International Conference on

Statistical Techniques for Machine Learning and AI (ICSTMMLA-26)

21st – 22nd Oct 2026 | Miami, USA | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Statistical Techniques for Machine Learning and AI invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Statistics, Data Science encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning algorithms for statistical analysis
02
Statistical techniques in AI model evaluation
03
Feature selection methods in machine learning
04
Statistical learning theory applications
05
Data preprocessing for machine learning models
06
Ensemble methods in statistical learning
07
Deep learning and statistical inference
08
Bayesian statistics in AI applications
09
Statistical methods for big data analytics
10
Interpretability of machine learning models
11
Statistical challenges in AI deployment
12
Reinforcement learning and statistical methods
13
Statistical evaluation of AI systems
14
Transfer learning in statistical contexts
15
Statistical methods for time series analysis
16
Unsupervised learning and statistical techniques
17
Statistical issues in data privacy
18
Statistical frameworks for AI ethics
19
Applications of statistics in natural language processing
20
Statistical modeling of complex systems
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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