In recent times, visual analytics systems (VAS) have been used to solve various complex
issues in diverse application domains. Nonetheless, an inherent drawback arises from the …

Transformer-based language models such as BERT and its variants have found widespread
use in natural language processing (NLP). A common way of using these models is to fine …

Abstract The field of Deep Visual Analytics (DVA) has recently arisen from the idea of
developing Visual Interactive Systems supported by deep learning, in order to provide them …

The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in
Bangladesh. This study investigates the impact of demographic variables on the spread of …

Claims analysis and risk management is key to avoiding fraud and managing risk in the life
insurance industry. Though visualization plays a fundamental role in supporting analysis …

Suicide is a critical global issue that demands a comprehensive examination of factors such
as mental illness, substance abuse, financial stress, and trauma. Effectively identifying …

Background Diabetes is a long-term disease characterized by high blood sugar and has
risen as a public health problem globally. Exploring and analyzing diabetes data is a timely …

Nowadays, deep learning (DL) models have been an emerging technology because of their
performances and wide acceptance in various fields. However, in most cases, the …

Lying poses a significant concern in our everyday lives, impacting social interactions. The
skill of detecting lies or deceitful statements is of immense value, mainly due to the elusive …

Managing and communicating risk has become a crucial task in today's economy and
society, where data visualization can play a vital role. Existing researchers have applied …