This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …

Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …

In shaping the Internet of Money, the application of blockchain and distributed ledger
technologies (DLTs) to the financial sector triggered regulatory concerns. Notably, while the …

Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …

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 …

Counterfactual explanations are viewed as an effective way to explain machine learning
predictions. This interest is reflected by a relatively young literature with already dozens of …

Continuous monitoring and observing of the earth's environment has become interactive
research in the field of remote sensing. Many researchers have provided the Land Use/Land …

Abstract Utilizing Artificial Intelligence (AI) techniques to forecast, recognize, and classify
financial crisis roots are important research challenges that have attracted the interest of …