Single-cell RNA sequencing (scRNA-seq) has been instrumental in recent years in understanding the dynamics of gene expression at the cellular level. It has significantly [...]

In recent years, machine learning systems, particularly deep learning architectures, transformer models, and large language models (LLMs), have achieved remarkable succes[...]

In response to the growing complexity of cyber security threats, threat hunting has become an essential proactive security measure. However, its adoption in security oper[...]

Serendipity is a concept associated with accidental and unexpected discoveries that are valuable. In the recent decade, many researchers have advocated serendipity, as pa[...]

Uncertainty is a concept tied to what models do not know and how confident they are about their outputs. In the last decade, many researchers have promoted uncertainty as[...]

Data science has become increasingly popular as a methodological approach for advancing theory and practice. However, significant concerns exist as to how bias can manife[...]

Human Action Recognition (HAR) plays a critical role in a wide range of applications, including intelligent surveillance, human-computer interaction, healthcare monitorin[...]

Skeleton-based motion data is central to human-computer interaction in virtual, augmented, and mixed reality, with applications spanning clinical decision support, social[...]

Social media has emerged as a common platform for knowledge sharing and exchange in online communities. However, it has also become a hotbed for the diffusion of irregula[...]

As cyber threats continue to grow in both volume and sophistication, automated and effective threat hunting has become essential for proactively detecting and responding [...]