Weakly supervised learning generally faces challenges in applicability to various scenarios
with diverse weak supervision and in scalability due to the complexity of existing algorithms …

In partial label learning, each training sample corresponds to a set of candidate labels. The
ground-truth label, hidden within this set, cannot be directly obtained during the training …

The last decade has witnessed an explosion of interest in Artificial Intelligence, not only
among researchers, but also in the public eye. This has led to machine learning (ML) …

Sounds are essential to our physical environment and play a critical role in allowing us to
interact with it effectively. Throughout our lives, we develop the ability to interpret and …

Novelty detection is crucial in various technological and scientific domains. Its importance
spans from ensuring the reliability of sensor networks to enhancing the adaptability of …