Applications of explainable artificial intelligence in finance—a systematic review of finance, information systems, and computer science literature
Digitalization and technologization affect numerous domains, promising advantages but
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …
also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance …
Machine learning-driven credit risk: a systemic review
Credit risk assessment is at the core of modern economies. Traditionally, it is measured by
statistical methods and manual auditing. Recent advances in financial artificial intelligence …
statistical methods and manual auditing. Recent advances in financial artificial intelligence …
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods
Credit risk assessment is a crucial element in credit risk management. With the extensive
research on consumer credit risk assessment in recent decades, the abundance of literature …
research on consumer credit risk assessment in recent decades, the abundance of literature …
Deep learning vs. gradient boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring
M Schmitt - arXiv preprint arXiv:2205.10535, 2022 - arxiv.org
Artificial intelligence (AI) and machine learning (ML) have become vital to remain
competitive for financial services companies around the globe. The two models currently …
competitive for financial services companies around the globe. The two models currently …
Financial risk management on a neutral atom quantum processor
Machine learning models capable of handling the large data sets collected in the financial
world can often become black boxes expensive to run. The quantum computing paradigm …
world can often become black boxes expensive to run. The quantum computing paradigm …
Explainable artificial intelligence: An updated perspective
Artificial intelligence has become mainstream and its applications will only proliferate.
Specific measures must be done to integrate such systems into society for the general …
Specific measures must be done to integrate such systems into society for the general …
Emerging trends in deep learning for credit scoring: A review
Y Hayashi - Electronics, 2022 - mdpi.com
This systematic review aims to provide deep insights on emerging trends in, and the
potential of, advanced deep learning techniques, such as machine learning algorithms …
potential of, advanced deep learning techniques, such as machine learning algorithms …
A recent review on optimisation methods applied to credit scoring models
A recent review on optimisation methods applied to credit scoring models | Emerald Insight
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …
Books and journals Case studies Expert Briefings Open Access Publish with us Advanced …
Machine learning in accounting research
We present a compact overview of machine learning applications in financial accounting
and audit research as well as management accounting research. Here, the application of …
and audit research as well as management accounting research. Here, the application of …
Visualizations for universal deep-feature representations: survey and taxonomy
In data science and content-based retrieval, we find many domain-specific techniques that
employ a data processing pipeline with two fundamental steps. First, data entities are …
employ a data processing pipeline with two fundamental steps. First, data entities are …