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Found 5 papers, 1 papers with code
Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials
This represents a significant step in developing more versatile and efficient speaker verification systems for cognitive and mental health clinical trials that can be used across a wide range of languages and dialects, substantially reducing the effort required to develop speaker verification systems for multiple languages.
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials
Detecting duplicate patient participation in clinical trials is a major challenge because repeated patients can undermine the credibility and accuracy of the trial's findings and result in significant health and financial risks.
Multi-modal deep learning system for depression and anxiety detection
We find that augmenting hand-crafted features with deep-learned features improves our overall classification F1 score comparing to a baseline of hand-crafted features alone from 0. 58 to 0. 63 for depression and from 0. 54 to 0. 57 for anxiety.
Stay on Topic, Please: Aligning User Comments to the Content of a News Article
We proposed a BERTAC, BAERT-based approach that learn jointly article-comment embeddings and infers the relevance class of comments.
Extracting Entities and Topics from News and Connecting Criminal Records
The goal of this paper is to summarize methodologies used in extracting entities and topics from a database of criminal records and from a database of newspapers.
