Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEE …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

Investigating the influence of artificial intelligence on business value in the digital era of strategy: A literature review

NA Perifanis, F Kitsios - Information, 2023 - mdpi.com
For organizations, the development of new business models and competitive advantages
through the integration of artificial intelligence (AI) in business and IT strategies holds …

[HTML][HTML] Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection

G Kou, Y Xu, Y Peng, F Shen, Y Chen, K Chang… - Decision Support …, 2021 - Elsevier
Many bankruptcy prediction models for small and medium-sized enterprises (SMEs) are built
using accounting-based financial ratios. This study proposes a bankruptcy prediction model …

Machine learning for reliability engineering and safety applications: Review of current status and future opportunities

Z Xu, JH Saleh - Reliability Engineering & System Safety, 2021 - Elsevier
Abstract Machine learning (ML) pervades an increasing number of academic disciplines and
industries. Its impact is profound, and several fields have been fundamentally altered by it …

Artificial intelligence and fintech: An overview of opportunities and risks for banking, investments, and microfinance

A Ashta, H Herrmann - Strategic Change, 2021 - Wiley Online Library
Artificial Intelligence (AI) is creating a rush of opportunities in the financial sector, but
financial organizations need to be aware of the risks inherent in the use of this technology …

Dynamic connectedness between stock markets in the presence of the COVID-19 pandemic: does economic policy uncertainty matter?

M Youssef, K Mokni, AN Ajmi - Financial Innovation, 2021 - Springer
This study investigates the dynamic connectedness between stock indices and the effect of
economic policy uncertainty (EPU) in eight countries where COVID-19 was most widespread …

Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial …

Y Wu, Z Zhang, G Kou, H Zhang, X Chao, CC Li… - Information …, 2021 - Elsevier
Distributed linguistic representations are powerful tools for modelling the uncertainty and
complexity of preference information in linguistic decision making. To provide a …

An investigation of credit card default prediction in the imbalanced datasets

TM Alam, K Shaukat, IA Hameed, S Luo… - Ieee …, 2020 - ieeexplore.ieee.org
Financial threats are displaying a trend about the credit risk of commercial banks as the
incredible improvement in the financial industry has arisen. In this way, one of the biggest …

The impact of the COVID-19 outbreak on Chinese-listed tourism stocks

W Wu, CC Lee, W Xing, SJ Ho - Financial Innovation, 2021 - Springer
This research explored the effects of the coronavirus disease (COVID-19) outbreak on stock
price movements of China's tourism industry by using an event study method. The results …

[HTML][HTML] Estimating priorities from relative deviations in pairwise comparison matrices

J Zhang, G Kou, Y Peng, Y Zhang - Information Sciences, 2021 - Elsevier
The problem of deriving the priority vector from a pairwise comparison matrix is at the heart
of multiple-criteria decision-making problems. Existing prioritization methods mostly model …