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An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies
Notably, we achieved the Top-1 performance in Task 2-1 and Task 2-2 with the highest Score of 74. 5% and 53. 9%, respectively.
Using Machine Learning for Anomaly Detection on a System-on-Chip under Gamma Radiation
A few types of radiation like Total Ionizing Dose (TID) effects often cause permanent damages on such nanoscale electronic devices, and current state-of-the-art technologies to tackle TID make use of expensive radiation-hardened devices.
A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams
Cities have been a thriving place for citizens over the centuries due to their complex infrastructure.
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