2023 International Conference on Machine Learning and Knowledge Engineering 2023 (ICMLKE 2023) will be held in Changsha, China on June 16-18, 2023. The conference will focus on the latest research achievements in the field of machine learning and knowledge engineering theory and application, and provide an authoritative international exchange platform for researchers in related fields, so as to promote good academic exchanges among scholars in related fields. It also provides global partners to establish business and scientific cooperation around the world.

Machine learning, as a multidisciplinary interdisciplinary subject, has become a common research focus in the field of artificial intelligence and pattern recognition, and its theories and methods have been widely applied to solve complex problems in engineering applications and scientific fields. Knowledge engineering, as a new engineering technology subject, has a broad prospect in the fields of communication, education and control system, which are combined by electronic computer and modern communication technology.

The main topics of this conference include: artificial intelligence, big data analysis, deep learning, intelligent software, knowledge engineering in natural language, etc.

• Full Paper Submission Deadline: April 25, 2022

• Notification of Acceptance Deadline: May 17, 2023
  

• Registration Deadline: May 25, 2023

• Final Paper Submission Deadline: June 2, 2023

• Conference Date:  June 16-18, 2023

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.

Note: All submitted articles should report original results, experimental or theoretical, not previously published or being under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.