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Predicting financial distress using multimodal data: An attentive and regularized deep learning method
16 references·6 citing·46 second hop
Predicting financial distress using multimodal data: An attentive and regularized deep learning method (2024)Predicting financial distress using multi…Financial applications of machine learning: A literature review (2023)Financial applications of mac…Extending business failure prediction models with textual website content using deep learning (2022)Extending business failure pr…An explainable artificial intelligence approach for financial distress prediction (2022)An explainable artificial int…Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)Multi-class financial distres…Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree (2021)Financial distress prediction…Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Statistical and machine learn…Evaluating the credit risk of SMEs using legal judgments (2020)Evaluating the credit risk of…Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2020)Bankruptcy prediction for SME…Predicting distresses using deep learning of text segments in annual reports (2019)Predicting distresses using d…Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting (2019)Class-imbalanced dynamic fina…Decision support from financial disclosures with deep neural networks and transfer learning (2017)Decision support from financi…Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending (2017)Cost-sensitive boosted tree f…Bankruptcy prediction for SMEs using relational data (2017)Bankruptcy prediction for SME…Screening Peers Softly: Inferring the Quality of Small Borrowers (2015)Screening Peers Softly: Infer…Financial credit risk assessment: a recent review (2015)Financial credit risk assessm…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework (2025)Predicting financial distress…Multi-modal deep learning for credit rating prediction using text and numerical data streams (2025)Multi-modal deep learning for…LLM-infused bi-level semantic enhancement for corporate credit risk prediction (2025)LLM-infused bi-level semantic…Integrative Analysis of Traditional and Cash Flow Financial Ratios: Insights from a Systematic Comparative Review (2025)Integrative Analysis of Tradi…Corporate financial distress prediction using the risk-related information content of annual reports (2024)Corporate financial distress …Class imbalance Bayesian model averaging for consumer loan default prediction: The role of soft credit information (2024)Class imbalance Bayesian mode…Credit Rationing in Markets with Imperfect Information (1981)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)The Economics of Crowdfunding Platforms (2015)Information: Hard and Soft (2018)Peer-to-Peer Lenders Versus Banks: Substitutes or Complements? (2018)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Deep learning models for bankruptcy prediction using textual disclosures (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Forecasting bank failures and stress testing: A machine learning approach (2018)Integration of unsupervised and supervised machine learning algorithms for credit risk assessment (2019)Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending (2020)PORTFOLIO SELECTION* (1952)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Peer to Peer (P2P) Lending Problems and Potential Solutions: A Systematic Literature Review (2019)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)A Comparative Performance Assessment of Ensemble Learning for Credit Scoring (2020)Forecasting principles and practiceThe Behavior of Stock-Market Prices (1965)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market (2020)Transformer-based attention network for stock movement prediction (2022)A neural network model for bankruptcy prediction (1990)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine learning models and bankruptcy prediction (2017)A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique (2020)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network (2022)Credit risk measurement: Developments over the last 20 years (1997)How does financial literacy impact on inclusive finance? (2021)Cryptocurrency trading: a comprehensive survey (2022)Survey of feature selection and extraction techniques for stock market prediction (2023)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Interpreting the prediction results of the tree‐based gradient boosting models for financial distress prediction with an explainable machine learning approach (2022)Systematic Review of Financial Distress Identification using Artificial Intelligence Methods (2022)A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)Adaptive stock trading strategies with deep reinforcement learning methods (2020)Combining corporate governance indicators with stacking ensembles for financial distress prediction (2020)Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression (2023)Machine learning in business and finance: a literature review and research opportunities (2024)Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)
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References

  • 2015Screening Peers Softly: Inferring the Quality of Small Borrowers623 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
  • 2020Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection381 cited
  • 2019Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting363 cited
  • 2017Decision support from financial disclosures with deep neural networks and transfer learning316 cited
  • 2015Financial credit risk assessment: a recent review234 cited
  • 2023Financial applications of machine learning: A literature review230 cited
  • 2017Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending189 cited
  • 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods144 cited
  • 2021Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree131 cited
  • 2017Bankruptcy prediction for SMEs using relational data122 cited
  • 2019Predicting distresses using deep learning of text segments in annual reports103 cited
  • 2022

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An explainable artificial intelligence approach for financial distress prediction
100 cited
  • 2022Extending business failure prediction models with textual website content using deep learning80 cited
  • 2020Evaluating the credit risk of SMEs using legal judgments76 cited
  • Cited by

    • 2024Corporate financial distress prediction using the risk-related information content of annual reports47 cited
    • 2025Multi-modal deep learning for credit rating prediction using text and numerical data streams33 cited
    • 2025Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework30 cited
    • 2025Integrative Analysis of Traditional and Cash Flow Financial Ratios: Insights from a Systematic Comparative Review23 cited
    • 2024Class imbalance Bayesian model averaging for consumer loan default prediction: The role of soft credit information15 cited
    • 2025LLM-infused bi-level semantic enhancement for corporate credit risk prediction14 cited