2019 International Conference on Machine Learning and Intelligent Systems

Added by wanqing06 on 2019-02-14

Conference Dates:

Start Date Start Date: 2019-11-19
Last Date Last Day: 2019-11-22

Conference Contact Info:

Contact Person Contact Person: Senlin
Email Email: [email protected]
Address Address: National Dong Hwa University, Hualien, Taiwan

Conference Description:

[Scopus/Ei Compendex] 2019 International Conference on Machine Learning and Intelligent Systems (MLIS 2019)

Website: http://www.machinelearningconf.org/
Time: November 19-22, 2019
Venue: National Dong Hwa University, Hualien, Taiwan

*Introduction
2019 International Conference on Machine Learning and Intelligent Systems (MLIS 2019), supported by National Dong Hwa University (NDHU), is scheduled to be held in National Dong Hwa University (NDHU) in Taiwan during November 19-22, 2019. The event is aimed at providing a platform for knowledge exchange of the most recent scientific and technological advances and to strengthen the links in the scientific community. The plenary session of MLIS 2019 will include Keynote Speeches, Invited Speeches, Poster Presentations and Oral Presentations.

*Brief Program:
November 19th Registration
November 20th Welcoming Speech, Keynote Speeches and Poster Presentation
November 21st Invited Speeches and Oral Presentations
November 22nd Group Tour
Detail conference program will be updated a month before the beginning of the conference.

*Call for Papers
1. Abstracts and unpublished full-length papers are welcome
2. Topics should be related to Machine Learning and Intelligent Systems
3. Accepted full papers will be published in the conference proceeding (indexed by Ei Compendex, Scopus, Inspec...)
4. All abstracts/papers should be submitted via MLIS Submission System: http://paper.academicconf.com/author/log in.aspx?confname=mlis2019

*Topics
Computational Intelligence, Data Mining, Deep Learning, Expert Systems, Human Computer Interaction, Image Processing, Natural Language Processing, Neural Networks, Pattern Recognition, Robots, Sentiment Analysis, Signal Processing, Video Processing
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