SNRI

(ICSTMMLA - 27) | Hybrid Event
18th - 19th May 2027 | Bradford, UK

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International Conference on Statistical Techniques for Machine Learning and AI
(ICSTMMLA - 27)

18th - 19th May 2027 Bradford, UK (Hybrid Event)

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Call for Paper

The ICSTMMLA is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Statistics, Data Science, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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