International Conference on Advanced Machine Learning(AMLA 2020)

June 13 ~ 14, 2020, Helsinki, Finland

https://csit2020.org/amla/index.html

Scope & Topics

International Conference on Advanced Machine Learning (AMLA 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

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 areas of Machine Learning.

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

Paper Submission

Authors are invited to submit papers through the conference Submission System by May 23, 2020. 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 2020, after further revisions, will be published in the special issue of the following journal.

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

Important Dates

Second Batch : (Submissions after April 04, 2020)

• Submission Deadline : May 23, 2020(Final Call)
• Authors Notification : May 30, 2020
• Registration & Camera-Ready Paper Due: June 02, 2020

Contact us:

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

For other details please visit: https://csit2020.org/amla/index.html