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Call For Papers

The ICSIMLAI 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:

  • Statistical inference in machine learning
  • Bayesian statistics for AI applications
  • Statistical challenges in deep learning
  • Causal inference in machine learning models
  • Statistical methods for model evaluation
  • Feature selection techniques in AI
  • Statistical learning theory and applications
  • Data preprocessing for machine learning
  • Statistical frameworks for AI ethics
  • Statistical tools for big data analytics
  • Statistical methods for reinforcement learning
  • Interpretability of machine learning models
  • Statistical issues in data privacy
  • Statistical modeling of complex systems
  • Statistical techniques for time series analysis
  • Unsupervised learning and statistical methods
  • Statistical evaluation of AI systems
  • Transfer learning in statistical contexts
  • Statistical power analysis in AI studies
  • Statistical education for machine learning

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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