1 citations · 2 across the 5 of their papers we have counts for
5 papers
The LG Fibration
Daniel Livschitz, Weiqing Gu
Deep Learning has significantly impacted the application of data-to-decision throughout research and industry, however, they lack a rigorous mathematical foundation, which creates…
EEG Machine Learning for Analysis of Mild Traumatic Brain Injury: A survey
Weiqing Gu, Ryan Chang, Bohan Yang
Mild Traumatic Brain Injury (mTBI) is a common brain injury and affects a diverse group of people: soldiers, constructors, athletes, drivers, children, elders, and nearly everyone.…
Machine Learning-based EEG Applications and Markets
Weiqing Gu, Bohan Yang, Ryan Chang
This paper addresses both the various EEG applications and the current EEG market ecosystem propelled by machine learning. Increasingly available open medical and health datasets u…
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification
Yujia Ding, Weiqing Gu
In this paper, we introduce a new gait segmentation method based on accelerometer data and develop a new distance function between two time series, showing novel and effectiveness…
A Randomized Algorithm for Preconditioner Selection
Conner DiPaolo, Weiqing Gu
The task of choosing a preconditioner to use when solving a linear system with iterative methods is difficult. For instance, even…