CONF-MLA 2023 - The International Conference on Machine Learning and Automation (CONF-MLA 2023)

The International Conference on Machine Learning and Automation (CONF-MLA 2023)
Date: 2023.10.18
Location: Oxford, UK (Online, multi-sited) Chicago
Website: https://www.confmla.org
Event enquiries：info-AT-confmla.org
Submission Deadline: 2023.10.11 (Submission email: submission-AT-confmla.org)
Organizing society: Eliwise Academy
Key Words: Machine Learning, Automation, Robotics and Intelligent Systems,
Introduction：
The International Conference on Machine Learning and Automation (CONF-MLA 2023) is a platform for the presentation of original research findings under relevant topics. It brings together professionals and encourages collaboration for the development of engineering and machine learning applications. Scientists and practitioners, especially young researchers, are welcome to share and discuss their latest progress, experiences, and inspirations in computing-related fields.
CONF-MLA 2023 looks for high-quality research discoveries, interdisciplinary studies, and state-of-the-art applications in various sectors of engineering and technology. The goal of this conference is to promote international academic discussion and cooperation in both theoretical and practical aspects. The speeches and papers in CONF-MLA 2023 hope to draw inspiration for further research in relevant fields.
CALL FOR PAPERS
We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning, artificial Intelligence and data science. The topics of interest include but are not limited to Machine Learning, Automation, and Robotics and Intelligent System.
To view the complete topic list, please check https://www.confmla.org/topics.html.
Publication
Papers accepted by CONF-MLA will be published in conference proceedings and will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, Portico, Google Scholar, and other databases for indexing.