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International Conference on Machine Learning Techniques (MLTEC 2020)
November 21~22, 2020, Zurich, Switzerland
International Conference on Machine Learning Techniques (MLTEC 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.
International Conference on Machine Learning Techniques (MLTEC 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.
Topics of interest include, but are not limited to, the following
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
Neural Networks / Deep Learning
ML for NLP
Ubiquitous Machine Learning
Computer Vision
Bayesian Network
Data Mining
Call for Papers
Call for Papers
International Conference on Machine Learning Techniques (MLTEC 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques.
Paper Submission
Paper Submission
Authors are invited to submit papers through the conference Submission System by CLOSED. 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 2020, after further revisions, will be published in the special issue of the following journal.
Selected papers from MLTEC 2020, after further revisions, will be published in the special issue of the following journal.
Call For Participation
Call For Participation
Proceedings
Proceedings
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library
Speakers
Speakers
William R Simpson
Institute for Defense Analyses, USA
Xiaoxiang Zhu
University of Electronic Science and Technology of China, China
Zining Yang
University of Electronic Science & Technology of China, China
Omar ASBAYOU
Lumière University, France
Sami Ouali
College of Applied Sciences IBRI,Oman
College of Applied Sciences IBRI,Oman
Adam Barker
Indiana University,
USA
Rosario Catelli
University of Naples Federico II,
Ital
Xiongtao Cui
Xi`an University of Posts and Telecommunications, China
Yuanhao Shen
Xi`an University of Posts and Telecommunications, China
Uchechukwu Emejeamara
USA
Aviel J. Stein
Drexel University, USA
Abhilash Pani
ABB Global Industrial Private Limited, India
Yingxue Fu
University of St Andrews, United Kingdom
Aman Gupta
IIT (BHU), Varanasi, India
Vladislav Mikhailov
Sberbank, Russia
Shafia Khatun
International Islamic University Malaysia (IIUM), Malaysia
Invited Talk - Baihua Li
Loughborough University, UK
Cyprien Gottstein
Orange Labs, France
Janis Zuters
University of Latvia, Latvia
Yuqi Kong
University of Delaware, USA
Paulo César da Rocha Fonseca
Sidia R&D Institute, Brazil
Sponsors
Sponsors
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