Impacts of crisis on SME bankruptcy prediction models' performance

M Papík, L Papíková - Expert Systems with Applications, 2023 - Elsevier
Turbulent economic situation, changes in financial reporting, swift legislative changes, or
companies' earnings management during the COVID-19 crisis might have impacted the …

Intelligent candlestick forecast system for financial time-series analysis using metaheuristics-optimized multi-output machine learning

JS Chou, NM Nguyen, CP Chang - Applied Soft Computing, 2022 - Elsevier
The effective prediction of stock market prices and trends is a critical topic in financial
research for investors and stakeholders who wish to increase their return on investment …

Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises

L Papíková, M Papík - Intelligent Systems in Accounting …, 2022 - Wiley Online Library
Small and medium‐sized enterprises are the pillars of an economy, and their poor
performance has a negative impact on living standards of population and country …

Generalizing factors of COVID-19 vaccine attitudes in different regions: A summary generation and topic modeling approach

Y Liu, J Shi, C Zhao, C Zhang - Digital Health, 2023 - journals.sagepub.com
Objective The goal of this study is to use summary generation and topic modeling to identify
factors contributing to vaccine attitudes for three different vaccine brands, with the aim of …

Assessing the helpfulness of hotel reviews for information overload: A multi-view spatial feature approach

Y Liu, X Ding, M Chi, J Wu, L Ma - Information Technology & Tourism, 2024 - Springer
Consumer perceptions of helpfulness remain an open question due to the lack of semantic
and spatial features of review content. This paper aims to explore three aspects of the …

Credit scoring prediction leveraging interpretable ensemble learning

Y Liu, F Huang, L Ma, Q Zeng, J Shi - Journal of Forecasting, 2024 - Wiley Online Library
Credit scoring models based on machine learning often need to work on accuracy and
interpretability in practical applications. Original KCDWU has a more prominent adaptive …

Application of machine learning techniques to predict entrepreneurial firm valuation

R Zhang, Z Tian, KJ McCarthy, X Wang… - Journal of …, 2023 - Wiley Online Library
Venture capital (VC) is the main contributor to entrepreneurial firms' funding and thus plays a
crucial role in their sustainable development and rapid growth. However, early‐stage VC …

Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis

K El Madou, S Marso, M El Kharrim… - Expert …, 2024 - Wiley Online Library
In recent years, financial distress prediction (FDP), also known as corporate failure
prediction or bankruptcy prediction, has gained significant importance due to its impact on …

A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data

R Yin, W Lu, J Yang - IEEE Transactions on Emerging Topics in …, 2023 - ieeexplore.ieee.org
In this article, a hypersphere information granule-based fuzzy classifier integrated with Fuzzy
Cognitive Maps (FCM), named FCM-IGFC, is proposed for the classification of imbalanced …

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 …