2 citations · 5 across the 5 of their papers we have counts for
6 papers
Link Prediction for Temporally Consistent Networks
Mohamoud Ali, Yugyung Lee, Praveen Rao
Dynamic networks have intrinsic structural, computational, and multidisciplinary advantages. Link prediction estimates the next relationship in dynamic networks. However, in the cu…
SCAT: Second Chance Autoencoder for Textual Data
Somaieh Goudarzvand, Gharib Gharibi, Yugyung Lee
We present a k-competitive learning approach for textual autoencoders named Second Chance Autoencoder (SCAT). SCAT selects the largest and smallest positive activations as the…
CRL: Class Representative Learning for Image Classification
Mayanka Chandrashekar, Yugyung Lee
Building robust and real-time classifiers with diverse datasets are one of the most significant challenges to deep learning researchers. It is because there is a considerable gap b…
Automated Human Claustrum Segmentation using Deep Learning Technologies
Ahmed Awad Albishri, Syed Jawad Hussain Shah, Anthony Schmiedler +2
In recent years, Deep Learning (DL) has shown promising results in conducting AI tasks such as computer vision and image segmentation. Specifically, Convolutional Neural Network (C…
MedTQ: Dynamic Topic Discovery and Query Generation for Medical Ontologies
Feichen Shen, Yugyung Lee
Biomedical ontology refers to a shared conceptualization for a biomedical domain of interest that has vastly improved data management and data sharing through the open data movemen…
STC: Semantic Taxonomical Clustering for Service Category Learning
Sourish Dasgupta, Satish Bhat, Yugyung Lee
Service discovery is one of the key problems that has been widely researched in the area of Service Oriented Architecture (SOA) based systems. Service category learning is a techni…