3 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
cs.AI2023★ 1 cited
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities
Gulsen Taskin, Erchan Aptoula, Alp Ertürk
Deep learning has taken by storm all fields involved in data analysis, including remote sensing for Earth observation. However, despite significant advances in terms of performance…
cs.LG2023★ 3 cited
ADRMX: Additive Disentanglement of Domain Features with Remix Loss
Berker Demirel, Erchan Aptoula, Huseyin Ozkan
The common assumption that train and test sets follow similar distributions is often violated in deployment settings. Given multiple source domains, domain generalization aims to c…