1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SP2025
An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification
Huian Yang, Rajeev Sahay
Deep learning has been shown to be highly effective for automatic modulation classification (AMC), which is a pivotal technology for next-generation cognitive communications. Yet,…
cs.LG2022
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge
Eustache Diemert, Romain Fabre, Alexandre Gilotte +6
Designing data sharing mechanisms providing performance and strong privacy guarantees is a hot topic for the Online Advertising industry. Namely, a prominent proposal discussed und…
eess.SP2022★ 1 cited
Uncertainty Detection and Reduction in Neural Decoding of EEG Signals
Tiehang Duan, Zhenyi Wang, Sheng Liu +2
EEG decoding systems based on deep neural networks have been widely used in decision making of brain computer interfaces (BCI). Their predictions, however, can be unreliable given…