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IWSMAI 2020 : International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI 2020)

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Link: https://sites.google.com/view/iwsmai/home
 
When Apr 6, 2020 - Apr 9, 2020
Where Warsaw, Poland
Submission Deadline Dec 15, 2019
Notification Due Jan 13, 2020
Final Version Due Feb 10, 2020
Categories    artificial intelligence   statistical methods   data analysis and data mining   big data
 

Call For Papers

The aim of IWSMAI'20 is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of IWSMAI 2020. This workshop will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of Statistical Methods and Artificial Intelligence fields. The workshop will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.

Topics:

· Artificial Intelligence

· Statistical methods

· Data Analysis and Data mining

· Computational Statistic

· Supervised and unsupervised learning

· Statistical methodology

· Bioinformatics

· Medical statistics

· Deep Learning

· Intelligent Transportation Systems

· Data Collection and Applications

· Data Science and Blockchain Technology

· Data Science and Artificial Intelligence

· Big Data

· Mathematical Statistics

· Economic intelligence

· Statistical Software (R, SAS, Python)


All accepted papers will be scheduled for oral presentations and will be included in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line (indexed by Scopus)


Selected papers will be invited for publication, in the special issues of:

-International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer: https://www.springer.com/journal/12652

- International Journal of Computing and Informatics (IF: 0.504): http://www.cai.sk/ojs/index.php/cai/index

- IEEE Intelligent Transportation Systems Magazine (IF: 3.654), by IEEE: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5117645

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