The 7th International Workshop on Statistical Methods and Artificial Intelligence Â
In conjunction with the the 17th International Conference on Ambient Systems, Networks and Technologies (ANT)
April 14-16, 2026, Istanbul, TĂĽrkiye.Â
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Artificial intelligence (AI) is primarily data-driven, utilizing statistical methods through human-machine interactions in the generation of data, development of algorithms, and prediction of results. The International Workshop on Statistical Methods and Artificial Intelligence will serve as an annual gathering for researchers working in artificial intelligence, statistical methods, machine learning, and related fields.
This workshop will cover a wide range of topics, including (but not limited to) the following:
1. Artificial Intelligence
2. Statistical methods
3. Data Analysis and Data mining
4. Econometric modelÂ
5. Supervised and unsupervised learning
6. Statistical methodology
7. Bioinformatics
8. Medical statistics
9. Deep Learning
10. Data Collection and ApplicationsÂ
11. Data Science and Blockchain TechnologyÂ
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
19. Computational StatisticÂ
20. Artificial intelligence in financeÂ
The International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI) will be held at the April 14-16, 2026, Istanbul, TĂĽrkiye.
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. 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 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.Â
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 on Transportation Research Part A: Policy and Practice (IF: 3.69): https://www.journals.elsevier.com/transportation-research-part-a-policy-and-practice/Â
- International Journal of Computing and Informatics (IF: 0.504): http://www.cai.sk/ojs/index.php/cai/index
The 7th International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI) will be held in conjunction with the 17th International Conference on Ambient Systems, Networks, and Technologies (ANT). Â
For more information about the conference : https://cs-conferences.acadiau.ca/ant-26/Â Â Â
Papers selected and accepted in previous editions of IWSMAI:
Reinforcement Learning with Kelly Criterion for Optimal Portfolio Management of AAPL Stock
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