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Bayesian kernel based classification for financial distress detection
16 references·16 citing·41 second hopsampled
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2004Human capital, social capital, and innovation: a multi-country study914 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2004Spinning out new ventures: a typology of incubation strategies from European research institutions773 cited
  • 1994A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks718 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2005Volatility Spillover Effects in European Equity Markets651 cited
  • 2001Financial time series prediction using least squares support vector machines within the evidence framework499 cited
  • 2003Customer attrition analysis for financial services using proportional hazard models430 cited
  • 2005What caused the early millennium slowdown? Evidence based on vector autoregressions389 cited
  • 2004A hybrid scatter search/electromagnetism meta-heuristic for project scheduling

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307 cited
  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 1993Corporate Financial Distress and Bankruptcy: A Complete Guide to Predicting & Avoiding Distress and Profiting from Bankruptcy251 cited
  • Cited by

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    • 2013Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings132 cited
    • 2017Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction126 cited
    • 2007Measuring and explaining government efficiency in developing countries110 cited
    • 2008Credit scoring algorithm based on link analysis ranking with support vector machine99 cited
    • 2011Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry99 cited
    • 2007Corporate financial distress an empirical analysis of distress risk93 cited
    • 2017Probabilistic modeling and visualization for bankruptcy prediction90 cited
    • 2006Venture capitalists' selection process: the case of biotechnology proposals89 cited
    • 2007Financial failure prediction using efficiency as a predictor87 cited
    • 2008A reference model for customer-centric data mining with support vector machines86 cited
    • 2020Support Vector Machine Methods and Artificial Neural Networks Used for the Development of Bankruptcy Prediction Models and their Comparison86 cited
    • 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems75 cited
    • 2012Predicting financial distress of the South Korean manufacturing industries75 cited