call for papers - machine learning research

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call for papers - machine learning research

john .

Machine Learning and Applications: An International Journal (MLAIJ)

ISSN : 2394 - 0840

http://airccse.org/journal/mlaij/index.html

Scope & Topics

Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.

Topics of interest

  • Applications

  • Learning in knowledge-intensive systems

  • Learning Methods and analysis

  • Learning Problems

Paper Submission

Authors are invited to submit papers for this journal through E-mail : [hidden email]. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

  • Submission Deadline     : December 15, 2018

  • Acceptance Notification : January 15, 2019

  • Final Manuscript Due    : January 23, 2019

  • Publication Date        : Determined by the Editor-in-Chief


Submission Link :  http://coneco2009.com/submissions/imagination/home.html



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Re: call for papers - machine learning research

Eibe Frank-3
Not sure how this call for submissions made it through to the mailing list. To make things worse, the publisher of this journal, a journal which looks pretty dubious to be honest, is listed at


Regardless, as a general rule, calls for papers, etc., should not be posted to the list.

Cheers,
Eibe

On Sun, Dec 23, 2018 at 4:36 PM john . <[hidden email]> wrote:

Machine Learning and Applications: An International Journal (MLAIJ)

ISSN : 2394 - 0840

http://airccse.org/journal/mlaij/index.html

Scope & Topics

Machine Learning and Applications: An International Journal (MLAIJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the machine learning. The journal is devoted to the publication of high quality papers on theoretical and practical aspects of machine learning and applications.The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on machine learning advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of machine learning.

Topics of interest

  • Applications

  • Learning in knowledge-intensive systems

  • Learning Methods and analysis

  • Learning Problems

Paper Submission

Authors are invited to submit papers for this journal through E-mail : [hidden email]. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

  • Submission Deadline     : December 15, 2018

  • Acceptance Notification : January 15, 2019

  • Final Manuscript Due    : January 23, 2019

  • Publication Date        : Determined by the Editor-in-Chief


Submission Link :  http://coneco2009.com/submissions/imagination/home.html


_______________________________________________
Wekalist mailing list
Send posts to: [hidden email]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/mailman/listinfo/wekalist
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html

_______________________________________________
Wekalist mailing list
Send posts to: [hidden email]
To subscribe, unsubscribe, etc., visit https://list.waikato.ac.nz/mailman/listinfo/wekalist
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html