About the Journal

Founded in 2026 and published by WeaveCore Academic Press LLC (United States), the Journal of Machine Learning Advances (JMLA) is a fully open-access, peer-reviewed journal dedicated to advancing research at the intersection of machine learning, artificial intelligence, and real-world applications.

JMLA provides a high-quality platform for researchers worldwide to disseminate original, rigorous, and impactful contributions in all areas of machine learning, including its theoretical foundations, methodological innovations, and practical implementations.

The journal adheres to the highest standards of publication ethics (COPE-compliant) and open science principles. All submissions undergo rigorous double-blind peer review. Articles are published under Creative Commons CC BY 4.0 (or author-chosen variants) with no subscription barriers.

Scope

• Machine learning and AI methodologies
• Ethics, fairness, bias mitigation, and privacy-preserving techniques
• Federated learning, foundation models, multimodal AI, and emerging technologies

The journal aims to bridge theoretical innovations and practical implementations in the field of machine learning and artificial intelligence.

Open Access Policy

All content is freely available without charge to users and institutions. Authors retain copyright and grant broad reuse rights under the chosen Creative Commons license.