1 citations · 1 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2025★ 1 cited
A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys
Yufeng Luo, Adam D. Myers, Alex Drlica-Wagner +7
As the data volume of astronomical imaging surveys rapidly increases, traditional methods for image anomaly detection, such as visual inspection by human experts, are becoming impr…
cs.LG2023
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices
Samir Rajani, Dario Dematties, Nathaniel Hudson +4
Federated learning (FL) is increasingly becoming the default approach for training machine learning models across decentralized Internet-of-Things (IoT) devices. A key advantage of…