Editorial Policies

Focus and Scope

Research and real-world practices of machine learning and its application.

 

Section Policies

Editorial

Unchecked Open Submissions Checked Indexed Unchecked Peer Reviewed

Original Research

Checked Open Submissions Checked Indexed Checked Peer Reviewed

Review Article

Checked Open Submissions Checked Indexed Checked Peer Reviewed

Opinion Article

Checked Open Submissions Checked Indexed Checked Peer Reviewed
 

Peer Review Process

All manuscripts submitted to the journal were subjected to anonymous review by at least two expert referees, selected by the Editor from the panel of referees.

 

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

 

Archiving

This journal utilizes the LOCKSS system to create a distributed archiving system among participating libraries and permits those libraries to create permanent archives of the journal for purposes of preservation and restoration. More...