11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.CL2020
Understanding patient complaint characteristics using contextual clinical BERT embeddings
Budhaditya Saha, Sanal Lisboa, Shameek Ghosh
In clinical conversational applications, extracted entities tend to capture the main subject of a patient's complaint, namely symptoms or diseases. However, they mostly fail to rec…
cs.CV2019★ 11 cited
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais, Vuong Le, Truyen Tran +3
Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors. We propose a new method to model the normal patterns of hum…
cs.CV2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong, Lingqiao Liu, Vuong Le +4
Deep autoencoder has been extensively used for anomaly detection. Training on the normal data, the autoencoder is expected to produce higher reconstruction error for the abnormal i…