activity
20172021
most citedBio-JOIE: Joint Representation Learning of Biological Knowledge Bases

15 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL20218 cited

Clinical Named Entity Recognition using Contextualized Token Representations

Yichao Zhou, Chelsea Ju, J. Harry Caufield +6

The clinical named entity recognition (CNER) task seeks to locate and classify clinical terminologies into predefined categories, such as diagnostic procedure, disease disorder, se…

cs.LG20211 cited

Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition

Ruirui Li, Chelsea J. -T. Ju, Zeya Chen +3

By implicitly recognizing a user based on his/her speech input, speaker identification enables many downstream applications, such as personalized system behavior and expedited shop…

q-bio.MN202115 cited

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases

Junheng Hao, Chelsea Ju, Muhao Chen +3

The widespread of Coronavirus has led to a worldwide pandemic with a high mortality rate. Currently, the knowledge accumulated from different studies about this virus is very limit…

cs.SD2020

Non-local convolutional neural networks (nlcnn) for speaker recognition

Haici Yang, Hongda Mao, Ruirui Li +2

Speaker recognition is the process of identifying a speaker based on the voice. The technology has attracted more attention with the recent increase in popularity of smart voice as…

cs.DL20173 cited

Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable

Wei Wang, Brian Bleakley, Chelsea Ju +9

Precision medicine and health requires the characterization and phenotyping of biological systems and patient datasets using a variety of data formats. This scenario mandates the c…