HYBRID EVENT: You can participate in person at Phoenix, USA or Virtually from your home or work

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Call For Papers

The ICSL-AI 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 learning in artificial intelligence
  • Applications of AI in statistical modeling
  • Machine learning techniques for data analysis
  • Statistical methods for predictive modeling
  • Deep learning and statistical inference
  • Statistical challenges in AI research
  • Causal inference in statistical learning
  • Data-driven approaches to AI development
  • Statistical evaluation of machine learning models
  • Feature engineering in statistical learning
  • Bayesian methods in AI applications
  • Statistical frameworks for AI ethics
  • Statistical techniques for big data analysis
  • Unsupervised learning and statistical methods
  • Statistical power analysis in AI studies
  • Reinforcement learning and statistical approaches
  • Statistical tools for AI interpretability
  • Data privacy issues in statistical learning
  • Statistical methods for time series forecasting
  • Statistical education for AI practitioners

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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