5th International Conference on Machine Learning Techniques (MLTEC 2024) November 09 ~ 10, 2024, Melbourne, Australiahttps://csea2024.org/mltec/index Scope 5th International Conference on Machine Learning Techniques (MLTEC 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Machine Learning Techniques. Topics of interest include, but are not limited to, the following: Bayesian Network Computer Vision Data Mining Deep Learning Learning in knowledge-intensive systems Learning Methods and analysis Learning Problems Machine Learning Applications Machine Learning models and applications Machine Learning Recommender systems Machine Translation ML for NLP Neural Networks / Deep Learning Ubiquitous Machine Learning Paper Submission Authors are invited to submit papers through the conference Submission System by October 05, 2024. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from MLTEC 2024, after further revisions, will be published in the special issues of the following journals International Journal of Artificial Intelligence & Applications (IJAIA) Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Ubiquitous Computing (IJU) Advances in Vision Computing: An International Journal (AVC) Importent Dates Submission Deadline : October 05, 2024 Authors Notification : October 31, 2024 Registration & Camera-Ready Paper Due : November 05, 2024 Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.