ACM–2022 7th International Conference on Machine Learning Technologies (ICMLT 2022)

2022 7th International Conference on Machine Learning Technologies (ICMLT 2022) is going to take place at Rome, Italy during March 11-13, 2022 which will offer an ideal platform for presentation, discussion, criticism, exchange of innovative ideas and current challenges in the field of machine learning technologies.

The main theme of the conference is to address and deliberate on the latest technical status and recent trends in the research and applications of machine learning technologies. The purpose of the conference is to provide an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference is also aimed at motivating the next generation of researchers to promote their interests in machine learning technologies.

Important: Given the on-going Covid-19 pandemic, there is currently uncertainty in the format of the Conference. However, the safety of our speakers and attendees will remain of paramount concern. Thus, we will be fully prepared to deliver a virtual conference.

Publication

All the registered and presented papers will be published into Conference Proceedings by ACM (978-1-4503-9574-8), which will be submitted for Ei Compendex, Scopus, and other databases.

ICMLT 2021 丨ACM Digital Library丨 ISBN: 978-1-4503-8940-2 丨Ei Compendex and Scopus
ICMLT 2020 丨ACM Digital Library丨 ISBN: 978-1-4503-7764-5 丨Ei Compendex and Scopus
ICMLT 2019 丨 ACM Digital Library丨ISBN: 978-1-4503-6323-5 丨Ei Compendex and Scopus
ICMLT 2018 丨 ACM Digital Library丨ISBN: 978-1-4503-6323-5 丨 Ei Compendex and Scopus

Important Dates

Submission Deadline:January 05, 2022
Acceptance Notification:January 25, 2022   
Registration Deadline:February 10, 2022   
Conference Date:March 11-13, 2022

Topics

Authors are invited to submit full papers describing original research work in areas including, but not limited to:

• Adaptive systems
• Business intelligence
• Biometrics
• Bioinformatics
• Data and web mining
• Intelligent agent
• Financial engineering
• Inductive learning
• Geo-informatics
• Pattern Recognition
• Logistics
• Intelligent control
• Media computing

• Neural net and support vector machine
• Hybrid and nonlinear system
• Fuzzy set theory, fuzzy control and system
• Knowledge management
• Information retrieval
• Intelligent and knowledge based system
• Rough and fuzzy rough set
• Networking and information security
• Evolutionary computation
• Ensemble method
• Information fusion
• Visual information processing
• Computational life science


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