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The LG Fibration
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.
EEG Machine Learning for Analysis of Mild Traumatic Brain Injury: A survey
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.
Machine Learning-based EEG Applications and Markets
Based on our survey, more research on machine learning-based EEG applications will lead to a more robust EEG-related market.
Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification
This new technology for simultaneously identify user and adversary contributes to cybersecurity beyond user-only identification.
A Randomized Algorithm for Preconditioner Selection
The task of choosing a preconditioner $\boldsymbol{M}$ to use when solving a linear system $\boldsymbol{Ax}=\boldsymbol{b}$ with iterative methods is difficult.
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments
We present an approach for simultaneously separating and localizing multiple sound sources using recorded microphone data.
