Machine learning algorithms can sometimes exacerbate health disparities ...
Medication errors most commonly occur at the ordering or prescribing sta...
During the transition from high school to on-campus college life, a stud...
With the rapidly growing number of security-sensitive systems that use v...
As an emerging technology with exceptional low energy consumption and
lo...
Recent efforts have shown promising results for person re-identification...
Precision medicine has received attention both in and outside the clinic...
The Internet of Things (IoT) is increasingly empowering people with an
i...
Depression and anxiety are critical public health issues affecting milli...
In recent years, many efforts have demonstrated that modern machine lear...
This paper introduces a new database of voice recordings with the goal o...
The Internet of Things (IoT) is increasingly empowering people with an
i...
Over the last few years, a rapidly increasing number of Internet-of-Thin...
Learning disentangled representations of high-dimensional data is curren...
Major depressive disorder is a common mental disorder that affects almos...
Over the last few years, a rapidly increasing number of Internet-of-Thin...
Computational paralinguistic analysis is increasingly being used in a wi...