Welcome to CMLA 2025

7th International Conference on Machine Learning & Applications (CMLA 2025)

July 19 ~ 20, 2025, Toronto, Canada

Hybrid--Registered authors can present their work online or face to face New

Program Committee

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Accepted Papers

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Toronto, Canada

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Scope

7th International Conference on Machine Learning & Applications (CMLA 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications


Call for Papers


7th International Conference on Machine Learning & Applications (CMLA 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.


Topics of interest include, but are not limited to, the following


  • Bayesian Network
  • Computer Vision
  • Data Mining
  • Deep Learning
  • Learning in knowledge-intensive systems
  • Learning Methods and analysis
  • Learning Problems
  • Machine Learning Algorithms
  • Neural Networks
  • Predictive Learning
  • Reinforcement Learning
  • Supervised Machine Learning
  • Unsupervised Machine Learning

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 08, 2025. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Important Dates

Submission Deadline

February 08, 2025

Authors Notification

April 12, 2025

Registration & camera - Ready Paper Due

April 19, 2025

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors