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Found 6 papers, 1 papers with code
Ethically aligned Deep Learning: Unbiased Facial Aesthetic Prediction
Facial beauty prediction (FBP) aims to develop a machine that automatically makes facial attractiveness assessment.
AestheticNet: Reducing bias in facial data sets under ethical considerations
Our experiments prove that human aesthetic judgements are usually biased.
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
Millions of unsolicited medical inquiries are received by pharmaceutical companies every year.
Metapath- and Entity-aware Graph Neural Network for Recommendation
In this paper, we employ collaborative subgraphs (CSGs) and metapaths to form metapath-aware subgraphs, which explicitly capture sequential semantics in graph structures.
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Encoder-decoder semantic segmentation models for electroluminescence images of thin-film photovoltaic modules
We consider a series of image segmentation methods based on the deep neural networks in order to perform semantic segmentation of electroluminescence (EL) images of thin-film modules.
Methodology to analyze the accuracy of 3D objects reconstructed with collaborative robot based monocular LSD-SLAM
SLAM systems are mainly applied for robot navigation while research on feasibility for motion planning with SLAM for tasks like bin-picking, is scarce.
