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Found 3 papers, 1 papers with code
EVNet: An Explainable Deep Network for Dimension Reduction
The proposed techniques are integrated with a visual interface to help the user to adjust EVNet to achieve better DR performance and explainability.
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection
We propose that the ideal DR approach combines both FS and FP into a unified end-to-end manifold learning framework, simultaneously performing fundamental feature discovery while maintaining the intrinsic relationships between data samples in the latent space.
Machine Learning for Predictive Deployment of UAVs with Multiple Access
In this paper, a machine learning based deployment framework of unmanned aerial vehicles (UAVs) is studied.
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