Wildlife camera trap images are being used extensively to investigate an...
Federated learning has been widely applied in autonomous driving since i...
Cross-silo federated learning utilizes a few hundred reliable data silos...
Convolutional Neural Networks (CNNs) have been successful in solving tas...
The Shapley value has become popular in the Explainable AI (XAI) literat...
Deep learning has attracted broad interest in healthcare and medical
com...
Groundwater depletion impacts the sustainability of numerous
groundwater...
We state theoretical properties for k-means clustering of Symmetric
Posi...
Shapley values have become increasingly popular in the machine learning
...
Maps of brain microarchitecture are important for understanding neurolog...
Multiple linear regression is a commonly used inferential and predictive...
In recent years, studies on automatic speech recognition (ASR) have show...
The need to help people choose among large numbers of items and to filte...