Search Results for author:
Found 5 papers, 1 papers with code
TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit
As an inspiration from nature, the avian visual system is capable of processing motion information in various complex aerial scenes, and its Retina-OT-Rt visual circuit is highly sensitive to capturing the motion information of small objects from high altitudes.
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
This paper demonstrates the importance of XAI methods in cross-validation of feature attributions.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+2
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition
We developed a hydatidiform mole hydrops lesion segmentation model based on a novel loss function and training method.
A Semantic Segmentation Network Based Real-Time Computer-Aided Diagnosis System for Hydatidiform Mole Hydrops Lesion Recognition in Microscopic View
We constructed a deep-learning-based CAD system to identify HM hydrops lesions in the microscopic view in real-time.
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims
We conducted a lab-based eye-tracking study to investigate how the interactivity of an AI-powered fact-checking system affects user interactions, such as dwell time, attention, and mental resources involved in using the system.
