Welcome to CMLA 2025
7th International Conference on Machine Learning & Applications (CMLA 2025)
July 19 ~ 20, 2025, Toronto, Canada
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
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
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 Closed. 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 journal.
Invited Talk
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Sponsors
Speakers