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SCIS WSL 2020 : SCIENCE CHINA Information Sciences (SCIS) Special Focus on Weakly Supervised Learning

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Link: http://scis.scichina.com/cfp/scis2020-wsl.pdf
 
When N/A
Where N/A
Submission Deadline Jun 30, 2020
Notification Due Jul 31, 2020
Categories    artificial intelligence   machine learning   data mining
 

Call For Papers

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SCIENCE CHINA Information Sciences (SCIS, IF: 2.188)

Call for Papers --- Special Focus on "Weakly Supervised Learning"
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A special focus of the SCIENCE CHINA Information Sciences (SCIS, IF: 2.188; http://engine.scichina.com/publisher/scp/journal/SCIS ) will be dedicated to new progresses in weakly supervised learning. Prospective authors are invited to submit their original unpublished research and application contributions. The main purpose of this special topic is to publish the state-of-the-art weakly supervised learning theory, algorithms and applications.


TOPICS
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Topics of interest include but not limit to:

- Learning with incomplete supervision
- Learning with inexact supervision
- Learning with inaccurate supervision
- Semi-supervised learning/Active Learning/Crowd Sourcing
- Multi-instance learning/Multi-label learning
- Patial label learning
- Label distribution learning
- Label noise learning
- Few-shot learning
- Learning with Missing Label/Feature/View
- Learning with New Label/Feature/View


SUBMISSION
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The papers should be edited in the SCIS template, and should be submitted online through the manuscript submission system of the SCIENCE CHINA Information Sciences. The submission website is: https://mc03.manuscriptcentral.com/scis. You should choose Special Topic on Weakly Supervised Learning (2020). Information and guidelines on preparation of manuscripts are available on the journal website: http://scis.scichina.com.


IMPORTANT DATES
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- Submission deadline: June 30, 2020
- First-round decision notification: 1 month after submission
- First online publication 1 month after acceptance (can be indexed in SCI)
- Publication: November 1, 2020


CONTACT
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Dr. Kai JIANG, Scientific Editor
jiangkai@scichina.org, 010-64015683
SCIENCE CHINA Information Sciences Editorial Office

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