73 citations · 74 across the 4 of their papers we have counts for
5 papers
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
Hung Q. Vo, Samira Zare, Son T. Ly +6
Achieving health equity in Artificial Intelligence (AI) requires diagnostic models that maintain reliability across diverse populations. However, breast cancer screening systems fr…
Anomaly Detection in Satellite Videos using Diffusion Models
Akash Awasthi, Son Ly, Jaer Nizam +7
The definition of anomaly detection is the identification of an unexpected event. Real-time detection of extreme events such as wildfires, cyclones, or floods using satellite data…
PICASO: Permutation-Invariant Cascaded Attentional Set Operator
Samira Zare, Hien Van Nguyen
Set-input deep networks have recently drawn much interest in computer vision and machine learning. This is in part due to the increasing number of important tasks such as meta-lear…
Quarantine Deceiving Yelp's Users by Detecting Unreliable Rating Reviews
Viet Trinh, Vikrant More, Samira Zare +1
Online reviews have become a valuable and significant resource, for not only consumers but companies, in decision making. In the absence of a trusted system, highly popular and tru…
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks
Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare +6
Radiographic images offer an alternative method for the rapid screening and monitoring of Coronavirus Disease 2019 (COVID-19) patients. This approach is limited by the shortage of…