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Machine learning techniques in bankruptcy prediction: A systematic literature review
A Dasilas, A Rigani - Expert systems with applications, 2024 - Elsevier
The main objective of this systematic literature review is to unveil the prevailing trend of
employing cutting-edge models for bankruptcy prediction for a period spanning from 2012 to …
employing cutting-edge models for bankruptcy prediction for a period spanning from 2012 to …
Bankruptcy prediction with low-quality financial information
The corporate bankruptcy prediction literature has traditionally relied on data from public,
audited companies. However, the vast majority of firms worldwide are privately-held and …
audited companies. However, the vast majority of firms worldwide are privately-held and …
Enhancing corporate bankruptcy prediction via a hybrid genetic algorithm and domain adaptation learning architecture
In the contemporary business landscape, accurately evaluating a company's financial health
is essential for stakeholders to mitigate risks and avert bankruptcy. This study presents an …
is essential for stakeholders to mitigate risks and avert bankruptcy. This study presents an …
“I married because…”: Motivations to marry early among female spouses in child marriages in northern Ghana
Child marriage is practised in Ghana with a prevalence rate of 27.2%. This high prevalence
is due to how marriage is conceptualized and constructed in communities that practice child …
is due to how marriage is conceptualized and constructed in communities that practice child …
[HTML][HTML] Challenges of Artificial Intelligence for the Prevention and Identification of Bankruptcy Risk in Financial Institutions: A Systematic Review
The identification and prediction of financial bankruptcy has gained relevance due to its
impact on economic and financial stability. This study performs a systematic review of …
impact on economic and financial stability. This study performs a systematic review of …
[PDF][PDF] Legal Policy of State Financial Losses Arrangement in a State-Owned Enterprise
GM Swardhana, S Monteiro - Bestuur, 2023 - academia.edu
Generally, institutions are commonly perceived as factors that impede economic
performance. However, a body of research presents an alternative perspective, arguing that …
performance. However, a body of research presents an alternative perspective, arguing that …
Enhancing credit risk assessments of SMEs with non-financial information
RR Wahlstrøm, LK Becker… - Cogent Economics & …, 2024 - Taylor & Francis
We investigate non-financial variables for predicting bankruptcy in small and medium-sized
enterprises (SMEs). The variables encompass management, board and ownership …
enterprises (SMEs). The variables encompass management, board and ownership …
[HTML][HTML] “It's the patient that suffers from poor communication”: Analyzing communication gaps and associated consequences in handover events from nurses' …
RA Atinga, MN Gmaligan, A Ayawine… - SSM-Qualitative Research …, 2024 - Elsevier
Background Although routine communication gaps among clinical shift teams significantly
account for adverse care and treatment outcomes, existing analysis of the phenomenon …
account for adverse care and treatment outcomes, existing analysis of the phenomenon …
Can China's low-carbon city pilot policy facilitate carbon neutrality? Evidence from a machine learning approach
Z Wang, F Zhou, J Zhong - Economic Analysis and Policy, 2024 - Elsevier
This study examines China's 2060 carbon neutrality goal using the Double/Debiased
Machine Learning (DML) model to analyze the causal effects of the low-carbon city pilot …
Machine Learning (DML) model to analyze the causal effects of the low-carbon city pilot …
Advancing bankruptcy prediction: a study on an improved rime optimization algorithm and its application in feature selection
Y Ji, C Lu, L Liu, AA Heidari, C Wu, H Chen - International Journal of …, 2025 - Springer
To solve bankruptcy prediction tasks, we proposed an improved rime optimization technique
(RMRIME). The proposed RMRIME algorithm first employs roulette wheel selection step …
(RMRIME). The proposed RMRIME algorithm first employs roulette wheel selection step …