posted by user: Boumerdassi || 1237 views || tracked by 2 users: [display]

MLN 2020 : 3rd International Conference on Machine Learning for Networking (MLN'2020)

FacebookTwitterLinkedInGoogle

Link: http://adda-association.org/mln-2020/
 
When Nov 24, 2020 - Nov 26, 2020
Where Paris
Submission Deadline Sep 30, 2020
Notification Due Oct 15, 2020
Final Version Due Oct 30, 2020
 

Call For Papers

-------------------
CALL FOR PAPERS
-------------------


3rd International Conference on
Machine Learning for Networking
--- MLN'2020 ---



Paris, France, November 24-26, 2020

http://www.adda-association.org/mln-2020/

MLN 2020 is the third 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 2020 will be held from
24th November to November 26th 2020, 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Authors are invited to submit complete unpublished papers, which are not under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=mln2020

The accepted papers will 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.



The topics of this conference 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
---------------

Paper submission: September 4, 2020
Notification of acceptance: October 02, 2020
Final manuscripts due: October 16, 2020
Conference: November 24-26, 2020
Submission
----------

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=mln2020

The accepted papers will 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 least
one author of each accepted paper is required to register and present the paper.

Best paper award
----------------

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

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
Computer SI on SE4RAI 2023   IEEE Computer - Special Issue on Software Engineering for Responsible AI
DL-ASAP 2022   Pattern Recognition Letters | Deep Learning for Acoustic Sensor Array Processing
SENSORS Special Issue 2022   'Next Generation of Secure and Resilient Healthcare Data Processing'
Sensors-SI-ISHMA 2021   [Sensors, IF 3.275] Special Issue on Intelligent Sensors for Human Motion Analysis
DLIS 2022   Deep Learning for IoT Security - Frontiers in Big Data Journal
ICPRS 2022   12th International Conference on Pattern Recognition Systems
ICSMLE 2022   International Conference on Statistics and Machine Learning in Electronics