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Engineering mechanoreceptor feature selectivity

Neuron, 2023
Touch and proprioception rely on the discriminative abilities of distinct classes of mechanosensory neurons. In this issue of Neuron, two studies1,2 provide evidence that biomechanical mechanisms and ultrastructural cellular specializations are key contributors in defining mechanoreceptor stimulus threshold and selectivity.
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Reverse engineering feature models

Proceedings of the 33rd International Conference on Software Engineering, 2011
Feature models describe the common and variable characteristics of a product line. Their advantages are well recognized in product line methods. Unfortunately, creating a feature model for an existing project is time-consuming and requires substantial effort from a modeler. We present procedures for reverse engineering feature models based on a crucial
Steven She   +4 more
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Feature Engineering

2022
S. Sumathi   +3 more
  +4 more sources

Feature Engineering.

1998
The notion of feature is widely used to denote the functional structure and visible properties of a software system. More specifically, features are meant to represent a user-centric organization of a software system's functionality. Yet, other than during requirements analysis, features are seldom treated explicitly by most existing tools and methods ...
Turner C. R.   +3 more
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Feature Engineering

2023
Wang He, Peng Liu, Qian Qian
openaire   +2 more sources

Feature Engineering

2020
Sorin Soviany, Cristina Soviany
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A neuralized feature engineering method for entity relation extraction

Neural Networks, 2021
, Yongbin Qin, Qinghua Zheng
exaly  

Lexicography as Feature Engineering

2017
Many different techniques can group synonymous words together, but it is much harder to untangle the nuance and emphasis borne by individual members of a synonym set. The distributional hypothesis holds that you may understand a word by the contexts in which it appears.
openaire   +1 more source

Feature Engineering for Profiling

2019
Humans are able to perceive many profile parameters from voice. Such perceptual relationships between voice and parameters show that there is information relevant to profiling in the voice signal, but may not tell us what that information is. If a study finds perceptual relations between some parameter and specific features derived from voice, then ...
openaire   +1 more source

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