, 2021 | 9* | 2021 |
| Mema: Fast inference of multiple deep models J Galjaard, B Cox, A Ghiassi, LY Chen, R Birke 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 8 | 2021 |
| Trusted loss correction for noisy multi-label learning A Ghiassi, CO Pene, R Birke, LY Chen Asian Conference on Machine Learning, 343-358, 2023 | 7 | 2023 |
| Multi label loss correction against missing and corrupted labels A Ghiassi, R Birke, LY Chen Asian Conference on Machine Learning, 359-374, 2023 | 6 | 2023 |
| 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 |
| Labelnet: Recovering noisy labels A Ghiassi, R Birke, R Han, LY Chen 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 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 |
| LABNET: A Collaborative Method for DNN Training and Label Aggregation. A Ghiassi, R Birke, LY Chen ICAART (2), 56-66, 2022 | 3 | 2022 |
| 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 | 2* | 2021 |
| 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 | 2 | 2020 |
| Robust Learning via Golden Symmetric Loss of (un) Trusted Labels A Ghiassi, R Birke, LY Chen Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Expertnet: Adversarial learning and recovery against noisy labels A Ghiassi, R Birke, R Han, LY Chen arXiv preprint arXiv:2007.05305, 2020 | 1 | 2020 |
| Multi-inference on the edge: Scheduling networks with limited available memory J Galjaard, B Cox, L Chen, A Ghiassi | 1 | 2020 |
| Label Alchemy: Transforming Noisy Data into Precious Insights in Deep Learning S Ghiassi | | 2024 |
| Artifact: Masa: Responsive Multi-DNN Inference on the Edge B Cox, J Galjaard, A Ghiassi, R Birke, LY Chen 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | | 2021 |
| Robust multi-label learning for weakly labeled data A Marinov | | 2021 |
| Multi-AL: Robust Active learning for Multi-label Classifier MJ Basting, T Younesian, A Ghiassi, L Chen | | 2021 |
Lydia Y. ChenUniversity of Neuchatel/ TU DelftVerified email at ieee.org
