Hybrid Conferencee

International Conference on Machine Learning Algorithms and Applications (ICML2A - 27)

1st - 2nd June 2027 | Stockholm, Sweden
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Conference Brochure
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

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 Stockholm. 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 Stockholm 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 Stockholm conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Stockholm, 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 Stockholm."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICML2A 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 Computational Science, 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
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