International Conference on Machine Learning & Applications (CMLA 2019)

Memo

November 23 ~ 24, 2019, Zurich, Switzerland https://cseit2019.org/cmla/index.html Scope & Topics International Conference on Machine Learning & Applications (CMLA 2019) 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 Internet of Things. Topics of interest include, but are not limited to, the following: Applications Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Paper Submission Authors are invited to submit papers through the conference Submission System by November 02, 2019. 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 2019, 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 Submission Deadline : November 02, 2019 (Final Call)  Authors Notification : November 12, 2019 Registration & Camera-Ready Paper Due : November  15, 2019 Contact Us Here's where you can reach us: This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it. For more details, please visit: https://cseit2019.org/cmla/index.html Paper Submission Link: https://cseit2019.org/submission/index.php