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Call For Papers

The ICMLMDA 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 Data Analytics, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Innovations in machine learning models
  • Deep learning applications in data analytics
  • Model interpretability in machine learning
  • Transfer learning for data analytics
  • Ensemble methods in predictive modeling
  • Natural language processing with machine learning
  • Reinforcement learning in data-driven decisions
  • Data preprocessing techniques for models
  • Ethical implications of machine learning
  • Real-world applications of machine learning
  • Automated machine learning frameworks
  • Data augmentation strategies for models
  • Hyperparameter tuning in machine learning
  • Model evaluation metrics and techniques
  • Scalable machine learning solutions
  • Machine learning for time series analysis
  • Data privacy in machine learning applications
  • Future trends in machine learning research
  • Collaborative filtering and recommendation systems
  • Machine learning in social good initiatives

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.