Flex Conference (Physical / Digital)

International Conference on Machine Learning in Finance, Risk, and Optimization - (ICMLFRO-27)

18th - 19th May 2027 , Maceio - Brazil

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Call For Papers

The (ICMLFRO-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computational Science, Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning in financial risk assessment
  • Predictive modeling for investment strategies
  • AI applications in credit scoring
  • Optimization techniques in financial modeling
  • Fraud detection using machine learning
  • Risk management in financial markets
  • Data-driven approaches to portfolio optimization
  • Machine learning for insurance underwriting
  • Algorithmic trading and predictive analytics
  • Financial forecasting with AI techniques
  • Stress testing financial models
  • Impact of regulations on financial analytics
  • Behavioral finance and machine learning
  • Market trend analysis using big data
  • Credit risk modeling with machine learning
  • Ethics in financial data analytics
  • Real-time analytics for trading decisions
  • Challenges in financial data integration
  • Future of AI in finance and risk
  • Interdisciplinary approaches to financial optimization

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.