2023 8th International Conference on Machine Learning Technologies (ICMLT 2023) is going to take place at Stockholm, Sweden during March 10-12, 2023 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.
Machine Learning usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, multimedia, among others. Thus, Signal Processing techniques are very useful for these type of systems to automate processing and analysis techniques to retrieve information from data storage. Topics will range from foundations for real-world systems, and processing, such as speech, language analysis, biomedicine, convergence and complexity analysis, machine learning, social networks, sparse representations, visual analytics, robust statistical methods.
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
