31 citations · 31 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Improving Model Classification by Optimizing the Training Dataset
Morad Tukan, Loay Mualem, Eitan Netzer +1
In the era of data-centric AI, the ability to curate high-quality training data is as crucial as model design. Coresets offer a principled approach to data reduction, enabling effi…
cs.DS2019★ 31 cited
Real-Time EEG Classification via Coresets for BCI Applications
Eitan Netzer, Alex Frid, Dan Feldman
A brain-computer interface (BCI) based on the motor imagery (MI) paradigm translates one's motor intention into a control signal by classifying the Electroencephalogram (EEG) signa…