Flex Conference (Physical / Digital)

International Conference on Machine Learning Models for Data Analytics (ICMLMDA - 26)

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Call for Paper

The ICMLMDA 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 Data Analytics encouraging participation from emerging researchers and fostering academic growth.

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

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.

Important Dates

Early Bird Registration :29th July 2026

Paper Submission Deadline :3rd August 2026

Last Date of Registration : 13th August 2026

Date of Conference : 28th - 29th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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