Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks

1 code implementation • 2 Jun 2021 • Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang

To develop a better deep model for blood glucose forecasting, we analyze the data and detect important patterns.

Time Series Time Series Analysis

Global Adversarial Attacks for Assessing Deep Learning Robustness

no code implementations • 19 Jun 2019 • Hanbin Hu, Mit Shah, Jianhua Z. Huang, Peng Li

It has been shown that deep neural networks (DNNs) may be vulnerable to adversarial attacks, raising the concern on their robustness particularly for safety-critical applications.

Safe Active Feature Selection for Sparse Learning

no code implementations • 15 Jun 2018 • Shaogang Ren, Jianhua Z. Huang, Shuai Huang, Xiaoning Qian

More critically, SAIF has the safe guarantee as it has the convergence guarantee to the optimal solution to the original full LASSO problem.

feature selection Sparse Learning

Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization

no code implementations • Elsevier Ltd 2014 • Jim Jing-Yan Wang, Jianhua Z. Huang, Yijun Sun, Xin Gao

To solve these bottlenecks, we propose two novel graph-regularized NMF methods, AGNMFFS and AGNMFMK, by introducing feature selection and multiple-kernel learning to the graph regularized NMF, respectively.

feature selection