Transformer-based language models have achieved impressive success in various natural
language processing tasks due to their ability to capture complex dependencies and …

Domain-specific language understanding requires integrating multiple pieces of relevant
contextual information. For example, we see both suicide and depression-related behavior …

Large Language Models (LLMs) encode meanings of words in the form of distributed
semantics. Distributed semantics capture common statistical patterns among language …

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing
after realizing the importance of early interventions for patients with chronic mental health …

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing
after realizing the importance of early interventions for patients with chronic mental health …

Abstract Although Artificial Intelligence technology has proven effective in providing
healthcare assistance by analyzing health data, it still falls short in supporting decision …

Abstract Although Artificial Intelligence technology has proven effective in providing
healthcare assistance by analyzing health data, it still falls short in supporting decision …

Neural networks have emerged as a powerful and versatile class of machine learning
models, revolutionizing various fields with their ability to learn complex patterns and make …

Virtual health agents (VHAs) have received considerable attention, but the early focus has
been on collecting data, helping patients follow generic health guidelines, and providing …

Improving the performance and explanations of ML algorithms is a priority for adoption by
humans in the real world. In critical domains such as healthcare, such technology has …