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Knowledge Graph Reasoning Based on Attention GCN
We propose a novel technique to enhance Knowledge Graph Reasoning by combining Graph Convolution Neural Network (GCN) with the Attention Mechanism.
If it Bleeds, it Leads: A Computational Approach to Covering Crime in Los Angeles
Developing and improving computational approaches to covering news can increase journalistic output and improve the way stories are covered.
Can't Fool Me: Adversarially Robust Transformer for Video Understanding
To address this, several techniques have been proposed to increase robustness of a model for image classification tasks.
Neurological Status Classification Using Convolutional Neural Network
In this study we show that a Convolutional Neural Network (CNN) model is able to accuratelydiscriminate between 4 different phases of neurological status in a non-Electroencephalogram(EEG) dataset recorded in an experiment in which subjects are exposed to physical, cognitiveand emotional stress.
