[HTML][HTML] How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda
V Singh, SS Chen, M Singhania, B Nanavati… - International Journal of …, 2022 - Elsevier
Data availability and accessibility have brought in unseen changes in the finance systems
and new theoretical and computational challenges. For example, in contrast to classical …
and new theoretical and computational challenges. For example, in contrast to classical …
Deep learning for financial applications: A survey
Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …
financial industry in the last few decades. Numerous studies have been published resulting …
Statistical and machine learning models in credit scoring: A systematic literature survey
In practice, as a well-known statistical method, the logistic regression model is used to
evaluate the credit-worthiness of borrowers due to its simplicity and transparency in …
evaluate the credit-worthiness of borrowers due to its simplicity and transparency in …
[HTML][HTML] 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 …
Deep learning for credit scoring: Do or don't?
Developing accurate analytical credit scoring models has become a major focus for financial
institutions. For this purpose, numerous classification algorithms have been proposed for …
institutions. For this purpose, numerous classification algorithms have been proposed for …
Deep learning model for Demolition Waste Prediction in a circular economy
LA Akanbi, AO Oyedele, LO Oyedele… - Journal of Cleaner …, 2020 - Elsevier
An essential requirement for a successful circular economy is the continuous use of
materials. Planning for building materials reuse at the end-of-life of buildings is usually a …
materials. Planning for building materials reuse at the end-of-life of buildings is usually a …
A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment
PZ Lappas, AN Yannacopoulos - Applied Soft Computing, 2021 - Elsevier
Most credit scoring algorithms are designed with the assumption to be executed in an
environment characterized by an automatic processing of credit applications, without …
environment characterized by an automatic processing of credit applications, without …
Large language models in finance: A survey
Recent advances in large language models (LLMs) have opened new possibilities for
artificial intelligence applications in finance. In this paper, we provide a practical survey …
artificial intelligence applications in finance. In this paper, we provide a practical survey …
An explainable AI decision-support-system to automate loan underwriting
Widespread adoption of automated decision making by artificial intelligence (AI) is
witnessed due to specular advances in computation power and improvements in …
witnessed due to specular advances in computation power and improvements in …
Machine learning for financial risk management: a survey
Financial risk management avoids losses and maximizes profits, and hence is vital to most
businesses. As the task relies heavily on information-driven decision making, machine …
businesses. As the task relies heavily on information-driven decision making, machine …