Eyal Fishel Ben-Knaan — accepted AI-conference papers

2022

CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection

Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad

ICASSP 2022accepted

We propose a convolutional neural network (CNN) aided factor graphs assisted by mutual information features estimated by a neural network for seizure detection. Specifically, we use neural mutual information estimation to evaluate the correlation between different electroencephalogram (EEG) channels…

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2022

Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing

Eyal Fishel Ben-Knaan, Yonina C. Eldar, Nir Shlezinger

ICASSP 2022accepted

The ongoing pandemic and the necessity of frequent testing have spurred a growing interest in pooled testing. Conventional recovery methods from pooled tests are based on group testing or compressed sensing tools which rely on simplistic modeling of the pooling process, and may not be reliable in th…

Cited by 0 Source ↗Scholar ↗