SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Financial Fraud Prediction Framework Based on Stacking Ensemble Learning
16 references·0 citing·35 second hop
A Financial Fraud Prediction Framework Based on Stacking Ensemble Learning (2024)A Financial Fraud Prediction Framework Ba…Using machine learning to detect misstatements (2020)Using machine learning to det…Deep learning for detecting financial statement fraud (2020)Deep learning for detecting f…What Are You Saying? Using topic to Detect Financial Misreporting (2019)What Are You Saying? Using to…Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach (2019)Detecting Accounting Fraud in…Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Mining corporate annual repor…Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning (2016)Detecting financial misstatem…Financial fraud detection using vocal, linguistic and financial cues (2015)Financial fraud detection usi…MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1 (2012)MetaFraud: A Meta-Learning Fr…Predicting Material Accounting Misstatements* (2011)Predicting Material Accountin…Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms (2011)Financial Statement Fraud Det…Identification of fraudulent financial statements using linguistic credibility analysis (2010)Identification of fraudulent …Detection of financial statement fraud and feature selection using data mining techniques (2010)Detection of financial statem…Detecting Management Fraud in Public Companies (2010)Detecting Management Fraud in…Assessing the Risk of Management Fraud Through Neural Network Technology. (1997)Assessing the Risk of Managem…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC* (1996)An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)An application of support vector machines in bankruptcy prediction model (2004)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Big data techniques in auditing research and practice: Current trends and future opportunities (2018)Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis (2021)Cues to deception. (2003)Annual report readability, current earnings, and earnings persistence (2008)Analyzing Speech to Detect Financial Misreporting (2011)Big Data as Complementary Audit Evidence (2015)The market pricing of accruals quality (2005)CEO Wrongdoing: A Review of Pressure, Opportunity, and Rationalization (2018)Detecting Earnings Management. (1995)Performance matched discretionary accrual measures (2005)The economic implications of corporate financial reporting (2005)Understanding earnings quality: A review of the proxies, their determinants and their consequences (2010)A Framework for Understanding and Researching Audit Quality (2011)Executive Overconfidence and the Slippery Slope to Financial Misreporting (2011)Who Blows the Whistle on Corporate Fraud? (2010)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Machine Learning for Financial Risk Management: A Survey (2020)AI integration in financial services: a systematic review of trends and regulatory challenges (2025)Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors (2002)Machine learning improves accounting estimates: evidence from insurance payments (2020)Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data (2022)How to Talk When a Machine Is Listening: Corporate Disclosure in the Age of AI (2023)The Quarterly Journal of Economics (2024)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)FinTech as a Game Changer: Overview of Research Frontiers (2021)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2011Predicting Material Accounting Misstatements*1,832 cited
  • 2010Detection of financial statement fraud and feature selection using data mining techniques586 cited
  • 2019Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach504 cited
  • 2011Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms393 cited
  • 2010Detecting Management Fraud in Public Companies369 cited
  • 2010Identification of fraudulent financial statements using linguistic credibility analysis342 cited
  • 2017Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods337 cited
  • 2020Using machine learning to detect misstatements303 cited
  • 2012MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud1297 cited
  • 2020Deep learning for detecting financial statement fraud291 cited
  • 2019What Are You Saying? Using topic to Detect Financial Misreporting276 cited
  • 1997Assessing the Risk of Management Fraud Through Neural Network Technology.244 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2016
Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning
141 cited
  • 2015Financial fraud detection using vocal, linguistic and financial cues127 cited
  • Cited by

    No citing works inside the corpus for this window.