Graph Neural Networks (GNNs) have achieved impressive performance in
col...
The past decade has witnessed a plethora of works that leverage the powe...
With the widespread use of deep neural networks(DNNs) in intelligent sys...
Adversarial attacks on a convolutional neural network (CNN) – injecting
...
We present a novel de-homogenization approach for efficient design of
hi...
Sparsity is an intrinsic property of neural network(NN). Many software
r...
Public opinion surveys constitute a powerful tool to study peoples' atti...
The matrix profile is an effective data mining tool that provides simila...
We present the 3D Trajectory-based Stress Visualizer (3D-TSV), a visual
...
Predicting metrics associated with entities' transnational behavior with...
The optimization of porous infill structures via local volume constraint...
Word vector embeddings have been shown to contain and amplify biases in ...
Digital payment volume has proliferated in recent years with the rapid g...
The visual inspection of a hexahedral mesh with respect to element quali...
Convolutional neural networks (CNNs) have demonstrated extraordinarily g...
We propose InSituNet, a deep learning based surrogate model to support
p...