5th International Conference on Machine Learning Techniques (MLTEC 2024)

November 09 ~ 10, 2024, Melbourne, Australia


Hybrid -- Registered authors can present their work online or face to face New

Scope & Topics


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).

Submit

Important Dates

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Second Batch : (Submissions after September 30, 2024)

Submission Deadline : October 05, 2024

Authors Notification : October 31, 2024

Registration & Camera-Ready Paper Due : November 05, 2024

Courtesy

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Invited Talk





Supported by

IJCNC

Proceedings


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





Speakers



Hanna Abi Akl
Data ScienceTech Institute
France