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MLN 2020 : 3rd International Conference on Machine Learning for Networking (MLN'2020) | |||||||||||||
Link: http://adda-association.org/mln-2020/ | |||||||||||||
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Call For Papers | |||||||||||||
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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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal, to https://easychair.org/conferences/?conf=mln2020 The accepted papers will be published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. |
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