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Hybrid Event

13th - 14th July 2026 | Kuala Lumpur, Malaysia

International Conference on Statistical Learning and Machine Learning Integration (ICSLMLI - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSLMLI) 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, 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
Integration of statistical learning and machine learning
02
Applications of machine learning in statistics
03
Statistical methods for predictive modeling
04
Bayesian statistics and machine learning synergy
05
Statistical learning techniques for big data
06
Feature selection methods in statistical learning
07
Statistical validation of machine learning models
08
Deep learning applications in statistical analysis
09
Statistical approaches to model interpretability
10
Ensemble methods in statistical learning
11
Statistical methods for time series forecasting
12
Applications of neural networks in statistics
13
Statistical learning in bioinformatics
14
Causal inference in machine learning contexts
15
Statistical frameworks for unsupervised learning
16
Statistical software for machine learning applications
17
Challenges in integrating statistics and machine learning
18
Statistical methods for anomaly detection
19
Ethics in statistical machine learning applications
20
Future directions in statistical learning research

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.

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.