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 …
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 …
Determinants of default in P2P lending
C Serrano-Cinca, B Gutiérrez-Nieto, L López-Palacios - PloS one, 2015 - journals.plos.org
This paper studies P2P lending and the factors explaining loan default. This is an important
issue because in P2P lending individual investors bear the credit risk, instead of financial …
issue because in P2P lending individual investors bear the credit risk, instead of financial …
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation
This paper analyzes recent literature in the search for trends in business intelligence
applications for the banking industry. Searches were performed in relevant journals resulting …
applications for the banking industry. Searches were performed in relevant journals resulting …
Genetic algorithm based model for optimizing bank lending decisions
N Metawa, MK Hassan, M Elhoseny - Expert Systems with Applications, 2017 - Elsevier
To avoid the complexity and time consumption of traditional statistical and mathematical
programming, intelligent techniques have gained great attention in different financial …
programming, intelligent techniques have gained great attention in different financial …
Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches
As a hot topic, financial distress prediction (FDP), or called as corporate failure prediction,
bankruptcy prediction, acts as an important role in decision-making of various areas …
bankruptcy prediction, acts as an important role in decision-making of various areas …
Explainability in supply chain operational risk management: A systematic literature review
It is important to manage operational disruptions to ensure the success of supply chain
operations. To achieve this aim, researchers have developed techniques that determine the …
operations. To achieve this aim, researchers have developed techniques that determine the …
Investigation and improvement of multi-layer perceptron neural networks for credit scoring
Abstract Multi-Layer Perceptron (MLP) neural networks are widely used in automatic credit
scoring systems with high accuracy and efficiency. This paper presents a higher accuracy …
scoring systems with high accuracy and efficiency. This paper presents a higher accuracy …
A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods
Credit risk evaluation is always the most important factor in determining Customers' credit
status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been …
status in financial institutions. Multi-Attribute Decision-Making (MADM) methods have been …
Using a genetic algorithm to optimize an expert credit rating model
R Estran, A Souchaud, D Abitbol - Expert Systems with Applications, 2022 - Elsevier
In this article, we show how an “expert” credit rating model can be optimized through the use
of a genetic algorithm, a way of combining expert intelligence with artificial intelligence. This …
of a genetic algorithm, a way of combining expert intelligence with artificial intelligence. This …