10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

24th - 25th October 2026 | Florence, Italy

International Conference on Machine Learning and Intelligent Systems (ICMLIS - 26)

Apply to Present Register as Listener
Register for Participation → View available registration categories.
4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLIS) 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 Information Science,Linguistics,Social Sciences, 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
Innovations in machine learning algorithms
02
Applications of AI in intelligent systems
03
Ethical considerations in machine learning
04
Deep learning vs traditional machine learning
05
Machine learning in healthcare applications
06
Data preprocessing techniques for ML
07
Supervised vs unsupervised learning methods
08
Reinforcement learning in real-world scenarios
09
Challenges in machine learning deployment
10
Explainable AI and transparency issues
11
Machine learning for social good
12
Impact of ML on business processes
13
AI-driven decision-making systems
14
Future trends in intelligent systems
15
Machine learning in natural language processing
16
Scalability challenges in machine learning
17
Data privacy in machine learning applications
18
Interdisciplinary approaches to AI research
19
Machine learning for environmental sustainability
20
Real-time data processing in ML systems

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.