Submissions

Author Guidelines

Before Submission

Authors should submit manuscripts that fit the journal scope and are not under consideration by another journal. The title page should include all author names and affiliations, corresponding author contact details, funding information, competing interests, data availability, ethics approval details where relevant, and author contributions.

Article Types and Length

Machine Learning and Applied Artificial Intelligence may consider application studies, deployment reports, benchmark papers, methods papers, negative results, and reviews. The journal does not set a rigid launch-stage word limit, but authors should match article length to evidence. Short reports must still contain enough method detail for evaluation; reviews must state their search or selection logic.

Manuscript Structure

Research articles should normally include:

• title, abstract, keywords, and a concise statement of the research gap
• methods or study design with enough detail for assessment
• results presented without selective reporting
• discussion that separates evidence from interpretation
• limitations, data availability, author contributions, competing interests, funding, and references

For this journal, authors should additionally address problem formulation, training data suitability, and baseline and deployment context. Manuscripts that use specialised reporting standards should include the relevant checklist as supplementary material.

Required Statements

Each submission should include:

• dataset rights
• code or model availability
• AI disclosure
• risk assessment
• conflicts of interest

Data, Code, Materials, and Supplementary Files

Authors should provide enough data, code, model configuration, and deployment context for reviewers to evaluate the claim even when proprietary data cannot be released. Suitable supplementary material may include source code, model settings, evaluation sheets, deployment checklists, and risk statements. Files should be named clearly, cited from the manuscript, and versioned where possible.

Formatting and References

The launch office may accept Word, LaTeX, or OJS-compatible source files. References may be submitted in any complete style; final files should normalise model, dataset, and software citations. Figures should be readable at single-column width, tables should be editable where possible, and abbreviations should be defined at first use.

Research Integrity and AI Use

Authors must identify prior dissemination, preprints, related submissions, reused figures, and any third-party material. Use of generative AI tools must be disclosed when they materially assisted drafting, coding, image generation, translation, data extraction, or analysis. AI tools cannot be listed as authors.

Editorial Screening

Submissions may be returned before review if they are outside scope, lack required statements, contain excessive overlap, use unverifiable data, or do not meet minimal scholarly standards for applied machine learning. In particular, submissions may be returned if they report only accuracy without domain context, omit baselines, or describe a commercial tool without evaluable evidence.

Submission Preparation Checklist

All submissions must meet the following requirements.

• This submission meets the requirements outlined in the Author Guidelines.
• This submission has not been previously published, nor is it before another journal for consideration.
• All references have been checked for accuracy and completeness.
• All tables and figures have been numbered and labeled.
• Permission has been obtained to publish all photos, datasets and other material provided with this submission.

Copyright Notice

Copyright

Authors retain copyright in their articles unless a different arrangement is agreed in writing. By submitting to the journal, authors grant the publisher the right to publish, distribute, preserve, and identify the article as the version of record.

Default Licence

CC BY 4.0 for articles; software may use an open-source licence chosen by the authors and stated in the article. The exact licence must be displayed on every article landing page and PDF. Licence text should not be hidden in a general policy page only.

Third-Party Material

Authors are responsible for obtaining permission for figures, tables, images, survey instruments, maps, screenshots, standards excerpts, media, or substantial text reused from third-party sources when the intended licence does not cover that reuse. Captions should identify any material that is not under the article's default licence.

Data, Code, and Artifact Licences

Supporting materials may need licences different from the article licence. Authors should state the licence or access condition for source code, model settings, evaluation sheets, deployment checklists, and risk statements. Restricted access should be justified by privacy, safety, contractual, cultural, legal, or commercial reasons.

Metadata

Article metadata may be distributed to discovery services, DOI registration agencies, libraries, preservation services, and indexing databases when applicable. Metadata distribution does not imply database indexing unless indexing has been confirmed by the database.

Permissions Questions

Permissions questions should be directed to the editorial office before publication where possible. After publication, requests should identify the article title, DOI or URL if available, material requested, intended reuse, and format.

Privacy Statement

Data Collected Through OJS

The journal may collect names, affiliations, email addresses, ORCID iDs, manuscript files, reviewer reports, editorial correspondence, decision letters, metadata, and files required to manage peer review and publication.

Field-Specific Data

For applied machine learning, editorial files may include training records, validation data, user feedback, deployment logs, and commercial confidentiality claims. Authors should not upload identifiable, confidential, or controlled data unless the journal has explicitly requested it and the upload is lawful.

Use of Information

Personal data will be used for editorial workflow, peer review, publication, indexing preparation, preservation, audit trails, ethics investigations, and communication related to manuscripts or journal operations. Data should not be sold or used for unrelated marketing.

Reviewer and Author Confidentiality

Reviewer identities and reports should be handled according to the journal's peer-review model. Confidential review material must not be shared outside the editorial process unless required by an investigation, law, or explicit consent.

Retention

Editorial records should be retained long enough to support publication ethics investigations, corrections, appeals, audit needs, and legal obligations. The final retention period should be confirmed by the publisher before launch.

Security and Access

Access to OJS administrative accounts should be limited to authorised staff and editors. Passwords, reviewer files, unpublished manuscripts, and correspondence should not be shared through uncontrolled channels.

Contact

Privacy questions may be sent to [info@mlai-journal.com](mailto:info@mlai-journal.com). The final public website should also name the legal privacy contact once publisher registration details are confirmed.

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