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4th International Conference on Information Theory and Machine Learning (ITEORY 2026)

14 – 15 Nov 2026·Australia

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  4. 4th International Conference on Information Theory and Machine Learning (ITEORY 2026)

4th International Conference on Information Theory and Machine Learning (ITEORY 2026)

14 Nov 2026 · Melbourne

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Investigación y desarrolloInformática

4th International Conference on Information Theory and Machine Learning (ITEORY 2026)

4th International Conference on Information Theory and Machine Learning (ITEORY 2026)

  • Fecha

    14 - 15 November 2026

  • Ubicación

    Melbourne, Australia

  • Tipo de evento

    Conferencias y cumbres

  • Formato de entrega

    Híbrido (presencial y en línea)

Registrarse para asistirÚnase al evento
Logo 4th International Conference on Information Theory and Machine Learning (ITEORY 2026)

4th International Conference on Information Theory and Machine Learning (ITEORY 2026)
November 14 ~ 15, 2026, Melbourne, Australia
https://comsap2026.org/iteory/index

Scope

4th International Conference on Information Theory and Machine Learning (ITEORY 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. 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 area soft Information Theory, Applications and Machine Learning.

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 Computer Science, Engineering and Applications.

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

·       Big Data Analytics, Data Science

·       Coded Modulation, Data Compression, Sequences

·       Communications and Networks

·       Deep Learning for Communications

·       Detection and Estimation of Mobile Communications

·       Emerging Applications of Information Theory

·       Information Theory in Statistics , Biology, Computer Science

·       Learning and Inference

·       Machine Learning

·       Multi-User Information Theory

·       Optical Communications Complexity and Cryptography

·       Pattern recognition and Learning

·       Quantum Theory and Coding

·       Shannon Theory, Coding Theory and Techniques

·       Signal Processing, Speech/Image Coding

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 15, 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 ITEORY 2026, after further revisions, will be published in the special issues of the following journals

·       Machine Learning and Applications: An International Journal (MLAIJ)

·       International Journal on Computational Science & Applications (IJCSA)

·       International Journal in Foundations of Computer Science & Technology (IJFCST)

·       International Journal of Computational Science and Information Technology (IJCSITY)

·       International Journal on Information Theory (IJIT)

·       Advanced Computational Intelligence: An International Journal (ACII)

·       International Journal on Natural Language Computing (IJNLC)

·       Information Technology in Industry (ITII)

Important Dates

·       Submission Deadline : August 15, 2026

·       Authors Notification : October 17, 2026

·       Registration & Camera-Ready Paper Due : October 24, 2026

Contact Us

Here's where you can reach us : iteory@comsap2026.org or iteoryconfe@gmail.com

Paper Submission Link: https://csitai2026.org/submission/index.php

For More Details: https://comsap2026.org/iteory/index

Please reply with subject “unsubscribe” if you wish to remove your email from our mailing list

 

 

 

 

 

 

 

Networking

4th International Conference on Information Theory and Machine Learning (ITEORY 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. 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 area soft Information Theory, Applications and Machine Learning.

Objetivos de aprendizaje

4th International Conference on Information Theory and Machine Learning (ITEORY 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. 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 area soft Information Theory, Applications and Machine Learning.

Certificación

4th International Conference on Information Theory and Machine Learning (ITEORY 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Information Theory. 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 area soft Information Theory, Applications and Machine Learning.

Precios e inscripción

Costo de asistencia

$100-500

USD por asistente

Registrarse para asistir

Precios e inscripción

Costo de asistencia

$100-500

USD por asistente

Registrarse para asistir

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Ubicación y sede del evento

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Melbourne, Australia

Ubicación

Melbourne, Australia

Melbourne, Australia

Fecha y hora

14 - 15 November 2026

09:00 – 17:00

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