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20172026
most citedGMM-Based Synthetic Samples for Classification of Hyperspectral Images With Limited Training Data

39 citations · 87 across the 16 of their papers we have counts for

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cs.AI2024

Adapting the Biological SSVEP Response to Artificial Neural Networks

Emirhan Böge, Yasemin Gunindi, Erchan Aptoula +2

Neuron importance assessment is crucial for understanding the inner workings of artificial neural networks (ANNs) and improving their interpretability and efficiency. This paper in…