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

Scope & Topics

7^th 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 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
XML and Databases

Paper Submission

Authors are invited to submit papers through the conference Submission System by .

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).

Submit

Selected papers from MLTEC 2026, after further revisions, will be published in the special issues of the following journals