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International Conference on Statistical Inference in Machine Learning and AI (ICSIMLAI - 27)

13th - 14th April 2027, Hamburg, Germany

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Call for Paper

The ICSIMLAI provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Statistics, Data Science encouraging participation from emerging researchers and fostering academic growth.

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

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

 Ready to Participate?

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Important Dates

Early Bird Registration :14th March 2027

Paper Submission Deadline :19th March 2027

Last Date of Registration : 29th March 2027

Date of Conference : 13th - 14th April 2027

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