2 citations · 5 across the 4 of their papers we have counts for
4 papers
CNN-based search model underestimates attention guidance by simple visual features
Endel Poder
Recently, Zhang et al. (2018) proposed an interesting model of attention guidance that uses visual features learnt by convolutional neural networks for object recognition. I adapte…
On the rules of science game
Endel Poder
Credit allocation in the mainstream bibliometrics is fundamentally flawed and the popular indicators have been misleading science for decades. Originally a simple technical mistake…
Capacity limitations of visual search in deep convolutional neural networks
Endel Poder
Deep convolutional neural networks follow roughly the architecture of biological visual systems and have shown a performance comparable to human observers in object recognition tas…
A framework for the measurement and prediction of an individual scientist's performance
Endel Poder
Quantitative bibliometric indicators are widely used to evaluate the performance of scientists. However, traditional indicators do not much rely on the analysis of the processes in…