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

Digital finance and corporate bankruptcy risk: Evidence from China

(2022) Yu Ji et al.   Pacific-Basin Finance Journal

Anticipating financial distress of high‐tech startups in the European Union: A machine learning approach for imbalanced samples

(2022) Yang Liu et al.   JOURNAL OF FORECASTING

Corporate finance risk prediction based on LightGBM

(2022) Di-ni Wang et al.   INFORMATION SCIENCES

Multi-source aggregated classification for stock price movement prediction

(2022) Yu Ma et al.   Information Fusion

Undersampling bankruptcy prediction: Taiwan bankruptcy data

(2021) Haoming Wang et al.   PLoS One

Selective oversampling approach for strongly imbalanced data

(2021) Peter Gnip et al.   PeerJ Computer Science

Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods

(2020) Elena Gregova et al.   Sustainability

Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World

(2020) Talha Mahboob Alam et al.   COMPUTER JOURNAL

Two‐stage hybrid learning techniques for bankruptcy prediction

(2020) Chih‐Fong Tsai   Statistical Analysis and Data Mining

A new perspective of performance comparison among machine learning algorithms for financial distress prediction

(2019) Yu-Pei Huang et al.   APPLIED SOFT COMPUTING

Data analytic approach for bankruptcy prediction

(2019) H. Son et al.   EXPERT SYSTEMS WITH APPLICATIONS

An investigation of bankruptcy prediction in imbalanced datasets

(2018) David Veganzones et al.   DECISION SUPPORT SYSTEMS

Feature selection in single and ensemble learning-based bankruptcy prediction models

(2018) Wei-Chao Lin et al.   EXPERT SYSTEMS

The effects of handling outliers on the performance of bankruptcy prediction models

(2018) Tamás Nyitrai et al.   SOCIO-ECONOMIC PLANNING SCIENCES

Machine learning models and bankruptcy prediction

(2017) Flavio Barboza et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recent advances in feature selection and its applications

(2017) Yun Li et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Artificial neural networks in business: Two decades of research

(2016) Michal Tkáč et al.   APPLIED SOFT COMPUTING

AdaBoost Models for Corporate Bankruptcy Prediction with Missing Data

(2016) Ligang Zhou et al.   Computational Economics

Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction

(2016) Hyun-Jung Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Adaptive imputation of missing values for incomplete pattern classification

(2016) Zhun-ga Liu et al.   PATTERN RECOGNITION

Generalized Hampel Filters

(2016) Ronald K. Pearson et al.   EURASIP Journal on Advances in Signal Processing

Financial credit risk assessment: a recent review

(2015) Ning Chen et al.   ARTIFICIAL INTELLIGENCE REVIEW

The effect of feature selection on financial distress prediction

(2015) Deron Liang et al.   KNOWLEDGE-BASED SYSTEMS

Evaluation of clustering algorithms for financial risk analysis using MCDM methods

(2014) Gang Kou et al.   INFORMATION SCIENCES

An improved boosting based on feature selection for corporate bankruptcy prediction

(2013) Gang Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of multiple classifier systems as hybrid systems

(2013) Michał Woźniak et al.   Information Fusion

Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches

(2013) Jie Sun et al.   KNOWLEDGE-BASED SYSTEMS

Partial Least Square Discriminant Analysis for bankruptcy prediction

(2012) Carlos Serrano-Cinca et al.   DECISION SUPPORT SYSTEMS

Comparative analysis of data mining methods for bankruptcy prediction

(2011) David L. Olson et al.   DECISION SUPPORT SYSTEMS

Financial health prediction models using artificial neural networks, genetic algorithm and multivariate discriminant analysis: Iranian evidence

(2011) F. Mokhatab Rafiei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Simple instance selection for bankruptcy prediction

(2011) Chih-Fong Tsai et al.   KNOWLEDGE-BASED SYSTEMS

A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an example

(2011) Wen-Tsao Pan   KNOWLEDGE-BASED SYSTEMS

Fuzzy Support Vector Machine for bankruptcy prediction

(2010) Arindam Chaudhuri et al.   APPLIED SOFT COMPUTING

Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods

(2010) Hui Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

A hybrid approach of DEA, rough set and support vector machines for business failure prediction

(2009) Ching-Chiang Yeh et al.   EXPERT SYSTEMS WITH APPLICATIONS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Pattern classification with missing data: a review

(2009) Pedro J. García-Laencina et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey

(2009) Antanas Verikas et al.   SOFT COMPUTING

Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks

(2008) Esteban Alfaro et al.   DECISION SUPPORT SYSTEMS

Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers

(2008) P Pendharkar   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

Feature selection in bankruptcy prediction

(2008) Chih-Fong Tsai   KNOWLEDGE-BASED SYSTEMS

Forecasting financial condition of Chinese listed companies based on support vector machine

(2007) Y DING et al.   EXPERT SYSTEMS WITH APPLICATIONS

Analyzing the financial distress of Chinese public companies using probabilistic neural networks and multivariate discriminate analysis

(2007) Desheng(Dash) Wu et al.   SOCIO-ECONOMIC PLANNING SCIENCES