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Ai in finance: challenges, techniques, and opportunities
L Cao - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …
attracted attention for decades, with both classic and modern AI techniques applied to …
Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science
Credit risk is the critical problem faced by banking and financial sectors when the borrower
fails to complete their commitments to pay back. The factors that could increase credit risk …
fails to complete their commitments to pay back. The factors that could increase credit risk …
[HTML][HTML] Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
B Gülmez - Expert Systems with Applications, 2023 - Elsevier
The stock market is a financial market where shares of publicly listed corporations are
purchased and sold. It is an indicator of a country's economic health, reflecting the …
purchased and sold. It is an indicator of a country's economic health, reflecting the …
Analysis of bitcoin price prediction using machine learning
J Chen - Journal of risk and financial management, 2023 - mdpi.com
The research purpose of this paper is to obtain an algorithm model with high prediction
accuracy for the price of Bitcoin on the next day through random forest regression and …
accuracy for the price of Bitcoin on the next day through random forest regression and …
Artificial Intelligence and reduced SMEs' business risks. A dynamic capabilities analysis during the COVID-19 pandemic
N Drydakis - Information Systems Frontiers, 2022 - Springer
The study utilises the International Labor Organization's SMEs COVID-19 pandemic
business risks scale to determine whether Artificial Intelligence (AI) applications are …
business risks scale to determine whether Artificial Intelligence (AI) applications are …
[HTML][HTML] A building energy consumption prediction model based on rough set theory and deep learning algorithms
L Lei, W Chen, B Wu, C Chen, W Liu - Energy and Buildings, 2021 - Elsevier
The efficient and accurate prediction of building energy consumption can improve the
management of power systems. In this paper, the rough set theory was used to reduce the …
management of power systems. In this paper, the rough set theory was used to reduce the …
Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data
W Zhang, S Yan, J Li, X Tian, T Yoshida - Transportation Research Part E …, 2022 - Elsevier
The credit risk of small and medium-sized enterprises (SMEs) in supply chain finance (SCF)
is defined as the probability that the SME would default on loans derived from financing for …
is defined as the probability that the SME would default on loans derived from financing for …
A deep reinforcement learning approach for rail renewal and maintenance planning
Develo** optimal rail renewal and maintenance planning that minimizes long-term costs
and risks of failure is of paramount importance for railroad industry. However, intrinsic …
and risks of failure is of paramount importance for railroad industry. However, intrinsic …
[PDF][PDF] AI in finance: A review
L Cao - Available at SSRN, 2020 - datasciences.org
∗ A comprehensive version of our review on AI in Finance is accessible at SSRN: http://dx.
doi. org/10.2139/ssrn. 3647625. This article complements the other paper 'AI in Finance …
doi. org/10.2139/ssrn. 3647625. This article complements the other paper 'AI in Finance …
Forecasting mid-price movement of Bitcoin futures using machine learning
In the aftermath of the global financial crisis and ongoing COVID-19 pandemic, investors
face challenges in understanding price dynamics across assets. This paper explores the …
face challenges in understanding price dynamics across assets. This paper explores the …