no code implementations • 5 Dec 2022 • 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 situations where algorithmic results fail to be practically invertible.
no code implementations • 10 Aug 2022 • Weiqing Gu, Ryan Chang, Bohan Yang
We reviewed, summarized, and compared the fourteen most cutting-edge machine learning research papers for predicting and classifying mTBI in terms of 1) EEG data types, 2) data preprocessing methods, 3) machine learning feature representations, 4) feature extraction methods, and 5) machine learning classifiers and predictions.
no code implementations • 10 Aug 2022 • Weiqing Gu, Bohan Yang, Ryan Chang
Based on our survey, more research on machine learning-based EEG applications will lead to a more robust EEG-related market.
no code implementations • 11 Oct 2019 • Yujia Ding, Weiqing Gu
This new technology for simultaneously identify user and adversary contributes to cybersecurity beyond user-only identification.
no code implementations • 1 Aug 2019 • Conner DiPaolo, Weiqing Gu
The task of choosing a preconditioner $\boldsymbol{M}$ to use when solving a linear system $\boldsymbol{Ax}=\boldsymbol{b}$ with iterative methods is difficult.
no code implementations • NeurIPS 2018 • Daniel Johnson, Daniel Gorelik, Ross E. Mawhorter, Kyle Suver, Weiqing Gu, Steven Xing, Cody Gabriel, Peter Sankhagowit
We present an approach for simultaneously separating and localizing multiple sound sources using recorded microphone data.