moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

Their study – “ Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach ” – was published by the Journal of Management Information Systems and focuses on ...

The study focuses on developing a system for the detection of depression in speech. Depression is a common mental health disorder that affects millions of individuals worldwide, and early detection is ...

Any time-series dataset that needs anomaly detection can utilize EMOD. “I’m most eager to see EMOD applied to monitoring complex real-world systems—especially those where anomalies can have critical ...

In the project titled, "Automated acoustic voice screening techniques for comorbid depression and anxiety disorders," Mary Pietrowicz, along with colleagues from the University of Illinois Urbana ...

A baseline data set with 14 depression categories consisting of 86,163 tweets was used as input to various machine learning algorithms together with Twitter user behaviors, linguistic features, and ...

Discussion: Our multi-task ensemble learning method with MFCC-based Resnet x-vectors can fuse the depression related information of different stimuli effectively, which provides a new approach for ...