Call for Papers

International Conference on Statistical Learning in Data Science and AI(ICSLDSAI-27) invites researchers, academicians, and professionals to submit original research, case studies, and review papers. Submissions may address a wide range of topics relevant to the conference themes, including but not limited to the following areas:

International Conference on Statistical Learning in Data Science and AI(ICSLDSAI-27) 诚邀研究人员、学者及专业人士提交原创论文、案例研究及综述文章。投稿内容涵盖多个研究领域，包括但不限于以下方向：

Statistical learning algorithms in AI

Supervised vs unsupervised learning methods

Deep learning applications in statistics

Statistical learning for predictive modeling

Feature selection in statistical learning

Statistical learning in natural language processing

Reinforcement learning and statistics

Statistical learning in computer vision

Model evaluation in statistical learning

Statistical learning for big data

Ethics in AI and statistical learning

Transfer learning in statistical applications

Statistical learning for time series forecasting

Hybrid models in statistical learning

Statistical learning in healthcare analytics

Statistical learning for anomaly detection

Applications of statistical learning in finance

Statistical learning frameworks and tools

Challenges in statistical learning research

Future trends in statistical learning

All papers will undergo peer review, and accepted papers may be presented and considered for publication.

所有投稿将经过同行评审，录用论文可进行会议展示，并有机会发表。