[HTML][HTML] Exploring local explanation of practical industrial AI applications: A systematic literature review

TTH Le, AT Prihatno, YE Oktian, H Kang, H Kim - Applied Sciences, 2023 - mdpi.com
In recent years, numerous explainable artificial intelligence (XAI) use cases have been
developed, to solve numerous real problems in industrial applications while maintaining the …

Promoting sustainability in finance with AI: A review of current practices and future potential

AT Oyewole, OB Adeoye, WA Addy, CC Okoye… - World Journal of …, 2024 - wjarr.com
This study explores the transformative integration of Artificial Intelligence (AI) into
sustainable finance, highlighting its potential to redefine financial practices in alignment with …

Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction

FM Talaat, A Aljadani, M Badawy… - Neural Computing and …, 2024 - Springer
In recent years, the increasing prevalence of credit card usage has raised concerns about
accurately predicting and managing credit card defaults. While machine learning and deep …

Artificial intelligence applications in finance: a survey

X Li, A Sigov, L Ratkin, LA Ivanov… - Journal of Management …, 2023 - Taylor & Francis
Finance is in our daily life. We invest, borrow, lend, budget, and save money. Finance also
provides guidelines for corporation and government spending and revenue collection …

Explainable Artificial Intelligence (XAI) approaches for transparency and accountability in financial decision-making

N Rane, S Choudhary, J Rane - Available at SSRN 4640316, 2023 - papers.ssrn.com
Recently, there has been a growing trend in incorporating Artificial Intelligence (AI) into
financial decision-making, prompting concerns about the transparency and accountability of …

[HTML][HTML] Explainable image classification: The journey so far and the road ahead

V Kamakshi, NC Krishnan - AI, 2023 - mdpi.com
Explainable Artificial Intelligence (XAI) has emerged as a crucial research area to address
the interpretability challenges posed by complex machine learning models. In this survey …

Blockchain and Artificial Intelligence (AI) integration for revolutionizing security and transparency in finance

N Rane, S Choudhary, J Rane - Available at SSRN 4644253, 2023 - papers.ssrn.com
The convergence of Blockchain technology and Artificial Intelligence (AI) is exerting a
transformative influence, ushering in a new epoch of security and transparency within the …

Test input prioritization for Machine Learning Classifiers

X Dang, Y Li, M Papadakis, J Klein… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Machine learning has achieved remarkable success across diverse domains. Nevertheless,
concerns about interpretability in black-box models, especially within Deep Neural Networks …

Evaluating self-attention interpretability through human-grounded experimental protocol

M Bhan, N Achache, V Legrand, A Blangero… - World Conference on …, 2023 - Springer
Attention mechanisms have played a crucial role in the development of complex
architectures such as Transformers in natural language processing. However, Transformers …

Industry 4.0 Transformation: Analysing the Impact of Artificial Intelligence on the Banking Sector through Bibliometric Trends

AG Manta, RM Bădîrcea, NM Doran, G Badareu… - Electronics, 2024 - mdpi.com
The importance of artificial intelligence in the banking industry is reflected in the speed at
which financial institutions are adopting and implementing AI solutions to improve their …