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

26th Nov - 27th Nov 2026,
Madrid, Spain

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

27th October 2026

Final Paper Submission

1st November 2026

Registration Deadline

11th November`2026

Conference Date

26th Nov - 27th Nov 2026

Call for Papers

The International Conference on Statistical Learning and Machine Learning Integration 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 Statistics, 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
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
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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