25 citations · 71 across the 16 of their papers we have counts for
5 papers · 1 filter
Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
Ammar Haydari, Chen-Nee Chuah, Michael Zhang +2
Location data is collected from users continuously to understand their mobility patterns. Releasing the user trajectories may compromise user privacy. Therefore, the general practi…
A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports
Ali Khodadadi, Soroush Ghandiparsi, Chen-Nee Chuah
Initial fault detection and diagnostics are imperative measures to improve the efficiency, safety, and stability of vehicle operation. In recent years, numerous studies have invest…
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
Gregory B. Rehm, Chao Wang, Irene Cortes-Puch +2
The acute respiratory distress syndrome (ARDS) is a severe form of hypoxemic respiratory failure with in-hospital mortality of 35-46%. High mortality is thought to be related in pa…
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance
Gregory Rehm, Jimmy Nguyen, Chelsea Gilbeau +3
Non-invasive estimation of respiratory physiology using computational algorithms promises to be a valuable technique for future clinicians to detect detrimental changes in patient…
Minimizing L1 over L2 norms on the gradient
Chao Wang, Min Tao, Chen-Nee Chuah +2
In this paper, we study the L1/L2 minimization on the gradient for imaging applications. Several recent works have demonstrated that L1/L2 is better than the L1 norm when approxima…