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Babylonian Journal of Machine Learning

Plagiarism Policy

authors are advised to observe high standards in the aspect of publication ethics. Any plagiarism (fabrication or falsification of data) are strictly unacceptable practices in BJML, including duplicate publication of the author’s work without proper citation.

Every manuscript submitted for publication is checked for plagiarism via Turnitin after submission and before being sent to the editor for editorial review. Any detection of overlapping and similar texts in the manuscripts submitted will be investigated promptly and may lead to the manuscript being rejected.