7 citations · 15 across the 6 of their papers we have counts for
6 papers
Machine Learning and AI Applied to fNIRS Data Reveals Novel Brain Activity Biomarkers in Stable Subclinical Multiple Sclerosis
Sadman Saumik Islam, Bruna Dalcin Baldasso, Davide Cattaneo +2
People with Multiple Sclerosis (MS) complain of problems with hand dexterity and cognitive fatigue. However, in many cases, impairments are subtle and difficult to detect. Function…
Synthetic Demographic Data Generation for Card Fraud Detection Using GANs
Shuo Wang, Terrence Tricco, Xianta Jiang +2
Using machine learning models to generate synthetic data has become common in many fields. Technology to generate synthetic transactions that can be used to detect fraud is also gr…
A Novel Tensor Factorization-Based Method with Robustness to Inaccurate Rank Estimation
Jingjing Zheng, Wenzhe Wang, Xiaoqin Zhang +1
This study aims to solve the over-reliance on the rank estimation strategy in the standard tensor factorization-based tensor recovery and the problem of a large computational cost…
GRIG: Few-Shot Generative Residual Image Inpainting
Wanglong Lu, Xianta Jiang, Xiaogang Jin +5
Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents. Recent methods have shown significant improvement in dealing…
DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning
Xiaoqin Zhang, Ziwei Huang, Jingjing Zheng +2
The task of grasp pattern recognition aims to derive the applicable grasp types of an object according to the visual information. Current state-of-the-art methods ignore category i…
Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
Wanglong Lu, Hanli Zhao, Xianta Jiang +5
We present EXE-GAN, a novel exemplar-guided facial inpainting framework using generative adversarial networks. Our approach can not only preserve the quality of the input facial im…