Islamic Microfinance Institutions (IMFIs) encounter distinct difficulties with credit scoring because they need to follow Shariah principles that combine riba bans with fair financial dealings regulations. Conventional credit scoring models exhibit two shortcomings: a poor capability to...

Money laundering is one of the most relevant global challenges, with significant repercussions on the economy and international security. Identifying suspicious transactions is a key element in the fight against the phenomenon, but the task is extremely complex due to the constant evolution of...

Consumer boycotts are vital tools for shaping corporate and socio-political landscapes. Despite extensive research, the influence of individual and sociocultural factors on boycott participation across diverse European nations remains unclear. This study addresses this gap by applying machine...

Consumer boycotts are vital tools for shaping corporate and socio-political landscapes. Despite extensive research, the influence of individual and sociocultural factors on boycott participation across diverse European nations remains unclear. This study addresses this gap by applying machine...

The application of machine learning in the healthcare domain has groundbreaking potential across a wide range of scenarios. However, this potential is often stalled by data-related challenges, such as the imbalanced nature of the domain's data, where critical outcomes tend to be inherently rare....