MLN 2019 : Second IFIP International Conference on Machine Learning for Networking

  in Conferences   Posted on June 21, 2019

Conference Information

Submission Deadline Monday 16 Sep 2019 Proceedings indexed by :
Conference Dates Dec 3, 2019 - Dec 5, 2019
Conference Address Paris, France
Conference & Submission Link http://www.adda-association.org/mln-2019/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

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CALL FOR PAPERS

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Second IFIP International Conference on

Machine Learning for Networking

— MLN\’2019 —

Technically co-sponsored by IFP WG 6.2

Paris, France, December 3-5, 2019

http://www.adda-association.org/mln-2019/

MLN 2019 is the second edition of the International Conference on Machine

Learning for Networking. The goal of the conference is to provide a forum for

scientists, engineers and researchers to discuss and exchange novel ideas,

results, experiences and work-in-process on all aspects of Machine Learning and

Networking. Each year, MLN attendees will appreciate and benefit from

multidisciplinary exchanges on these hot topics. MLN 2019 will be held from

December 3rd to December 5th 2019, in Paris, France.

Authors are invited to submit complete unpublished papers, which are not under

review in any other conference or journal, to

https://easychair.org/conferences/?conf=mln2019

The accepted papers wil be published as a post-proceedings in Springer\’s LNCS.

Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference

Proceedings Citation Index – Science (CPCI-S), included in ISI Web of Science,

EI Engineering Index (Compendex and Inspec databases), ACM Digital Library,

dblp, Google Scholar, Scopus, etc.

Selected papers will be further considered for possible publication in a Special

Issue of Annals of Telecommunications.

The topics of this track include, but are not limited to:

* Deep and Reinforcement learning

* Pattern recognition and classification for networks

* Machine learning for network slicing optimization

* Machine learning for 5G system

* Machine learning for user behavior prediction

* New innovative machine learning methods

* Optimization of machine learning methods

* Performance analysis of machine learning algorithms

* Experimental evaluations of machine learning

* Data mining in heterogeneous networks

* Machine learning for multimedia

* Machine learning for Internet of Things

* Machine learning for security and protection

* Distributed and decentralized machine learning algorithms

* Intelligent cloud-support communications

* Intelligent resource allocation

* Intelligent energy-aware/green communications

* Intelligent software defined networks

* Intelligent cooperative networks

* Intelligent positioning and navigation systems

* Intelligent wireless communications

* Intelligent wireless sensor networks

* Intelligent underwater sensor networks

Position papers are also welcome and should be clearly marked as such.

Important dates

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Paper submission: September 16, 2019

Notification of acceptance: October 14, 2019

Final manuscripts due: October 28, 2019

Conference: December 3-5, 2019

Submission

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Submissions must not be published or submitted to a journal and/or conference /

workshop with proceedings. All submissions should be anonymous (i.e., no author

names/affiliations and obvious citations). Submissions are to be made to the

submission web site:

https://easychair.org/conferences/?conf=mln2019

The accepted papers wil be published as a post-proceedings in Springer\’s LNCS.

Only pdf files are accepted. Submissions not meeting the above guidelines will

be rejected without other consideration. The camera-ready version of accepted

papers will have to follow the Springer guidelines for publication in the

Lecture Notes in Computer Science series.

Authors of accepted papers must present their papers at the conference. At least

one author of each accepted paper is required to register and present the paper.

Best paper award

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All papers are eligible for the best paper award. The award will be announced at

the conference.

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