7 citations · 7 across the 1 of their papers we have counts for
2 papers
cs.AR2024★ 7 cited
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library
Binglei Lou, David Boland, Philip H. W. Leong
Machine learning ensembles combine multiple base models to produce a more accurate output. They can be applied to a range of machine learning problems, including anomaly detection.…
eess.SP2019
Unrolling Ternary Neural Networks
Stephen Tridgell, Martin Kumm, Martin Hardieck +4
The computational complexity of neural networks for large scale or real-time applications necessitates hardware acceleration. Most approaches assume that the network architecture a…