Welcome to MLTEC 2022

3rd International Conference on Machine Learning Techniques (MLTEC 2022)

November 19 ~ 20, 2022, Zurich, Switzerland

Program Committee

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Accepted Papers

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Venue

Zurich, Switzerland

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Scope

3rd International Conference on Machine Learning Techniques (MLTEC 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.


Call for Papers


3rd International Conference on Machine Learning Techniques (MLTEC 2022) 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 following areas, but are not limited to.

Topics of interest include, but are not limited to, the following


  • 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
  • Neural Networks / Deep Learning
  • ML for NLP
  • Ubiquitous Machine Learning
  • Computer Vision
  • Bayesian Network
  • Data Mining

Paper Submission

Authors are invited to submit papers through the conference Submission System by July 16, 2022. 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).

Important Dates
Submission Deadline

July 16, 2022

Authors Notification

September 25, 2022

Registration & camera - Ready Paper Due

October 04, 2022

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Sponsors