Machine Learning and Knowledge Extraction (MAKE)

Machine Learning and Knowledge Extraction (MAKE) ( is an inter-disciplinary, cross-domain, peer-reviewed, scholarly open access journal to provide a platform to support the international machine learning community. It publishes original research articles, reviews, tutorials, research ideas, short notes and Special Issues that focus on machine learning and applications. Papers which deal with fundamental research questions to help reach a level of useable computational intelligence are very welcome.

The journal is free for readers and free publication for well-prepared manuscripts submitted in 2018 and 2019.