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Artificial Intelligence and Machine Learning in Financial Services to Improve the Business System
16 references·1 citing·48 second hop
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References

  • 2013Data Science and its Relationship to Big Data and Data-Driven Decision Making1,569 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2020Stock Closing Price Prediction using Machine Learning Techniques638 cited
  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2005Innovation Implementation411 cited
  • 2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
  • 2019Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting363 cited
  • 2018Information gain directed genetic algorithm wrapper feature selection for credit rating300 cited
  • 2017Cryptocurrency portfolio management with deep reinforcement learning298 cited
  • 2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
  • 2020A benchmark of machine learning approaches for credit score prediction253 cited

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  • 2000On the profitability of technical trading rules based on artificial neural networks:243 cited
  • 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting227 cited
  • 2002Mining stock price using fuzzy rough set system172 cited
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    • 2025“A comprehensive review of AI-enhanced decision making: An empirical analysis for optimizing medication market business”9 cited