Jul 4, 2018 · This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks.
This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks.
The idea of this paper is to use the Choquet integral to reduce the size of an image, obtaining an abstract form of representation, that is, reducing the ...
This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks. The Choquet integral ...
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This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks. The Choquet integral ...
Bibliographic details on Using the Choquet Integral in the Pooling Layer in Deep Learning Networks.
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Jul 25, 2022 · Tehrani, Cheng, and Hullermeier (2012) use the Choquet integral in a pairwise preference learning scenario. Dias et al. (2018) replace pooling ...
In this study, we propose a Deep Learning based XAI model for aiding clinical interpretation on Chest X-ray (CXR) images. The XAI diagnostic model can be ...
This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks. The Choquet integral ...