International Conference on Machine Learning & Trends (MLT 2020)

MLT 2020


Artificial Intelligence Manufacturing & Machinery Mechanical Engineering



International Conference on Machine Learning & Trends (MLT 2020)



July 11~12, 2020, Toronto, Canada



           https://icaita2020.org/mlt/index.html



Scope & Topics



 



International Conference on Machine Learning & Trends (MLT 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & its Trends. 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 & its Trends.



Topics of interest include, but are not limited to, the following:




  • Applications

  • Learning in knowledge-intensive systems

  • Learning Methods and analysis

  • Learning Problems

  • Trends



Paper Submission



 



Authors are invited to submit papers through the conference Submission System by June 27, 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 MLT 2020, after further revisions, will be published in the special issue of the following journal.





Important Dates


 



  • Submission Deadline : June 27, 2020

  • Authors Notification :  July 04, 2020

  • Registration & Camera-Ready Paper Due : July 07, 2020



 



 



Contact Us



 



Here's where you can reach us: mlt@icaita2020.org or mltconf@yahoo.com



 



Paper Submission Link: https://icaita2020.org/submission/index.php