7th International Conference on Machine Learning Techniques (MLTEC 2026)

Memo

7th International Conference on Machine Learning Techniques (MLTEC 2026) December 19 ~ 20, 2026, Sydney, Australia https://mltec.org Scope 7th International Conference on Machine Learning Techniques (MLTEC 2026) 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  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 XML and Databases   Paper Submission Authors are invited to submit papers through the conference Submission System by July 31, 2026 . 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 2026, 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) Important Dates Submission Deadline : July 31, 2026 Authors Notification : October 10, 2026 Registration & Camera-Ready Paper Due : October 17, 2026 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.