Relation extraction methods are currently dominated by deep neural models, which capture
complex statistical patterns while being brittle and vulnerable to perturbations in data and …

The compositional data are interrelated, and analyzing the evolution of each component is
crucial for understanding population dynamics. However, the complex structure and tedious …

The integration of responsible artificial intelligence (RAI) principles with emerging
neurosymbolic AI (NSAI) systems is crucial for the development of fair, explainable, and …

Existing research on federated learning (FL) usually assumes that training labels are of high
quality for each client, which is impractical in many real-world scenarios (eg, noisy labels by …

Abstract Background: The field of Artificial Intelligence has undergone cyclical periods of
growth and decline, known as AI summers and winters. Currently, we are in the third AI …