International Conference on Statistical Learning and Computational Intelligence
(ICSL-CI-27)

8th Mar - 9th Mar 2027,
Guangzhou, China

Join as Attendee Submit Your Abstract/Paper

Complete Registration → Browse conference registration categories.
Quality articles will be published in well reputed journals like Scopus Indexed or Web of Science **

Pre-Enrollment

6th February 2027

Final Paper Submission

11th February 2027

Registration Deadline

21st February`2027

Conference Date

8th Mar - 9th Mar 2027

Call for Papers

The International Conference on Statistical Learning and Computational Intelligence invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Computational Science, Data Science, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Statistical Learning Techniques In Big Data
02
Computational Intelligence Applications In Ai
03
Machine Learning For Predictive Modeling
04
Data Mining Techniques For Knowledge Discovery
05
Statistical Methods For Data Analysis
06
Challenges In Statistical Learning Research
07
Real-time Analytics In Computational Intelligence
08
Ai Applications In Healthcare Analytics
09
Ethics In Statistical Learning Practices
10
Future Trends In Computational Intelligence
11
Collaborative Approaches In Statistical Research
12
Data Visualization Techniques In Analytics
13
Machine Learning For Anomaly Detection
14
Predictive Analytics In Social Sciences
15
Statistical Modeling For Financial Forecasting
16
Impact Of Ai On Statistical Methodologies
17
Interdisciplinary Research In Computational Intelligence
18
Statistical Learning For Environmental Studies
19
Ai-driven Decision Support Systems
20
Applications Of Statistical Learning In Education
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All submissions undergo a rigorous peer-review process conducted by subject matter experts to ensure originality and technical quality. Accepted papers will be considered for publication in reputed journals and conference proceedings.

Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review