Current work on using visual analytics to determine causal relations amo...
Medical Image Segmentation is a useful application for medical image ana...
Social vulnerability is the susceptibility of a community to be adversel...
Creating compelling captions for data visualizations has been a longstan...
Despite recent advances in semantic manipulation using StyleGAN, semanti...
Deep learning has shown great promise for CT image reconstruction, in
pa...
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose comput...
The widespread adoption of algorithmic decision-making systems has broug...
We propose a new active learning (AL) framework, Active Learning++, whic...
Social biases based on gender, race, etc. have been shown to pollute mac...
Active Learning (AL) is a human-in-the-loop Machine Learning paradigm fa...
Generative adversarial networks (GANs) are well known for their unsuperv...
The increasing popularity of smart meters provides energy consumers in
h...
We test the hypothesis whether transforming a data matrix into a 3D shad...
Automatic speech recognition (ASR) systems play a key role in many comme...
We present an algorithmic and visual grouping of participants and
eye-tr...
Analysis of road accidents is crucial to understand the factors involved...
Yarbus' claim to decode the observer's task from eye movements has recei...
There are many applications where users seek to explore the impact of th...
In computed tomography (CT), metal implants increase the inconsistencies...
Despite the tremendous achievements of deep convolutional neural
network...
Neural network based models are a very powerful tool for creating word
e...
Embedding high-dimensional data into a 2D canvas is a popular strategy f...
A wide variety of color schemes have been devised for mapping scalar dat...