IWSMAI 2021 : 2nd International Workshop on Statistical Methods and Artificial Intelligence

Artificial intelligence (AI) is mainly data-driven. It uses statistical methods through human-machine relationships during the generation of data, production of algorithms, and prediction of results. The International Workshop on Statistical Methods and Artificial Intelligence will be an annual meeting of researchers in artificial intelligence, statistical methods, machine learning, and related areas.

This workshop will include (but will not be limited to) the following topics:

1. Artificial Intelligence

2. Statistical methods

3. Data Analysis and Data mining

4. Computational Statistic

5. Supervised and unsupervised learning

6. Statistical methodology

7. Bioinformatics

8. Medical statistics

9. Deep Learning

10. Data Collection and Applications

11. Data Science and Blockchain Technology

12. Data Science and Artificial Intelligence

13. Data Science and Blockchain Technology

14. Mathematical Statistics

15. Sampling Techniques and Applications

16. Statistical Software (R, SAS, Python)

17. Neural network

18. Epidemic model

The International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI) will be held at the March 23 – 26, 2021, Warsaw, Poland

The aim of IWSMAI 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 2021. This workshop will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields. The workshop will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers.

IWSMAI 2021 accepted papers will be published by Elsevier Science in the Procedia Computer Science series on-line. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters’ Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com) and Engineering Village (Ei) (www.engineeringvillage.com). This includes EI Compendex (www.ei.org/compendex). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers.