6thInternational Conference on Advanced Machine Learning (AMLA 2025)

6th International Conference on Advanced Machine Learning (AMLA 2025)

July 26 ~ 27, 2025, London, United Kingdom

https://csit2025.org/amla/index

Scope & Topics

6th International Conference on Advanced Machine Learning (AMLA 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:

• Applications
• Learning in knowledge-intensive systems
• Learning Methods and analysis
• Learning Problems
• Trends in ML
• Machine Learning Algorithms
• Supervised Machine Learning
• Unsupervised Machine Learning
• Deep Learning
• Neural Networks
• Reinforcement Learning
• Predictive Learning
• Learning Problems

Paper Submission

Authors are invited to submit papers through the conference Submission System by June 28, 2025(Last Call). 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 AMLA 2025, after further revisions, will be published in the special issues of the following journals

• Machine Learning and Applications: An International Journal (MLAIJ)
• International Journal of Artificial Intelligence & Applications (IJAIA)

Important Dates

• Submission Deadline :June 28, 2025(Last Call)
• Authors Notification : July 15, 2025
• Registration & Camera-Ready Paper Due : July 21, 2025

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