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Hybrid Event

5th - 6th August 2026 | Apia, Samoa

International Conference on Statistical Inference in Machine Learning and AI (ICSIMLAI - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSIMLAI) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics,Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Statistical inference in machine learning
02
Bayesian statistics for AI applications
03
Statistical challenges in deep learning
04
Causal inference in machine learning models
05
Statistical methods for model evaluation
06
Feature selection techniques in AI
07
Statistical learning theory and applications
08
Data preprocessing for machine learning
09
Statistical frameworks for AI ethics
10
Statistical tools for big data analytics
11
Statistical methods for reinforcement learning
12
Interpretability of machine learning models
13
Statistical issues in data privacy
14
Statistical modeling of complex systems
15
Statistical techniques for time series analysis
16
Unsupervised learning and statistical methods
17
Statistical evaluation of AI systems
18
Transfer learning in statistical contexts
19
Statistical power analysis in AI studies
20
Statistical education for machine learning

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.