Conference Description:

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

July 19 ~ 20, 2025, Toronto, Canada

https://cseit2025.org/cmla/index

Scope & Topics

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 May 10, 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).

Selected papers from CMLA 2025, after further revisions, will be published in the special issue of the following journals.

• Machine Learning and Applications: An International Journal (MLAIJ)
• International Journal of Artificial Intelligence & Applications (IJAIA)
• Advances in Vision Computing: An International Journal (AVC)

Contact Us

Here's where you can reach us: [email protected] (or) [email protected]

For more details, please visit: https://cseit2025.org/cmla/index

Paper Submission Link: https://cseit2025.org/submission/index.p hp