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Hybrid Event

2nd - 3rd July 2026 | Tokyo, Japan

International Conference on Machine Learning Algorithms and Applications (ICML2A - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICML2A) 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 Computational Science,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
Innovative machine learning algorithms
02
Applications of ML in various domains
03
Deep learning techniques and methodologies
04
Reinforcement learning for practical applications
05
Natural language processing advancements
06
Computer vision and machine learning
07
Ethics in machine learning applications
08
Transfer learning in real-world scenarios
09
Big data analytics using machine learning
10
Explainable AI in machine learning
11
Federated learning for privacy preservation
12
Challenges in training machine learning models
13
Data preprocessing techniques for ML
14
Real-time machine learning applications
15
Machine learning for predictive analytics
16
Ensemble methods in machine learning
17
Hyperparameter tuning for model optimization
18
Benchmarking machine learning algorithms
19
Future trends in machine learning research
20
Collaborative machine learning approaches

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.