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EI-CFAIS 2023 : 2023 International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2023)

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Link: http://www.cfais.org/
 
When Aug 18, 2023 - Aug 20, 2023
Where Nanjing, China
Submission Deadline Jul 10, 2023
Notification Due Jul 10, 2023
Final Version Due Jul 10, 2023
 

Call For Papers

★2023 4th International Conference on Frontiers of Artificial Intelligence and Statistics (CFAIS 2023)--Ei Compendex & Scopus—Call for paper
August 18-20, 2023|Nanjing, China|Website: www.cfais.org

★CFAIS 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Artificial Intelligence and Statistics can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations.

★Publication and Indexing
Accepted and presented papers of CFAIS 2023 will be published in the digital conference proceedings which will submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.
Excellent papers will be recommended to be published in the journal.

★Keynote Speakers
Prof. Weifeng Gao——Xidian University, China


★Program Preview/ Program at a glance
August 18: Registration + Icebreaker Reception
August 19: Opening Ceremony+ KN Speech+ Technical Sessions
August 20: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
PDF version submit via CMT: https://cmt3.research.microsoft.com/CFAIS2023

★CONTACT US
Ms. Riva H. W. Wong
Email: info@cfais.org
Website: www.cfais.org

Call for papers(http://www.cfais.org/cfp.html):

Approximate inference

Bayesian learning

Business process intelligence

Causal models

Classification

Clustering

Density estimation

Federated learning

Gaussian processes

Generalization and regularization

Graphical models

High-performance computation

Intelligent optimization

Kernel and spectral methods

Large-scale optimization algorithm

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