Abstract: Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video summarization. Current approaches mainly devote to modeling the video as a frame sequence by ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections—from gene functions and disease mechanisms to ...

Abstract: Brain is the most complex organ of human, which serves as the center of controlling most activities. A novel methodology called complex network is capable of characterizing the functional ...

Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. In this paper, we propose an end-to-end framework ...

gnnad is a package for anomaly detection on multivariate time series data. This model builds on the recently-proposed Graph Deviation Network (GDN) 1, a graph neural network model that uses embeddings ...

The past decade has witnessed a great interest within the neuroscience community in modeling the function and structure of the brain and probing the dynamics between the two. DTI has been widely used ...

It’s become commonplace among observers of U.S. politics to decry partisan polarization in Congress. Indeed, a Pew Research Center analysis finds that, on average, Democrats and Republicans are ...

This repository is for Structure and Position-Aware Graph Neural Network for Airway Labeling, by Weiyi Xie, from Diagnostic Image Analysis Group, Radboud University Medical Center. We present a novel ...

Stuck at home during the coronavirus pandemic, with movie theaters closed and no restaurants to dine in, Americans have been spending more of their lives online. But a New York Times analysis of ...

In these difficult times, we’ve made a number of our coronavirus articles free for all readers. To get all of HBR’s content delivered to your inbox, sign up for the Daily Alert newsletter. Some of the ...