Terms and Conditions

By submitting a manuscript to Computational Intelligence and Machine Learning, you agree with TRADA publishers terms and conditions. In particular, you certify that:

● you have the permission of all co-authors to pursue publication of the work in Computational Intelligence and Machine Learning,

● you are not infringing on anyone’s copyright with the material contained in your work,

● you will be fully liable for any charges resulting from copyright infringement, and

● you will not submit this work to any other publishing venue unless it is terminally rejected by Computational Intelligence and Machine Learning.

In addition, authors, referees and members of all boards of Computational Intelligence and Machine Learning commit to follow the Code of Conduct laid out here.

The above summary is just for informative purposes. The binding terms and conditions follow.

Table of contents:

1. Preamble and definitions

Access to Computational Intelligence and Machine Learning is subject to the following terms and conditions, which constitute a contract between Computational Intelligence and Machine Learning and any user. By engaging in any form of interaction with Computational Intelligence and Machine Learning or its members, the user accepts these terms and conditions in full.

We denote by "Computational Intelligence and Machine Learning" Computational Intelligence and Machine Learning is an Open Access journal, the journal Computational Intelligence and Machine Learning, the website www.cimachinelearning.com, and the online system provided to organize submission and peer review of works, as well as Computational Intelligence and Machine Learning’s social media accounts.

We denote by "user" any person accessing, using, exchanging, downloading, or submitting any type of content or information with, from and to Computational Intelligence and Machine Learning and all services it provides, interacting with Computational Intelligence and Machine Learning in any way, or holding or exercising any function within Computational Intelligence and Machine Learning.

A "work" submitted to Computational Intelligence and Machine Learning refers to the actual manuscript as publically available on the archives, as well as all supporting material, such as, but not limited to, appendices, supplementary information, a popular summary, datasets, computer code, images, plots, videos or other recordings that are transmitted or made available to Computational Intelligence and Machine Learning in order to assess the manuscript’s suitability for publication. This refers to both the manuscript and material present in the initial submission, as well as all further versions and additions of material in later resubmissions.

The "submitter" is anyone who carries out the submission of a work to Computational Intelligence and Machine Learning for publication, either through the provided online system or via email, and who is identified by their account in the online system or name and address used in the email. In case of multiple submitters, the definition applies in full to every single one of them.

2. Code of conduct

Computational Intelligence and Machine Learning fosters scientific integrity and ethical conduct. Consistent with the bylaws of Computational Intelligence and Machine Learning, its code of conduct upholds those values, detailing the ethical guidelines and expectations for participation in Computational Intelligence and Machine Learning. Authors, referees, editors, all board members and all other users of Computational Intelligence and Machine Learning are expected to act at all times in accordance with the principles and standards described in this code.

Unacceptable behaviour

In particular, the code of conduct specifies behaviour that Computational Intelligence and Machine Learning deems unacceptable, both in interactions with Computational Intelligence and Machine Learning and in professional life in general. This includes but is not limited to:

  1. Plagiarism and fabrication of data and results, including misrepresentation of contributions and authorship, selective reporting, failure to promptly correct errors, or theft of data and/or other research materials, as well as misrepresentation and overstatement of results and the omission of crucial conditions and assumptions.
  2. Publication (or submission for publication) of works submitted to or published in Computational Intelligence and Machine Learning to other publishing venues, unless the work is terminally rejected by Computational Intelligence and Machine Learning. "Other publishing venues" include other journals and conference proceedings, but exclude public pre-print servers such as the Archives of Computational Intelligence and Machine Learning and personal or institutional websites of the authors.
  3. Subversion of peer review, including failure to declare conflict of interest, failure to recuse under conflict of interest, misuse of information during review, unnecessarily delaying the peer-review process, violation of the anonymity of referees, premature solicitation of press coverage, corruption and/or bribery.
  4. Impersonation of other persons or entities, as well as unrightfully claiming the ownership of scientific titles, professional positions, or affiliations.
  5. Using Computational Intelligence and Machine Learning or any other system for the dissemination of scientific works to promote hate or discriminatory speech, or to infringe on the rights of others.
  6. Sharing of confidential information, such as the identity of reviewers, referee reports, and other internal correspondence to persons not involved in the peer-review process.
  7. Discrimination of any kind, such as on the basis of religion, disability, age, national origin, race, ethnicity, sexual orientation, gender identity, or gender expression. Discrimination includes the use of derogatory comments or slurs.
  8. The violation of public trust, including making false or misleading statements, to media, and misrepresentation to grant and/or funding agencies.

3. Submission and publication of works

Works submitted to Computational Intelligence and Machine Learning undergo the peer-review process following the Editorial Policies of Computational Intelligence and Machine Learning. This process ends with either the acceptance of the work for publication, or the terminal rejection of the work.

Responsibilities of the submitter

By submitting a work to Computational Intelligence and Machine Learning, the submitter warrants all of the following points and assumes full responsibility and liability for any costs and damages resulting directly or indirectly from any of them being untrue:

  1. The submitted work is an original creation of the authors listed on the manuscript, and all listed authors have made substantial contributions to the creation of the work.
  2. The submitter has the permission of all authors and all other copyright and intellectual property rights holders to pursue the publication of the work in Computational Intelligence and Machine Learning and to grant Computational Intelligence and Machine Learning all the rights specified in these terms and conditions.
  3. The manuscript is publicly accessible on the Archives in the www.cimachinelearning.com, website.
  4. The work has not been previously published in any other journal or publishing venue, except in conference proceedings and on public pre-print servers such as the archives of Computational Intelligence and Machine Learning journal or the authors’ personal or institutional websites.
  5. The submitter has obtained permissions to grant Computational Intelligence and Machine Learning journal the rights specified in these terms and conditions for all material contained in the work and has included appropriate credits and prominently marked or indicated any rights held by third parties.
  6. The submitter has clearly informed Computational Intelligence and Machine Learning at the time of submission of any parts of the work which, due to copyright or other constraints, cannot be published in the Computational Intelligence and Machine Learning journal.
  7. In case of acceptance, the final published version of the work will be uploaded on the Archives of the Computational Intelligence and Machine Learning website.
  8. In case of acceptance and publication in Computational Intelligence and Machine Learning, the work will not be submitted to other publishing venues, such as journals or conference proceedings.

4. Further aspects

Disclaimer of warranty

There is no warranty for the services provided by Computational Intelligence and Machine Learning, to the extent permitted by applicable law. Except when otherwise stated in writing, the copyright holders and/or other parties provide these services "as is" without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose or future availability. The entire risk as to the quality and performance of the services is with the user. Should the services prove defective, the user assumes the cost of all damages incurred.

Limitation of liability

In no event, unless required by applicable law or agreed to in writing, will Computational Intelligence and Machine Learning be liable to any user for damages, including any general, special, incidental or consequential damages arising out of the use or inability to use the services provided by Computational Intelligence and Machine Learning, even if Computational Intelligence and Machine Learning has been advised of the possibility of such damages.

External content

Links to other works, websites, or other documents, including but not limited to hyperlinks on the website www.cimachinelearning.com as well as in manuscripts published by Computational Intelligence and Machine Learning, may link to content that is beyond the control of Computational Intelligence and Machine Learning. Computational Intelligence and Machine Learning hence does not assume any kind of responsibility or liability for the content to which such links point or transmissions that can be received through them.

Infringement notification

In case you believe that any material published by Computational Intelligence and Machine Learning infringes on your copyright or intellectual property rights in any way, you must contact in writing to the editor@cimachinelearning.com

Logos, images and materials created by Computational Intelligence and Machine Learning

The term "Computational Intelligence and Machine Learning" and the Computational Intelligence and Machine Learning logo are a registered trademark of the TRADA for the publishing of scientific papers, electronic publishing, the publishing of journals, and several other categories of goods and services.

All other company and product names, logos, trademarks, registered trademarks, and brands are property of their respective owners. All such company, product and service names used in this website are for identification purposes only. Use of these names, logos, and brands does not imply endorsement.

Right to modify terms and conditions

Computational Intelligence and Machine Learning retains the right to modify these terms and conditions following consultation with the Steering Board. All submitters of works undergoing peer-review at the time of change must be notified if affected by the changes. Submitters are always bound to the version of these terms and conditions at the time of the last (re-)submission.

These terms and conditions, as well as the Editorial Policies of Computational Intelligence and Machine Learning, are published under a Creative Commons "No Rights reserved" licence. Sharing, tweaking and reuse of these policies is allowed and encouraged. If you adapt them to other projects, we would love to hear from you.