Hybrid Conferencee

International Conference on Machine Learning Models and Applications (ICMLMA - 26)

16th - 17th June 2026 | Florence, Italy
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 Florence. 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 Florence 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 Florence conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Florence, 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 Florence."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLMA 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 Artificial Intelligence,Data Science,Machine Learning, 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
Advancements in machine learning algorithms
02
Applications of machine learning in healthcare
03
Machine learning for financial forecasting
04
Deep learning techniques for data analysis
05
Reinforcement learning in real-world scenarios
06
Transfer learning in machine learning models
07
Machine learning for image and video analysis
08
Ethics in machine learning applications
09
Machine learning for natural language processing
10
Scalability challenges in machine learning
11
Interpretable machine learning models
12
Machine learning in cybersecurity applications
13
Federated learning for decentralized data
14
Machine learning for environmental monitoring
15
Challenges in deploying machine learning models
16
Machine learning in personalized medicine
17
Automated machine learning techniques
18
Machine learning for social media analytics
19
Impact of quantum computing on machine learning
20
Future trends in machine learning research