About the Role:
As a valued member of our editorial team, you will play a crucial role in shaping the direction and growth of our journal, Current Machine Learning. Your expertise and input will be instrumental in selecting topics, reviewers, and authors, ensuring that our publications are of the highest quality and relevance to the field.
You will contribute to the development of Special Thematic Issues on cutting-edge topics, fostering innovation and collaboration within the machine learning community. Your extensive experience in peer-reviewing, editing, and writing research papers will be invaluable in evaluating submissions and providing constructive feedback.
In addition to your editorial responsibilities, you will have the opportunity to publish your own research and thematic issues free of cost, allowing you to share your knowledge and insights with the global academic community.
Benefits of Being an Editorial Board Member:
* Savings on APCs for publishing your research
* Access to new research and review papers as they are submitted, keeping you up-to-date with the latest trends in machine learning
* Numerous opportunities to collaborate with professionals and scholars from diverse backgrounds and disciplines
About the Journal:
Current Machine Learning is a premier international journal that publishes critical reviews, original research, and methodology articles on various aspects of machine learning. Our aim is to provide a comprehensive and reliable source of information on current advances and future perspectives in machine learning. Some areas of interest include Active Learning, Adversarial Machine Learning, Anomaly Detection, and many more.
We are committed to publishing high-quality content that pushes the boundaries of knowledge in machine learning. If you are passionate about contributing to the advancement of this field and sharing your expertise with the world, we invite you to join our editorial team as an Editorial Board Member.