Transactions on Machine Learning and Artificial Intelligence

Transactions on Machine Learning and Artificial Intelligence (TMLAI) is a peer-reviewed open access bi-monthly, on-line journal that provides a medium of the rapid publication of original research papers, review articles, book reviews and short communications covering all areas of machine learning and artificial Intelligence. TMLAI is published by the Society for Science and Education, United Kingdom which is an on-line publishing organization that supports the Bethesda Statement on Open Access Publishing.

The journal publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in machine learning, artificial intelligence, numan computer interaction, cognitive science, software engineering, database systems, data mining, big data, soft computing, optimization and modelling and all of their related application areas.

 Your Benefits

• Rapid publication: Through on-line submission system and competitive peer-review times


• Online First : Accepted manuscripts published on-line within 5 days of acceptance, with DOIs for immediate citation


• High Visibility: Will be indexed/listed in CrossRef, DOI, Scopus, Ulrichsweb, DBLP, arXiv, CiteSeer,  Google scholar and other major indexing databases.


• Persistent Archival: Will be archived in CLOCKSS to ensure long-term preservation of digital journal content


• Copyright: All the articles in SSE journals remain copyrighted with the authors (Author Rights).


• Low Cost: Ample discount for the researchers from developing countries (Article Publishing Fee).


• Established titles with state-of-the-art electronic publishing using on-line reading tools.

Your Contributions

Authors can contribute with articles that illustrate

• Research Results


• Projects / Applications


• Methodologies / Algorithms


• Surveys / Scholarly Reviews


• Case Studies


• Industrial experiences


• Book Reviews.