As decision‐making increasingly relies on machine learning (ML) and (big) data, the issue
of fairness in data‐driven artificial intelligence systems is receiving increasing attention from …

Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …

Accurate diagnostic classification of cancers can greatly help physicians to choose
surveillance and treatment strategies for patients. Following the explosive growth of huge …

Android malware detection has attracted much attention in recent years. Existing methods
mainly research on extracting static or dynamic features from mobile apps and build mobile …

There has been concern within the artificial intelligence (AI) community and the broader
society regarding the potential lack of fairness of AI-based decision-making systems …

Fairness in machine learning (ML) has gained attention within the ML community and the
broader society beyond with many fairness definitions and algorithms being proposed …

Understanding and correcting algorithmic bias in artificial intelligence (AI) has become
increasingly important, leading to a surge in research on AI fairness within both the AI …

The integration of Artificial Intelligence (AI) into education has transformative potential,
providing tailored learning experiences and creative instructional approaches. However, the …

A self-organizing map (SOM) is a type of competitive artificial neural network, which projects
the high-dimensional input space of the training samples into a low-dimensional space with …