Conventional machine learning studies generally assume close-environment scenarios
where important factors of the learning process hold invariant. With the great success of …

Research in the field of Intrusion Detection is focused on develo** an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the network …

Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

Abstract Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of
machine learning systems. For instance, in autonomous driving, we would like the driving …

Abstract Most applications of Artificial Intelligence (AI) are designed for a confined and
specific task. However, there are many scenarios that call for a more general AI, capable of …

We are currently in a post-pandemic era in which life has shifted to a digital world. This has
affected many aspects of life, including education and learning. Education 5.0 refers to the …

The joint clustering of multimodal remote sensing (RS) data poses a critical and challenging
task in Earth observation. Although recent advances in multiview subspace clustering have …

Implementing effective control mechanisms to ensure the proper functioning and security of
deployed NLP models, from translation to chatbots, is essential. A key ingredient to ensure …

Multi-agent Reinforcement Learning (MARL) has gained wide attention in recent years and
has made progress in various fields. Specifically, cooperative MARL focuses on training a …

Continual learning (CL), or the ability to acquire, process, and learn from new information
without forgetting acquired knowledge, is a fundamental quality of an intelligent agent. The …