Hybrid Conference (In Person / Virtual)

International Conference on Machine Learning Algorithms and Applications (ICML2A - 27)
31st - 1st April 2027 , Dublin, Ireland
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Conference Notifications:

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

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Dublin. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Dublin conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Dublin and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICML2A provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Computational Science, Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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