Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Large language models (LLMs) have shown remarkable performance across various natural
language processing (NLP) tasks, indicating their significant potential as data annotators …

The advancement of high‐throughput genomic assays has led to enormous growth in the
availability of large‐scale biological datasets. Over the last two decades, these increasingly …

This study addresses the critical challenge of spam detection in the realm of cybersecurity,
motivated by the escalating sophistication of spamming techniques and their significant …

Large language models (LLMs) are proficient at generating fluent text with minimal task-
specific supervision. Yet, their ability to provide well-grounded rationalizations for …

Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately
focused on technological advancements, often overlooking the alignment between …

Spam reviews are a pervasive problem on online platforms due to its significant impact on
reputation. However, research into spam detection in data streams is scarce. Another …

Technological advances relating to artificial intelligence (AI) and explainable AI (xAI)
techniques are at a stage of development that requires better understanding of operational …

Workers spend a significant amount of time learning how to make good decisions.
Evaluating the efficacy of a given decision, however, can be complicated--eg, decision …

Background Chronic obstructive pulmonary disease (COPD) is a major cause of death and
places a heavy burden on health care. To optimize the allocation of precious preventive care …