(eg. an image, if the network is trained for image classification). The input is multi-dimensional, made of several features. In the case of images, each pixel can be considered a feature. The goal of an attribution method is to determine a real valueR(x_i)for each input feature, ...
The goal of an attribution method is to determine a real value R(x_i) for each input feature, with respect to a target neuron of interest (for example, the activation of the neuron corresponsing to the correct class). When the attributions of all input features are arranged together to ...
A detailed description of the structural analysis, which is a key feature of lightworks, is given in the following Sect. 3. 3 Structural analysis methods The core of the lightworks optimization process is the structural analysis with an internal panel-based meta-model, where a closer look on ...
The special feature of this new example is that it is subjected to three equality constraints which are equal to the number of the design variables. Therefore, the constraint set can be directly employed to solve for three design variables. To this end, a root-finding function, fsolve, in ...
In this study, we employed the eXtreme Gradient Boosting tree ensemble for revealing TEX transfer from ambient air to rainwater, and applied a novel SHapley Additive exPlanations feature attribution framework to examine the relevance of the monitored parameters and identify key factors that govern wet ...
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dynamic behavior data and improved the accuracy of the keystroke behavioral recognition system. To build the training data set for the neural network model, we acquired 1800 times keystroke samples of three users and their dynamic behavioral features, mainly including three feature parameters of holding...
Motivated by the hierarchical micro and nanoscale features in terms of porosity of diatomite, the production of ceramic-graded porous foams with tailored porosity, obtained by using it as raw material, has been proposed. The main challenge during the foam-production process has been the preservation...
Then, a “from the inside out” expansion process was guided by a novel gradient feature to obtain accurate crown delineation results across different forest conditions. Results show that our method produced much better performance (~75% matched on average) than other commonly used methods across ...
This paper is motivated by this feature of the GB method to try to find a subpixel algorithm that can inherit the high efficiency of the GB method while having the characteristics of high precision. Furthermore, the accuracy of the GB method is greatly affected by the gray gradient, and ...