What is Copyrights?
● Copyright is a type of intellectual property which protects certain sorts of original creative work, including academic articles. Copyright allows the creator of a work to decide whether, and under what conditions, their work may be used, published and distributed by others. As such, it governs how others can use, publish and distribute articles.
● Understanding your copyright options as an author is becoming ever more important, especially with the growth of open access publishing.
Copyrights At Computational Intelligence and Machine Learning
As a user, you have the right to request To publish an article and make it available, we need publishing rights from you for that work. We therefore ask authors for publishing in Computational Intelligence and Machine Learning to sign an author contract which grants us the necessary publishing rights. This will be after your manuscript has been through the peer-review process, been accepted and moves into publishing. Our Publication team will then send you an email with all the details.
To protect the rights and interests of both parties, Computational Intelligence and Machine Learning requires an exclusive licence that clearly stipulates our rights and the specific rights retained by authors. We ask the corresponding author to grant this exclusive licence to Computational Intelligence and Machine Learning on behalf of all authors. Computational Intelligence and Machine Learning agrees to publish the manuscript and has the right:
- to publish, reproduce, distribute, display and store the manuscript
- to translate the manuscript into other languages
- to create adaptations, reprints, and create summaries, extracts and/or, abstracts of the manuscript
- to create any other derivative work(s) based on the manuscript
- to include electronic links from the manuscript to third party material
- to license any third party to do any or all of the above
- to authorize Computational Intelligence and Machine Learning to take legal proceedings in the copyright owner's name and on the author(s)' behalf if the author(s)' believe that a third party is infringing or is likely to infringe copyright in the manuscript.
In our standard author contract, you transfer – or "assign" – copyright to us as the owner and publisher of the journal .
Assigning the copyright enables us to:
- Effectively manage, publish and make your work available to the academic community and beyond.
- Act as stewards of your work as it appears in the scholarly record.
- Handle reuse requests on your behalf.
- Take action when appropriate where your article has been infringed or plagiarized.
- Increase visibility of your work through third parties.
Permission for Authors
Authors are allowed to use their own articles for non-commercial purposes without seeking permission from Computational Intelligence and Machine Learning. For commercial use we need to know about it. Authors retain the following right to:
- Post a PDF of their article to fellow researchers for educational purposes only;
- Make a reasonable number of copies for personal or non-commercial use. This includes the contributor's own teaching purposes;
- Republish part or all of the article in a book or other publication edited by the author (except for multiple contributions in the same book or publication);
- Use the illustrations and research data in their own future works;
- Use the article in course packs in the authors institution. This does not apply if a commercial charge is made for the compilation or training programme;
- Use the work for further research and presentations at meetings;
- to authorize Computational Intelligence and Machine Learning to take legal proceedings in the copyright owner's name and on the authors's name. Reuse all or part of the published manuscript in other works for non-commercial purposes, the original publication in the Computational Intelligence and Machine Learning must be approved through a note or citation in a format acceptable to Computational Intelligence and Machine Learning.
Open Access Articles
Computational Intelligence and Machine Learning (CIML ) is committed to real and immediate open access for published articles. All of the CIML articles are free to access immediately from the date of publication. There are no charge for any reader to download articles