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Call For Papers

The ICMLSC 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 techniques in statistics
  • Statistical computing for big data analysis
  • Applications of machine learning in research
  • Statistical methods for model evaluation
  • Machine learning for predictive modeling
  • Data visualization techniques in machine learning
  • Statistical challenges in machine learning
  • Machine learning for time series forecasting
  • Robustness in machine learning models
  • Applications of machine learning in finance
  • Statistical methods for feature selection
  • Machine learning in social sciences research
  • Deep learning and statistical methods
  • Ethics in machine learning applications
  • Machine learning for healthcare analytics
  • Statistical computing for high-dimensional data
  • Future trends in machine learning and statistics
  • Integrating machine learning with statistical theory
  • Statistical methods for ensemble learning
  • Machine learning for causal inference

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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