HYBRID EVENT: You can participate in person at Riyadh, Saudi Arabia or Virtually from your home or work

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Call For Papers

The ICSTMMLA bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistics, Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

  • Machine learning algorithms for statistical analysis
  • Statistical techniques in AI model evaluation
  • Feature selection methods in machine learning
  • Statistical learning theory applications
  • Data preprocessing for machine learning models
  • Ensemble methods in statistical learning
  • Deep learning and statistical inference
  • Bayesian statistics in AI applications
  • Statistical methods for big data analytics
  • Interpretability of machine learning models
  • Statistical challenges in AI deployment
  • Reinforcement learning and statistical methods
  • Statistical evaluation of AI systems
  • Transfer learning in statistical contexts
  • Statistical methods for time series analysis
  • Unsupervised learning and statistical techniques
  • Statistical issues in data privacy
  • Statistical frameworks for AI ethics
  • Applications of statistics in natural language processing
  • Statistical modeling of complex systems

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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Conference Alert

Due to heightened regional tensions and travel risks, the conference may be conducted in virtual-only mode. Updates regarding participation format will be communicated in advance.