Sentence examples for sensitivity to features from inspiring English sources

Assessment sensitivity, by contrast, is semantic sensitivity to features of the context in which a use of the expression is being assessed (in my lingo, a context of assessment).

These data offer a distinction between regions whose activations scale with perceptual sensitivity to features of time (pre-SMA) and those that more generally support behaving in difficult listening conditions (IFG/insula).

The decrease in performance for LDA and Decision Trees might be due to sensitivity to features that do not provide substantial contribution to the classification.

The P3 amplitude in the present study showed differential sensitivity to feature saliency and provided information complementary to the SN.

Felsen, G., Touryan, J., Han, F. & Dan, Y. Cortical sensitivity to visual features in natural scenes.

Small crack growth resistance had a marked sensitivity to microstructural features, such as α/α grain boundaries with high misorientation and α/α + β boundaries.

In recent years, neuroelectric and neuromagnetic investigations provided evidence for the brain's early sensitivity to distinctive features and their acoustic consequences, particularly for place of articulation distinctions.

The difference in the performance of multi- and single-stream highway networks is further analyzed on the basis of the networks' activation and sensitivity to input features.

We used a low accelerating voltage (2 kV) to have the highest sensitivity to surface features.

It turns out that this condition does not quite suffice to weed out all sensitivity to particular features of objects, for it allows that a permutation-invariant constant might behave differently on domains containing different kinds of objects.

The parameter ρ is more informative for detection of small changes of signals with high sensitivity to morphology features of the nanostructures due to an simultaneous measuring of R s 2 and R p 2 coefficients under interaction between the radiation and sample.