All Stories

  1. Neural Networks in Accounting: Clustering Firm Performance Using Financial Reporting Data
  2. An Object-Oriented Bayesian Framework for the Detection of Market Drivers
  3. Unsupervised neural networks for clustering emergent patient flows
  4. Mapping Financial Performances in Italian ICT-Related Firms via Self-organizing Maps
  5. An agent-based simulator driven by variants of Self-Organizing Maps
  6. On a New Index Aimed at Comparing Risks
  7. Understanding Firms’ International Growth: A Proposal via Self Organizing Maps
  8. Exploring Social Systems Dynamics with SOM Variants
  9. A Model for Mortality Forecasting Based on Self Organizing Maps
  10. Graph Mining Based SOM: A Tool to Analyze Economic Stability
  11. Hospital Emergency Department: An Insight by Means of Quantitative Methods
  12. Portfolio Optimization: New Challenges and Perspectives
  13. An analysis of the financial statements of Italian health care providers through correlation-based networks
  14. A New Framework for Assets Selection Based on Dimensions Reduction Techniques
  15. Assessing the Efficiency of Health Care Providers: A SOM Perspective
  16. On the Impact of the Metrics Choice in SOM Learning: Some Empirical Results from Financial Data
  17. Seize the (intra)day: Features selection and rules extraction for tradings on high-frequency data
  18. A computational approach for the health care market
  19. Robust Hedging of Electricity Retail Portfolios with CVaR Constraints
  20. Portfolio Optimization Through Elastic Maps: Some Evidence from the Italian Stock Exchange
  21. A Note on the Sensitivity to Parameters in the Convergence of Self–Organizing Maps
  22. A Hybrid Neural Network System for Trading Financial Markets