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most citedDREAMS: A python framework for Training Deep Learning Models on EEG Data with Model Card Reporting for Medical Applications

3 citations · 4 across the 6 of their papers we have counts for

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cs.AI2024★ 3 cited

DREAMS: A python framework for Training Deep Learning Models on EEG Data with Model Card Reporting for Medical Applications

Rabindra Khadka, Pedro G Lind, Anis Yazidi +1

Electroencephalography (EEG) provides a non-invasive way to observe brain activity in real time. Deep learning has enhanced EEG analysis, enabling meaningful pattern detection for…

nlin.CG2024

A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks

Tom Eivind Glover, Ruben Jahren, Francesco Martinuzzi +2

Elementary Cellular Automata (ECA) are a well-studied computational universe that is, despite its simple configurations, capable of impressive computational variety. Harvesting thi…