The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …

As the range of decisions made by Artificial Intelligence (AI) expands, the need for
Explainable AI (XAI) becomes increasingly critical. The reasoning behind the specific …

The rapid rise of many e-commerce platforms for individual consumers has generated a
large amount of text-based data, and thus researchers have begun to experiment with text …

A metaverse is a three-dimensional virtual space (3D VS) where businesses and individuals
worldwide can engage, interact, communicate, transact, and exchange information in real …

We present a formal approach to build and evaluate AI systems that include principles of
Fairness, Accountability and Transparency (FAT), which are extremely important in various …

Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

Accurate predictions of building energy consumption are essential for reducing the energy
performance gap. While data-driven energy quantification methods based on machine …

Telco players are constantly evaluating their loss in customer revenue or customer churn,
especially on the prevention, control, and risk assessment of churn. In this paper, a domain …

Forest fires significantly disrupt global ecosystems. Many forecasting techniques predict fire
activity and allocate prevention resources, but various factors are missing from the …

Automatic clustering is a challenging problem, especially when the decision-maker has little
or no information about the nature of the dataset and the criteria of interest. There is a lack of …