Hybrid Conferencee

International Conference on Machine Learning and Statistical Computing (ICMLSC - 26)

29th - 30th July 2026 | Macau, China
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Macau. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Macau event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Macau conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Macau, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Macau."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLSC aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Statistics,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Machine learning techniques in statistics
02
Statistical computing for big data analysis
03
Applications of machine learning in research
04
Statistical methods for model evaluation
05
Machine learning for predictive modeling
06
Data visualization techniques in machine learning
07
Statistical challenges in machine learning
08
Machine learning for time series forecasting
09
Robustness in machine learning models
10
Applications of machine learning in finance
11
Statistical methods for feature selection
12
Machine learning in social sciences research
13
Deep learning and statistical methods
14
Ethics in machine learning applications
15
Machine learning for healthcare analytics
16
Statistical computing for high-dimensional data
17
Future trends in machine learning and statistics
18
Integrating machine learning with statistical theory
19
Statistical methods for ensemble learning
20
Machine learning for causal inference