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

SCOPE

4th International Conference on Machine Learning Techniques (MLTEC 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications 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
Paper Submission

Authors are invited to submit papers through the conference Submission System by December 09, 2023(Final Call). 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 2023, after further revisions, will be published in the special issue 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

    Second Batch : (Submissions after November 04, 2023)


    calendar_todaySubmission Deadline : December 09, 2023(Final Call)

    calendar_todayAuthors Notification : December 14, 2023

    calendar_todayRegistration & Camera-Ready Paper Due : December 15, 2023
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    CONFERENCE PROCEEDINGS


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

    Speakers


    Marco Landt-Hayen
    Christian-Albrechts-Universit├Ąt zu Kiel
    Germany


    Mahmood Khalsan
    The University of Northampton
    UK


    Irma Ibrisimovic
    University of Tuzla
    Bosnia and Herzegovina

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    Reach Us

    emailmltec@csea2023.org


    emailmltecconf@gmail.com

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