research
∙
08/16/2023
Benchmarking Adversarial Robustness of Compressed Deep Learning Models
The increasing size of Deep Neural Networks (DNNs) poses a pressing need...
share
research
∙
07/10/2023
Automated Detection of Gait Events and Travel Distance Using Waist-worn Accelerometers Across a Typical Range of Walking and Running Speeds
Background: Estimation of temporospatial clinical features of gait (CFs)...
research
∙
01/10/2022
Differentially Private Generative Adversarial Networks with Model Inversion
To protect sensitive data in training a Generative Adversarial Network (...
research
∙
12/10/2021
Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset
Location data is collected from users continuously to acquire user mobil...
research
∙
11/29/2021
A Natural Language Processing and Deep Learning based Model for Automated Vehicle Diagnostics using Free-Text Customer Service Reports
Initial fault detection and diagnostics are imperative measures to impro...
research
∙
09/25/2021
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
The acute respiratory distress syndrome (ARDS) is a severe form of hypox...
research
∙
09/19/2021
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance
Non-invasive estimation of respiratory physiology using computational al...
research
∙
01/04/2021
Minimizing L1 over L2 norms on the gradient
In this paper, we study the L1/L2 minimization on the gradient for imagi...
research
∙
04/29/2019
Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
Clinical decision support systems (CDSS) will play an in-creasing role i...
research
∙
05/25/2017
